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1. Absorbance-transmission and fluorescence excitation-emission matrix (A-TEEM) with multi-block data analysis and machine learning for accurate intraregional classification of Barossa Shiraz wine

Author:
Ranaweera K.R. Ranaweera; Susan E.P. Bastian; Adam M. Gilmore; Dimitra L. Capone; David W. Jeffery
Source:
Food control 2023 v.144 pp. 109335
ISSN:
0956-7135
Subject:
absorption; alcohols; cluster analysis; data collection; discriminant analysis; fluorescence; food safety; fructose; glucose; pH; principal component analysis; titratable acidity; wines
Abstract:
... Authentication of wine can be considered at different scales, with classification according to country, province/state, or appellation/wine producing region. An absorbance-transmission and excitation-emission matrix (A-TEEM) technique was applied for the first time to examine intraregional differences, using Shiraz wines (n = 186) produced during three vintages from five subregions of Barossa Vall ...
DOI:
10.1016/j.foodcont.2022.109335

2. Authenticating Tibetan pork in China by tracing the species and geographical features based on stable isotopic and multi-elemental fingerprints

Author:
Laiyu Zhao; Hongru Zhang; Feng Huang; Hao Liu; Tianze Wang; Chunhui Zhang
Source:
Food control 2023 v.145 pp. 109411
ISSN:
0956-7135
Subject:
altitude; carbon; discriminant analysis; food safety; hydrogen; models; multivariate analysis; nitrogen; oxygen isotopes; pork; China
Abstract:
... A potential tool for authenticating Tibetan pork based on species and geographical origins was investigated by isotopic and multi-elemental fingerprints to compare Tibetan pork and plain pork from various regions in China. In this study, carbon, nitrogen, hydrogen and oxygen isotope compositions and concentrations of 50 elements of a total of 93 pork samples (Tibetan pork from Tibet and Sichuan, J ...
DOI:
10.1016/j.foodcont.2022.109411

3. Critical assessment of chemometric models employed for varietal authentication of wine based on UHPLC-HRMS data

Author:
Leos Uttl; Kamila Bechynska; Mona Ehlers; Vaclav Kadlec; Klara Navratilova; Zbynek Dzuman; Carsten Fauhl-Hassek; Jana Hajslova
Source:
Food control 2023 v.143 pp. 109336
ISSN:
0956-7135
Subject:
chemometrics; decision support systems; discriminant analysis; flavonoids; food safety; grapes; tandem mass spectrometry; ultra-performance liquid chromatography; white wines
Abstract:
... The use of metabolic fingerprinting combined with advanced chemometric tools for wine authentication has increased in recent years. Although numerous studies, showing different authentication strategies, have been published, rarely any attention has been paid to the stability of used classification models over a longer time period. Here, we present a reliable and robust metabolic fingerprinting-ba ...
DOI:
10.1016/j.foodcont.2022.109336

4. Hemoglobin normalization outperforms other methods for standardizing dried blood spot metabolomics: A comparative study

Author:
Abhishek Jain; Montana Morris; Elizabeth Z. Lin; Sajid A. Khan; Xiaomei Ma; Nicole C. Deziel; Krystal J. Godri Pollitt; Caroline H. Johnson
Source:
Science of the total environment 2023 v.854 pp. 158716
ISSN:
0048-9697
Subject:
blood; comparative study; discriminant analysis; elderly; environment; environmental monitoring; equations; exposome; hemoglobin; metabolites; metabolome; metabolomics; neonates; potassium; principal component analysis; specific gravity; variance
Abstract:
... Dried blood spot (DBS) metabolomics has numerous applications in newborn health screening, exposomics, and biomonitoring of environmental chemicals in pregnant women and the elderly. However, accurate metabolite quantification is hindered by several challenges: notably the “hematocrit effect” and unknown blood-spotting volumes. Different techniques have been employed to overcome these issues but t ...
DOI:
10.1016/j.scitotenv.2022.158716

5. Hierarchical clustered multiclass discriminant analysis via cross-validation

Author:
Kei Hirose; Kanta Miura; Atori Koie
Source:
Computational statistics & data analysis 2023 v.178 pp. 107613
ISSN:
0167-9473
Subject:
algorithms; data analysis; data collection; discriminant analysis; prediction
Abstract:
... Linear discriminant analysis (LDA) is a well-known method for multiclass classification and dimensionality reduction. However, in general, ordinary LDA does not achieve high prediction accuracy when observations in some classes are difficult to be classified. A novel cluster-based LDA method is proposed that significantly improves prediction accuracy. Hierarchical clustering is adopted, and the di ...
DOI:
10.1016/j.csda.2022.107613

6. Identification of liquors from the same brand based on ultraviolet, near-infrared and fluorescence spectroscopy combined with chemometrics

Author:
Miao He; Xiaolong Chen; Jing Zhang; Jiawei Li; Dong Zhao; Yang Huang; Danqun Huo; Xiaogang Luo; Changjun Hou
Source:
Food chemistry 2023 v.400 pp. 134064
ISSN:
0308-8146
Subject:
automation; chemometrics; discriminant analysis; fluorescence; fluorescence emission spectroscopy; food chemistry; market economy; spectral analysis
Abstract:
... Accurate identification of various liquors from the same brand is of great significance for safeguarding the rights and interests of consumers and the market economy. Here, the spectral properties of liquors were studied based on ultraviolet (UV), near-infrared (NIR) and multi-way fluorescence spectroscopy. Then these liquors were distinguished by integrating their spectral properties with the che ...
DOI:
10.1016/j.foodchem.2022.134064

7. Instrument comparability of non-targeted UHPLC-HRMS for wine authentication

Author:
Mona Ehlers; Leos Uttl; Janet Riedl; Julia Raeke; Imke Westkamp; Jana Hajslova; Jens Brockmeyer; Carsten Fauhl-Hassek
Source:
Food control 2023 v.144 pp. 109360
ISSN:
0956-7135
Subject:
discriminant analysis; food safety; grapes; liquid chromatography; mass spectrometry; models; multivariate analysis; prediction; product authenticity; spectrometers; white wines
Abstract:
... Instrument comparability is a major prerequisite for the harmonization of non-targeted analytical approaches for food authentication. While non-targeted liquid chromatography coupled with mass spectrometry (LC-MS) is a powerful and widely used technique in authenticity studies, inter-laboratory or instrument comparison exercises are rare. For the first time, in the present study a comparison of tw ...
DOI:
10.1016/j.foodcont.2022.109360

8. Rapid classification of tef [Eragrostis tef (Zucc.) Trotter] grain varieties using digital images in combination with multivariate technique

Author:
Bezuayehu Gutema Asefa; Fikadu Tsige; Mina Mehdi; Tamirat Kore; Aschalew Lakew
Source:
Smart agricultural technology 2023 v.3 pp. 100097
ISSN:
2772-3755
Subject:
Eragrostis tef; agroecology; discriminant analysis; food supply chain; models; multivariate analysis; prediction
Abstract:
... Varieties of a single crop type may vary in several attributes affecting the choice at different spots of the food supply chain. This paper demonstrates a rapid classification of ten tef [Eragrostis tef (Zucc.) Trotter] grain varieties based on image processing and multivariate data analysis. Extreme Gradient Boosted Tree Discriminant Analysis (EGBDA) was applied for the variety-based classificati ...
DOI:
10.1016/j.atech.2022.100097

9. Sugarcane yield forecast using weather based discriminant analysis

Author:
S R Krishan Priya; R Keerti Balambiga; Pradeep Mishra; Soumitra Sankar Das
Source:
Smart agricultural technology 2023 v.3 pp. 100076
ISSN:
2772-3755
Subject:
crop yield; discriminant analysis; sugarcane; technology; weather; India
Abstract:
... Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant function analysis has been carried out. The scores calculated from function this along with the trend have used as regressors in developing yield foreca ...
DOI:
10.1016/j.atech.2022.100076

10. UPLC-Q-TOF/MS-based metabolomics reveals modulatory effects of Mesona chinensis Benth polysaccharide in liver injury mice induced by cyclophosphamide

Author:
Yuzhen Hong; Mingyue Shen; Qiang Yu; Yi Chen; Jianhua Xie
Source:
Food science and human wellness 2023 v.12 no.2 pp. 584-595
ISSN:
2213-4530
Subject:
Platostoma palustre; arachidonic acid; biosynthesis; body weight; cyclophosphamide; discriminant analysis; feces; food science; humans; liver; metabolites; metabolomics; models; phenylalanine; polysaccharides; principal component analysis; sphingolipids; taurine; tryptophan; tyrosine
Abstract:
... The main purpose of this study was to investigate the improvement effect of Mesona chinensis Benth polysaccharide (MP) on cyclophosphamide (CTX) induced liver injury in mice. To explore metabolic profile of liver tissue and feces among normal group, CTX-induced group and MP management group based on metabolomics method by using UPLC-Q-TOF/MS. The results showed that MP could alleviate liver injury ...
DOI:
10.1016/j.fshw.2022.07.061

11. A chemometric study on the identification of 5-methylfurfural and 2-acetylfuran as particular volatile compounds of oxidized fish oil based on SHS-GC-IMS

Author:
Yun-Qi Wen; Hong-Wei Zhang; Chang-Hu Xue; Xiao-Han Wang; Shi-Jie Bi; Li-Li Xu; Qian-Qian Xue; Yong Xue; Zhao-Jie Li; Joaquín Velasco; Xiao-Ming Jiang
Source:
Food chemistry 2023 v.399 pp. 133991
ISSN:
0308-8146
Subject:
Helianthus annuus; anchovies; chemometrics; discriminant analysis; docosahexaenoic acid; eicosapentaenoic acid; fish oils; food chemistry; gas chromatography; linseed oil; off odors; oxidation; vegetables
Abstract:
... Fish oil develops particular off-odors, mainly fishy odor, from the oxidation of its characteristic fatty acids, docosahexaenoic (DHA) and eicosapentaenoic (EPA). Anchovy oil (AO) was taken as representative of fish oils. This was compared to three vegetable oils with different fatty acid compositions, i.e. camellia, sunflower and linseed oil, and differential volatile compounds were identified by ...
DOI:
10.1016/j.foodchem.2022.133991

12. 16S rRNA gene sequencing reveals altered composition of gut microbiota in postoperative individuals with renal stones

Author:
Qiong Deng; Zhu Wang; Jieyan Wang; Jianwen Zhang; Ying Zhang; Hui Liang
Source:
Letters in applied microbiology 2022 v.75 no.2 pp. 271-280
ISSN:
0266-8254
Subject:
Escherichia; Pseudomonas; biomarkers; creatinine; discriminant analysis; feces; flora; genes; intestinal microorganisms; renal calculi; ribosomal RNA; surgery; urea
Abstract:
... Renal stones are a common urological disease with high prevalence and recurrence rates. Characterizing gut microbiome profiles of first‐onset renal calculi patients, both before and after surgery, may provide valuable insights and identify potential biomarkers for the disease. In this study, we explored the associations between the gut microbiome and renal stone formation using 16S ribosomal RNA ( ...
DOI:
10.1111/lam.13701

13. A 1D-SP-Net to Determine Early Drought Stress Status of Tomato (Solanum lycopersicum) with Imbalanced Vis/NIR Spectroscopy Data

Author:
Yuan-Kai Tu; Chin-En Kuo; Shih-Lun Fang; Han-Wei Chen; Ming-Kun Chi; Min-Hwi Yao; Bo-Jein Kuo
Source:
Agriculture (Basel) 2022 v.12 no.2 pp. -
ISSN:
2077-0472
Subject:
Solanum lycopersicum; agriculture; discriminant analysis; drought; near-infrared spectroscopy; neural networks; prediction; spectral analysis; tomatoes; water stress
Abstract:
... Detection of the early stages of stress is crucial in stabilizing crop yields and agricultural production. The aim of this study was to construct a nondestructive and robust method to predict the early physiological drought status of the tomato (Solanum lycopersicum); for this purpose, a convolutional neural network (CNN)-based model with a one-dimensional (1D) kernel for fitting the visible and n ...
DOI:
10.3390/agriculture12020259

