ArticleJournal of food and drug analysis2018
Non-destructive profiling of volatile organic compounds using HS-SPME/GC-MS and its application for the geographical discrimination of white rice.
Article in Journal of food and drug analysis, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Integrated Liquid Chromatography-Tandem Mass Spectrometry and Headspace Solid-Phase Microextraction With Gas Chromatography-Mass Spectrometry-based Profiling Reveals Developmental Metabolic Dynamics of Ligusticum striatum DC.Journal of separation science · 2026Article
- The Preferred Odor Characteristics of Cooked Medium-Milled Fragrant Simiao Rice.Foods (Basel, Switzerland) · 2026Article
- Discrimination of different varieties of rice in Wuchang area based onFood chemistry: X · 2025Article
- Analysis of volatile organic compounds in ten types of tribute Rice based on headspace-gas chromatography-ion mobility spectrometry technology.Food chemistry: X · 2025Article
- Volatile Substances, Quality and Non-Targeted Metabolomics Analysis of Commercially Available Selenium-Enriched Rice.Molecules (Basel, Switzerland) · 2024Article
- Discussion on the Differences in Aroma Components in Different Fragrant Rice Varieties during Storage.Life (Basel, Switzerland) · 2023Article
- Analysis of volatile compounds by GCMS reveals their rice cultivars.Scientific reports · 2023Article
- Metabolomics integrated with machine learning to discriminate the geographic origin of Rougui Wuyi rock tea.NPJ science of food · 2023Article
- Geographical Origin Differentiation of Rice by LC-MS-Based Non-Targeted Metabolomics.Foods (Basel, Switzerland) · 2022Article
- Fingerprinting of Volatile Organic Compounds for the Geographical Discrimination of Rice Samples from Northeast China.Foods (Basel, Switzerland) · 2022Article
- DNA-Based Tools to Certify Authenticity of Rice Varieties-An Overview.Foods (Basel, Switzerland) · 2022Review
- Headspace Solid-Phase Microextraction Followed by Gas Chromatography-Mass Spectrometry as a Powerful Analytical Tool for the Discrimination of Truffle Species According to Their Volatiles.Frontiers in nutrition · 2022Article
- Profiling of 2-Acetyl-1-Pyrroline and Other Volatile Compounds in Raw and Cooked Rice of Traditional and Improved Varieties of India.Foods (Basel, Switzerland) · 2021Article
- Identification of Key Volatiles Differentiating Aromatic Rice Cultivars Using an Untargeted Metabolomics Approach.Metabolites · 2021Article
- Use of Chemometrics for Correlating Carobs Nutritional Compositional Values with Geographic Origin.Metabolites · 2020Article
- Key-Marker Volatile Compounds in Aromatic Rice (Molecules (Basel, Switzerland) · 2019Article
- Tools in the Investigation of Volatile Semiochemicals on Insects: From Sampling to Statistical Analysis.Insects · 2019Review
- Blotting paper as a disposable tool for sampling chemical residues from skin surface.Journal of food and drug analysis · 2019Article
- A novel micro-extraction strategy for extraction of bisphosphonates from biological fluids using zirconia nanoparticles coupled with spectrofluorimetry and high performance liquid chromatography.Journal of food and drug analysis · 2018Article
- Elemental profile and oxygen isotope ratio (δJournal of food and drug analysis · 2018Article
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Authors and funding
6 authors.
Funding
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Abstract
The authenticity determination of white rice is crucial to prevent deceptive origin labeling and dishonest trading. However, a non-destructive and comprehensive method for rapidly discriminating the geographical origins of white rice between countries is still lacking. In the current study, we developed a volatile organic compound based geographical discrimination method using headspace solid-phase microextraction coupled to gas chromatography-mass spectrometry (HS-SPME/GC-MS) to discriminate rice samples from Korea and China. A partial least squares discriminant analysis (PLS-DA) model exhibited a good classification of white rice between Korea and China (accuracy = 0.958, goodness of fit = 0.937, goodness of prediction = 0.831, and permutation test p-value = 0.043). Combining the PLS-DA based feature selection with the differentially expressed features from the unpaired t-test and significance analysis of microarrays, 12 discriminatory biomarkers were found. Among them, hexanal and 1-hexanol have been previously known to be associated with the cultivation environment and storage conditions. Other hydrocarbon biomarkers are novel, and their impact on rice production and storage remains to be elucidated. In conclusion, our findings highlight the ability to rapidly discriminate white rice from Korea and China. The developed method maybe useful for the authenticity and quality control of white rice.
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