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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. 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

4. 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

5. 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

6. Development of a multi-omics extraction method for ecotoxicology: investigation of the reproductive cycle of Gammarus fossarum

Author:
Julien Faugere; Thomas Alexandre Brunet; Yohann Clément; Anabelle Espeyte; Olivier Geffard; Jérôme Lemoine; Arnaud Chaumot; Davide Degli-Esposti; Sophie Ayciriex; Arnaud Salvador
Source:
Talanta 2023 v.253 pp. 123806
ISSN:
0039-9140
Subject:
Gammarus fossarum; discriminant analysis; ecotoxicology; factor analysis; females; lipidomics; liquid chromatography; metabolites; methanol; multiomics; proteomics; spectroscopy
Abstract:
... Omics study exemplified by proteomics, lipidomics or metabolomics, provides the opportunity to get insight of the molecular modifications occurring in living organisms in response to contaminants or in different physiological conditions. However, individual omics discloses only a single layer of information leading to a partial image of the biological complexity. Multiplication of samples preparat ...
DOI:
10.1016/j.talanta.2022.123806

7. Effects of post-mortem aging process on characteristic water-soluble taste-active precursors in yellow-feathered broilers

Author:
Na Xu; Xianming Zeng; Lingyun Li; Xinyue Zhang; Peng Wang; Minyi Han; Xinglian Xu
Source:
Food science and human wellness 2023 v.12 no.1 pp. 242-253
ISSN:
2213-4530
Subject:
adenosine triphosphate; breasts; cluster analysis; discriminant analysis; electronic tongue; food science; freshness; humans; molecular weight; nucleosides; pH; partridges; peptides; taste; umami; water solubility
Abstract:
... Chilled chicken has become the mainstream of chicken consumption. In order to explore the effect of post-mortem aging on water-soluble flavor precursors of chicken, pH, adenosine triphosphate (ATP) degradation, flavor nucleosides, free amino acids and water-soluble low molecular weight peptides were determined using Qingyuan partridge yellow-feathered broilers as material during 0–4 °C post-mortem ...
DOI:
10.1016/j.fshw.2022.07.004

8. Energy-dispersive X-ray fluorescence combined with chemometric tools applied to tomato and sweet pepper classification

Author:
Diego Galvan; Jelmir Craveiro de Andrade; Luciane Effting; Carini Aparecida Lelis; Fábio Luiz Melquiades; Evandro Bona; Carlos Adam Conte-Junior
Source:
Food control 2023 v.143 pp. 109326
ISSN:
0956-7135
Subject:
chemometrics; chromatography; discriminant analysis; energy-dispersive X-ray analysis; food safety; prediction; provenance; sweet peppers; tomatoes
Abstract:
... Consumers' interest in organic foods is increasing, and robust analytical tools are necessary to authenticate them. This study investigated the potential of Energy-Dispersive X-Ray Fluorescence (EDXRF) under two measurement conditions combined with chemometric tools to classify tomato and sweet pepper samples according to the agronomic production mode and geographical area cultivation. Initially, ...
DOI:
10.1016/j.foodcont.2022.109326

9. Evaluation of visible spectroscopy and low-field nuclear magnetic resonance techniques for screening the presence of defects in broiler breast fillets

Author:
Bin Pang; Brian Bowker; Chang-Hu Xue; Yao-Guang Chang; Jian Zhang; Lin Gao; Hong Zhuang
Source:
Food control 2023 v.144 pp. 109386
ISSN:
0956-7135
Subject:
breast meat; breasts; discriminant analysis; food safety; muscles; nuclear magnetic resonance spectroscopy; pale soft exudative meat; pectoralis muscle; spectrophotometers; support vector machines; ultraviolet-visible spectroscopy; wooden breast
Abstract:
... The potential of using simple visible spectroscopy (VIS) and low-field nuclear magnetic resonance (LF-NMR) was evaluated for differentiating three muscle conditions, normal (NORM), pale, soft and exudative (PSE), and woody breast (WB), in broiler pectoralis major. A total of 162 of pectoralis major, 54 for each condition, were collected from a commercial plant. Meat VIS spectra and transverse rela ...
DOI:
10.1016/j.foodcont.2022.109386

10. 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

11. 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

12. 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

13. 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

14. Machine learning for classifying and predicting grape maturity indices using absorbance and fluorescence spectra

Author:
Claire E.J. Armstrong; Adam M. Gilmore; Paul K. Boss; Vinay Pagay; David W. Jeffery
Source:
Food chemistry 2023 v.403 pp. 134321
ISSN:
0308-8146
Subject:
absorbance; color; discriminant analysis; fluorescence; food chemistry; grapes; malic acid; models; pH; prediction; rapid methods; spectral analysis; spectroscopy; tartaric acid; viticulture
Abstract:
... Absorbance-transmission and fluorescence excitation-emission matrix (A-TEEM) spectroscopy was investigated as a rapid method for predicting maturity indices using Cabernet Sauvignon grapes produced under four viticulture treatments during two growing seasons. Machine learning models were developed with fused spectral data to predict 3-isobutyl-2-methoxypyrazine (IBMP), pH, total tannins (Tannin), ...
DOI:
10.1016/j.foodchem.2022.134321

15. Non-destructive evaluation of the edible rate for pomelo using X-ray imaging method

Author:
Yuchen Zhang; Yangyang Lin; Hao Tian; Shijie Tian; Huirong Xu
Source:
Food control 2023 v.144 pp. 109358
ISSN:
0956-7135
Subject:
X-radiation; consumer satisfaction; cultivars; discriminant analysis; food safety; hybrids; models; prediction; prices; pummelos; quantitative analysis; regression analysis
Abstract:
... Flesh content of pomelos sometimes does not match the price due to thick peel, which reduces their commercial value and consumer satisfaction. This study demonstrated the potential use of X-ray imaging method for non-destructive evaluation of the edible rate and the flesh content of ‘Hongrou’ pomelos and ‘Guanxi’ pomelos. An adaptive threshold segmentation method was used to segment the X-ray imag ...
DOI:
10.1016/j.foodcont.2022.109358

