MALDI-TOF-MS Platform for Integrated Proteomic and Peptidomic Profiling of Milk Samples Allows Rapid Detection of Food Adulterations
MALDI-TOF-MS Platform for Integrated Proteomic and Peptidomic Profiling of Milk Samples Allows Rapid Detection of Food Adulterations
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DOI：
10.1021/acs.jafc.5b02384
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发表时间：
2015-07-15
影响因子：
6.1
通讯作者：
Scaloni, Andrea
中科院分区：
文献类型：
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作者：
Sassi, Mauro;Arena, Simona;Scaloni, Andrea
出于经济原因和季节性供应，绵羊奶、山羊奶和水牛奶中掺入了更常见的牛奶。欺诈还与使用奶粉而不是声明的新鲜原料有关。在这种情况下，各种分析方法已适应乳品科学应用，旨在评估牛奶样品的掺假，尽管耗时，但仅适用于形态或热处理分析，或可用于特定的欺诈类型。这里介绍了一个用于对牛奶样品进行肽组学和蛋白质组学组合分析的集成 MALDI-TOF-MS 平台，该平台可以快速检测由于在水牛、山羊奶和绵羊奶中添加未申报的牛原料或在新鲜牛奶中添加牛奶粉而导致的非法掺假。在直接分析大量稀释脱脂和/或浓缩稀释脱脂滤液样品后，鉴定了每种动物奶的肽和蛋白质标记物。同时，对不同类型的商业牛奶中的热处理标记进行了表征。对特制制备的物种或热处理相关的掺假牛奶样品的主要成分评分进行偏最小二乘回归，从而可以快速准确地估计测试样品中蛋白质和肽水平的欺诈程度。相对于之前关于牛奶形态分析的 MALDI-TOF-MS 蛋白质分析方法的报告，本研究将该方法扩展到热处理分析，并引入了独立的、互补的肽分析测量，该测量将蛋白质数据与肽的附加信息相结合，验证最终结果并最终扩大该方法的适用性。
Adulteration of ovine, caprine, and buffalo milks with more common bovine material occurs for eeonomic reasons and seasonal availability. Frauds are also associated with the use of powdered milk instead of declared, fresh material. In this context, various analytical methods have been adapted to dairy science applications with the aim to evaluate adulteration of milk samples, although time-consuming, suitable only for speciation or thermal treatment analysis, or useful for a specific fraud type. An integrated MALDI-TOF-MS platform for the combined peptidomic and proteomic profiling of milk samples is here presented, which allows rapid detection of illegal adulterations due to the addition of either nondeclared bovine material to water buffalo) goat, and ovine milks or of powdered bovine milk to the fresh counterpart. Peptide and protein markers of each animal milk were identified after direct analysis of a large number of diluted skimmed and/or enriched diluted skimmed filtrate samples. In parallel, markers of thermal treatment were characterized in different types of commercial milks. Principal components scores of ad hoc prepared species- or thermal treatment-associated adulterated milk samples were subjected to partial least-squares regression, permitting a fast accurate estimate of the fraud extents in test samples at either protein and peptide level. With respect to previous reports on MALDI-TOF-MS protein profiling methodologies for milk speciation, this study extends that approach to the analysis of the thermal treatment and introduces an independent, complementaty peptide profiling measurement, which integrates protein data with additional information on peptides, validating final results and ultimately broadening the method applicability.