Department IFA-Tulln, Center for Analytical Chemistry, Christian Doppler Laboratory for Rapid Test Systems for Allergenic Food Contaminants, University of Natural Resources and Life Sciences, Konrad Lorenz Str. 20, 3430 Tulln, Austria.
Anal Bioanal Chem. 2011 Jan;399(3):1105-15. doi: 10.1007/s00216-010-4422-0. Epub 2010 Nov 25.
The aim of this work was the determination of peptides, which can function as markers for identification of milk allergens in food samples. Emphasis was placed on two casein proteins (α- and β-casein) and two whey proteins (α-lactalbumin and β-lactoglobulin). In silico tryptic digestion provided preliminary information about the expected peptides. After tryptic digestion of four milk allergens, the analytical data obtained by combination of reversed-phase high performance liquid chromatography and quadrupole tandem mass spectrometry (LC-MS/MS) led to the identification of 26 peptides. Seven of these peptides were synthesized and used for calibration of the LC-MS/MS system. Species specificity of the selected peptides was sought by BLAST search. Among the selected peptides, only LIVTQTMK from β-lactoglobulin (m/z 467.6, charge 2+) was found to be cow milk specific and could function as a marker. Two other peptides, FFVAPFPEVFGK from α-casein (m/z 693.3, charge 2+) and GPFPIIV from β-casein (m/z 742.5, charge 1+), occur in water buffalo milk too. The other four peptides appear in the milk of other species also and can be used as markers for ruminant species milk. Using these seven peptides, a multianalyte MS-based method was developed. For the establishment of the method, it was applied at first to different dairy samples, and then to chocolate and blank samples, and the peptides could be determined down to 1 ng/mL in food samples. At the end, spiked samples were measured, where the target peptides could be detected with a high recovery (over 50%).
本工作旨在确定可作为食品样品中牛奶过敏原鉴定标志物的肽。重点研究了两种酪蛋白(α-和β-酪蛋白)和两种乳清蛋白(α-乳白蛋白和β-乳球蛋白)。计算机模拟胰蛋白酶消化提供了有关预期肽的初步信息。对四种牛奶过敏原进行胰蛋白酶消化后,通过反相高效液相色谱和四极杆串联质谱(LC-MS/MS)联用获得的分析数据导致鉴定出 26 种肽。其中 7 种肽被合成并用于 LC-MS/MS 系统的校准。通过 BLAST 搜索寻求所选肽的种属特异性。在所选择的肽中,只有来自β-乳球蛋白的 LIVTQTMK(m/z 467.6,电荷 2+)被发现是牛乳特异性的,可以作为标志物。另外两种肽,FFVAPFPEVFGK 来自α-酪蛋白(m/z 693.3,电荷 2+)和 GPFPIIV 来自β-酪蛋白(m/z 742.5,电荷 1+),也存在于水牛乳中。其他四种肽也存在于其他物种的乳中,可作为反刍动物乳的标志物。使用这七种肽,开发了一种基于 MS 的多分析物方法。首先将该方法应用于不同的乳制品样品,然后应用于巧克力和空白样品,可在食品样品中检测到低至 1ng/mL 的肽。最后,对添加样品进行了测量,其中目标肽可以以高回收率(超过 50%)检测到。