Qian Lili, Chen Mingming, Song Yan, Zhang Tao, Liu Xingquan, Zhou Guoxin, Liu Hongyan, Zuo Feng
College of Food Science, Heilongjiang Bayi Agricultural University, Daqing 163319, China.
Key Laboratory of Agro-Products Processing and Quality Safety of Heilongjiang province, Daqing 163319, China.
Food Chem X. 2025 Jul 10;29:102779. doi: 10.1016/j.fochx.2025.102779. eCollection 2025 Jul.
This study aimed to discriminate between different varieties of rice from the Wuchang region using a combination of electronic nose (-nose), headspace solid-phase microextraction-gas chromatography-olfactometry-mass spectrometry (HS-SPME-GC-O-MS), and chemometric analysis. Six rice varieties (Wuyoudao No. 4 (WC54), Longyang No. 11 (LY11), ZhongKefa No. 5 (ZKF5), Dongnong No. 425 (DN425), Longyang No. 16 (LY16) and Suijing No. 18 (SJ18)) were analyzed to identify key volatile compounds and aroma-active substances. The electronic nose provided initial differentiation, particularly by the 5 th, 14 th, and 11 th sensors), which showed significant differences in their response strength between ZKF5 and LY16. Furthermore, 148 differential volatile compounds (VIP > 1) were identified by HS-SPME-GC-MS, and aldehydes and alkanes were the most significant contributors to the aroma profiles. Meanwhile, orthogonal partial least squares-discriminant analysis (OPLS-DA) further confirmed the distinctiveness of each rice variety based on their volatile compounds (RY = 0.991, Q = 0.900). Additionally, GC-O analysis revealed 36 aroma-active compounds, with WC54 exhibiting the highest aroma intensity, characterized by fruity and creamy notes. The study successfully differentiated WC54 from other varieties, providing a robust method for protecting geographical indication products and ensuring consumer rights.
本研究旨在结合电子鼻、顶空固相微萃取-气相色谱-嗅觉测量-质谱联用技术(HS-SPME-GC-O-MS)和化学计量学分析,鉴别五常地区不同品种的水稻。对六个水稻品种(五优稻4号(WC54)、龙洋11号(LY11)、中科发5号(ZKF5)、东农425号(DN425)、龙洋16号(LY16)和绥粳18号(SJ18))进行分析,以确定关键挥发性化合物和香气活性物质。电子鼻提供了初步区分,特别是通过第5、14和11个传感器,它们在ZKF5和LY16之间的响应强度显示出显著差异。此外,通过HS-SPME-GC-MS鉴定出148种差异挥发性化合物(VIP>1),醛类和烷烃是香气特征的最重要贡献者。同时,正交偏最小二乘判别分析(OPLS-DA)进一步证实了每个水稻品种基于其挥发性化合物的独特性(RY = 0.991,Q = 0.900)。此外,GC-O分析揭示了36种香气活性化合物,WC54表现出最高的香气强度,具有水果和奶油味。该研究成功地将WC54与其他品种区分开来,为保护地理标志产品和保障消费者权益提供了一种可靠的方法。