Oliveira Gislene B, Alewijn Martin, Boerrigter-Eenling Rita, van Ruth Saskia M
RIKILT, Wageningen University and Research Centre, P.O. Box 230, Wageningen 6700 AE, The Netherlands.
Food Quality and Design Group, Wageningen University, P.O. Box 17, Wageningen 6700 AA, The Netherlands.
Foods. 2015 Aug 25;4(3):359-375. doi: 10.3390/foods4030359.
Consumers' interest in the way meat is produced is increasing in Europe. The resulting free range and organic meat products retail at a higher price, but are difficult to differentiate from their counterparts. To ascertain authenticity and prevent fraud, relevant markers need to be identified and new analytical methodology developed. The objective of this pilot study was to characterize pork belly meats of different animal welfare classes by their fatty acid (Fatty Acid Methyl Ester-FAME), non-volatile compound (electrospray ionization-tandem mass spectrometry-ESI-MS/MS), and volatile compound (proton-transfer-reaction mass spectrometry-PTR-MS) fingerprints. Well-defined pork belly meat samples (13 conventional, 15 free range, and 13 organic) originating from the Netherlands were subjected to analysis. Fingerprints appeared to be specific for the three categories, and resulted in 100%, 95.3%, and 95.3% correct identity predictions of training set samples for FAME, ESI-MS/MS, and PTR-MS respectively and slightly lower scores for the validation set. Organic meat was also well discriminated from the other two categories with 100% success rates for the training set for all three analytical approaches. Ten out of 25 FAs showed significant differences in abundance between organic meat and the other categories, free range meat differed significantly for 6 out of the 25 FAs. Overall, FAME fingerprinting presented highest discrimination power.
在欧洲,消费者对肉类生产方式的兴趣日益增加。由此产生的散养和有机肉类产品售价更高,但很难与同类产品区分开来。为了确定其真实性并防止欺诈行为,需要识别相关标志物并开发新的分析方法。这项初步研究的目的是通过脂肪酸(脂肪酸甲酯 - FAME)、非挥发性化合物(电喷雾电离串联质谱 - ESI-MS/MS)和挥发性化合物(质子转移反应质谱 - PTR-MS)指纹图谱来表征不同动物福利等级的猪肚肉。对来自荷兰的定义明确的猪肚肉样本(13个传统养殖、15个散养和13个有机养殖)进行了分析。指纹图谱似乎对这三个类别具有特异性,对于FAME、ESI-MS/MS和PTR-MS,训练集样本的正确身份预测率分别为100%、95.3%和95.3%,验证集的得分略低。对于所有三种分析方法,有机肉在训练集中也能很好地与其他两类区分开来,成功率为100%。25种脂肪酸中有10种在有机肉和其他类别之间的丰度存在显著差异,25种脂肪酸中有6种在散养肉中存在显著差异。总体而言,FAME指纹图谱具有最高的鉴别能力。