14. Abiotic stress classification through spectral analysis of enhanced electrophysiological signals of plants

Author:
Kavya Sai; Neetu Sood; Indu Saini
Source:
Biosystems engineering 2022 v.219 pp. 189-204
ISSN:
1537-5110
Subject:
cold; cold stress; discriminant analysis; electrophysiology; physiological state; plant stress; signal strength; soybeans; spectral analysis; uncertainty
Abstract:
... Electrical activity in plants undergoes potential changes in interpreting the plant's physiological state. These electrical signals show arbitrary and probabilistic dynamics in which stress can be detected and analysed in the early stages of symptom appearance in plants. Evaluation of uncertainty in plant signals by signal strength enhancement is stress-specific. In this paper, we considered physi ...
DOI:
10.1016/j.biosystemseng.2022.04.025

15. Acrylamide formation and aroma evaluation of fried pepper sauce under different exogenous Maillard reaction conditions

Author:
Yuting Song; Zhuhong Ding; Yuzhu Peng; JiaYing Wang; Ting Zhang; Yihong Yu; Yi Wang
Source:
Food chemistry: X 2022 v.15 pp. 100413
ISSN:
2590-1575
Subject:
Maillard reaction; acrylamides; discriminant analysis; flavor; food chemistry; glutamic acid; odors; oxidation; pepper; peptides; taste; volatile organic compounds
Abstract:
... To explore the impact of the Maillard reaction on fried pepper sauce (FPS) flavor and safety quality, acrylamide and volatile organic compounds (VOCs) were measured in FPS. Acrylamide was detected in 10 Maillard treated groups and a total of 110 VOCs were identified, mainly aldehydes, ketones, alcohols, acids, etc., but the content of each group differed. Partial least squares discriminant analysi ...
DOI:
10.1016/j.fochx.2022.100413

16. Adaptive advantages of wood anatomical–hydraulic features linked to sex in a tropical dioecious species

Author:
Leonardo Beltrán-Rodríguez; Angélica Romero-Manzanares; Ma. Amparo Borja-de la Rosa; Juan Ignacio Valdez-Hernández; Mario Luna-Cavazos; José Blancas-Vázquez
Source:
Trees 2022 v.36 no.1 pp. 39-52
ISSN:
0931-1890
Subject:
dioecy; discriminant analysis; drought; hydraulic conductivity; morphometry; niches; risk factors; trees; wood; wood anatomy; Mexico
Abstract:
... KEY MESSAGE: Anatomical traits and features of Amphipterygium adstringens wood and hydraulic properties, both linked to sex, explain the performance of the species in its ecological niche. Androic and gynoic dioecious species respond structurally and functionally to the environmental conditions where they live. How are adaptive advantages manifested by each sex, from the anatomical water transport ...
DOI:
10.1007/s00468-021-02258-w

17. Adding dried distillers grains with solubles influences the rumen microbiome of meat goats fed lespedeza or alfalfa-based diets

Author:
Donielle Pannell; Brou Kouakou; Thomas H. Terrill; Ibukun M. Ogunade; Zaira M. Estrada-Reyes; Voris Bryant; Godstime Taiwo; Modoluwamu Idowu; Andres A. Pech-Cervantes
Source:
Small ruminant research 2022 v.214 pp. 106747
ISSN:
0921-4488
Subject:
Lachnospiraceae; Lespedeza cuneata; Medicago sativa; Ruminococcaceae; Ruminococcus; Succinivibrio; acetates; alfalfa; ammonium nitrogen; bacterial communities; body weight; butyrates; corn; crude protein; diet; discriminant analysis; fermentation; forage; genes; males; meat; microbiome; research; rumen fermentation; soybean meal
Abstract:
... We evaluated the effect of replacement of corn and soybean meal (SBM) with dried distillers grains with solubles (DDGS) in sericea lespedeza (SL; Lespedeza cuneata) and alfalfa (Medicago sativa)-based diets on ruminal fermentation and bacterial community of growing meat goats. Thirty-six male Spanish growing meat goats with an average body weight of 24 ± 1.8 kg were stratified by body weight and a ...
DOI:
10.1016/j.smallrumres.2022.106747
CHORUS:
10.1016/j.smallrumres.2022.106747

18. Adulteration Detection of Edible Bird’s Nests Using Rapid Spectroscopic Techniques Coupled with Multi-Class Discriminant Analysis

Author:
Jing Sheng Ng; Syahidah Akmal Muhammad; Chin Hong Yong; Ainolsyakira Mohd Rodhi; Baharudin Ibrahim; Mohd Noor Hidayat Adenan; Salmah Moosa; Zainon Othman; Nazaratul Ashifa Abdullah Salim; Zawiyah Sharif; Faridah Ismail; Simon D. Kelly; Andrew Cannavan
Source:
Foods 2022 v.11 no.16 pp. -
ISSN:
2304-8158
Subject:
adulterated products; agar; birds; chemometrics; collagen; discriminant analysis; market prices; spectral analysis; spectrometers; spectroscopy; traditional medicine; Malaysia
Abstract:
... Edible bird’s nests (EBNs) are vulnerable to adulteration due to their huge demand for traditional medicine and high market price. Presently, there are pressing needs to explore field-deployable rapid screening techniques to detect adulteration of EBNs. The objective of this study is to explore the feasibility of using a handheld near-infrared (VIS/SW-NIR) spectroscopic device for the determinatio ...
DOI:
10.3390/foods11162401

19. Adulteration detection of Qinghai-Tibet Plateau flaxseed oil using HPLC-ELSD profiling of triacylglycerols and chemometrics

Author:
Jinying Wang; Yuze Han; Xingrui Wang; Yingxia Li; Shuzhen Wang; Shengrui Gan; Guoxin Dong; Xia Chen; Shulin Wang
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.160 pp. 113300
ISSN:
0023-6438
Subject:
adulterated products; carbon; chemometrics; corn; discriminant analysis; linseed oil; peanuts; principal component analysis; rapeseed; soybeans; sunflower oil; sunflower seed; triacylglycerols; vegetables; China
Abstract:
... The purpose of this study was to develop a hierarchical approach by combining similarity evaluation (SE), discriminant analysis (DA) and principal component analysis (PCA) to detect the adulteration of Qinghai-Tibet Plateau flaxseed oil using triacylglycerol (TAG) profiles with HPLC-ELSD. SE could effectively differentiate pure flaxseed oil from non-flaxseed oil when the adulteration concentration ...
DOI:
10.1016/j.lwt.2022.113300

20. Adulteration detection of essence in sesame oil based on headspace gas chromatography-ion mobility spectrometry

Author:
Xinjing Dou; Liangxiao Zhang; Ruinan Yang; Xiao Wang; Li Yu; Xiaofeng Yue; Fei Ma; Jin Mao; Xiupin Wang; Peiwu Li
Source:
Food chemistry 2022 v.370 pp. 131373
ISSN:
0308-8146
Subject:
adulterated products; chemometrics; cooking fats and oils; discriminant analysis; food chemistry; headspace analysis; prices; principal component analysis; sesame oil; spectroscopy; China; South East Asia
Abstract:
... Sesame oil is a traditional and delicious edible oil in China and Southeast Asia with a high price. However, sesame oil essence was often illegally added to cheaper edible oils to counterfeit sesame oil. In this study, a rapid and accurate headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) method was proposed to detect the counterfeit sesame oil where the other cheap oils were adul ...
DOI:
10.1016/j.foodchem.2021.131373

21. Advanced machine learning algorithms for flood susceptibility modeling — performance comparison: Red Sea, Egypt

Author:
Ahmed M. Youssef; Hamid Reza Pourghasemi; Bosy A. El-Haddad
Source:
Environmental science and pollution research 2022 v.29 no.44 pp. 66768-66792
ISSN:
0944-1344
Subject:
altitude; discriminant analysis; environmental management; flood control; inventories; land cover; land use; linear models; lithology; pollution; regression analysis; research; spatial data; streams; support vector machines; variance; Egypt; Red Sea
Abstract:
... Floods are among the most devastating environmental hazards that directly and indirectly affect people’s lives and activities. In many countries, sustainable environmental management requires the assessment of floods and the likely flood-prone areas to avoid potential hazards. In this study, the performance and capabilities of seven machine learning algorithms (MLAs) for flood susceptibility mappi ...
DOI:
10.1007/s11356-022-20213-1

22. Amino acid determination by HPLC combined with multivariate approach for geographical classification of Malaysian Edible Bird’s Nest

Author:
Ting Hun Lee; Chia Hau Lee; Nurul Alia Azmi; Rock Keey Liew; Norfadilah Hamdan; Syie Luing Wong; Pei Ying Ong
Source:
Journal of food composition and analysis 2022 v.107 pp. 104399
ISSN:
0889-1575
Subject:
aspartic acid; cysteine; discriminant analysis; food composition; functional foods; high performance liquid chromatography; least squares; models; prediction; principal component analysis; tryptophan; Malaysia
Abstract:
... Edible Bird’s Nest (EBN) is mainly used as a functional food where its quality is affected by many factors including geographical region. This study aims to differentiate the EBN from West Malaysia (WM) and East Malaysia (EM) based on amino acid profiles by high-performance liquid chromatography (HPLC) combined with multivariate approach. A total of 33 authentic EBN samples were collected from WM ...
DOI:
10.1016/j.jfca.2022.104399

23. Amino acid, sugar, phenolic, and terpenoid profiles are capable of distinguishing Citrus tristeza virus infection status in grapefruit, lemon, mandarin, and sweet orange

Author:
Wallis Christopher M.; Gorman Zachary; Rattner Rachel; Hajeri Subhas; Yokomi Raymond
Source:
Frontiers in plant science 2022 v.17 no.5 pp. -
ISSN:
1664-462X
Subject:
Citrus; Citrus tristeza virus; amino acids; cultivars; death; discriminant analysis; genotype; grapefruits; leaves; lemons; metabolites; metabolomics; oranges; phenolic compounds; sugars; terpenoids
Abstract:
... Citrus tristeza virus (CTV) is the most severe viral disease for citrus production. Many strains of CTV have been characterized and their symptomology widely varies, ranging from mild or asymptomatic infections, to severe symptomology that results in substantial yield loss or host death. The capacity of the different CTV strains to affect the biochemistry of different citrus species has remained l ...
Datasets:
Data from: Amino acid, sugar, phenolic, and terpenoid profiles are capable of distinguishing Citrus tristeza virus infection status in grapefruit, lemon, mandarin, and sweet orange leaves
Handle:
10113/7802865
DOI:
10.1371/journal.pone.0268255

24. Analysis of metabolites of coix seed fermented by Monascus purpureus

Author:
Qi Mei; Zhaona Xu; Quanye Wu; Likang Qin; Haiying Zeng; Yi Zhu
Source:
Food bioscience 2022 v.50 pp. 102054
ISSN:
2212-4292
Subject:
Coix; Monascus purpureus; androstenedione; androsterone; arginine; color; discriminant analysis; fermentation; flavonoids; food industry; metabolites; metabolomics; peptides; prasterone; progesterone reductase; tryptophan
Abstract:
... In this study, an untargeted metabolomics method based on LC-MS was used to investigate the differential metabolites of coix seed after fermentation by Monascus purpureus. The compounds with highly correlated variable importance in projection (VIP) values of orthogonal partial least squares discriminant analysis (OPLS-DA) were selected as the important metabolites of coix seed samples. Coix seed w ...
DOI:
10.1016/j.fbio.2022.102054

25. Analysis of morphological variations of three Adlerius (Diptera: Psychodidae) species collected in two cutaneous leishmaniasis endemic foci of Turkey

Author:
Hakan Kavur; Huseyin Arikan; Seray Toz; Ibrahim Cuneyt Balcioglu; Yusuf Ozbel
Source:
International journal of tropical insect science 2022 v.42 no.1 pp. 93-102
ISSN:
1742-7592
Subject:
Phlebotominae; cutaneous leishmaniasis; discriminant analysis; females; humans; insects; males; morphometry; principal component analysis; sand; visceral leishmaniasis
Abstract:
... Leishmaniasis, transmitted to human by sand flies, is a neglected vector-borne diseases and has two clinical forms: cutaneous (CL) and visceral leishmaniasis (VL) in Turkey. Subgenus of Adlerius are known as probable vectors of both forms of leishmaniasis in Turkey. Examined three species belonging to Adlerius are difficult to distinguish morphologically and have similar taxonomic characters. The ...
DOI:
10.1007/s42690-021-00521-8

26. Analysis of volatile odor compounds and aroma properties of European vinegar by the ultra-fast gas chromatographic electronic nose

