HS-SPME-GC/MS-AMDIS用于金黄色葡萄球菌挥发性代谢产物指纹图谱的初步研究

李延梅; 陈娟; 龙虎; 唐俊妮; 王月丽

doi:10.13386/j.issn1002-0306.2020.12.034

HS-SPME-GC/MS-AMDIS用于金黄色葡萄球菌挥发性代谢产物指纹图谱的初步研究

西南民族大学, 四川成都 610041

基金项目:

十三五重点研发项目(2018YFD0500500)

西南民族大学研究生创新项目(CX2019SZ157)。

四川省科技计划项目(2018JY0540)

详细信息

作者简介:
李延梅(1995-),女,硕士研究生,研究方向:食源性病原菌快速检测技术,E-mail:837450633@qq.com。

通讯作者:
陈娟(1980-),女,博士,副研究员,研究方向:食品微生物与食品安全,E-mail:chenj1221@126.com。

中图分类号: TS201.6
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出版历程
- 收稿日期: 2019-09-11
- 网络出版日期: 2020-11-12
- 刊出日期: 2020-06-14

Preliminary Study on the Fingerprint of Volatile Metabolites of Staphylococcus aureus by HS-SPME-GC/MS-AMDIS

Southwest Minzu University, Chengdu 610041, China

摘要

摘要: 根据金黄色葡萄球菌挥发性代谢产物的轮廓特征,建立金黄色葡萄球菌挥发性代谢产物指纹图谱。在7.5% NaCl肉汤培养基中,采用顶空固相微萃取/气相色谱质谱联用技术(HS-SPME-GC/MS)及自动质谱光谱反卷积与识别系统(AMDIS),结合《中药色谱指纹图谱相似度评价系统》检测分析金黄色葡萄球菌的挥发性代谢产物。研究确立了由17个金黄色葡萄球菌挥发性代谢产物目标化合物组成的质谱数据库,并在此数据库的基础上分析得到10组图谱的相似度均在0.90以上,符合指纹图谱的技术要求,基于此建立了金黄色葡萄球菌挥发性代谢产物指纹图谱。采用HS-SPME-GC/MS-AMDIS方法鉴定的物质在NIST检索时正向和反向匹配度均大于800,在AMDIS目标化合物质谱数据库中最小匹配度均大于80,结果准确、可靠、操作简单。建立的金黄色葡萄球菌挥发性代谢产物指纹图谱可作为金黄色葡萄球菌质量监测及分析方法的参考。
- 金黄色葡萄球菌 /
- 挥发性代谢产物 /
- 指纹图谱 /
- 顶空固相微萃取/气相色谱质谱联用 /
- 自动质谱光谱反卷积与识别系统
Abstract: The aim of this study was to establish a fingerprint of volatile metabolites from S. Aureus according to the volatile characteristics of Staphylococcus aureus. In the 7.5% NaCl broth medium, volatile metabolites of S. aureus were detected and analyzed using headspace solid phase microextraction/gas chromatography-mass spectrometry (HS-SPME-GC/MS) and automated mass spectral deconvolution and identification system (AMDIS), combined with similarity evaluation system for chromatographic fingerprints of TCM. Research established a mass spectrometry database consisting of 17 target volatile metabolites of S. aureus was established, and based on this database, the similarities of 10 sets of chromatograms were all above 0.90, which met the technical requirements of fingerprints. Based on this, a fingerprint of volatile metabolites of S. aureus was established. The match and reverse march of the compounds identified by the HS-SPME-GC/MS-AMDIS in NIST were all above 800, and the minimum match factor were all above 80, hence the results are accurate, reliable and easy to operate. The established fingerprint of volatile metabolites of S. aureus could be used as a reference for the quality monitoring and analysis of S. aureus.

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