Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education, Heilongjiang University, Harbin, 150500, China.
Key Laboratory of Molecular Biology of Heilongjiang Province, College of Life Science, Heilongjiang University, Harbin, 150080, China.
Sci Rep. 2023 May 17;13(1):7973. doi: 10.1038/s41598-023-34797-2.
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 Wuyoudao 4 from nine sites in Wuchang were compared to 11 rice cultivar 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.
由于许多稻米品种在外观和市场价值上存在相似性，蓄意的标签错误和掺假已成为一个严重的问题。为了检查其真实性，我们旨在通过顶空固相微萃取（HS-SPME）结合气相色谱质谱（GC-MS），根据挥发性有机化合物（VOC）的组成来区分稻米品种。将来自武昌 9 个地点的武优稻 4 号与来自其他地区的 11 种水稻品种的 VOC 图谱进行了比较。多元分析和无监督聚类表明，武昌稻与非武昌稻之间存在明确的区别。偏最小二乘判别分析（PLS-DA）显示拟合度为 0.90，预测度为 0.85。挥发性化合物的判别能力也得到了随机森林分析的支持。我们的数据揭示了包括 2-乙酰-1-吡咯啉（2-AP）在内的 8 种生物标志物，可用于品种识别。总之，该方法可以快速区分武昌稻与其他品种，这使其在检查稻米真实性方面具有很大的潜力。