Author:
Ruo-Chen Liu; Rong Li; Ying Wang; Zi-Tao Jiang
Source:
Journal of food composition and analysis 2022 v.112 pp. 104673
ISSN:
0889-1575
Subject:
acetic acid; apples; condiments; discriminant analysis; electronic nose; food composition; furfural; gas chromatography; guaiacol; isopropyl alcohol; odors; principal component analysis; propionic acid; pyrazines; vinegars; wines
Abstract:
... Vinegar is a very popular condiment with different species and aroma profiles. Eighty-three volatile odor compounds (VOCs) were identified from European vinegar using ultra-fast gas chromatographic electronic nose (UFGC E-nose), of which there were 61 VOCs with odor activity value (OAV) ≥ 1. Among the 61 VOCs, acetic acid, ethyl isovalerate, propionaldehyde, butanoic acid, ethyl cinnamate, and gua ...
DOI:
10.1016/j.jfca.2022.104673

27. Andean rain shadow effect drives phenotypic variation in a widely distributed Austral rodent

Author:
Pablo Teta; Noé U. de la Sancha; Guillermo D'Elía; Bruce D. Patterson
Source:
Journal of biogeography 2022 v.49 no.10 pp. 1767-1778
ISSN:
0305-0270
Subject:
Cricetidae; biodiversity; biogeography; climate; data collection; discriminant analysis; evolution; latitude; longitude; mice; phenotypic variation; primary productivity; rain; regression analysis; sexual dimorphism; skull; temperature; Andes region; Argentina
Abstract:
... AIM: Mountains cover approximately 22% of the planet's terrestrial surface and have dramatic effects on climate and biodiversity. The rain shadow effect is a common feature on mountain ranges worldwide and its effects on ecology and evolution of species, particularly morphology, are incompletely known. Our aim is to identify the correlates that best describe morphological variation along a pronoun ...
DOI:
10.1111/jbi.14468

28. Application of IR and UV–VIS spectroscopies and multivariate analysis for the classification of waste vegetable oils

Author:
Alberto Mannu; Matteo Poddighe; Sebastiano Garroni; Luca Malfatti
Source:
Resources, conservation, and recycling 2022 v.178 pp. 106088
ISSN:
0921-3449
Subject:
adulterated products; data collection; discriminant analysis; least squares; principal component analysis; qualitative analysis; spectral analysis; vegetable oil; vegetables
Abstract:
... Due to the ever-increasing worldwide interest in the exploitation of waste vegetable oils, the development of analytical tools able to detect their adulteration with edible oils, is considered a priority for the scientific and industrial community. In this work, edible and waste vegetable oils have been analysed by Fourier Transform-InfraRed (FT-IR) and Ultraviolet-Visible (UV–VIS) spectroscopies ...
DOI:
10.1016/j.resconrec.2021.106088

29. Application of an Electronic Nose and HS-SPME/GC-MS to Determine Volatile Organic Compounds in Fresh Mexican Cheese

Author:
Héctor Aarón Lee-Rangel; German David Mendoza-Martinez; Lorena Diaz de León-Martínez; Alejandro Enrique Relling; Anayeli Vazquez-Valladolid; Monika Palacios-Martínez; Pedro Abel Hernández-García; Alfonso Juventino Chay-Canul; Rogelio Flores-Ramirez; José Alejandro Roque-Jiménez
Source:
Foods 2022 v.11 no.13 pp. -
ISSN:
2304-8158
Subject:
Holstein; Jersey; cheeses; dairy cattle; dairy industry; discriminant analysis; electronic nose; food industry; milk; propionic acid; volatile organic compounds
Abstract:
... Electronic devices have been used to describe chemical compounds in the food industry. However, there are different models and manufacturers of these devices; thus, there has been little consistency in the type of compounds and methods used for identification. This work aimed to determine the applicability of electronic nose (e-nose) Cyroanose 320 to describe the differentiation of volatile organi ...
DOI:
10.3390/foods11131887

30. Application of energy dispersive X-ray fluorescence spectrometry and near-infrared reflectance spectroscopy combined with multivariate statistical analysis for discriminating the geographical origin of soybeans

Author:
Namhoon Kim; Mira Jang; Juyeon Jo; Juhyun Park; Aekyoung Kim; Insook Hwang
Source:
Food control 2022 v.140 pp. 109140
ISSN:
0956-7135
Subject:
chemometrics; discriminant analysis; energy-dispersive X-ray analysis; food safety; models; near-infrared spectroscopy; prediction; principal component analysis; provenance
Abstract:
... Energy dispersive X-ray fluorescence spectrometry (ED-XRF) and near-infrared reflectance spectroscopy (NIRS), two non-destructive and rapid techniques, were explored to classify the geographical origin of soybeans. Multivariate statistical methods, including principal component analysis (PCA), discriminant analysis (DA), and modified partial least squares (MPLS), were applied as a chemometric tool ...
DOI:
10.1016/j.foodcont.2022.109140

31. Application of infrared spectroscopic techniques to cheese authentication: A review

Author:
Larissa K R Silva; Leandro S Santos; Sibelli P B Ferrão
Source:
International journal of dairy technology 2022 v.75 no.3 pp. 490-512
ISSN:
1364-727X
Subject:
cheeses; chemometrics; dairy technology; discriminant analysis; infrared spectroscopy; principal component analysis; provenance
Abstract:
... Infrared spectroscopy has been shown to be efficient in cheese authentication due to the advantages of high sensitivity and speed of analysis, especially when associated with chemometrics. This review discusses approaches on the authenticity, the principles of near‐ and middle‐infrared techniques and the importance of chemometrics for cheese authentication. The spectroscopic techniques proved to b ...
DOI:
10.1111/1471-0307.12859

32. Application of stable isotopic and elemental composition combined with random forest algorithm for the botanical classification of Chinese honey

Author:
Zhaolong Liu; Tianyang Xu; Jinhui Zhou; Lanzhen Chen
Source:
Journal of food composition and analysis 2022 v.110 pp. 104565
ISSN:
0889-1575
Subject:
Acacia; Helianthus annuus; Vicia; Ziziphus; data collection; discriminant analysis; elemental composition; food composition; honey; melissopalynology; pollen; stable isotopes
Abstract:
... To ensure that honey belongs to a very appreciated botanical class, the classical methodology is melissopalynology analysis to identify and count pollen grains. However, this method is time-consuming and laborious. In this work, four stable isotopes (δ¹³Cₕ, δ¹³Cₚ, δ¹⁸O and δ²H) and twelve elemental contents (Na, Mg, Ca, K, Fe, Cr, Mn, Co, Cu, Sr, Se, Mo) were used to build the dataset, and the Ran ...
DOI:
10.1016/j.jfca.2022.104565

33. Applying Machine Learning Algorithms for the Classification of Mink Infected with Aleutian Disease Using Different Data Sources

Author:
Duy Ngoc Do; Guoyu Hu; Pourya Davoudi; Alimohammad Shirzadifar; Ghader Manafiazar; Younes Miar
Source:
Animals 2022 v.12 no.18 pp. -
ISSN:
2076-2615
Subject:
Aleutian mink disease; Carnivore amdoparvovirus 1; Neovison vison; algorithms; capsid; counterimmunoelectrophoresis; data collection; decision support systems; discriminant analysis; enzyme-linked immunosorbent assay; farms; fur; genomics; industry; livestock; mink; models; Nova Scotia
Abstract:
... American mink (Neogale vison) is one of the major sources of fur for the fur industries worldwide, whereas Aleutian disease (AD) is causing severe financial losses to the mink industry. A counterimmunoelectrophoresis (CIEP) method is commonly employed in a test-and-remove strategy and has been considered a gold standard for AD tests. Although machine learning is widely used in livestock species, l ...
DOI:
10.3390/ani12182386

34. Aroma effects of key volatile compounds in Keemun black tea at different grades: HS-SPME-GC-MS, sensory evaluation, and chemometrics

Author:
Dan Su; Jiao-Jiao He; Yan-Zhu Zhou; Ya-Li Li; Hong-Jie Zhou
Source:
Food chemistry 2022 v.373 pp. 131587
ISSN:
0308-8146
Subject:
black tea; chemometrics; discriminant analysis; flavor; food chemistry; gas chromatography-mass spectrometry; geraniol; headspace analysis; linalool; methyl salicylate; models; odors; sensory evaluation; solid phase microextraction
Abstract:
... The present study aimed to explore the relationship between the grade and the characteristic aroma in Keemun black tea (KBT). Headspace solid-phase microextraction (HS-SPME), gas chromatography-mass spectrometry (GC-MS), sensory evaluation, and chemometrics were employed to determine the changes in the flavor evolution of KBT at grade. The results showed that a total of 110 volatile components wer ...
DOI:
10.1016/j.foodchem.2021.131587

35. Assessing environmental control strategies in cage-free aviary housing systems: Egg production analysis and Random Forest modeling

Author:
Andrés F. Gonzalez-Mora; Alain N. Rousseau; Araceli D. Larios; Stéphane Godbout; Sébastien Fournel
Source:
Computers and electronics in agriculture 2022 v.196 pp. 106854
ISSN:
0168-1699
Subject:
agriculture; air quality; animal welfare; aviaries; discriminant analysis; ecological footprint; egg production; eggs; electronics; models; principal component analysis; relative humidity; temperature; time series analysis; welfare assessment; Canada
Abstract:
... Since 1990, worldwide egg production has increased on average 2.8% per year. This increase has drawn the attention of animal welfare advocates. In Canada, new challenges have emerged, among them: increased awareness in animal welfare and environmental footprint and a shift to cage-free egg production systems (CFSs). Welfare assessment of environmental control strategies (ECSs), and deployment of e ...
DOI:
10.1016/j.compag.2022.106854

36. Assessing phosphorus nutritional status in maize plants using leaf-based hyperspectral measurements and multivariate analysis

Author:
Karym Mayara de Oliveira; Renato Herrig Furlanetto; Marlon Rodrigues; Glaucio Leboso Alemparte Abrantes dos Santos; Amanda Silveira Reis; Luís Guilherme Teixeira Crusiol; Marcos Rafael Nanni; Everson Cezar; Roney Berti de Oliveira
Source:
International journal of remote sensing 2022 v.43 no.7 pp. 2560-2580
ISSN:
1366-5901
Subject:
corn; crop management; diammonium phosphate; discriminant analysis; leaves; malnutrition; models; multivariate analysis; nutrition assessment; nutritional status; phosphorus; phosphorus fertilizers; principal component analysis; qualitative analysis; reflectance; spectroradiometers; superphosphate
Abstract:
... Remote sensing techniques have the potential to monitor physiological and biochemical changes caused by nutritional stress in plants. However, few studies have monitored the influence of foliar phosphorus levels on the spectral responses of plants, especially maize. This work aimed to assess phosphorus nutritional status in maize plants subjected to different sources and doses of phosphate fertili ...
DOI:
10.1080/01431161.2022.2064198

37. Assessing the potential of amino acid δ13C and δ15N analysis in terrestrial and freshwater ecosystems

Author:
Alexi C. Besser; Emma A. Elliott Smith; Seth D. Newsome
Source:
journal of ecology 2022 v.110 no.4 pp. 935-950
ISSN:
0022-0477
Subject:
carbon; discriminant analysis; energy flow; essential amino acids; freshwater; isoleucine; leucine; lysine; nitrogen; phenylalanine; threonine; trophic levels; valine; Chihuahuan Desert; New Mexico
Abstract:
... Understanding the structure and dynamics of food webs requires accurate estimates of energy flow among organisms. Bulk tissue carbon (δ¹³C) and nitrogen (δ¹⁵N) isotope analysis is often used to this end; however, the limitations of this technique can outweigh the benefits. The isotope analysis of individual amino acids is being increasingly employed to trace energy flow and estimate consumer troph ...
DOI:
10.1111/1365-2745.13853

38. Assessing the quality of dry sausages using fluorescence spectroscopy, physico‐chemical, and dynamic testing rheology: A preliminary study

Author:
Moriken Sangaré; Lonseny Traoré; Christine Chèné; Romdhane Karoui
Source:
Journal of texture studies 2022 v.53 no.5 pp. 693-704
ISSN:
0022-4901
Subject:
discriminant analysis; fluorescence; fluorescence emission spectroscopy; loss modulus; prediction; principal component analysis; protein content; rapid methods; rheology; sausages; texture; viscoelasticity; water content; France
Abstract:
... The viscoelastic and the structure properties of three brands of dry sausages (Auvergne, Beef‐poultry, and Galbanetto) were studied using dynamic rheology and fluorescence spectroscopy. The storage and the loss modulus of sausage samples showed a viscoelastic character. The principal component analysis carried out on the normalized rheological and physico‐chemical parameters allowed to differentia ...
DOI:
10.1111/jtxs.12711