16. 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

17. 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

18. Testing two NIRs instruments to predict chicken breast meat quality and exploiting machine learning approaches to discriminate among genotypes and presence of myopathies

Author:
Lorenzo Serva; Giorgio Marchesini; Marco Cullere; Rebecca Ricci; Antonella Dalle Zotte
Source:
Food control 2023 v.144 pp. 109391
ISSN:
0956-7135
Subject:
alanine; aspartic acid; breast meat; breasts; chemometrics; chicken meat; chickens; crude protein; discriminant analysis; food safety; freeze drying; genotype; least squares; meat composition; meat quality; methionine
Abstract:
... To discriminate among three poultry meat types (hybrid broiler, hybrid broiler affected by breast myopathies, and slow-growing native breed), and to predict the proximate and the amino acid (AA) composition of breast meat, two NIRs (Near-Infrared) instruments operating between 850 and 2500 nm coupled with chemometric algorithms and Machine Learning (ML) approaches, were tested. The Partial Least S ...
DOI:
10.1016/j.foodcont.2022.109391

19. 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

20. 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

21. A t-test ranking-based discriminant analysis for classification of free-range and barn-raised broiler chickens by 1H NMR spectroscopy

Author:
Enya Silva de Oliveira; Luciano Morais Lião; Andressa Kuhnen Silva; Cristiano Sales Prado; Marcelo Martins Sena; Gerlon de Almeida Ribeiro Oliveira
Source:
Food chemistry 2023 v.399 pp. 134004
ISSN:
0308-8146
Subject:
anserine; carnosine; discriminant analysis; flavor; food chemistry; markets; mathematical models; nuclear magnetic resonance spectroscopy; t-test; taste
Abstract:
... Intensive systems of raising chickens in barns prevail worldwide for financial reasons. In contrast, free-range chickens are raised in better welfare conditions, and preferred by consumers due to their distinctive taste/flavor, having higher market prices. Thus, free-range chickens have been the target of frauds. In this study, ¹H NMR metabolic profiles of breasts of free-range and barn-raised bro ...
DOI:
10.1016/j.foodchem.2022.134004

22. 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

23. 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

24. 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

25. 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

26. 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

27. Adding an essential oil blend to the diet of juvenile Nile tilapia improves growth and alters the gut microbiota

Author:
Micheli Zaminhan-Hassemer; Gustavo Botton Zagolin; Caio Augusto Perazza; David Aciole Barbosa; Fabiano B. Menegidio; Luiz Lehmann Coutinho; Polyana Tizioto; Alexandre Wagner Silva Hilsdorf
Source:
Aquaculture 2022 v.560 pp. 738581
ISSN:
0044-8486
Subject:
Acinetobacter; Bacteroidetes; Enterococcus; Fusobacteria; Lactobacillus zeae; Oreochromis niloticus; Pseudomonas; Staphylococcus; Synechococcus; Verrucomicrobia; aquaculture; bacterial communities; carvacrol; diet; discriminant analysis; essential oils; experimental design; feed conversion; fish; growth performance; intestinal microorganisms; juveniles; models; species diversity; thymol; weight gain
Abstract:
... In aquaculture, essential oils are considered promising supplements that can improve productive performance and modulate the fish's microbiota. Here we investigate how a blend of essential oils (carvacrol + thymol + cinnamaldehyde acid) affects the productive performance and the intestinal microbiota of juvenile Nile tilapia (Oreochromis niloticus, Thai strain). All fish were randomly distributed ...
DOI:
10.1016/j.aquaculture.2022.738581

28. 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

29. 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

30. 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

31. 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

32. 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

33. Alterations of oral microbiota in Chinese children with viral encephalitis and/or viral meningitis

Author:
Yijie Li; Jing Liu; Yimin Zhu; Chunying Peng; Yao Dong; Lili Liu; Yining He; Guoping Lu; Yingjie Zheng
Source:
journal of microbiology 2022 v.60 no.4 pp. 429-437
ISSN:
1976-3794
Subject:
Bradyrhizobium; Enterococcus; Massilia; Pedobacter; Psychrobacter; biosynthesis; confidence interval; discriminant analysis; genes; meningitis; microorganisms; models; species diversity; steroid hormones; viral encephalitis
Abstract:
... The role of oral microbiota in viral encephalitis and/or viral meningitis (VEVM) remains unclear. In this hospital-based, frequency-matched study, children with clinically diagnosed VEVM (n = 68) and those with other diseases (controls, n = 68) were recruited. Their oral swab samples were collected and the oral microbiota was profiled using 16S rRNA gene sequencing. The oral microbiota of children ...
DOI:
10.1007/s12275-022-1560-y

34. Amazonian species evaluation using leaf-based spectroscopy data and dimensionality reduction approaches

Author:
João Lucas Della-Silva; Carlos Antonio da Silva Junior; Mendelson Lima; Ricardo da Silva Ribeiro; Luciano Shozo Shiratsuchi; Fernando Saragosa Rossi; Larissa Pereira Ribeiro Teodoro; Paulo Eduardo Teodoro
Source:
Remote sensing applications 2022 v.26 pp. 100742
ISSN:
2352-9385
Subject:
absorption; biochemistry; botanical composition; chlorophyll; discriminant analysis; electromagnetic radiation; leaves; phytogeography; principal component analysis; reflectance; spectroradiometers; spectroscopy; trees; vegetation
Abstract:
... Sampling trees in natural environment can be used in studies ranging from floristic composition and phytogeography to management and growth modelling, and accurate inventories are based on highly labor-intensive methods. Relying on hyperspectral approach, this study aimed to differentiate spectral libraries of four Amazon tree species. We first prepared the spectroradiometer data on representative ...
DOI:
10.1016/j.rsase.2022.100742

