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通过质子转移反应质谱法测量挥发性有机化合物快速检测肉类腐败。

Rapid detection of meat spoilage by measuring volatile organic compounds by using proton transfer reaction mass spectrometry.

作者信息

Mayr D, Margesin R, Klingsbichel E, Hartungen E, Jenewein D, Schinner F, Märk T D

机构信息

Institute of Ion Physics. Institute of Microbiology, University of Innsbruck. Osterreichische Agentur für Gesundheit und Ernährungssicherheit, Lebensmitteluntersuchung Innsbruck, 6020 Innsbruck, Austria.

出版信息

Appl Environ Microbiol. 2003 Aug;69(8):4697-705. doi: 10.1128/AEM.69.8.4697-4705.2003.

Abstract

The evolution of the microbial spoilage population for air- and vacuum-packaged meat (beef and pork) stored at 4 degrees C was investigated over 11 days. We monitored the viable counts (mesophilic total aerobic bacteria, Pseudomonas spp., Enterobacteriaceae, lactic acid bacteria, and Enterococcus spp.) by the microbiological standard technique and by measuring the emission of volatile organic compounds (VOCs) with the recently developed proton transfer reaction mass spectrometry system. Storage time, packaging type, and meat type had statistically significant (P < 0.05) effects on the development of the bacterial numbers. The concentrations of many of the measured VOCs, e.g., sulfur compounds, largely increased over the storage time. We also observed a large difference in the emissions between vacuum- and air-packaged meat. We found statistically significant strong correlations (up to 99%) between some of the VOCs and the bacterial contamination. The concentrations of these VOCs increased linearly with the bacterial numbers. This study is a first step toward replacing the time-consuming plate counting by fast headspace air measurements, where the bacterial spoilage can be determined within minutes instead of days.

摘要

研究了在4℃下储存11天的空气包装和真空包装肉类(牛肉和猪肉)中微生物腐败菌群的演变。我们通过微生物标准技术监测活菌数(嗜温性总需氧菌、假单胞菌属、肠杆菌科、乳酸菌和肠球菌属),并使用最近开发的质子转移反应质谱系统测量挥发性有机化合物(VOCs)的排放。储存时间、包装类型和肉类类型对细菌数量的增长具有统计学显著影响(P < 0.05)。许多被测VOCs的浓度,如硫化合物,在储存期间大幅增加。我们还观察到真空包装和空气包装肉类的排放存在很大差异。我们发现某些VOCs与细菌污染之间存在统计学显著的强相关性(高达99%)。这些VOCs的浓度随细菌数量呈线性增加。这项研究是朝着用快速顶空空气测量取代耗时的平板计数迈出的第一步,通过这种方法可以在几分钟内而非几天内确定细菌腐败情况。

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