39. Assessing the variability and discriminatory power of elemental fingerprints in whiteleg shrimp Litopenaeus vannamei from major shrimp production countries

Author:
Robert P. Davis; Claude E. Boyd; Ravibabu Godumala; Avanigadda B. Ch Mohan; Arturo Gonzalez; Nguyen Phuong Duy; Pande Gde Sasmita J; Nur Ahyani; Olga Shatova; Joshua Wakefield; Blake Harris; Aaron A. McNevin; D. Allen Davis
Source:
Food control 2022 v.133 pp. 108589
ISSN:
0956-7135
Subject:
Litopenaeus vannamei; databases; discriminant analysis; food safety; mineralization; models; muscle tissues; provenance; seafoods; shrimp; traceability; Ecuador; India; Indonesia; Thailand; Vietnam
Abstract:
... Provenance of seafood items is a concern for consumers and importers alike. Elemental profiling has been put forth as a potential tool to improve seafood traceability. Whiteleg shrimp Litopenaeus vannamei collected from farms in Ecuador, India, Indonesia, Vietnam, and Thailand were classified to country of origin based on element concentrations in muscle tissue. Shrimp were dried, digested, and an ...
DOI:
10.1016/j.foodcont.2021.108589

40. Assessment of Body Composition and Physical Performance of Young Soccer Players: Differences According to the Competitive Level

Author:
Stefania Toselli; Mario Mauro; Alessia Grigoletto; Stefania Cataldi; Luca Benedetti; Gianni Nanni; Riccardo Di Miceli; Paolo Aiello; Davide Gallamini; Francesco Fischetti; Gianpiero Greco
Source:
Biology 2022 v.11 no.6 pp. -
ISSN:
2079-7737
Subject:
bioelectrical impedance; body mass index; calves; discriminant analysis; lean body mass; multivariate analysis; physical activity; sports
Abstract:
... Soccer is a multifactorial sport, in which players are expected to possess well developed physical, psychological, technical, and tactical skills. Thus, the anthropometric and fitness measures play a determinant role and could vary according to the competitive level. Therefore, the present study aimed to verify differences in body composition and physical performance between two soccer team. 162 y ...
DOI:
10.3390/biology11060823

41. Assessment of geographical origin of virgin coconut oil using inductively coupled plasma mass spectrometry along with multivariate chemometrics

Author:
Amit; Rahul Jamwal; Shivani Kumari; Simon Kelly; Andrew Cannavan; Dileep Kumar Singh
Source:
Current research in food science 2022 v.5 pp. 545-552
ISSN:
2665-9271
Subject:
atomic absorption spectrometry; chemometrics; coconut oil; consumer demand; cooking fats and oils; data collection; discriminant analysis; drugs; least squares; models; prediction; principal component analysis; provenance; research
Abstract:
... Recently, Virgin coconut oil (VCO) has emerged as one of the most favorable edible oils because of its application in cooking, frying as well as additive used in food, pharmaceuticals, and cosmetic goods. These qualities have established VCO in high consumer demand and there is a great need of establishing a reliable method for the identification of its geographical origin. Through this present st ...
DOI:
10.1016/j.crfs.2022.03.003

42. Assessment of watermelon maturity using portable new generation NIR spectrophotometers

Author:
Miguel Vega-Castellote; María-Teresa Sánchez; Irina Torres; María-José de la Haba; Dolores Pérez-Marín
Source:
Scientia horticulturae 2022 v.304 pp. 111328
ISSN:
0304-4238
Subject:
algorithms; decision making; discriminant analysis; fruits; harvest date; near-infrared spectroscopy; spectrophotometers; total soluble solids; vines; watermelons
Abstract:
... The non-destructive evaluation of internal maturity in watermelons, which are large fruits with a thick rind, during their development on the vine can be considered as a challenge for the growing sector. Near infrared spectroscopy (NIRS) was used to assess in situ soluble solid content (SSC), the main parameter to establish full maturity, in 249 intact watermelons, of which, 152 had a striped ligh ...
DOI:
10.1016/j.scienta.2022.111328

43. Assessment oil composition and species discrimination of Brassicas seeds based on hyperspectral imaging and portable near infrared (NIR) spectroscopy tools and chemometrics

Author:
Maria Lucimar da Silva Medeiros; J.P. Cruz-Tirado; Adriano Freitas Lima; José Marcelino de Souza Netto; Ana Paula Badan Ribeiro; Doglas Bassegio; Helena Teixeira Godoy; Douglas Fernandes Barbin
Source:
Journal of food composition and analysis 2022 v.107 pp. 104403
ISSN:
0889-1575
Subject:
Brassica; biofuels; chemometrics; discriminant analysis; erucic acid; fatty acid composition; food composition; food industry; least squares; lipid content; near-infrared spectroscopy; oilseeds; prediction; principal component analysis; seed quality; spectrometers
Abstract:
... Brassica is a genus of oilseed plants mainly used to produce edible oils, modified lipids, industrial oils, and biofuels. Oil and fatty acid content are the main chemical indicators for Brassicas seed quality (e.g. low content of erucic acid indicate seeds appropriate for food industry, while high contents indicate are suitable in the cosmetic, pharmaceutical and fuel industry). The goal of this w ...
DOI:
10.1016/j.jfca.2022.104403

44. Authentication and quality evaluation of not from concentrate and from concentrate orange juice by HS-SPME-GC-MS coupled with chemometrics

Author:
Ruixue Sun; Ranran Xing; Jiukai Zhang; Liyang Wei; Yiqiang Ge; Tingting Deng; Weiwei Zhang; Ying Chen
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.162 pp. 113504
ISSN:
0023-6438
Subject:
adulterated products; butyrates; chemometrics; discriminant analysis; headspace analysis; juice quality; models; octanoic acid; orange juice; quality control
Abstract:
... Substituting of not from concentrate (NFC) orange juice with from concentrate (FC) orange juice is a novel adulteration problem. This study used headspace solid-phase microextraction-gas chromatography-mass spectrometry coupled with chemometrics to discriminate between NFC and FC orange juices. Twenty-five compounds were identified as differential compounds for NFC and FC orange juice discriminati ...
DOI:
10.1016/j.lwt.2022.113504

45. Automatic detection of quality soil spectra in an online vis-NIR soil sensor

Author:
Angela Guerrero; S. Hamed Javadi; Abdul M. Mouazen
Source:
Computers and electronics in agriculture 2022 v.196 pp. 106857
ISSN:
0168-1699
Subject:
agriculture; automatic detection; databases; discriminant analysis; electronics; models; prediction; principal component analysis; support vector machines; Belgium
Abstract:
... The quality of online visible and near infrared (vis-NIR) soil spectra can be deteriorated by interferences of ambient light, and debris e.g., stones, roots or plant residues among others, which considerably reduces the accuracy of the predictions. Filtering of very noisy and non-soil spectra from good-quality soil spectra needs to be performed prior the modelling. Nevertheless, manual filtering o ...
DOI:
10.1016/j.compag.2022.106857

46. Bacterial Community Structure and Potential Microbial Coexistence Mechanism Associated with Three Halophytes Adapting to the Extremely Hypersaline Environment

Author:
Lei Gao; Yin Huang; Yonghong Liu; Osama Abdalla Abdelshafy Mohamed; Xiaorong Fan; Lei Wang; Li Li; Jinbiao Ma
Source:
Microorganisms 2022 v.10 no.6 pp. -
ISSN:
2076-2607
Subject:
Actinobacteria; Bacteroidetes; Firmicutes; Proteobacteria; bacterial communities; biomarkers; community structure; discriminant analysis; drought; endophytes; environmental factors; factor analysis; genes; geochemistry; halophytes; hypersalinity; microbiome; nitrogen fixation; nitrogen metabolism; phylogeny; plant adaptation; rhizosphere bacteria; salt tolerance
Abstract:
... Halophytes play a crucial ecological role in drought and saline–alkali environments. However, there is limited knowledge about the structure of bacterial communities and the potential microbial coexistence mechanism associated with halophytes. This study investigated the diversity and community structure of endophytic and rhizospheric bacteria associated with three halophytes by applying high-thro ...
DOI:
10.3390/microorganisms10061124

47. Bacterial communities in home-made Doushen with and without chili pepper

Author:
Weibing Zhang; Wenjuan Gong; Zhongming Zhang; Qiaoqiao Luo; Yaping Li
Source:
Food research international 2022 v.156 pp. 111321
ISSN:
0963-9969
Subject:
Clostridium; bacterial communities; discriminant analysis; fermentation; flavor; food research; hot peppers; prediction
Abstract:
... Doushen is a traditional Chinese fermented soybean product prepared with sterilizated soybeans under open conditions. However, little is known on the bacterial community and their influence on the flavor of Doushen. In the present study, Doushen samples with and without chili pepper were collected to reveal the bacterial community and assess a correlation between bacterial community and VFCs in th ...
DOI:
10.1016/j.foodres.2022.111321

48. Bimetallic nanozyme mediated urine glucose monitoring through discriminant analysis of colorimetric signal

Author:
Sanjana Naveen Prasad; Samuel R. Anderson; Mugdha V. Joglekar; Anandwardhan A. Hardikar; Vipul Bansal; Rajesh Ramanathan
Source:
Biosensors & bioelectronics 2022 v.212 pp. 114386
ISSN:
0956-5663
Subject:
biosensors; catalytic activity; colorimetry; copper nanoparticles; diabetes; discriminant analysis; glucose; glucose oxidase; gold; humans; kidneys; multivariate analysis; palladium; platinum; silver; urine
Abstract:
... The ability to detect glucose concentrations in human urine offers a non-invasive approach to monitor changes in blood glucose, kidney health and vascular complications associated with diabetes. We show the potential of employing catalytically active nanoparticles directly grown on textiles to produce a dose-dependent colorimetric sensor for glucose. We use a galvanic replacement (GR) reaction for ...
DOI:
10.1016/j.bios.2022.114386

49. Biological relevance of VOCs emanating from red onions infected with Erwinia (Pectobacterium) carotovora under different storage conditions

Author:
Shikha Tiwari; Umang Goswami; Adinath Kate; Bharat Modhera; Manoj Kumar Tripathi; Debabandya Mohapatra
Source:
Postharvest biology and technology 2022 v.184 pp. 111761
ISSN:
0925-5214
Subject:
Erwinia; Pectobacterium carotovorum; alcohols; aldehydes; alkanes; biomarkers; biosensors; biosynthesis; discriminant analysis; heat; horticulture; least squares; microbial activity; principal component analysis; spoilage; storage temperature; storage time; sulfur; volatile organic compounds
Abstract:
... Volatile organic compounds (VOCs) are generated in different commodities through various biosynthetic pathways. They act as biomarkers for different infections and metabolisms and can be instrumental in the development of biosensors for monitoring the health of stored horticultural commodities. Healthy onions and samples infected with Pectobacter Erwinia carotovora were stored at different conditi ...
DOI:
10.1016/j.postharvbio.2021.111761

50. Butyl-fructooligosaccharides modulate gut microbiota in healthy mice and ameliorate ulcerative colitis in a DSS-induced model

Author:
Sini Kang; Hyun Ju You; Ying Ju; Hee Jung Kim; Yun Ju Jeong; Tony V. Johnston; Geun Eog Ji; Seockmo Ku; Myeong Soo Park
Source:
Food & function 2022 v.13 no.4 pp. 1834-1845
ISSN:
2042-650X
Subject:
Bifidobacterium; butyrates; colon; dextran; discriminant analysis; epithelium; fermentation; gene expression; inflammation; interleukin-8; intestinal microorganisms; metagenomics; mice; necrosis; neoplasms; nystose; occludins; phylotype; prebiotics; secretion; sodium sulfate; ulcerative colitis
Abstract:
... Butyl-fructooligosaccharides (B-FOSs) are newly synthesized prebiotics composed of short-chain FOS (GF2, 1-kestose; GF3, nystose; GF4, fructofuranosyl-nystose; GF5, 1-F-(1-b-d-fructofuranosyl)-2-nystose) bound with one or two butyric groups by ester bonds. Previous in vitro studies have shown that B-FOS treatment increases butyrate production and protects the growth of butyrate-producing bacteria ...
DOI:
10.1039/d1fo03337a