35. 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

36. 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

37. Analysis of flavonoids in citrus fruits by capillary zone electrophoresis coupled with quadrupole time-of-flight mass spectrometry using chemometrics

Author:
Xiao-Ting Zhen; Si-Chen Zhu; Min-Zhen Shi; Ya-Ling Yu; Tian-Ci Yan; Zi-Xuan Yue; Yu-Xin Gu; Hui Zheng; Jun Cao
Source:
Journal of food composition and analysis 2022 v.106 pp. 104275
ISSN:
0889-1575
Subject:
Citrus; capillary zone electrophoresis; chemical species; chemometrics; cluster analysis; discriminant analysis; food composition; hesperidin; kaempferol; liquids; mass spectrometry; naringenin; naringin; pH; rutin; temperature
Abstract:
... A rapid, efficient and simple method using capillary electrophoresis-electrospray ionization-quadrupole time-of-flight mass spectrometry (CE-ESI-Q-TOF-MS) was developed for the determination of the eight flavonoids (schaftoside, rutin, hesperidin, naringenin, naringin, violanthin, hesperitin and kaempferol) in 23 citrus samples. CE and ESI-Q-TOF conditions (e.g. nebulizer gas pressure, drying gas ...
DOI:
10.1016/j.jfca.2021.104275

38. 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

39. 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

40. 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

41. 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

42. Antagonistic storage potential of Tagetes minuta, Eupatorium fortunei and Ocimum basilicum oils with volatile secondary metabolites against Tribolium castaneum and Lasioderma serricorne

Author:
Wen-Juan Zhang; Qian-Ying Liu; Dao-Wen Li; Zi-Meng Zhang; Chun-Xue You
Source:
Industrial crops and products 2022 v.187 pp. 115502
ISSN:
0926-6690
Subject:
Eupatorium; Lasioderma serricorne; Ocimum basilicum; Oriental traditional medicine; Tagetes minuta; Tribolium castaneum; air; discriminant analysis; fumigants; gas chromatography-mass spectrometry; hydrodistillation; oils; precocenes; principal component analysis; secondary metabolites
Abstract:
... Antagonistic storage potential of Tagetes minuta Linnaeus, Eupatorium fortunei Turcz. and Ocimum basilicum L. volatile oils hydrodistillated with main secondary metabolites against two storage pests, Tribolium castaneum and Lasioderma serricorne adults were evaluated. More than 95% volatile secondary metabolites obtained at different hydrodistillation time were identified by gas chromatography-mas ...
DOI:
10.1016/j.indcrop.2022.115502

43. Application of Chlorophyll a Fluorescence in Analysis and Detection of Bacterial Wilt in Tomato Plants

Author:
Xin Wang; Wei Yang; Yu Yang; Min Huang; Ya Guo; Qibing Zhu
Source:
Journal of the ASABE v.65 no.2 pp. 347-356
ISSN:
2769-3287
Subject:
bacterial wilt; chlorophyll; discriminant analysis; disease control; fluorescence; models; support vector machines; tomatoes
Abstract:
... HighlightsEight JIP-test parameters most relevant to tomato bacterial wilt were identified.A novel model was developed for detection of tomato bacterial wilt.The overall detection accuracy of the developed model was 88.42%.Abstract. Bacterial wilt seriously threatens global tomato yield. Timely and accurately identification of plants infected with bacterial wilt is crucial to the implementation of ...
DOI:
10.13031/ja.14696

44. The Application of FTIR Spectroscopy and Chemometrics for the Authentication Analysis of Horse Milk

Author:
Mitsalina Fildzah Arifah; Irnawati; Ruslin; Khoirun Nisa; Anjar Windarsih; Abdul Rohman
Source:
International Journal of Food Sciences 2022 v.2022 pp. -
ISSN:
2314-5765
Subject:
Fourier transform infrared spectroscopy; adulterated products; chemometrics; cows; discriminant analysis; horses; least squares; mare milk; milk; models; reflectance
Abstract:
... Expensive milk such as horse’s milk (HM) may be the target of adulteration by other milk such as goat’s milk (GM) and cow’s milk (CM). FTIR spectroscopy in combination with chemometrics of linear discriminant analysis (LDA) and multivariate calibrations of partial least square regression (PLSR) and principal component regression (PCR) was used for authentication of HM from GM and CM. Milk was dire ...
DOI:
10.1155/2022/7643959

45. 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

46. Application of Vis-NIR and SWIR spectroscopy for the segregation of bison muscles based on their color stability

Author:
Md Mahmudul Hasan; Muhammad Mudassir Arif Chaudhry; Chyngyz Erkinbaev; Jitendra Paliwal; Surendranath P. Suman; Argenis Rodas-Gonzalez
Source:
Meat science 2022 v.188 pp. 108774
ISSN:
0309-1740
Subject:
bison; calibration; color; discoloration; discriminant analysis; meat science; muscles; prediction; principal component analysis; spectroscopy
Abstract:
... The study objective was to investigate the potential for using visible near-infrared (Vis-NIR) and short wave infrared (SWIR) spectroscopy to segregate bison portions based on muscle types and storage periods. In the Vis-NIR range, the principal component analysis showed clear segregation of the muscles based on storage at retail display d 4 whereas the discrimination based on muscle type was bett ...
DOI:
10.1016/j.meatsci.2022.108774

