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使用气体传感器阵列和 GC/MS 技术的挥发物特征分析初步研究。

A Pilot Study for Volatilome Characterization Using a Gas Sensor Array and GC/MS Techniques.

机构信息

Department of Electronic Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy.

Interdepartmental Centre for Volatilomics 'A. D'Amico', University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy.

出版信息

Sensors (Basel). 2023 Jan 26;23(3):1401. doi: 10.3390/s23031401.

Abstract

Legionellosis is a generic term describing the pneumonic (Legionnaires' disease, LD) and non-pneumonic (Pontiac fever, PF) forms of infection with bacteria belonging to the genus . Currently, the techniques used to detect spp. in water samples have certain limitations and drawbacks, and thus, there is a need to identify new tools to carry out low-cost and rapid analysis. In this regard, several studies demonstrated that a volatolomics approach rapidly detects and discriminates different species of microorganisms via their volatile signature. In this paper, the volatile organic compounds (VOCs) pattern emitted in vitro by cultures is characterized and compared to those produced by other species and by , using a gas sensor array and gas chromatograph mass spectrometer (GC-MS). Bacterial cultures were measured at the 3rd and 7th day after the incubation. Sensor array data analyzed via the K-nearest neighbours (k-NN) algorithm showed a sensitivity to identification at around 89%. On the other hand, GC-MS identified a bouquet of VOCs, mainly alcohols and ketones, that enable the differentiation of in respect to other waterborne microorganisms.

摘要

军团病是一种通用术语,用于描述肺部(军团病,LD)和非肺部(庞蒂亚克热,PF)感染的细菌属于 属。目前,用于检测水样中的 spp. 的技术存在一定的局限性和缺点,因此需要识别新的工具来进行低成本和快速分析。在这方面,几项研究表明,挥发物组学方法可以通过其挥发性特征快速检测和区分不同种类的微生物。在本文中,通过气体传感器阵列和气相色谱质谱联用仪(GC-MS),对体外培养的 产生的挥发性有机化合物(VOCs)图谱进行了表征,并与其他 物种和 产生的 VOCs 进行了比较。在孵育后第 3 天和第 7 天测量细菌培养物。通过 K-最近邻(k-NN)算法分析传感器阵列数据显示,对 的识别灵敏度约为 89%。另一方面,GC-MS 鉴定出了一系列 VOCs,主要是醇类和酮类,能够区分水中的 与其他微生物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25cb/9920052/d0a40223153a/sensors-23-01401-g001.jpg

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