51. Can unsupervised learning methods applied to milk recording big data provide new insights into dairy cow health?

Author:
S. Franceschini; C. Grelet; J. Leblois; N. Gengler; H. Soyeurt; GplusE consortium,
Source:
Journal of dairy science 2022 v.105 no.8 pp. 6760-6772
ISSN:
0022-0302
Subject:
Holstein; animal health; biomarkers; blood; blood glucose; dairy cows; dairy industry; data collection; discriminant analysis; disease detection; ethics; glucose; glucose 6-phosphate; health status; lactate dehydrogenase; lameness; milk; milk composition; milk yield; parity (reproduction); probability; somatic cell count; spectroscopy; Belgium
Abstract:
... Among the dairy sector's current concerns, the assessment of global animal health status is a complex challenge. Its multidimensionality means that global monitoring tools are rarely considered. Instead, specific disease detection is often studied separately and, due to financial and ethical issues, uses small-scale data sets focusing on few biomarkers. Several studies have already been conducted ...
DOI:
10.3168/jds.2022-21975

52. Canopy spectral reflectance detects oak wilt at the landscape scale using phylogenetic discrimination

Author:
Gerard Sapes; Cathleen Lapadat; Anna K. Schweiger; Jennifer Juzwik; Rebecca Montgomery; Hamed Gholizadeh; Philip A. Townsend; John A. Gamon; Jeannine Cavender-Bares
Source:
Remote sensing of environment 2022 v.273 pp. 112961
ISSN:
0034-4257
Subject:
Bretziella fagacearum; Quercus macrocarpa; canopy; discriminant analysis; disease detection; environment; forests; fungi; landscapes; least squares; oak wilt; pathogens; photosynthesis; phylogeny; reflectance
Abstract:
... The oak wilt disease caused by the invasive fungal pathogen Bretziella fagacearum is one of the greatest threats to oak-dominated forests across the Eastern United States. Accurate detection and monitoring over large areas are necessary for management activities to effectively mitigate and prevent the spread of oak wilt. Canopy spectral reflectance contains both phylogenetic and physiological info ...
DOI:
10.1016/j.rse.2022.112961

53. Chain-locked precursor ion scanning based HPLC–MS/MS for in-depth molecular analysis of lipase-catalyzed transesterification of structured phospholipids containing ω-3 fatty acyl chains

Author:
Min Zhang; Pingya Wang; Danping Jin; Shikai Jian; Jiahui Wu; Min Huang; Hujun Xie; Qiaoling Zhao; Huicheng Yang; Pei Luo; Hong Yuan; Jing Xue; Qing Shen
Source:
Food chemistry 2023 v.399 pp. 133982
ISSN:
0308-8146
Subject:
catalysts; discriminant analysis; docosahexaenoic acid; eicosapentaenoic acid; food chemistry; phospholipase A1; phospholipids; tandem mass spectrometry; transesterification; water content
Abstract:
... Lipase-catalyzed transesterification of structured phospholipids (sPLs) is a hot topic, but the structural variation of the fatty acyl chains in intact phospholipids at the molecular level remains unclear to date. The present study explored the detailed characteristics of synthesized phospholipids through high-performance liquid chromatography–tandem mass spectrometry (HPLC–MS/MS) in precursor ion ...
DOI:
10.1016/j.foodchem.2022.133982

54. Changes in Bacterial Diversity and Composition in Response to Co-inoculation of Arbuscular Mycorrhizae and Zinc-Solubilizing Bacteria in Turmeric Rhizosphere

Author:
C. Sarathambal; R. Dinesh; V. Srinivasan; T. E. Sheeja; V. Jeeva; Muhammed Manzoor
Source:
Current microbiology 2022 v.79 no.1 pp. 4
ISSN:
0343-8651
Subject:
Acidobacteria; Acinetobacter; Actinobacteria; Bacillus megaterium; Bradyrhizobium; Chloroflexi; Curcuma longa; bacterial communities; biomass; discriminant analysis; oxidoreductases; plant growth; plant height; rhizosphere; soil; soil respiration; solubilization; species diversity; turmeric; vesicular arbuscular mycorrhizae; zinc
Abstract:
... In the present study, the impact of co-inoculation of arbuscular mycorrhizal fungi (AM Rhizophagus sp., NCBI-MN710507) and Zinc solubilizing bacteria (ZSB2- Bacillus megaterium, NCBI-KY687496) on plant growth, soil dehydrogenase activity, soil respiration and the changes in bacterial diversity in rhizosphere of turmeric (Curcuma longa) were examined. Our results showed that higher plant height and ...
DOI:
10.1007/s00284-021-02682-8

55. Changes in eating quality and oxidation deterioration of pork steaks cooked by different methods during refrigerated storage

Author:
Yu Song; Handan Zhang; Feng Huang; Xia Li; Jiqian Liu; Waris Mehmood; Jian Zheng; Chunhui Zhang
Source:
International journal of gastronomy and food science 2022 v.29 pp. 100576
ISSN:
1878-450X
Subject:
cold storage; color; cooked foods; discriminant analysis; gastronomy; oxidation; oxidative stability; pork; refrigeration; sous vide; steam; texture
Abstract:
... The influence of boiling cooking (BC), steam cooking (SC) and sous-vide cooking (SVC) on color, texture, sensory attributes and oxidation deterioration of pork steaks were evaluated during refrigerated storage. The eating quality (color, texture and sensory attributes) and oxidation stability of cooked meat were significantly affected by cooking treatment and refrigeration time (P < 0.05). In comp ...
DOI:
10.1016/j.ijgfs.2022.100576

56. Changes in the Composition of Flavonols and Organic Acids during Ripening for Three cv. Sauvignon Blanc Clones Grown in a Cool-Climate Valley

Author:
Pierina Peirano-Bolelli; Florencia Heller-Fuenzalida; Italo F. Cuneo; Álvaro Peña-Neira; Alejandro Cáceres-Mella
Source:
Agronomy 2022 v.12 no.6 pp. -
ISSN:
2073-4395
Subject:
agronomy; chemical analysis; discriminant analysis; flavonols; grapes; malic acid; tartaric acid; titratable acidity; Chile; Pacific Ocean
Abstract:
... The influence of the geographical location and clone type on the contents of flavonols and organic acids of Sauvignon blanc grapes over the ripening process was investigated. The assay was carried out on three commercial clones of cv. Sauvignon blanc (Clone 242, Clone 107, and Clone 1-Davis) grown in two zones (referred to as low and high zones) in Casablanca Valley, Chile. The low zone is closer ...
DOI:
10.3390/agronomy12061357

57. Characterisation and Identification of Individual Intact Goat Muscle Samples (Capra sp.) Using a Portable Near-Infrared Spectrometer and Chemometrics

Author:
Louwrens C. Hoffman; Prasheek Ingle; Ankita Hemant Khole; Shuxin Zhang; Zhiyin Yang; Michel Beya; Daniel Bureš; Daniel Cozzolino
Source:
Foods 2022 v.11 no.18 pp. -
ISSN:
2304-8158
Subject:
Capra; chemometrics; discriminant analysis; food industry; goats; intramuscular fat; lipid content; longissimus muscle; meat; near-infrared spectroscopy; semimembranosus muscle; spectrometers
Abstract:
... Adulterated, poor-quality, and unsafe foods, including meat, are still major issues for both the food industry and consumers, which have driven efforts to find alternative technologies to detect these challenges. This study evaluated the use of a portable near-infrared (NIR) instrument, combined with chemometrics, to identify and classify individual-intact fresh goat muscle samples. Fresh goat car ...
DOI:
10.3390/foods11182894

58. Characteristic Volatiles and Cultivar Classification in 35 Apple Varieties: A Case Study of Two Harvest Years

Author:
Xinye Wu; Jinfeng Bi; Marie-Laure Fauconnier
Source:
Foods 2022 v.11 no.5 pp. -
ISSN:
2304-8158
Subject:
acetates; apples; case studies; cultivars; discriminant analysis; germplasm; linalool; principal component analysis
Abstract:
... A large number of apple varieties (35) from the same germplasm were investigated over two consecutive harvest years. A total of 39 volatile compounds were identified by HS-SPME-GC-MS, and quantified by external standards. Principal component analysis was applied to study the relationship between varieties and volatiles. To obtain better discrimination, 23 of 35 apple varieties were classified into ...
DOI:
10.3390/foods11050690

59. Characteristics of the microbiota and metabolic profile of high-temperature Daqu with different grades

Author:
Yuandi Zhang; Fang Ding; Yi Shen; Wei Cheng; Yansong Xue; Bei-Zhong Han; Xiaoxue Chen
Source:
World journal of microbiology & biotechnology 2022 v.38 no.8 pp. 137
ISSN:
0959-3993
Subject:
Burkholderia; Caulobacter; Macrococcus; Saccharopolyspora; Scopulibacillus; Staphylococcus; alanine; biomarkers; biosynthesis; biotechnology; discriminant analysis; energy; flavor; fumarates; fungi; metabolites; multivariate analysis; myo-inositol; nuclear magnetic resonance spectroscopy; prediction
Abstract:
... The superior grade Daqu (S_Daqu) and normal grade Daqu (N_Daqu) have obvious differences in flavor, fracture surface, appearance, etc., which can be accurately grouped by well-trained panel based on their sensory properties. However, the differences in microbial community diversity and metabolites between the S_Daqu and N_Daqu were still unclear. The culture-dependent method, the third generation ...
DOI:
10.1007/s11274-022-03303-7

60. Characterization and Viability Prediction of Commercial Probiotic Supplements under Temperature and Concentration Conditioning Factors by NIR Spectroscopy

Author:
Juan Pablo Aguinaga Bósquez; Esma Oǧuz; Aybike Cebeci; Mariem Majadi; Gabriella Kiskó; Zoltan Gillay; Zoltan Kovacs
Source:
Fermentation 2022 v.8 no.2 pp. -
ISSN:
2311-5637
Subject:
ambient temperature; chemometrics; cost effectiveness; dietary supplements; discriminant analysis; fermentation; food quality; heat treatment; lactic acid; least squares; models; near-infrared spectroscopy; prediction; probiotics; traditional foods; viability; yeasts
Abstract:
... The quality of probiotics has been associated with bacteria and yeast strains’ contents and their stability against conditioning factors. Near-infrared spectroscopy (NIRS), as a non-destructive, fast, real-time, and cost-effective analytical technique, can provide some advantages over more traditional food quality control methods in quality evaluation. The aim of our study was to evaluate the appl ...
DOI:
10.3390/fermentation8020066

61. Characterization of Botanical Origin of Italian Honey by Carbohydrate Composition and Volatile Organic Compounds (VOCs)

Author:
Raffaello Tedesco; Elisa Scalabrin; Valeria Malagnini; Lidija Strojnik; Nives Ogrinc; Gabriele Capodaglio
Source:
Foods 2022 v.11 no.16 pp. -
ISSN:
2304-8158
Subject:
Acacia; Castanea; Rhododendron; carbohydrate composition; discriminant analysis; fructose; glucose; honey; honeydew; melissopalynology; pollen; volatile organic compounds; Italy
Abstract:
... Honey is a natural sweetener constituted by numerous macro- and micronutrients. Carbohydrates are the most representative, with glucose and fructose being the most abundant. Minor honey components like volatile organic compounds (VOCs), minerals, vitamins, amino acids are able to confer honey-specific properties and are useful to characterize and differentiate between honey varieties according to ...
DOI:
10.3390/foods11162441

62. Characterization of high value Italian chickpeas (Cicer arietinum L.) by means of ICP-OES multi-elemental analysis coupled with chemometrics

Author:
Francesca Di Donato; Francesco Squeo; Alessandra Biancolillo; Leucio Rossi; Angelo Antonio D'Archivio
Source:
Food control 2022 v.131 pp. 108451
ISSN:
0956-7135
Subject:
Cicer arietinum; analysis of variance; atomic absorption spectrometry; chemometrics; chickpeas; discriminant analysis; food safety; prediction; Italy
Abstract:
... Sixty samples of chickpea (Cicer arietinum L.) harvested in the Italian territories of Cicerale (Campania), Valentano (Lazio) and Navelli (Abruzzo) in 2019 were characterized by determination of the content of ten elements (Ca, K, P, Mg, Mo, Cu, Fe, Mn, Zn and Sr) with Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES). Classification of the samples was performed using both discrim ...
DOI:
10.1016/j.foodcont.2021.108451

63. Characterization of the Key Aroma Volatile Compounds in Nine Different Grape Varieties Wine by Headspace Gas Chromatography–Ion Mobility Spectrometry (HS-GC-IMS), Odor Activity Values (OAV) and Sensory Analysis

