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Food Chem


Title:"Metabolomic fingerprinting of volatile organic compounds for the geographical discrimination of rice samples from China, Vietnam and India"
Author(s):Ch R; Chevallier O; McCarron P; McGrath TF; Wu D; Nguyen Doan Duy L; Kapil AP; McBride M; Elliott CT;
Address:"Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, United Kingdom, BT9 5DL; ASSET Lab, Queen's University Belfast, United Kingdom, BT9 5DL. Electronic address: shekarchemistry@gmail.com. Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, United Kingdom, BT9 5DL; ASSET Lab, Queen's University Belfast, United Kingdom, BT9 5DL. Yangtze Delta Region Institute of Tsinghua University, Zhejiang, China. Ho Chi Minh City University of Technology - VNU-HCM (HCMUT), Vietnam. Green Saffron Spices Ltd, Ireland. Agilent Technologies, Santa Clara, CA, USA"
Journal Title:Food Chem
Year:2021
Volume:20200713
Issue:
Page Number:127553 -
DOI: 10.1016/j.foodchem.2020.127553
ISSN/ISBN:1873-7072 (Electronic) 0308-8146 (Linking)
Abstract:"Rice is one of the most important cereals for human nutrition and is a basic staple food for half of the global population. The assessment of rice geographical origins in terms of its authenticity is of great interest to protect consumers from misleading information and fraud. In the present study, a head space gas chromatography mass spectrometry (HS-GC-MS) strategy for characterising volatile organic compounds (VOCs) profiles to distinguish rice samples from China, India and Vietnam is described. Partial Least Square Discriminant Analysis (PLS-DA) model exhibited a good discrimination (R(2) = 0.98182, Q(2) = 0.9722, and Accuracy = 1.0) for rice samples from China, India and Vietnam. Moreover, Data-Driven Soft Independent Modelling of Class Analogy (DD-SIMCA) and K-nearest neighbors shown good specificity 100% and accuracy 100% in identifying the origin of samples. The present study established VOC fingerprinting as a highly efficient approach to identify the geographical origin of rice"
Keywords:China Discriminant Analysis Gas Chromatography-Mass Spectrometry India Least-Squares Analysis Oryza/*chemistry/metabolism Solid Phase Microextraction Vietnam Volatile Organic Compounds/*analysis/chemistry/isolation & purification Geographical origin Hs-gc;
Notes:"MedlineCh, Ratnasekhar Chevallier, Olivier McCarron, Philip McGrath, Terence F Wu, Di Nguyen Doan Duy, Le Kapil, Arun P McBride, Mary Elliott, Christopher T eng England 2020/07/21 Food Chem. 2021 Jan 1; 334:127553. doi: 10.1016/j.foodchem.2020.127553. Epub 2020 Jul 13"

 
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