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首页> 外文期刊>Analytical and bioanalytical chemistry >HS-SPME-GC×GC-qMS volatile metabolite profiling of Chrysolina herbacea frass and Mentha spp. leaves
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HS-SPME-GC×GC-qMS volatile metabolite profiling of Chrysolina herbacea frass and Mentha spp. leaves

机译:灰Ch和薄荷属的HS-SPME-GC×GC-qMS挥发性代谢物谱树叶

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摘要

Headspace solid-phase microextraction (HSSPME) comprehensive two-dimensional (2D) gas chromatography combined with quadrupole-mass spectrometry (GC×GC-qMS) with dedicated comparative data elaboration was applied to separate chemical patterns arising from the interaction between some Mentha species and the herbivore Chrysolina herbacea, also known as the mint bug. Upon feeding on different Mentha species (Mentha spicata L., Mentha×piperita L. and Mentha longifolia L.), C. herbacea produced frass (faeces) which were characterized by a typical volatile fraction. HS-SPME GC×GC-qMS analysis of the complex volatile fraction of both mint leaf and C. herbacea frass was submitted to advanced fingerprinting analysis of 2D chromatographic data. 18-Cineole found in the leaves of all the Mentha species examined was oxidized and C. herbacea frass yielded high rates of several hydroxy-18-cineoles including 2α-hydroxy- 3?-hydroxy- 3β-hydroxy- and 9-hydroxy-18-cineole. Upon insect feeding several unknown oxidized monoterpenes a p-menthane diol and three unknown phenylpropanoids were also detected in the frass volatiles. In M. longifolia the occurrence of the monoterpene piperitenone oxide was found to be toxic and associated with insect death. The results of this work show that high throughput techniques such as HSSPME and GC×GC-qMS fingerprint analysis are ideal tools to analyze complex volatile matrices and provide a sensitive method for the direct comparison and chemical visualization of plant and insect emitted volatile components.
机译:顶空固相微萃取(HSSPME)综合二维(2D)气相色谱与四极杆质谱(GC×GC-qMS)结合专门的比较数据精细化处理,用于分离由某些薄荷类物种之间的相互作用产生的化学模式草食性绿藻(Chrysolina herbacea),也被称为薄荷虫。捕食不同种类的薄荷(Mentha spicata L.,薄荷(Mentha×piperita L.)和薄荷(Mentha longifolia L.))后,禾本科弯孢菌产生了以典型的挥发性级分为特征的fr(粪便)。 HS-SPME GC×GC-qMS分析了薄荷叶和桔梗的复杂挥发性成分,从而对二维色谱数据进行了高级指纹分析。在所有考察的薄荷类植物的叶子中发现的18-Cineole被氧化,C。草粉fr产生高比率的几种羟基-18-Cineoles,包括2α-羟基-3α-羟基-3β-羟基和9-羟基-18 -cineole。在昆虫喂食后,在烟熏挥发物中还检测到了几种未知的氧化单萜,对-薄荷烷二醇和三种未知的苯基丙烷。在长叶M.中,发现单萜哌啶酮氧化物的存在是有毒的,并且与昆虫死亡有关。这项工作的结果表明,高通量技术(例如HSSPME和GC×GC-qMS指纹分析)是分析复杂挥发性基质的理想工具,并为直接比较和化学可视化植物和昆虫排放的挥发性组分提供了灵敏的方法。

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