Author:
Weiyu Cao; Nan Shu; Jinli Wen; Yiming Yang; Yuning Jin; Wenpeng Lu
Source:
Foods 2022 v.11 no.18 pp. -
ISSN:
2304-8158
Subject:
anthocyanins; color; discriminant analysis; furans; grapes; headspace analysis; octanoic acid; odors; phenols; sensory evaluation; spectroscopy; sugars; volatile compounds; wines
Abstract:
... During this study, the physicochemical properties, color, and volatile aroma compounds of the original wines produced from the grape varieties ‘Hassan’, ‘Zuoshaner’, ‘Beibinghong’, ‘Zuoyouhong’, ‘Beta’, ‘Shuanghong’, ‘Zijingganlu’, ‘Cabernet Sauvignon’, and ‘Syrah’ were determined and sensory evaluation was performed. Results indicated that ‘Hassan’ contained the most solids, ‘Zuoshaner’ produced ...
DOI:
10.3390/foods11182767

64. Characterization of volatile compounds in evening primrose oil after γ‐irradiate

Author:
Feng Guang Pan; Xian Mao Chen; Yong Pang; En Qi Yang; Su Yin Wang; Yan Fei Wang; B. Q. Liu
Source:
Flavour and fragrance journal 2022 v.37 no.3 pp. 181-191
ISSN:
0882-5734
Subject:
cluster analysis; cold; discriminant analysis; flavor; food preservation; gas chromatography-mass spectrometry; irradiation; linolenic acid; octenol; odors; oils; principal component analysis
Abstract:
... Evening primrose oil (EPO) is rich in linolenic acid, which has important physiological activity and attracted more and more attention. As a cold sterilization technology, irradiation is widely used in food preservation. However, the effect of irradiation on the flavour quality of EPO is unclear. The volatile aroma compounds examined by gas chromatography‐mass spectrometry (GC‐MS), combined with t ...
DOI:
10.1002/ffj.3695

65. Chasing Flies: The Use of Wingbeat Frequency as a Communication Cue in Calyptrate Flies (Diptera: Calyptratae)

Author:
Julie Pinto; Paola A. Magni; R. Christopher O’Brien; Ian R. Dadour
Source:
Insects 2022 v.13 no.9 pp. -
ISSN:
2075-4450
Subject:
Calliphora; Lucilia sericata; Musca vetustissima; Sarcophaga crassipalpis; computer software; dead animals; discriminant analysis; flight; insects; males; species identification
Abstract:
... The incidental sound produced by the oscillation of insect wings during flight provides an opportunity for species identification. Calyptrate flies include some of the fastest and most agile flying insects, capable of rapid changes in direction and the fast pursuit of conspecifics. This flight pattern makes the continuous and close recording of their wingbeat frequency difficult and limited to con ...
DOI:
10.3390/insects13090822

66. Chemical Authentication and Speciation of Salvia Botanicals: An Investigation Utilizing GC/Q-ToF and Chemometrics

Author:
Joseph Lee; Mei Wang; Jianping Zhao; Bharathi Avula; Amar G. Chittiboyina; Jing Li; Charles Wu; Ikhlas A. Khan
Source:
Foods 2022 v.11 no.14 pp. -
ISSN:
2304-8158
Subject:
chemometrics; databases; discriminant analysis; least squares; models; prediction; principal component analysis; spectral analysis
Abstract:
... Members of the genus Salvia are used as culinary herbs and are prized for their purported medicinal attributes. Since physiological effects can vary widely between species of Salvia, it is of great importance to accurately identify botanical material to ensure safety for consumers. In the present study, an in-depth chemical investigation is performed utilizing GC/Q-ToF combined with chemometrics. ...
Handle:
10113/7840152
DOI:
10.3390/foods11142132

67. Chemical Traits that Predict Susceptibility of Pinus radiata to Marsupial Bark Stripping

Author:
Judith S. Nantongo; Brad M. Potts; Noel W. Davies; Don Aurik; Stephen Elms; Hugh Fitzgerald; Julianne M. O’Reilly-Wapstra
Source:
Journal of chemical ecology 2022 v.48 no.1 pp. 51-70
ISSN:
0098-0331
Subject:
Metatheria; Pinus radiata; alcohols; bark; chemical ecology; chemistry; conifers; death; discriminant analysis; field experimentation; fructose; genetic variation; glucose; herbivores; nutrition; phenolic compounds; secondary metabolites; sesquiterpenoids; trees; Australia
Abstract:
... Bark stripping by mammals is a major problem in managed conifer forests worldwide. In Australia, bark stripping in the exotic plantations of Pinus radiata is mainly caused by native marsupials and results in reduced survival, growth, and in extreme cases death of trees. Herbivory is influenced by a balance between primary metabolites that are sources of nutrition and secondary metabolites that act ...
DOI:
10.1007/s10886-021-01307-5

68. Chemical and sensory discrimination of coffee: impacts of the planting altitude and fermentation

Author:
Emanuele Catarina da Silva Oliveira; José Maria Rodrigues da Luz; Marina Gomes de Castro; Paulo Roberto Filgueiras; Rogério Carvalho Guarçoni; Eustáquio Vinicius Ribeiro de Castro; Marliane de Cássia Soares da Silva; Lucas Louzada Pereira
Source:
European food research & technology 2022 v.248 no.3 pp. 659-669
ISSN:
1438-2377
Subject:
altitude; caffeine; citrates; discriminant analysis; fermentation; food research; formic acid; malates; microbiome; nuclear magnetic resonance spectroscopy; quinic acid; sensory properties; soil; trigonelline
Abstract:
... Edaphoclimatic conditions, planting altitudes, soil, the microbiome of plants and fruits, genotypes, and postharvest processing are variables that contribute to the chemical and sensory quality of the coffee. Thus, the objective of this study was to evaluate the impacts of planting altitude and fermentation of fruits on the chemical and sensory quality of the coffee using Nuclear Magnetic Resonanc ...
DOI:
10.1007/s00217-021-03912-w

69. Chemical composition analysis of Schisandra chinensis fructus and its three processed products using UHPLC-Q-Orbitrap/MS-based metabolomics approach

Author:
Xiaokang Liu; Yunlong Guo; Guangzhi Cai; Jiyu Gong; Yang Wang; Shuying Liu
Source:
Natural product research 2022 v.36 no.13 pp. 3464-3468
ISSN:
1478-6427
Subject:
Schisandra chinensis; chemical composition; discriminant analysis; high performance liquid chromatography; least squares; mass spectrometry; metabolomics; models; research; ultra-performance liquid chromatography
Abstract:
... An ultra-high performance liquid chromatography coupled with quadrupole Orbitrap mass spectrometry (UHPLC-Q-Orbitrap/MS)-based metabolomics method was applied to investigate the chemome diversity of Schisandra chinensis fructus (SF) and its processed products, including vinegar-processed Schisandra (VS), wine-processed Schisandra (WS), and honey-processed Schisandra (HS). A clear classification am ...
DOI:
10.1080/14786419.2020.1858416

70. Chemistry Combining Elemental Profile, Stable Isotopic Ratios, and Chemometrics for Fine Classification of a Chinese Herb Licorice (Glycyrrhiza uralensis Fisch.) from 37 Producing Area

Author:
Zhongying Lu; Chengying Hai; Simin Yan; Lu Xu; Daowang Lu; Yixin Sou; Hengye Chen; Xiaolong Yang; Haiyan Fu; Jian Yang
Source:
Journal of Analytical Methods in Chemistry (Online) 2022 v.2022 pp. -
ISSN:
2090-8873
Subject:
Glycyrrhiza uralensis; atomic absorption spectrometry; chemometrics; discriminant analysis; herbal medicines; isotope labeling; licorice; spectrometers; stable isotopes; traceability
Abstract:
... A method based on elemental fingerprint, stable isotopic analysis and combined with chemometrics was proposed to trace the geographical origins of Licorice (Glycyrrhiza uralensis Fisch) from 37 producing areas. For elemental fingerprint, the levels of 15 elements, including Ca, Cu, Mg, Pb, Zn, Sr, Mn, Se, Cd, Fe, Na, Al, Cr, Co, and K, were analyzed by inductively coupled plasma atomic emission sp ...
DOI:
10.1155/2022/8906305

71. Chemometric evaluation of the antioxidant properties and phenolic compounds in Italian honeys as markers of floral origin

Author:
Raffaella Preti; Anna Maria Tarola
Source:
European food research & technology 2022 v.248 no.4 pp. 991-1002
ISSN:
1438-2377
Subject:
Acacia; Arbutus unedo; Castanea; Eucalyptus; Hedysarum coronarium; Taraxacum; antioxidant activity; antioxidants; chemometrics; cluster analysis; color; discriminant analysis; food research; honeydew; prediction; principal component analysis; technology
Abstract:
... Italian honeys from different floral sources (acacia, orange, honeydew, chestnut, strawberry tree, sulla, eucalyptus, dandelion, linden, polyfloral) were analysed in terms of colour, total phenolic content, in vitro antioxidant capacity and content of 15 phenolic compounds. Physicochemical parameters were also examined to assess the overall quality of honey. Dark honeys demonstrated to have the hi ...
DOI:
10.1007/s00217-021-03939-z

72. Chicken Gut Microbiota Responses to Dietary Bacillus subtilis Probiotic in the Presence and Absence of Eimeria Infection

Author:
Fareed Uddin Memon; Yunqiao Yang; Geyin Zhang; Imdad Hussain Leghari; Feifei Lv; Yuhan Wang; Farooque Laghari; Farooque Ahmed Khushk; Hongbin Si
Source:
Microorganisms 2022 v.10 no.8 pp. -
ISSN:
2076-2607
Subject:
Bacillus subtilis; Clostridium; Corynebacterium; Eimeria tenella; Enterococcus; Proteobacteria; Weissella; adaptive immunity; butyrates; chickens; coccidiosis; discriminant analysis; growth performance; homeostasis; intestinal microorganisms; intestines; poultry diseases; probiotics; species diversity
Abstract:
... Coccidiosis is a well-known poultry disease that causes the severe destruction of the intestinal tract, resulting in reduced growth performance and immunity, disrupted gut homeostasis and perturbed gut microbiota. Supplementation of probiotics were explored to play a key role in improving growth performance, enhancing innate and adaptive immunity, maintaining gut homeostasis and modulating gut mic ...
DOI:
10.3390/microorganisms10081548

73. Chlorothalonil alters the gut microbiota and reduces the survival of immature honey bees reared in vitro

Author:
Tong Wu; Bo Han; Xing Wang; Yuemin Tong; Feng Liu; Qingyun Diao; Pingli Dai
Source:
Pest management science 2022 v.78 no.5 pp. 1976-1981
ISSN:
1526-498X
Subject:
Apis mellifera; Burkholderiales; Pseudomonadales; acetone; bacterial communities; beehives; chlorothalonil; community structure; diet; digestive system; dimethoate; discriminant analysis; genes; honey; honey bees; intestinal microorganisms; risk; solvents; toxicity
Abstract:
... BACKGROUND: Chlorothalonil is a nonsystemic fungicide, and it is one of the most widely detected pesticides in bee hives. The effect of chlorothalonil on the survival, weight, and gut microbiota of immature Apis mellifera L. reared in vitro was studied. RESULTS: Larvae were fed 1, 2, 4, 8, and 16 μg/mL chlorothalonil and compared with larvae fed the negative control (diet without any additives), p ...
DOI:
10.1002/ps.6816

74. Classical Morphometrics in V. arvensis and V. kitaibeliana (Viola sect. Melanium) Reveals Intraspecific Variation with Implications for Species Delimitation: Inferences from a Case Study in Central Italy

Author:
Anna Scoppola; Daniele Angeloni; Cinzia Franceschini
Source:
Plants 2022 v.11 no.3 pp. -
ISSN:
2223-7747
Subject:
Viola arvensis; case studies; discriminant analysis; flowers; intraspecific variation; leaves; morphometry; pollen; Italy
Abstract:
... The high morphological variability of Viola arvensis may hinder the proper identification of the closely related species with an implication for biodiversity surveys. Variation in floral and vegetative morphology was explored in V. arvensis, compared to V. kitaibeliana, based upon 14 wild Italian populations, to provide new insights into their diagnostic features. Species were characterized using ...
DOI:
10.3390/plants11030379

