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对在不同条件下饲养的猪所制成的伊比利亚火腿进行质子转移反应质谱分析。

SIFT-MS analysis of Iberian hams from pigs reared under different conditions.

作者信息

Carrapiso Ana I, Noseda Bert, García Carmen, Reina Raquel, Sánchez Del Pulgar José, Devlieghere Frank

机构信息

University of Ghent, Faculty of Bioscience Engineering, Dept. Food Safety and Food Quality, Lab Food Microbiology and Food Preservation, Part of Food2Know, Coupure Links 653, B-9000 Ghent, Belgium.

University of Ghent, Faculty of Bioscience Engineering, Dept. Food Safety and Food Quality, Lab Food Microbiology and Food Preservation, Part of Food2Know, Coupure Links 653, B-9000 Ghent, Belgium.

出版信息

Meat Sci. 2015 Jun;104:8-13. doi: 10.1016/j.meatsci.2015.01.012. Epub 2015 Feb 7.

Abstract

The aim of this study was to investigate the usefulness of a Selected Ion Flow Tube-Mass Spectrometry (SIFT-MS) equipment to tentatively quantify relevant volatile compounds of dry-cured Iberian ham, and to differentiate Iberian hams from pigs reared at four different conditions yielding different commercial grades. The SIFT-MS analysis allowed the rapid quantification of 39 Iberian ham volatile compounds, 16 of them being significantly affected by the rearing conditions of pigs. The full spectra SIFT-MS data allowed the correct classification of 79.2% of hams according to diet, which is a smaller percentage than that obtained using intramuscular fatty acid data (95.8%) obtained by using a gas chromatograph-flame ionization detector after lipid extraction and transesterification. Therefore, the SIFT-MS analysis would be a rapid tool to tentatively quantify some relevant volatile compounds, and also would provide a rapid but rough classification of Iberian ham according to the rearing conditions of pigs.

摘要

本研究的目的是调查选择离子流管质谱仪(SIFT-MS)设备对初步定量干腌伊比利亚火腿相关挥发性化合物的有用性,并区分来自在四种不同条件下饲养且具有不同商业等级的猪的伊比利亚火腿。SIFT-MS分析能够快速定量39种伊比利亚火腿挥发性化合物,其中16种受猪的饲养条件显著影响。完整光谱的SIFT-MS数据能够根据饮食对79.2%的火腿进行正确分类,这一百分比低于使用气相色谱 - 火焰离子化检测器在脂质提取和酯交换后获得的肌内脂肪酸数据(95.8%)所得到的分类百分比。因此,SIFT-MS分析将是一种快速工具,可用于初步定量一些相关挥发性化合物,并且还能根据猪的饲养条件对伊比利亚火腿进行快速但粗略的分类。

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