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选择离子流管质谱法鉴定新鲜猪肉在改良气氛包装下的挥发性变质标志物。

Selected-ion flow-tube mass spectrometry for the identification of volatile spoilage markers for fresh pork packaged under modified atmospheres.

机构信息

Research Unit Food Microbiology and Food Preservation (FMFP), Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium.

Research Unit Food Microbiology and Food Preservation (FMFP), Department of Food Technology, Safety and Health, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, B-9000 Ghent, Belgium.

出版信息

Food Chem. 2023 Oct 15;423:136318. doi: 10.1016/j.foodchem.2023.136318. Epub 2023 May 6.

Abstract

Microbial behavior during meat storage leads to the generation of volatile organic compounds (VOCs) and unpleasant off-odors. This study focused on a novel real-time analytical method, selected-ion flow-tube mass spectrometry (SIFT-MS), to monitor VOC quality and identify spoilage indicators for fresh pork stored under different packaging atmospheres (air, 70/0/30, 70/30/0, 5/30/65, 0/30/70 - v/v% O/CO/N) at 4 °C. A comprehensive selection methodology was used to identify compounds with good instrumental data quality as well as a strong relationship with microbial growth and olfactory rejection. Based on the volatolome quantified by SIFT-MS, storage periods and conditions can be discriminated using multivariate statistics. Acetoin (or ethyl acetate) represented a significant pork quality marker for high-O conditions, whereas ethanol, 3-methylbutanal and sulfur compounds can indicate the anaerobic storage progress. Considering the applicability in monitoring different VOC profiles, SIFT-MS is expected to be promising in many storage scenarios to improve analytical efficiency and ensure reliability.

摘要

微生物在肉类储存过程中的行为会产生挥发性有机化合物(VOC)和难闻的异味。本研究专注于一种新颖的实时分析方法,即选择离子流管质谱(SIFT-MS),以监测不同包装气氛(空气、70/0/30、70/30/0、5/30/65、0/30/70-v/v%O/CO/N)下 4°C 新鲜猪肉的 VOC 质量,并识别变质指标。采用综合选择方法来识别具有良好仪器数据质量以及与微生物生长和嗅觉排斥有很强关系的化合物。基于 SIFT-MS 定量的挥发谱,可以使用多元统计来区分储存期和条件。乙酰丙酮(或乙酸乙酯)是高氧条件下猪肉质量的重要标志物,而乙醇、3-甲基丁醛和硫化合物可以表明厌氧储存的进展。考虑到在监测不同 VOC 谱方面的适用性,SIFT-MS 有望在许多储存场景中提高分析效率并确保可靠性。

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