75. Classification of Prunus Genus by Botanical Origin and Harvest Year Based on Carbohydrates Profile

Author:
Marius Gheorghe Miricioiu; Roxana Elena Ionete; Diana Costinel; Oana Romina Botoran
Source:
Foods 2022 v.11 no.18 pp. -
ISSN:
2304-8158
Subject:
Prunus cerasus; apricots; cherries; discriminant analysis; fruits; heat; multivariate analysis; plums; principal component analysis; sugars
Abstract:
... The ¹H-NMR carbohydrates profiling was used to discriminate fruits from Rosaceae family in terms of botanical origin and harvest year. The classification was possible by application of multivariate data analysis, such as principal component analysis (PCA), linear discriminant analysis (LDA) and Pearson analysis. Prior, a heat map was created based on ¹H-NMR signals which offered an overview of the ...
DOI:
10.3390/foods11182838

76. Classification of Tokaj Wines by Ultraviolet–Visible Spectroscopy

Author:
Jana Sádecká; Michaela Jakubíková
Source:
Food analytical methods 2022 v.15 no.1 pp. 56-66
ISSN:
1936-9751
Subject:
chemometrics; discriminant analysis; prices; principal component analysis; protected designation of origin; quality control; support vector machines; ultraviolet-visible spectroscopy; wines
Abstract:
... The suitability of UV–Vis spectrometry was evaluated for the classification of undiluted and diluted Slovak Tokaj wine samples according to style (essences, Tokaj selection, varietal and other wines), grade (quantity of cibebas), and variety (Furmint, Lipovina, and Muškát žltý) using principal component analysis (PCA), variable selection (VS), linear discriminant analysis (LDA), general discrimina ...
DOI:
10.1007/s12161-021-02097-y

77. Classification of cloud images by using super resolution, semantic segmentation approaches and binary sailfish optimization method with deep learning model

Author:
Mesut Toğaçar; Burhan Ergen
Source:
Computers and electronics in agriculture 2022 v.193 pp. 106724
ISSN:
0168-1699
Subject:
Istiophorus platypterus; agriculture; artificial intelligence; climate; data collection; discriminant analysis; ecological balance; electronics; ice; models; system optimization
Abstract:
... Clouds are structures formed by ice crystals, water grains, or both that come together in the atmosphere for various reasons. Clouds have a direct impact on areas such as climate, ecological balance, and air traffic. It is now inevitable to knead the devices used to detect cloud types with artificial intelligence technologies. In this process, deep learning models have begun to be used in the dete ...
DOI:
10.1016/j.compag.2022.106724

78. Classification of pine wilt disease at different infection stages by diagnostic hyperspectral bands

Author:
Niwen Li; Langning Huo; Xiaoli Zhang
Source:
Ecological indicators 2022 v.142 pp. 109198
ISSN:
1470-160X
Subject:
Cerambycidae; Pinus densiflora; Pinus koraiensis; algorithms; carotenoids; chlorophyll; discriminant analysis; forest diseases; forests; mortality; vascular wilt; water content; China
Abstract:
... Pine wilt disease (PWD) is a very destructive forest disease that causes the mortality of pine. The infected trees usually die within three months, and the disease spreads fast with the long-horned beetle as the medium if the infected trees are not removed from the forest in time. Therefore, detecting the infected trees at different infection stage, especially the early infection, is crucial for p ...
DOI:
10.1016/j.ecolind.2022.109198

79. Classification of pulse flours using near-infrared hyperspectral imaging

Author:
Chitra Sivakumar; Muhammad Mudassir Arif Chaudhry; Jitendra Paliwal
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.154 pp. 112799
ISSN:
0023-6438
Subject:
chickpeas; color; discriminant analysis; flour; food industry; healthy diet; lentils; navy beans; peas; principal component analysis; wavelengths
Abstract:
... With increasing consumer interest in healthy food formulations made from pulse flours, the research gap in characterizing them based on their pulse type and milling technique has come to limelight. To this end, the feasibility of using hyperspectral imaging in the visible near infrared (Vis-NIR) (400–1000 nm) and short wave infrared (SWIR) (1000–2500 nm) regions to classify pulse flours (viz. chic ...
DOI:
10.1016/j.lwt.2021.112799

80. Classification of sheep genetic resources based on morphometric characteristics using classical and machine learning methods

Author:
Dinesh Kumar Yadav; Avnish Kumar Bhatia
Source:
Indian journal of small ruminants 2022 v.28 no.2 pp. 257-260
ISSN:
0973-9718
Subject:
adults; discriminant analysis; morphometry; sheep; support vector machines; India
Abstract:
... One classical method-linear discriminant analysis and two machine learning methods-artificial neural network (ANN) and support vector machine (SVM) were used to classify animals of eight sheep breeds of India (Kolhapuri, Lonand, Marwari, Munjal, Muzaffarnagri, Madgyal, Sangamneri and Solapuri) on the basis of morphometric characters. Atotal of 1558 adult ewes were included in the study. The set ra ...
DOI:
10.5958/0973-9718.2022.00065.4

81. Classification of sugarcane genotypes susceptible and resistant to the initial attack of sugarcane borer Diatraea saccharalis using epicuticular wax composition

Author:
Cleiton Antonio Wartha; Nathália de Aguiar Porto; Adriano Cirino Tomaz; Jussara Valente Roque; Mariana Beatriz Teixeira Diniz; Maria Eliana Lopes Ribeiro de Queiroz; Reinaldo Francisco Teófilo; Márcio Henrique Pereira Barbosa
Source:
Phytochemistry 2022 v.199 pp. 113175
ISSN:
0031-9422
Subject:
Diatraea saccharalis; alcohols; aldehydes; chemical composition; discriminant analysis; epicuticular wax; greenhouse experimentation; plant biochemistry; sugarcane; triterpenoids
Abstract:
... Identifying compounds present in the sugarcane epicuticular wax and using these compounds to classify the genotypes susceptible and resistant to the initial attack of sugarcane borer (Diatraea saccharalis) was the aim of this study. A greenhouse experiment was performed in a factorial scheme with and without borer infestation using genotypes previously characterized as resistant or susceptible in ...
DOI:
10.1016/j.phytochem.2022.113175

82. Classification of various nutrient deficiencies in tomato plants through electrophysiological signal decomposition and sample space reduction

Author:
Kavya Sai; Neetu Sood; Indu Saini
Source:
Plant physiology and biochemistry 2022 v.186 pp. 266-278
ISSN:
0981-9428
Subject:
biochemistry; calcium; discriminant analysis; electrophysiology; manganese; models; nitrogen; nutrient deficiencies; plant growth; tomatoes
Abstract:
... Plants leave testimonies of undergoing physical state by depicting distinct variations in their electrophysiological data. Adequate nutrition of plants signifies their role in the growth and a plentiful harvest. Plant signal data carries enough information to detect and analyse nutrient deficiency. Classification of nutrient deficiencies through signal decomposition and bilevel measurements has no ...
DOI:
10.1016/j.plaphy.2022.07.022

83. Coat color of western long-eared bats (myotis evotis) living in different environments: a test of gloger's rule

Author:
Donald I Solick; Robert MR Barclay
Source:
Northwestern naturalist 2022 v.103 no.2 pp. 183-189
ISSN:
1051-1733
Subject:
Myotis; color; discriminant analysis; humidity; pigmentation; Alberta
Abstract:
... Gloger's rule is an ecogeographical pattern observed in many vertebrates whereby populations in more humid environments have darker pigmentation than populations in more arid environments. The coat color for several species of temperate bats exhibits this pattern, including the Western Long-eared Bat (Myotis evotis) in coastal versus interior populations. We tested Gloger's rule by comparing the c ...
DOI:
10.1898/NWN21-14

84. Combined effects of dietary Laminaria digitata with alginate lyase on plasma metabolites and hepatic lipid, pigment and mineral composition of broilers

Author:
Mónica Mendes Costa; Paula Alexandra Lopes; José Miguel Pestana Assunção; Cristina Maria Riscado Pereira Mateus Alfaia; Diogo Francisco Maurício Coelho; Miguel Pedro Mourato; Rui Manuel Amaro Pinto; Maria Madalena Lordelo; José António Mestre Prates
Source:
BMC veterinary research 2022 v.18 no.1 pp. 153
ISSN:
1746-6148
Subject:
Laminaria digitata; alginate lyase; body weight; calcium; copper; dietary supplements; discriminant analysis; experimental design; feed composition; feedstocks; growth performance; iron; lipid composition; liver; macroalgae; males; metabolites; mineral content; phosphorus; poultry industry; poultry nutrition; sulfur; triacylglycerols; veterinary medicine
Abstract:
... BACKGROUND: The Laminaria digitata is an abundant macroalga and a sustainable feedstock for poultry nutrition. L. digitata is a good source of essential amino acids, carbohydrates and vitamins, including A, D, E, and K, as well as triacylglycerols and minerals, in particular iron and calcium. However, the few studies available in the literature with broilers document the application of this macroa ...
DOI:
10.1186/s12917-022-03250-3

85. Comparative Evaluation of Yield and Fruit Physico-Chemical Characteristics of Five Commercial Cultivars of Pomegranate Grown in Southeastern Italy in Two Consecutive Years

Author:
Annalisa Tarantino; Laura Frabboni; Andrea Mazzeo; Giuseppe Ferrara; Grazia Disciglio
Source:
Horticulturae 2022 v.8 no.6 pp. -
ISSN:
2311-7524
Subject:
acidity; antioxidant activity; citric acid; color; cultivars; discriminant analysis; fruits; juices; orchards; pomegranates; trees; Italy
Abstract:
... This study, conducted over two consecutive seasons (2018–2019), evaluates the yield and fruit physico-chemical traits of five commercial cultivars (‘Mollar’, ‘Dente di Cavallo’, ‘Acco’, ‘Jolly red’ and ‘Wonderful’) grown in the orchard at Foggia (Puglia region, southeastern Italy). The results show significant variations among the investigated cultivars for many measured parameters; seasons also s ...
DOI:
10.3390/horticulturae8060497

86. Comparative study of three fingerprint analytical approaches based on spectroscopic sensors and chemometrics for the detection and quantification of argan oil adulteration

Author:
Aimen El Orche; Omar Elhamdaoui; Amine Cheikh; Brahim Zoukeni; Miloud El Karbane; Mohamed Mbarki; Mustapha Bouatia
Source:
Journal of the science of food and agriculture 2022 v.102 no.1 pp. 95-104
ISSN:
0022-5142
Subject:
Fourier transform infrared spectroscopy; adulterated products; agriculture; chemometrics; comparative study; discriminant analysis; fluorescence; fluorescence emission spectroscopy; models; oils
Abstract:
... BACKGROUND: Argan oil is one of the purest and rarest oils in the world, so that the addition of any further product is strictly prohibited by international regulations. Consequently, it is necessary to establish reliable analytical methods to ensure its authenticity. In this study, three multivariate approaches have been developed and validated using fluorescence, UV–visible, and attenuated total ...
DOI:
10.1002/jsfa.11335

87. Comparing the population structure of the specialist Butler’s Gartersnake (Thamnophis butleri) and the generalist Eastern Gartersnake (Thamnophis sirtalis sirtalis) in Ontario (Canada) and Michigan (USA)

Author:
Megan Snetsinger; Jeffrey R. Row; Megan E. Hazell; Dennis Plain; Stephen C. Lougheed
Source:
Canadian journal of zoology 2022 v.100 no.2 pp. 106-118
ISSN:
1480-3283
Subject:
Bayesian theory; DNA; Thamnophis sirtalis; discriminant analysis; genetic structure; genetic variation; habitat destruction; habitat fragmentation; habitats; landscapes; life history; microsatellite repeats; population structure; sympatry; urbanization; zoology; Michigan; Ontario
Abstract:
... Species differing in life-history attributes vary in their responses to features within a shared landscape. We evaluated genetic structure of sympatric gartersnake species in southwestern Ontario (Canada) and southeastern Michigan (USA), where habitat fragmentation is high due to agriculture and urbanization. We surveyed genetic structure of a habitat specialist, Butler’s Gartersnake (Thamnophis b ...
DOI:
10.1139/cjz-2020-0205

88. Comparison of Juvenile, Drought Tolerant Black Locust (Robinia pseudoacacia L.) Clones with Regard to Plant Physiology and Growth Characteristics in Eastern Hungary: Early Evaluation

