食品科学 ›› 2013, Vol. 34 ›› Issue (10): 231-237.doi: 10.7506/spkx1002-6630-201310051

• 分析检测 • 上一篇    下一篇

李斯特属细菌特征挥发性代谢物的鉴定分析

陈 雪,倪 鹏,喻勇新,潘迎捷,赵 勇   

  1. 1.上海海洋大学食品学院,上海 201306;2.上海水产品加工及贮藏工程技术研究中心,上海 201306;
    3.南通出入境检验检疫局,江苏 南通 226018
  • 收稿日期:2012-03-09 修回日期:2013-03-28 出版日期:2013-05-25 发布日期:2013-05-07
  • 通讯作者: 陈雪 E-mail:chenxue1987825@163.com

Characterization of Volatile Metabolites of Listeria spp. Strains

CHEN Xue,NI Peng,YU Yong-xin,PAN Ying-jie,ZHAO Yong   

  1. 1. College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China;
    2. Shanghai Engineering Research Center of Aquatic-Product Processing & Preservation, Shanghai 201306, China;
    3. Nantong Entry-Exit Inspection and Quarantine Bureau, Nantong 226018, China
  • Received:2012-03-09 Revised:2013-03-28 Online:2013-05-25 Published:2013-05-07
  • Contact: Xue CHEN E-mail:chenxue1987825@163.com

摘要:

采用气相色谱-质谱联用技术对李斯特属5种细菌的挥发性代谢产物进行研究,鉴定其化学物质,测定各物质的相对含量。研究发现通过与空白培养基比较,样品间共有挥发性物质有酮类(3种)、醛类(2种)、烷烃(2种)和其他物质(4种),且样品间各物质相对含量差异显著(P<0.05);经菌株代谢新产生挥发性物质有乙醇、丙酮、3-羟基-2-丁酮、乙酸丁酯、3-甲硫基丙醛和6-丁基壬烷;以及各菌株独有的挥发性代谢物质,最终发现每个细菌特有的气味化学条码。并通过电子鼻技术有效的区分李斯特属的5种细菌。研究表明,此气味化学条码有望应用于李斯特属细菌无损、快速的鉴定、检测。

关键词: 气相色谱-质谱联用, 电子鼻, 挥发性代谢产物, 指纹图谱

Abstract:

Here we analyzed for the firtst time volatile metabolites from five species of Listeria were systematically by gas
chromatography-mass spectroscopy (GC-MS). Cultures of all the Listeria species shared the common volatile metabolites:
three ketones, two aldehydes, two alkanes and four other substances. There were significant differences in the relative
content of the common volatile metabolites among these Listeria cultures (P < 0.05). The new volatile metabolites ethanol,
acetone, 3-hydroxy-2-butanone, butyl acetate, 3-(methylthio) propanal and 6-butyl nonane as well as those unique to each
strain were formed. Specific chemical barcodes were established for the unique smell of each strain. Effetive discrimination
among the five Listeria strains was perfomed using electronic nose. The chemical barcodes hold promise for the nondestructive,
rapid idfentification and detection of Listeria strains.

Key words: gas chromatography-mass spectroscopy, electronic nose, volatile metabolites, fingerprint

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