47. 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

48. Application of benchtop total-reflection X-ray fluorescence spectrometry and chemometrics in classification of origin and type of Croatian wines

Author:
D. Vitali Čepo; M. Karoglan; L. Borgese; L.E. Depero; E. Marguí; J. Jablan
Source:
Food chemistry: X 2022 v.13 pp. 100209
ISSN:
2590-1575
Subject:
X-ray fluorescence spectroscopy; chemometrics; cluster analysis; discriminant analysis; elemental composition; food chemistry; prediction; Croatia
Abstract:
... The contents of selected metals (K, Ca, Fe, Cu, Zn, Mn, Sr, Rb, Ba, Pb, Ni, Cr and V) in 70 wine samples from Continental and Adriatic part of Croatia and different types of wine (red and white) were determined by TXRF. The aim of this study was to compare the elemental composition of wines from two different regions and to determine the discriminant ability of each variable and to indicate which ...
DOI:
10.1016/j.fochx.2022.100209

49. 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

50. Application of hyperspectral imaging in the detection of aflatoxin B1 on corn seed

Author:
Jun Zhang; Binbo Xu; Zhiying Wang; Fang Cheng
Source:
Journal of food measurement & characterization 2022 v.16 no.1 pp. 448-460
ISSN:
2193-4126
Subject:
aflatoxin B1; chemometrics; corn; discriminant analysis; hyperspectral imagery; image analysis; measurement; models; principal component analysis; support vector machines; wavelengths
Abstract:
... Contamination of aflatoxins has important effect on the quality of corn seed. In this study, hyperspectral imaging technology was used to detect aflatoxin B1 (AFB1) with different concentrations (100, 50, 30, 20 and 10 μg/kg) on corn seeds. The near-infrared hyperspectral data, which were collected from the corn seed samples, were processed by image segmentation method. Then, the spectra in the ra ...
DOI:
10.1007/s11694-021-01171-7

51. 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

52. Application of lactic acid bacteria for improving the quality of reduced-salt dry fermented sausage: Texture, color, and flavor profiles

Author:
Yingying Hu; Yongjie Li; Xiang-ao Li; Hongwei Zhang; Qian Chen; Baohua Kong
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.154 pp. 112723
ISSN:
0023-6438
Subject:
Lactobacillus curvatus; Lactobacillus plantarum; Lactobacillus sakei; Weissella hellenica; color; discriminant analysis; electronic nose; flavor; hardness; lactic acid; odors; salt content; sensory evaluation; texture; volatile compounds; China
Abstract:
... The traditional dry sausage is highly appreciated in China because of its unique quality characteristics, but it contains high salt content. Hence, this study aimed to evaluate the effects of lactic acid bacteria (LAB) comprising Lactobacillus sakei (LS), Lactobacillus curvatus (LC), Lactobacillus plantarum (LP), and Weissella hellenica (WH) on the quality attributes of the reduced-salt dry fermen ...
DOI:
10.1016/j.lwt.2021.112723

53. Application of reflectance spectroscopy to identify maize genotypes and aflatoxin levels in single kernels

Author:
M. Aoun; C. Siegel; G.L. Windham; W.P. Williams; R.J. Nelson
Source:
World mycotoxin journal 2022 v.15 no.4 pp. 327-342
ISSN:
1875-0796
Subject:
aflatoxins; corn; discriminant analysis; fluorescence; genotype; least squares; models; monitoring; reflectance; reflectance spectroscopy; spectral analysis; spectrometers
Abstract:
... Spectroscopy is a rapid, non-destructive, and low-cost analytical technique that has the potential to complement more resource-intensive analytical methods. We explored the use of spectral methods to differentiate maize genotypes and assess aflatoxin (AF) contamination in maize kernels. We compared the performance of two instruments: a research-grade ultraviolet-visible-near infrared (UV-Vis-NIR) ...
DOI:
10.3920/WMJ2021.2750

54. 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

55. 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

56. Applying multispectral UAV imagery to delineate in and near stream cover along a small urban stream

Author:
Riley Sessanna; Lidiia Iavorivska; Christa Kelleher
Source:
River research and applications 2022 v.38 no.4 pp. 717-726
ISSN:
1535-1459
Subject:
data collection; discriminant analysis; land cover; models; research; rivers; streams; uncertainty; water
Abstract:
... Traditional remote sensing methods are rarely applied to headwater streams because of a mismatch in spatial scale. With improved technology, remote sensing using unoccupied aerial vehicles enables imagery to be collected at high spatial and temporal resolution. However, these innovations have been used less frequently to detect changes within the water column. In addition, it is unclear whether cl ...
DOI:
10.1002/rra.3931

57. Are modern pollen assemblages from soils and mosses the same? A comparison of natural pollen traps from subtropical China

Author:
Yiman Fang; M. Jane Bunting; Chunmei Ma; Xiaoping Yang
Source:
Catena 2022 v.209 pp. 105790
ISSN:
0341-8162
Subject:
bamboos; botanical composition; catenas; discriminant analysis; forests; mosses and liverworts; pollen; principal component analysis; soil; uncertainty; China
Abstract:
... This study investigated the pollen spectra from 46 pairs of soil and moss samples (pairs collected within a 1 m² squared area). The samples were collected from six common subtropical vegetation communities in the Meiling Mountains, southeast China, with the vegetation proportions recorded at the collection point. Principal Component Analysis (PCA) was used to investigate the separation of the pair ...
DOI:
10.1016/j.catena.2021.105790

