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使用顶空-固相微萃取/气相色谱-质谱联用和顶空气相色谱-离子迁移谱法鉴定和分析挥发性成分以揭示柑橘酸腐早期污染进程

Identification and Profiling of Volatiles Using Headspace-Solid-Phase Microextraction/Gas Chromatography-Mass Spectrometry and Headspace Gas Chromatography-Ion Mobility Spectrometry to Reveal Early Contamination Progress of Sour Rot in Citrus.

作者信息

Li Xue, Gao Qingchao, Liu Zhengfeng, Yao Li, Ren Xueyan, Kong Qingjun

机构信息

Xi'an Key Laboratory of Characteristic Fruit Storage and Preservation, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.

College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.

出版信息

J Agric Food Chem. 2025 May 28;73(21):12591-12603. doi: 10.1021/acs.jafc.5c01731. Epub 2025 May 15.

DOI:10.1021/acs.jafc.5c01731
PMID:40371909
Abstract

Sour rot, a devastating postharvest fungal disease induced by, causes substantial losses and flavor deterioration of citrus. Headspace-solid phase microextraction/gas chromatography-mass spectrometry (HS-SPME/GC-MS) and HS-GC-ion mobility spectrometry (IMS), available tools for accurate detection of multifarious VOCs, identified 149 and 120 VOCs during invasion of citrus from 0 to 48 h. Different infection stages were classified successfully based on the VOC variation by PLS-DA analysis, and 22 differential VOCs were screened as characteristic VOCs for understanding the contamination progress and early monitoring in sour rot citrus. Among them, 14 VOCs, such as ethyl propanoate, ethyl butanoate, -pinene, etc., were not found in the early infection stage but subsequently accumulated, and 9 VOCs, such as 2-hexanol and 2-hexenal, were present in the early infection stage and subsequently disappeared. These findings could distinguish the contamination severity of citrus sour rot and offer application potential of odor profiling for monitoring infestation of postharvest citrus.

摘要

酸腐病是一种由[具体病原菌未给出]引起的毁灭性采后真菌病害,会导致柑橘大量损失和风味劣变。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)是用于准确检测多种挥发性有机化合物(VOCs)的工具,在柑橘从0至48小时的侵染过程中分别鉴定出149种和120种VOCs。通过偏最小二乘判别分析(PLS-DA)基于VOCs的变化成功区分了不同的感染阶段,并筛选出22种差异VOCs作为特征VOCs,以了解酸腐柑橘的污染进程并进行早期监测。其中,14种VOCs,如丙酸乙酯、丁酸乙酯、α-蒎烯等,在感染早期未被发现,但随后积累;9种VOCs,如2-己醇和2-己烯醛,在感染早期存在,随后消失。这些发现可以区分柑橘酸腐病的污染严重程度,并为利用气味剖析监测采后柑橘侵染提供应用潜力。

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