Tian Xuemei, Wu Fenghua, Zhou Guoxin, Guo Jian, Liu Xingquan, Zhang Tao
College of Food and Health, Zhejiang Agriculture and Forestry University, Hangzhou 311300, China.
Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.
Food Chem X. 2022 Dec 6;17:100540. doi: 10.1016/j.fochx.2022.100540. eCollection 2023 Mar 30.
The rice weevil, (L.) (Coleoptera: Curculionidae) could cause significant grain loss by feeding internally on seeds. In this study, we tried to analyze the volatile compounds in non-infested and -infested brown rice during different storage periods to identify potential markers in -infested brown rice and facilitate pest monitoring during brown rice storage. Headspace solid-phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) and headspace-gas chromatography-ion mobility spectrometry (HS-GC-IMS) were used to identify the volatile compounds. On the basis of GC-MS and GC-IMS data, a reliable method to distinguish between non-infested and -infested brown rice was discovered using partial least squares-discriminant analysis (PLS-DA). 1-Octen-3-ol, 1-hexanol and 3-octanone were co-selected as potential markers because their variable importance in projection (VIP) was greater than 1 in both models. The current study's findings lay a foundation for further research on the brown rice infestation mechanism and safe storage monitoring.
米象,(L.)(鞘翅目:象甲科)会通过在种子内部取食导致大量谷物损失。在本研究中,我们试图分析不同储存期未受侵染和受侵染糙米中的挥发性化合物,以确定受侵染糙米中的潜在标志物,并促进糙米储存期间的害虫监测。采用顶空固相微萃取气相色谱 - 质谱联用仪(HS - SPME - GC - MS)和顶空气相色谱 - 离子迁移谱仪(HS - GC - IMS)来鉴定挥发性化合物。基于气相色谱 - 质谱联用仪(GC - MS)和气相色谱 - 离子迁移谱仪(GC - IMS)的数据,利用偏最小二乘判别分析(PLS - DA)发现了一种区分未受侵染和受侵染糙米的可靠方法。1 - 辛烯 - 3 - 醇、1 - 己醇和3 - 辛酮被共同选为潜在标志物,因为它们在两个模型中的投影变量重要性(VIP)均大于1。本研究结果为进一步研究糙米侵染机制和安全储存监测奠定了基础。