58. Aroma classification and flavor characterization of Streptococcus thermophilus fermented milk by HS-GC-IMS and HS-SPME-GC-TOF/MS

Author:
Ao Liu; Hongwei Zhang; Tongjie Liu; Pimin Gong; Yawei Wang; Hongze Wang; Xiaoying Tian; Qiqi Liu; Qingyu Cui; Xiang Xie; Lanwei Zhang; Huaxi Yi
Source:
Food bioscience 2022 v.49 pp. 101832
ISSN:
2212-4292
Subject:
Streptococcus thermophilus; discriminant analysis; fermentation; fermented milk; flavor; hexanoic acid; mass spectrometry; octanoic acid; odors; principal component analysis
Abstract:
... 46 Streptococcus thermophilus strains, isolated from commercial starters cultures, were studied. The aroma of the fermented milk by these strains was evaluated by quantitative descriptive analysis (QDA). According to its major sensory attribute, the fermented milks were classified into milky-type, creamy-type, cheesy-type, fermented-type and miscellaneous-type groups. One representative sample of ...
DOI:
10.1016/j.fbio.2022.101832

59. 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

60. Aroma quality evaluation of Dianhong black tea infusions by the combination of rapid gas phase electronic nose and multivariate statistical analysis

Author:
Jiayu Chen; Yanqin Yang; Yuliang Deng; Zhengquan Liu; Jialing Xie; Shuai Shen; Haibo Yuan; Yongwen Jiang
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.153 pp. 112496
ISSN:
0023-6438
Subject:
acetates; black tea; discriminant analysis; electronic nose; furans; limonene; linalool; methyl eugenol; models; odors; prediction; sensory evaluation
Abstract:
... Aroma is one of the most important quality attributes of black tea infusions. In this study, the aroma quality of 44 Dianhong black tea (DBT) infusions were investigated by rapid gas phase electronic nose (GC-E-Nose) combined with multivariate statistical analysis for the first time. Among 61 volatile compounds identified, the most abundant ones were aldehydes. Both partial least squares discrimin ...
DOI:
10.1016/j.lwt.2021.112496

61. Artificial intelligence for spectral classification to identify the basal stem rot disease in oil palm using dielectric spectroscopy measurements

Author:
Alfadhl Yahya Khaled; Samsuzana Abd Aziz; Siti Khairunniza Bejo; Nazmi Mat Nawi; Idris Abu Seman
Source:
Tropical plant pathology 2022 v.47 no.1 pp. 140-151
ISSN:
1983-2052
Subject:
Elaeis guineensis; algorithms; artificial intelligence; dielectric spectroscopy; discriminant analysis; models; oils; plant pathology; spectral analysis; stem rot; tropical plants; Indonesia; Malaysia
Abstract:
... Basal stem rot (BSR) is one of the diseases that threaten the oil palm plantations in Southeast Asia, particularly in Malaysia and Indonesia. As the oil palm plantations continue to grow, there is a need for time-effective, non-destructive, and more precise techniques for detecting BSR. Dielectric spectroscopy has been proven to be an effective method for noninvasive classification of BSR in oil p ...
DOI:
10.1007/s40858-021-00445-1

62. Assessing chemometric models developed using Raman spectroscopy and fatty acid data for Northern and Southern Australian beef production systems

Author:
Bridgette G. Logan; David L. Hopkins; Leigh M. Schmidtke; Stephanie M. Fowler
Source:
Meat science 2022 v.187 pp. 108753
ISSN:
0309-1740
Subject:
Raman spectroscopy; beef carcasses; beef production; chemometrics; discriminant analysis; fatty acid composition; fatty acids; grasses; least squares; models; rapid methods; subcutaneous fat
Abstract:
... A total of 960 beef carcases from northern and southern Australian production regions were assessed by examining the subcutaneous fat. Carcases from four different production systems within each region were assessed, by Raman spectroscopy and the fatty acid composition determined to develop models that best classified the various production systems. As a result, 12 Partial Least Square Discriminan ...
DOI:
10.1016/j.meatsci.2022.108753

63. Assessing direct analysis in real‐time mass spectrometry for the identification and serotyping of Legionella pneumophila

Author:
Alessandra Tata; Filippo Marzoli; Andrea Massaro; Eleonora Passabì; Marco Bragolusi; Alessandro Negro; Ilaria Cristaudo; Roberto Piro; Simone Belluco
Source:
Journal of applied microbiology 2022 v.132 no.2 pp. 1479-1488
ISSN:
1364-5072
Subject:
Legionella pneumophila; discriminant analysis; mass spectrometry; models; risk assessment; serotypes
Abstract:
... AIMS: The efficacy of ambient mass spectrometry to identify and serotype Legionella pneumophila was assessed. To this aim, isolated waterborne colonies were submitted to a rapid extraction method and analysed by direct analysis in real‐time mass spectrometry (DART‐HRMS). METHODS AND RESULTS: The DART‐HRMS profiles, coupled with partial least squares discriminant analysis (PLS‐DA), were first evalu ...
DOI:
10.1111/jam.15301

64. 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

65. 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

66. 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

67. 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

68. 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

69. 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

70. Assessment of Fermentative Quality of Ensiled High-Moisture Maize Grains by a Multivariate Modelling Approach

Author:
Severino Segato; Giorgio Marchesini; Lorenzo Serva; Barbara Contiero; Luisa Magrin; Igino Andrighetto
Source:
Agronomy 2022 v.12 no.2 pp. -
ISSN:
2073-4395
Subject:
agronomy; ammonia; butyrates; corn; data collection; discriminant analysis; ethanol; lactic acid; propionic acid
Abstract:
... The study aimed to define a grain-adapted quality score (GQS) to assess the fermentative pattern of ensiled high-moisture maize grain (EMG) based on organic acids, ammonia, and ethanol data of a lab-scale dataset. The GQS was validated by comparison with both the Flieg-Zimmer’s quality score (FQS) and a standardized quality score (SQS) by a received operating analysis. Compared with FQS and SQS, t ...
DOI:
10.3390/agronomy12020429

