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利用 LC-MS/MS 测定榛子的标记肽选择及其在其他坚果中的存在情况。

Marker peptide selection for the determination of hazelnut by LC-MS/MS and occurrence in other nuts.

机构信息

Christian Doppler Laboratory for Rapid Test Systems for Allergenic Food Contaminants, Center for Analytical Chemistry, Department IFA-Tulln, University of Natural Resources and Life Sciences, Konrad Lorenz Str. 20, 3430 Tulln, Austria.

出版信息

Anal Bioanal Chem. 2012 Mar;402(8):2607-15. doi: 10.1007/s00216-011-5218-6. Epub 2011 Jul 7.

Abstract

The aim of this work was identifying and selecting hazelnut marker peptides and subsequently developing a complementary method of common immunoassay for the detection of hazelnut. For this purpose, at first, an in silico digestion of three major hazelnut allergens (Cor a 8, Cor a 9 and Cor a 11) was performed to get information about expected peptides. After extraction and trypsin digestion of hazelnut proteins, the samples were measured with tandem mass spectrometry (MS/MS) by direct infusion, which led to identification of 14 peptides. Eight of them with the highest MS signal were synthesized and used as standards for developing a liquid chromatography (LC)-MS/MS method in selected reaction monitoring (SRM) mode. Since almost all food allergens derived from nuts belong to the seed storage protein family and have homologue structure, a Basic Local Alignment Search Tool (BLAST) search was performed to identify the hazelnut specificity of the developed method. According to BLAST, only one peptide occurs in three other nuts, and the remaining seven selected peptides are hazelnut specific. Additionally to hazelnut, the eight other listed nuts in Directive 2003/89/EC as allergen were extracted, digested and measured with the developed method to prove the BLAST results. The analytical data confirmed that six peptides are hazelnut specific, on the contrary to anti-hazelnut antibodies, which showed cross-reactivities to all other nut extracts. Comparing these results, it could be shown that with this LC-MS/MS method in SRM mode, the specific detection of hazelnut is possible.

摘要

本工作旨在鉴定和选择榛子标记肽,并随后开发一种用于检测榛子的通用免疫分析的补充方法。为此,首先对三种主要榛子过敏原(Cor a 8、Cor a 9 和 Cor a 11)进行了计算机模拟消化,以获取关于预期肽的信息。在提取和胰蛋白酶消化榛子蛋白后,将样品直接进行串联质谱(MS/MS)测量,从而鉴定出 14 种肽。其中 8 种具有最高 MS 信号的肽被合成,并用作开发液相色谱(LC)-MS/MS 方法的标准,该方法采用选择反应监测(SRM)模式。由于几乎所有来自坚果的食物过敏原都属于种子贮藏蛋白家族,并且具有同源结构,因此进行了基本局部比对搜索工具(BLAST)搜索,以鉴定所开发方法的榛子特异性。根据 BLAST,只有一种肽在其他三种坚果中存在,其余七种选择的肽是榛子特异性的。除了榛子之外,还对指令 2003/89/EC 中列出的其他八种坚果进行了提取、消化和测量,以证明 BLAST 结果。分析数据证实,有六种肽是榛子特异性的,与抗榛子抗体相反,抗榛子抗体对所有其他坚果提取物都表现出交叉反应性。通过比较这些结果,可以表明使用这种 LC-MS/MS 方法在 SRM 模式下,可以特异性检测榛子。

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