ArticleFoods (Basel, Switzerland)2022
Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China.
Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Geographical Discrimination of Xinhui Citri Reticulatae Pericarpium by DART-QTOF-MS.Foods (Basel, Switzerland) · 2026Article
- Intelligent Discrimination of Grain Aging Using Volatile Organic Compound Fingerprints and Machine Learning: A Comprehensive Review.Foods (Basel, Switzerland) · 2026Review
- Discrimination of different varieties of rice in Wuchang area based onFood chemistry: X · 2025Article
- Improvement in Taste Quality of Rice Porridge Using Konjac Glucomannan.Foods (Basel, Switzerland) · 2024Article
- Geographical Origin Differentiation of Rice by LC-MS-Based Non-Targeted Metabolomics.Foods (Basel, Switzerland) · 2022Article
- HS-SPME/GC-MS Reveals the Season Effects on Volatile Compounds of Green Tea in High-Latitude Region.Foods (Basel, Switzerland) · 2022Article
- Chromatographic-Based Platforms as New Avenues for Scientific Progress and Sustainability.Molecules (Basel, Switzerland) · 2022Review
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Authors and funding
8 authors at 1 institution in 1 country.
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Abstract
Rice's geographic origin and variety play a vital role in commercial rice trade and consumption. However, a method for rapidly discriminating the geographical origins of rice from a different region is still lacking. Therefore, the current study developed a volatile organic compound (VOC) based geographical discrimination method using headspace gas chromatography-mass spectrometry (HS-GC-MS) to discriminate rice samples from Heilongjiang, Jilin, and Liaoning provinces. The rice VOCs in Heilongjiang, Liaoning, and Jilin were analyzed by agglomerative hierarchical clustering (AHC), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA). The results show that the optimum parameters for headspace solid phase microextraction (HS-SPME) involved the extraction of 3.0 g of rice at 80 °C within 40 min. A total of 35 VOCs were identified from 30 rice varieties from Northeast China. The PLS-DA model exhibited good discrimination (R
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