71. Assessment of Pumpkin Seed Oil Adulteration Supported by Multivariate Analysis: Comparison of GC-MS, Colourimetry and NIR Spectroscopy Data

Author:
Sandra Balbino; Dragutin Vincek; Iva Trtanj; Dunja Egređija; Jasenka Gajdoš-Kljusurić; Klara Kraljić; Marko Obranović; Dubravka Škevin
Source:
Foods 2022 v.11 no.6 pp. -
ISSN:
2304-8158
Subject:
discriminant analysis; market value; multivariate analysis; near-infrared spectroscopy; principal component analysis; pumpkin oil; pumpkins; sunflower oil
Abstract:
... Because of its high market value, pumpkin seed oil is occasionally adulterated by cheaper refined oils, usually sunflower oil. The standard method for detecting its authenticity is based on expensive and laborious determination of the sterol composition. Therefore, the objective of this study was to determine the sterol content and authenticity of retail oils labelled as pumpkin seed oil and also ...
DOI:
10.3390/foods11060835

72. 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

73. Assessment of kernel presence in winter wheat ears at spikelet scale using near-infrared hyperspectral imaging

Author:
Damien Vincke; Benoît Mercatoris; Damien Eylenbosch; Vincent Baeten; Philippe Vermeulen
Source:
Journal of cereal science 2022 v.106 pp. 103497
ISSN:
0733-5210
Subject:
Triticum aestivum; chemometrics; discriminant analysis; field experimentation; models; spikelets; winter wheat; Belgium
Abstract:
... The scope of the article is to propose an innovative method based on Near Infrared Hyperspectral Imaging (NIR-HSI) to rapidly and non-destructively evaluate the presence or absence of kernels in winter wheat ears (Triticum aestivum L.). This preliminary study has allowed the evaluation of the potential of the method using winter wheat ears collected in a field trial in Belgium. NIR-HSI combined wi ...
DOI:
10.1016/j.jcs.2022.103497

74. Assessment of mechanical damage to flaxseeds using radiographic imaging and tomography

Author:
Mohammad Nadimi; Georgia Loewen; Jitendra Paliwal
Source:
Smart agricultural technology 2022 v.2 pp. 100057
ISSN:
2772-3755
Subject:
X-radiation; computed tomography; discriminant analysis; flax; linseed; mechanical damage; models; radiography; regression analysis; support vector machines; transportation; water content
Abstract:
... The emergence of flax as a nutritional superfood has brought to the forefront the challenges its producers face in the crop's post-harvest quality preservation. Mechanical damage during harvesting, handling, and transportation can severely impair flaxseed quality causing economic losses to producers and processors. Therefore, this study explored the effect of moisture content and impact stress on ...
DOI:
10.1016/j.atech.2022.100057

75. 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

76. 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

77. Assisted selection of biomarkers by linear discriminant analysis effect size (lefse) in microbiome data

Author:
Chang Fang; He Shishi; Dang Chenyuan
Source:
Journal of visualized experiments 2022 no.183 pp. e61715
ISSN:
1940-087X
Subject:
biomarkers; discriminant analysis; genomics; microbiome; quality control
Abstract:
... There is growing attention toward closed biological genomes in the environment and in health. To explore and reveal the intergroup differences among different samples or environments, it is crucial to discover biomarkers with statistical differences among groups. The application of Linear discriminant analysis Effect Size (LEfSe) can help find good biomarkers. Based on the original genome data, qu ...
DOI:
10.3791/61715

78. 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

79. Authentication of extra virgin Argan oil by selected-ion flow-tube mass-spectrometry fingerprinting and chemometrics

Author:
Mourad Kharbach; Huiwen Yu; Rabie Kamal; Ilias Marmouzi; Katim Alaoui; Joeri Vercammen; Abdelaziz Bouklouze; Yvan Vander Heyden
Source:
Food chemistry 2022 v.383 pp. 132565
ISSN:
0308-8146
Subject:
adulterated products; chemometrics; discriminant analysis; food chemistry; mass spectrometry; olive oil; sunflower oil; support vector machines; therapeutics
Abstract:
... Recognized for its nutritional and therapeutic use, extra-virgin Argan Oil (EVAO) is frequently adulterated. Selected-Ion Flow-Tube Mass Spectrometry (SIFT-MS) spectra were applied to quantify adulterants (i.e., Argan oil of lower quality (LQAO), olive oil (OO), and sunflower oil (SO)) in EVAO. Four data sets, i.e., using H₃O⁺, NO⁺, O₂⁺ reagent ions, and the combined data were considered. Soft ind ...
DOI:
10.1016/j.foodchem.2022.132565

80. Authentication of plant-based protein powders and classification of adulterants as whey, soy protein, and wheat using FT-NIR in tandem with OC-PLS and PLS-DA models

Author:
Marina De Géa Neves; Ronei Jesus Poppi; Márcia Cristina Breitkreitz
Source:
Food control 2022 v.132 pp. 108489
ISSN:
0956-7135
Subject:
adulterants; adulterated products; chemometrics; discriminant analysis; food safety; gluten; lactose; models; near-infrared spectroscopy; rapid methods; soy protein; wheat; whey
Abstract:
... This study aimed at developing a non-invasive and rapid method to determine the authenticity of plant-based protein powders (free of soy, lactose, and gluten), and classify possible adulterations in the powders using near-infrared spectroscopy (NIR) and chemometric tools. Three potential powder adulterants were investigated: soy protein, whey (lactose source), and wheat (gluten source). The goal w ...
DOI:
10.1016/j.foodcont.2021.108489

