Liu Ningjing, Koot Alex, Hettinga Kasper, de Jong Jacob, van Ruth Saskia M
Wageningen University and Research, RIKILT Wageningen Research/Food Quality and Design Group, P.O. Box 230, 6700 AE Wageningen, The Netherlands.
Wageningen University and Research, RIKILT Wageningen Research/Food Quality and Design Group, P.O. Box 230, 6700 AE Wageningen, The Netherlands.
Food Chem. 2018 Jan 15;239:201-207. doi: 10.1016/j.foodchem.2017.06.099. Epub 2017 Jun 20.
The aim of this study was to discover the unique volatile compositional traits of retail milk from different production systems. Forty-four retail milk samples were analyzed, including organic milk (n=10), conventional milk (n=14) and pasture milk (n=20) from winter (n=22) and summer (n=22). Proton transfer reaction quadrupole mass spectrometry (PTR-(Quad)MS) was utilized to obtain the mass-resolved fingerprints (76 masses per sample) of volatile organic compounds (VOCs). Principal component analysis (PCA) and analysis of variance (ANOVA) were performed to evaluate the differences between the groups. The production systems were characterized by six masses, while season showed larger differences, with twenty-two masses discriminating between the milks. For 2 masses, a significant interaction of systems and seasons was observed. The chemical formula of these VOC masses were tentatively identified by Proton Transfer Reaction Time-of-Flight Mass Spectrometric (PTR-(ToF)MS). These results illustrate that the type of feed is reflected in the VOC composition of milks.
本研究的目的是发现来自不同生产系统的零售牛奶独特的挥发性成分特征。分析了44个零售牛奶样本，包括冬季（n = 22）和夏季（n = 22）的有机牛奶（n = 10）、传统牛奶（n = 14）和牧场牛奶（n = 20）。利用质子转移反应四极杆质谱法（PTR-(Quad)MS）获得挥发性有机化合物（VOCs）的质量分辨指纹图谱（每个样本76个质量数）。进行主成分分析（PCA）和方差分析（ANOVA）以评估各组之间的差异。生产系统以六个质量数为特征，而季节差异更大，有22个质量数可区分不同牛奶。对于2个质量数，观察到系统和季节之间存在显著相互作用。通过质子转移反应飞行时间质谱法（PTR-(ToF)MS）初步鉴定了这些VOC质量数的化学式。这些结果表明，饲料类型反映在牛奶的VOC组成中。
