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多维气相色谱法揭示桉树象及其卵寄生蜂的昆虫-树和昆虫-昆虫相互作用的化学线索。

Unveiling Chemical Cues of Insect-Tree and Insect-Insect Interactions for the Eucalyptus Weevil and Its Egg Parasitoid by Multidimensional Gas Chromatographic Methods.

机构信息

Associated Laboratory for Green Chemistry (LAQV) of the Network of Chemistry and Technology (REQUIMTE), Chemistry Department, NOVA School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.

The Forest Research Centre (CEF), School of Agriculture University of Lisbon (ISA), Tapada da Ajuda, 1349-017 Lisbon, Portugal.

出版信息

Molecules. 2022 Jun 23;27(13):4042. doi: 10.3390/molecules27134042.

DOI:10.3390/molecules27134042
PMID:35807301
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9268296/
Abstract

Multidimensional gas chromatography is, presently, an established and powerful analytical tool, due to higher resolving power than the classical 1D chromatographic approaches. Applied to multiple areas, it allows to isolate, detect and identify a larger number of compounds present in complex matrices, even in trace amounts. Research was conducted to determine which compounds, emitted by host plants of the eucalyptus weevil, , might mediate host selection behavior. The identification of a pheromone blend of is presented, revealing to be more attractive to weevils of both sexes, than the individual compounds. The volatile organic compounds (VOCs) were collected by headspace solid phase microextraction (HS-SPME), MonoTrap disks, and simultaneous distillation-extraction (SDE). Combining one dimensional (1D) and two-dimensional (2D) chromatographic systems-comprehensive and heart-cut two-dimensional gas chromatography (GC×GC and H/C-MD-GC, respectively) with mass spectrometry (MS) and electroantennographic (EAD) detection, enabled the selection and identification of pertinent semiochemicals which were detected by the insect antennal olfactory system. The behavioral effect of a selected blend of compounds was assessed in a two-arm olfactometer with ten parallel walking chambers, coupled to video tracking and data analysis software. An active blend, composed by and -verbenol, verbenene, myrtenol and -pinocarveol was achieved.

摘要

多维气相色谱法是一种成熟且强大的分析工具,由于其分辨率高于传统的一维色谱方法。它应用于多个领域,能够分离、检测和识别复杂基质中更多数量的化合物,即使是痕量化合物也能被检测到。本研究旨在确定桉树象鼻虫的寄主植物释放的哪些化合物可能介导寄主选择行为。本文介绍了一种的信息素混合物的鉴定方法,结果表明该混合物对雌雄象鼻虫都更具吸引力,其吸引力强于单一化合物。采用顶空固相微萃取(HS-SPME)、MonoTrap 盘和同时蒸馏萃取(SDE)收集挥发性有机化合物(VOCs)。通过一维(1D)和二维(2D)色谱系统-全面和中心切割二维气相色谱(GC×GC 和 H/C-MD-GC)与质谱(MS)和电触角(EAD)检测相结合,选择和鉴定了相关的半化学物质,这些物质通过昆虫触角嗅觉系统进行检测。通过与视频跟踪和数据分析软件耦合的具有十个平行走行室的双臂嗅觉计评估了选定化合物混合物的行为效应。实现了由、-马鞭烯醇、马鞭烯酮、桃金娘醇和 -松油醇组成的活性混合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/c7c65fda6da6/molecules-27-04042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/9b7359f29740/molecules-27-04042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/64d851579e22/molecules-27-04042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/c7c65fda6da6/molecules-27-04042-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/9b7359f29740/molecules-27-04042-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/64d851579e22/molecules-27-04042-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/004a/9268296/c7c65fda6da6/molecules-27-04042-g003.jpg

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