Author:
Tamás Ábri; Zsolt Keserű; Attila Borovics; Károly Rédei; József Csajbók
Source:
Forests 2022 v.13 no.2 pp. -
ISSN:
1999-4907
Subject:
Robinia pseudoacacia; autumn; biomass production; carbon dioxide; chlorophyll; discriminant analysis; drought tolerance; juveniles; normalized difference vegetation index; photosynthesis; plantations; spring; stomatal conductance; wood; Hungary
Abstract:
... (1) Background: The aim of our study is to present the results of initial growth and plant physiology studies of newly selected, vegetative propagated black locust clones, with a view to assess their suitability for the establishment of fast growing tree plantations for the production of high quality timber in marginal (semi-arid) sites. (2) Methods: In the spring (May) and autumn (November) of 20 ...
DOI:
10.3390/f13020292

89. Comparison of Physicochemical Characteristics and Sensory Attributes of Four Different Chicken Breeds from the Genuine and Selected Local Market

Author:
Jinap Selamat; Nur A. N. M. Zaidy; Nur S. Zakaria; Nurul H. Juhari; Suganya Murugesu
Source:
Journal of food quality 2022 v.2022 pp. -
ISSN:
1745-4557
Subject:
ash content; broiler chickens; chewiness; cohesion; color; computer software; discriminant analysis; fraud; hardness; laying hens; markets; meat quality; physicochemical properties; protein content; proximate composition; sensory evaluation; texture; villages; Malaysia
Abstract:
... Village chicken is known as a high-quality product perception and sold at high prices. However, the authenticity of village chicken is doubted because colored chicken has been claimed as village chicken to fraud the consumers and to gain high profit. No stringent strategy has been implemented by the local authority on the authenticity of the claimed village chickens. Thus, the study aimed to deter ...
DOI:
10.1155/2022/1419937

90. Comparison of chemometric strategies for potential exposure marker discovery and false-positive reduction in untargeted metabolomics: application to the serum analysis by LC-HRMS after intake of Vaccinium fruit supplements

Author:
Lapo Renai; Claudia Ancillotti; Marynka Ulaszewska; Mar Garcia-Aloy; Fulvio Mattivi; Riccardo Bartoletti; Massimo Del Bubba
Source:
Analytical and bioanalytical chemistry 2022 v.414 no.5 pp. 1841-1855
ISSN:
1618-2642
Subject:
Vaccinium corymbosum; Vaccinium myrtillus; abscisic acid; blood serum; catechol; chemometrics; citric acid; data collection; discriminant analysis; fruits; liquids; mass spectrometry; metabolites; metabolomics; octanoic acid; principal component analysis; risk; sulfates
Abstract:
... Untargeted liquid chromatographic-high-resolution mass spectrometric (LC-HRMS) metabolomics for potential exposure marker (PEM) discovery in nutrikinetic studies generates complex outputs. The correct selection of statistically significant PEMs is a crucial analytical step for understanding nutrition-health interactions. Hence, in this paper, different chemometric selection workflows for PEM disco ...
DOI:
10.1007/s00216-021-03815-5

91. Comparison of four classification statistical methods for characterising virgin olive oil quality during storage up to 18 months

Author:
Hicham Zaroual; Christine Chèné; El Mestafa El Hadrami; Romdhane Karoui
Source:
Food chemistry 2022 v.370 pp. 131009
ISSN:
0308-8146
Subject:
acidity; chlorophyll; discriminant analysis; fluorescence emission spectroscopy; food chemistry; models; olives; peroxide value; prediction; principal component analysis; storage time; support vector machines; virgin olive oil; Morocco
Abstract:
... This study examines the ability of fluorescence spectroscopy for monitoring the quality of 70 Moroccan virgin olive oils belonging to three varieties and originating from three regions of Morocco. By applying principal component analysis and factorial discriminant analysis to the emission spectra acquired after excitation wavelengths set at 270, 290, and 430 nm, a clear differentiation between sam ...
DOI:
10.1016/j.foodchem.2021.131009

92. Comparison of the Novel Probabilistic Self-Optimizing Vectorized Earth Observation Retrieval Classifier with Common Machine Learning Algorithms

Author:
Jan Pawel Musial; Jedrzej Stanislaw Bojanowski
Source:
Remote Sensing 2022 v.14 no.2 pp. -
ISSN:
2072-4292
Subject:
cloud cover; data collection; discriminant analysis; land cover; lidar; normal distribution; probability; radar; satellites
Abstract:
... The Vectorized Earth Observation Retrieval (VEOR) algorithm is a novel algorithm suited to the efficient supervised classification of large Earth Observation (EO) datasets. VEOR addresses shortcomings in well-established machine learning methods with an emphasis on numerical performance. Its characteristics include (1) derivation of classification probability; (2) objective selection of classifica ...
DOI:
10.3390/rs14020378

93. Comparison of three rapid non-destructive techniques coupled with a classifier to increase transparency in the seafood value chain: Bioelectrical impedance analysis (BIA), near-infrared spectroscopy (NIR) and time domain reflectometry (TDR)

Author:
Ángela Melado-Herreros; Sonia Nieto-Ortega; Idoia Olabarrieta; Graciela Ramilo-Fernández; Carmen G. Sotelo; Bárbara Teixeira; Amaya Velasco; Rogério Mendes
Source:
Journal of food engineering 2022 v.322 pp. 110979
ISSN:
0260-8774
Subject:
bioelectrical impedance; discriminant analysis; freeze-thaw cycles; least squares; models; near-infrared spectroscopy; seafoods; supply chain; time domain reflectometry; tuna
Abstract:
... Bioelectrical impedance analysis (BIA), near-infrared (NIR) spectroscopy and time domain reflectometry (TDR) were compared as non-destructive techniques, coupled with a classifier based on partial least square discriminant analysis (PLS-DA), to assess added water detection in a seafood model: tuna. Three classification models were developed for each technology in unfrozen, thawed and in a combinat ...
DOI:
10.1016/j.jfoodeng.2022.110979

94. Comprehensive analysis of quality characteristics in main commercial coffee varieties and wild Arabica in Kenya

Author:
Collins Ogutu; Sylvia Cherono; Charmaine Ntini; Lu Wang; Yuepeng Han
Source:
Food chemistry: X 2022 v.14 pp. 100294
ISSN:
2590-1575
Subject:
Coffea arabica; antioxidant activity; caffeine; chlorogenic acid; discriminant analysis; flavor; food chemistry; odors; pH; pyrazines; sucrose; thiols; trigonelline; Kenya
Abstract:
... Coffee flavor is a complex commercial trait and its generation mechanisms remain largely unclear. Here, we investigated non-volatile and volatile compounds in the AA grade coffee beans of cultivated and wild Coffea arabica accessions in Kenya. An increased accumulation of trigonelline and sucrose along with a decreased accumulation of caffeine and 5-caffeoylquinic acid or chlorogenic acid (CGA) re ...
DOI:
10.1016/j.fochx.2022.100294

95. Construction of a colorimetric sensor array based on the coupling reaction to identify phenols

Author:
Haotian Zhong; Yuting Xue; Bin Liu; Zhengbo Chen; Kai Li; Xia Zuo
Source:
Analytical methods 2022 v.14 no.9 pp. 892-899
ISSN:
1759-9679
Subject:
2,4,6-trichlorophenol; 3-chlorophenol; 4-chlorophenol; color; colorimetry; discriminant analysis; humans; hydrogen peroxide; p-nitrophenol; phenol
Abstract:
... Phenols are harmful to the human body and the environment. Since there are a variety of phenols in actual samples, this requires a sensor which possesses the ability to simultaneously distinguish them. Herein, we report a colorimetric sensor array, which uses two nanozymes (Fe–N–C nanozymes and Cu–N–C nanozymes) as electronic tongues for fingerprint identification of six phenols (2,4,6-trichloroph ...
DOI:
10.1039/d1ay02076e

96. Contrasting Epidemiology and Population Genetics of COVID-19 Infections Defined by Multilocus Genotypes in SARS-CoV-2 Genomes Sampled Globally

Author:
Felicia Hui Min Chan; Ricardo Ataide; Jack S. Richards; Charles A. Narh
Source:
Viruses 2022 v.14 no.7 pp. -
ISSN:
1999-4915
Subject:
COVID-19 infection; Severe acute respiratory syndrome coronavirus 2; amino acids; codons; demographic statistics; discriminant analysis; evolution; gene frequency; genomics; genotyping; monitoring; mutants; nucleocapsid; risk; virus transmission; Africa; Asia; North America; South America
Abstract:
... Since its emergence in 2019, SARS-CoV-2 has spread and evolved globally, with newly emerged variants of concern (VOCs) accounting for more than 500 million COVID-19 cases and 6 million deaths. Continuous surveillance utilizing simple genetic tools is needed to measure the viral epidemiological diversity, risk of infection, and distribution among different demographics in different geographical reg ...
DOI:
10.3390/v14071434

97. Cooperative combination of LIBS-based elemental analysis and near-infrared molecular fingerprinting for enhanced discrimination of geographical origin of soybean paste

Author:
Seongsoo Jeong; Daun Seol; Hyang Kim; Yonghoon Lee; Sang-Ho Nam; Jae-Min An; Hoeil Chung
Source:
Food chemistry 2023 v.399 pp. 133956
ISSN:
0308-8146
Subject:
atomic absorption spectrometry; discriminant analysis; fermentation; food chemistry; principal component analysis; provenance; soybean paste; soybeans
Abstract:
... Laser-induced breakdown spectroscopy (LIBS) and near-infrared (NIR) spectroscopy were combined to enhance discrimination of soybean paste samples according to geographical origin. Since element and organic component compositions of soybean pastes depend on soybean cultivation areas and fermentation conditions, utilization of two complementary spectroscopic signatures would be synergetic for the di ...
DOI:
10.1016/j.foodchem.2022.133956

98. Copper nanoclusters-based fluorescent sensor array to identify metal ions and dissolved organic matter

Author:
Jinming Xu; Huangmei Zhou; Yixue Zhang; Yu Zhao; Hao Yuan; Xiaoxiao He; Ying Wu; Sanjun Zhang
Source:
Journal of hazardous materials 2022 v.428 pp. 128158
ISSN:
0304-3894
Subject:
discriminant analysis; fluorescence; glutathione; histidine; lignans; polyethyleneimine; principal component analysis; rapid methods; riparian areas; seawater; tap water; water pollution; water quality
Abstract:
... In recent years, the prevention and control of water pollution has received extensive attention. There is a need to develop simple and effective strategies for the rapid detection of metal ions and dissolved organic matter (DOM) in order to improve water quality. To this end, the first copper nanoclusters (CuNCs)-based fluorescent sensor array was done to identify 12 metal ions (Pb²⁺, Fe³⁺, Cu²⁺, ...
DOI:
10.1016/j.jhazmat.2021.128158

99. Country of origin label monitoring of musky and common octopuses (Eledone spp. and Octopus vulgaris) by means of a portable near-infrared spectroscopic device

Author:
Maria Olga Varrà; Sergio Ghidini; Maria Pia Fabrile; Adriana Ianieri; Emanuela Zanardi
Source:
Food control 2022 v.138 pp. 109052
ISSN:
0956-7135
Subject:
Eledone; Octopus vulgaris; automation; cost effectiveness; country of origin labeling; discriminant analysis; fisheries; food safety; least squares; near-infrared spectroscopy; provenance; spectrometers
Abstract:
... Modern analytical techniques using miniaturized and portable near infrared (NIR) spectroscopy instruments are particularly suited for assessing the authenticity of fishery products since meeting the requirements of rapidity, eco-friendliness, cost-effectiveness, and easiness of application. The objective of the present study was to verify the suitability of use of a portable and ultra-compact NIR ...
DOI:
10.1016/j.foodcont.2022.109052

100. Cryopreservation and germinative behavior of Passiflora spp. seeds

Author:
Jailton de Jesus Silva; Tatiana Góes Junghans; Carlos Alberto da Silva Ledo; Fabiane de Lima Silva; Everton Hilo de Souza; Kuang Hongyu; Fernanda Vidigal Duarte Souza
Source:
3 Biotech 2022 v.12 no.10 pp. 276
ISSN:
2190-572X
Subject:
Passiflora; cryopreservation; discriminant analysis; drought tolerance; multivariate analysis; passion fruits; uncertainty; water content
Abstract:
... Cryopreservation is an interesting strategy for the long-term conservation of the seeds of the majority of cultivated plants as well as many of the corresponding wild parents. The objective of this study was to evaluate the response of the seeds of different passion fruit species to cryopreservation, as well as to apply multivariate tools to better understand the germinative behavior after thawing ...
DOI:
10.1007/s13205-022-03329-6