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挥发性有机代谢物能否同时用于评估谷物和咖啡豆中的微生物和螨类污染水平?

Can volatile organic metabolites be used to simultaneously assess microbial and mite contamination level in cereal grains and coffee beans?

机构信息

Departament of Chemistry, QOPNA, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal.

出版信息

PLoS One. 2013 Apr 16;8(4):e59338. doi: 10.1371/journal.pone.0059338. Print 2013.

Abstract

A novel approach based on headspace solid-phase microextraction (HS-SPME) combined with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-ToFMS) was developed for the simultaneous screening of microbial and mite contamination level in cereals and coffee beans. The proposed approach emerges as a powerful tool for the rapid assessment of the microbial contamination level (ca. 70 min versus ca. 72 to 120 h for bacteria and fungi, respectively, using conventional plate counts), and mite contamination (ca. 70 min versus ca. 24 h). A full-factorial design was performed for optimization of the SPME experimental parameters. The methodology was applied to three types of rice (rough, brown, and white rice), oat, wheat, and green and roasted coffee beans. Simultaneously, microbiological analysis of the samples (total aerobic microorganisms, moulds, and yeasts) was performed by conventional plate counts. A set of 54 volatile markers was selected among all the compounds detected by GC×GC-ToFMS. Principal Component Analysis (PCA) was applied in order to establish a relationship between potential volatile markers and the level of microbial contamination. Methylbenzene, 3-octanone, 2-nonanone, 2-methyl-3-pentanol, 1-octen-3-ol, and 2-hexanone were associated to samples with higher microbial contamination level, especially in rough rice. Moreover, oat exhibited a high GC peak area of 2-hydroxy-6-methylbenzaldehyde, a sexual and alarm pheromone for adult mites, which in the other matrices appeared as a trace component. The number of mites detected in oat grains was correlated to the GC peak area of the pheromone. The HS-SPME/GC×GC-ToFMS methodology can be regarded as the basis for the development of a rapid and versatile method that can be applied in industry to the simultaneous assessment the level of microbiological contamination and for detection of mites in cereals grains and coffee beans.

摘要

基于顶空固相微萃取(HS-SPME)与全二维气相色谱飞行时间质谱联用(GC×GC-ToFMS)的新型方法,用于同时筛选谷物和咖啡豆中的微生物和螨污染水平。该方法是一种快速评估微生物污染水平(约 70 分钟,而细菌和真菌分别使用常规平板计数法需要约 72 至 120 小时)和螨污染水平(约 70 分钟,而 24 小时)的强大工具。采用完全析因设计对 SPME 实验参数进行了优化。该方法应用于三种类型的大米(糙米、棕米和白米)、燕麦、小麦和绿咖啡豆和烤咖啡豆。同时,通过常规平板计数法对样品的微生物学分析(总需氧微生物、霉菌和酵母菌)进行了分析。从 GC×GC-ToFMS 检测到的所有化合物中选择了一组 54 种挥发性标志物。应用主成分分析(PCA)建立潜在挥发性标志物与微生物污染水平之间的关系。苯甲醚、3-辛酮、2-壬酮、2-甲基-3-戊醇、1-辛烯-3-醇和 2-己酮与微生物污染水平较高的样品相关,尤其是在糙米中。此外,燕麦表现出 2-羟基-6-甲基苯甲醛的高 GC 峰面积,这是成螨的性信息素和警报信息素,而在其他基质中则表现为痕量成分。在燕麦粒中检测到的螨虫数量与信息素的 GC 峰面积相关。HS-SPME/GC×GC-ToFMS 方法可以作为开发快速通用方法的基础,该方法可应用于工业领域,用于同时评估微生物污染水平,并检测谷物和咖啡豆中的螨虫。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1aba/3628908/d148ae656d1f/pone.0059338.g001.jpg

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