Journal
FOOD CHEMISTRY
Volume 334, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2020.127553
Keywords
Rice; Rice fraud; VOC metabolome; HS-GC-MS; Geographical origin; Metabolomics
Funding
- Agilent Foundation
- Mars Global Food Safety Center
- National Natural Science Foundation of China [31801454]
Ask authors/readers for more resources
The study utilized HS-GC-MS technology to establish a model that can accurately identify rice samples from China, India, and Vietnam, with high discrimination and accuracy.
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available