Analysis of Volatile Compounds by GCMS reveals the Geographical Origin of Cultivated Rice

Author:

Hu Shengying1,Ren Hongbo2,Song Yong3,Liu Feng2,Meng Li1

Affiliation:

1. Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University

2. Quality and Safety Institute of Agricultural Products, Heilongjiang Academy of Agricultural Sciences

3. Key Laboratory of Molecular Biology of Heilongjiang Province, College of life science, Heilongjiang University

Abstract

Abstract Due to the similarity in the grain and difference in the market value among many rice varieties, deliberate mislabeling and adulteration has become a serious problem. To check the authenticity, we aimed to discriminate rice varieties based on their volatile organic compounds (VOCs) composition by headspace solid phase microextraction (HS-SPME) coupled with gas chromatography mass spectrometry (GC-MS). The VOC profiles of nine varieties from Wuchang were compared to 11 rice varieties from other regions. Multivariate analysis and unsupervised clustering showed an unambiguous distinction between Wuchang rice and non-Wuchang rice. Partial least squares discriminant analysis (PLS-DA) demonstrated a goodness of fit of 0.90 and a goodness of prediction of 0.85. The discriminating ability of volatile compounds is also supported by Random forest analysis. Our data revealed eight biomarkers including 2-acetyl-1-pyrroline (2-AP) that can be used for variation identification. Taken together, the current method can readily distinguish Wuchang rice from other varieties which it holds great potential in checking the authenticity of rice.

Publisher

Research Square Platform LLC

Reference40 articles.

1. Volatile profiles of aromatic and non-aromatic rice cultivars using SPME/GC-MS;Bryant RJ;Food Chem,2011

2. Discrimination of Rice Products by Geographical Origins and Cultivars by Two-Dimensional NMR Spectroscopy;Chae YK;Bulletin of the Korean Chemical Society,2016

3. Quality evaluation, fatty acid analysis and untargeted profiling of volatiles in Cambodian rice;Concepcion JCT;Food Chem,2018

4. Random forests for classification in ecology;Cutler DR;Ecology,2007

5. Daygon, V. D., Prakash, S., Calingacion, M., Riedel, A., Ovenden, B., Snell, P., Mitchell, J., & Fitzgerald, M. (2016). Understanding the Jasmine phenotype of rice through metabolite profiling and sensory evaluation. Metabolomics, 12 (4).

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