81. Authenticity in Olive Oils from an Empeltre Clonal Selection in Aragon (Spain): How Environmental, Agronomic, and Genetic Factors Affect Sterol Composition

Author:
Raquel Rey-Giménez; Ana Cristina Sánchez-Gimeno
Source:
Foods 2022 v.11 no.17 pp. -
ISSN:
2304-8158
Subject:
campesterol; compliance; crop year; discriminant analysis; fruits; olives; Spain
Abstract:
... Sterol composition is used as a “fingerprint” to demonstrate the authenticity of olive oils. Our study’s objective was to exhaustively characterize the sterol composition of Empeltre olive oils from clonal selection during the ripening period in 2017, 2018, and 2019. We likewise assessed the influence of crop year, fruit ripening, and clonal selection on the oils’ regulatory compliance in terms of ...
DOI:
10.3390/foods11172587

82. Automatic and non-targeted analysis of the volatile profile of natural and alkalized cocoa powders using SBSE-GC-MS and chemometrics

Author:
Maribel Alexandra Quelal-Vásconez; Riccardo Macchioni; Greta Livi; Édgar Pérez-Esteve; María Jesús Lerma-García; Pau Talens; José Manuel Barat; Mikael Agerlin Petersen; Rasmus Bro
Source:
Food chemistry 2022 v.389 pp. 133074
ISSN:
0308-8146
Subject:
acetophenones; alkalinization; chemometrics; discriminant analysis; factor analysis; food chemistry; furfural; gas chromatography-mass spectrometry; principal component analysis; quality control; toluene; volatile compounds
Abstract:
... A total of 56 key volatile compounds present in natural and alkalized cocoa powders have been rapidly evaluated using a non-target approach using stir bar sorptive extraction gas chromatography mass spectrometry (SBSE-GC–MS) coupled to Parallel Factor Analysis 2 (PARAFAC2) automated in PARADISe. Principal component analysis (PCA) explained 80% of the variability of the concentration, in four PCs, ...
DOI:
10.1016/j.foodchem.2022.133074

83. 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

84. 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

85. Bacterial Vaginosis Monitoring with Carbon Nanotube Field-Effect Transistors

Author:
Zhengru Liu; Long Bian; Carl J. Yeoman; G. Dennis Clifton; Joanna E. Ellington; Rayne D. Ellington-Lawrence; Joanna-Lynn C. Borgogna; Alexander Star
Source:
Analytical chemistry 2022 v.94 no.9 pp. 3849-3857
ISSN:
1520-6882
Subject:
analytical chemistry; biogenic amines; carbon nanotubes; diagnostic techniques; discriminant analysis; electrodes; gold; models; pH; point-of-care systems; principal component analysis; support vector machines
Abstract:
... The ability to rapidly and reliably screen for bacterial vaginosis (BV) during pregnancy is of great significance for maternal health and pregnancy outcomes. In this proof-of-concept study, we demonstrated the potential of carbon nanotube field-effect transistors (NTFET) in the rapid diagnostics of BV with the sensing of BV-related factors such as pH and biogenic amines. The fabricated sensors sho ...
DOI:
10.1021/acs.analchem.1c04755

86. 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

87. Bacterial diversity in the intestinal mucosa of heart failure rats treated with Sini Decoction

Author:
Zhenyu Zhao; Jiahao Liu; Yanzhi Hu; Xining Zhang; Liqin Cao; Zhenhua Dong; Lin Li; Zhixi Hu
Source:
BMC complementary medicine and therapies 2022 v.22 no.1 pp. 93
ISSN:
2662-7671
Subject:
Oriental traditional medicine; alternative medicine; blood; colon; discriminant analysis; doxorubicin; echocardiography; genes; heart failure; intestinal microorganisms; intestinal mucosa; species diversity
Abstract:
... BACKGROUND: Sini Decoction (SND), a classic Chinese medicine prescription, has been proved to have a good effect on heart failure (HF), whereas its underlying mechanism is still unclear. In order to explore the therapeutic mechanism of SND, we combined with 16S rRNA gene sequencing to analyze the composition of gut microflora in rats with HF. MATERIAL AND METHODS: Twenty Sprague–Dawley (SD) rats w ...
DOI:
10.1186/s12906-022-03575-4

88. Bacterial dynamics for gaseous emission and humification during bio-augmented composting of kitchen waste with lime addition for acidity regulation

Author:
Chuanren Qi; Rongrong Yin; Jingwen Cheng; Zhicheng Xu; Jie Chen; Xingzu Gao; Guoxue Li; Long Nghiem; Wenhai Luo
Source:
Science of the total environment 2022 v.848 pp. 157653
ISSN:
0048-9697
Subject:
Pusillimonas; Sphingobacterium; Symbiobacterium; acidity; biomarkers; denitrification; discriminant analysis; environment; feedstocks; fermentation; gas emissions; humification; humus; inoculum; kitchen waste
Abstract:
... This study investigated the impacts of lime addition and further microbial inoculum on gaseous emission and humification during kitchen waste composting. High-throughput sequencing was integrated with Linear Discriminant Analysis Effect Size (LEfSe) and Functional Annotation of Prokaryotic Taxa (FAPROTAX) to decipher bacterial dynamics in response to different additives. Results showed that lime a ...
DOI:
10.1016/j.scitotenv.2022.157653

