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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