89. Bacterial identification and adhesive strength evaluation based on a mannose biosensor with dual-mode detection

Author:
Feiyun Cui; Xiaoqun Shen; Bo Cao; Haijie Ji; Jianlei Liu; Xiwei Zhuang; Chijia Zeng; Bin Qu; Shunbo Li; Yi Xu; Qin Zhou
Source:
Biosensors & bioelectronics 2022 v.203 pp. 114044
ISSN:
0956-5663
Subject:
Escherichia coli; Raman spectroscopy; biosensors; dielectric spectroscopy; discriminant analysis; fimbriae; mannose
Abstract:
... A biosensor integrated with mannose nano-surface was developed for the identification and adhesive strength evaluation of bacteria. Different bacteria were studied on the designed surface by both electrochemical impedance spectroscopy (EIS) and surface enhanced Raman spectroscopy (SERS). S. typhimurium and E. coli JM109 (type 1 pili) were found to be captured by the mannose nano-surface. SERS spec ...
DOI:
10.1016/j.bios.2022.114044

90. Benchmarking Machine Learning Approaches to Evaluate the Cultivar Differentiation of Plum (Prunus domestica L.) Kernels

Author:
Ewa Ropelewska; Xiang Cai; Zhan Zhang; Kadir Sabanci; Muhammet Fatih Aslan
Source:
Agriculture (Basel) 2022 v.12 no.2 pp. -
ISSN:
2077-0472
Subject:
Prunus domestica; agriculture; color; cultivars; discriminant analysis; fruits; image analysis; plums; texture
Abstract:
... Plum fruit and kernels offer bioactive material for industrial production. The promising procedure for distinguishing plum kernel cultivars used in this study comprised two stages: image analysis to compute the texture parameters of plum kernels belonging to three cultivars ‘Emper’, ‘Kalipso’, and ‘Polinka’, and discriminant analysis using machine learning algorithms to classify plum kernel cultiv ...
DOI:
10.3390/agriculture12020285

91. 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

92. Bioacoustic Detection of Wolves: Identifying Subspecies and Individuals by Howls

Author:
Hanne Lyngholm Larsen; Cino Pertoldi; Niels Madsen; Ettore Randi; Astrid Vik Stronen; Holly Root-Gutteridge; Sussie Pagh
Source:
Animals 2022 v.12 no.5 pp. -
ISSN:
2076-2615
Subject:
Canis lupus; DNA; bioacoustics; cameras; cost effectiveness; discriminant analysis; sample size; wolves; Arctic region
Abstract:
... Wolves (Canis lupus) are generally monitored by visual observations, camera traps, and DNA traces. In this study, we evaluated acoustic monitoring of wolf howls as a method for monitoring wolves, which may permit detection of wolves across longer distances than that permitted by camera traps. We analyzed acoustic data of wolves’ howls collected from both wild and captive ones. The analysis focused ...
DOI:
10.3390/ani12050631

93. Biochar and compost amendments alter the structure of the soil fungal network in a karst mountainous area

Author:
Taotao Yan; Jianhui Xue; Zhidong Zhou; Yongbo Wu
Source:
Land degradation & development 2022 v.33 no.5 pp. 685-697
ISSN:
1085-3278
Subject:
biochar; community structure; composted manure; discriminant analysis; ecosystems; fungal communities; karsts; land degradation; mineral fertilizers; mountains; nutrient content; soil carbon; soil fungi; soil nutrients; soil restoration; wood; China
Abstract:
... The karst ecosystem is prone to degradation and this accounts for a large proportion of land degradation in southwestern China. In order to improve the nutrient status and microbial community structure of karst soil, the amendment method of combining biochar, compost, and chemical fertilizer l was explored. With CK as the control, M as manure compost, B as wood biochar, and F as chemical fertilize ...
DOI:
10.1002/ldr.4148

94. 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

95. Body Composition-Specific Asthma Phenotypes: Clinical Implications

Author:
Xin Zhang; Ke Deng; Yulai Yuan; Lei Liu; Shuwen Zhang; Changyong Wang; Gang Wang; Hongping Zhang; Lei Wang; Gaiping Cheng; Lisa G. Wood
Source:
Nutrients 2022 v.14 no.12 pp. -
ISSN:
2072-6643
Subject:
adults; algorithms; asthma; body mass index; cluster analysis; discriminant analysis; malnutrition; nutritional status; regression analysis; risk reduction; skeletal muscle; visceral fat
Abstract:
... Background: Previous studies have indicated the limitations of body mass index for defining disease phenotypes. The description of asthma phenotypes based on body composition (BC) has not been largely reported. Objective: To identify and characterize phenotypes based on BC parameters in patients with asthma. Methods: A study with two prospective observational cohorts analyzing adult patients with ...
DOI:
10.3390/nu14122525

96. 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

97. 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

98. 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

99. A Carbon Nanotube Sensor Array for the Label-Free Discrimination of Live and Dead Cells with Machine Learning

Author:
Zhengru Liu; Galina V. Shurin; Long Bian; David L. White; Michael R. Shurin; Alexander Star
Source:
Analytical chemistry 2022 v.94 no.8 pp. 3565-3573
ISSN:
1520-6882
Subject:
analytical chemistry; carbon nanotubes; discriminant analysis; mammals; models; prediction
Abstract:
... Developing robust cell recognition strategies is important in biochemical research, but the lack of well-defined target molecules creates a bottleneck in some applications. In this paper, a carbon nanotube sensor array was constructed for the label-free discrimination of live and dead mammalian cells. Three types of carbon nanotube field-effect transistors were fabricated, and different features w ...
DOI:
10.1021/acs.analchem.1c04661

100. 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