烘焙条件对面筋检测及成分的影响

Tanja Schirmer, Prof. Dr. Katharina Scherf
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引用次数: 0

摘要

加工过程中面筋网络的形成对小麦产品的功能和质量起着至关重要的作用。然而,由于小麦蛋白质组的复杂性,交联的潜在机制尚不完全清楚。面筋蛋白在小麦粉加工过程中的构象变化也会影响面筋分析,这对确定食品的无麸质状态至关重要。本研究旨在探讨加工对面筋蛋白免疫化学检测的影响,以及加工对面筋蛋白定性和定量组成的影响。采用基于免疫、色谱、凝胶和质谱的方法对同一面团制成的不同的小麦面食和烘焙食品(面包、脆饼、椒盐卷饼)进行了表征。考虑样品的不同加工程度(热处理、碱处理),按加工程度的递减顺序为:面粉、面团、面包屑、椒盐脆饼、脆饼、面包皮、椒盐脆饼皮。采用不同的提取方案,包括改进的Osborne分馏法,结合RP-和GP-HPLC分析,测定样品中小麦蛋白的蛋白质回收率和溶解度。蛋白质回收率是指相对于总粗蛋白质含量所分析的蛋白质含量。结果表明,随着食品加工程度的增加,加工样品中的蛋白质回收率降低。例如,面团的蛋白质回收率为90%,而未经碱处理的烘焙食品的蛋白质回收率为75% ~ 83%,碱处理(椒盐脆饼皮)的蛋白质回收率为58% ~ 61%。利用LC-MS/MS进行蛋白质组分析,共鉴定出1488个多肽,分为93个蛋白质组。ALGL部分含有71个蛋白质组,麦胶蛋白部分含有27个蛋白质组,谷蛋白部分含有47个蛋白质组。各馏分中仅发现16个蛋白质组。ALGL组分中的大部分蛋白质是代谢蛋白和保护蛋白(60%),而麦胶蛋白和谷蛋白组分主要由储存蛋白组成(≥58%)。通过与面粉相比,面包样品中所含蛋白质的差异丰度分析,观察到特定的麦胶蛋白和谷蛋白参与面筋聚合和网络形成。结果显示,82种蛋白的浓度发生了显著变化,其中包括25种面筋蛋白。总的来说,蛋白丰度响应加工的变化表明谷蛋白通过SS和非SS交联参与谷蛋白网络的形成,大多数麦胶蛋白通过非共价键参与谷蛋白网络的形成。HPLC分析结果表明,ELISA法检测麦胶蛋白/面筋的可提取性降低与烘焙食品中面筋的可提取性降低有关,尤其是面筋蛋白部分。LC-MS/MS分析显示,在谷蛋白组分中存在相当数量的麦胶蛋白,ELISA对麦胶蛋白敏感。我们的发现对于更好地理解食品加工的影响和检测加工食品中的麸质很重要。此外,特定的面筋蛋白被确定有助于面筋网络的形成,从而影响面包的制作质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Influence of baking conditions on the detection and composition of gluten

Gluten network formation during processing plays a crucial role in determining the functional and quality aspects of wheat-based products. However, the underlying mechanism of cross-linking is not fully understood due to the complexity of the wheat proteome. Conformational changes of gluten proteins during processing of wheat flour also affect gluten analysis, which is important for determining a gluten-free status of food products. This study aimed to investigate the influence of processing on the immunochemical detection of gluten proteins as well as on the qualitative and quantitative protein composition of wheat-flour based products.

Different wheat flour-based and incurred baked goods (bread, crispbread, pretzel) made from one dough were characterized using immunological, chromatographic, gel- and mass spectrometry-based methods. The samples were considered to reflect different degrees of processing (heat, alkali treatment) and ranked according to an increasing degree of processing as follows: flour, dough, bread crumb, pretzel crumb, crispbread, bread crust, pretzel crust.

Different extraction protocols, including a modified Osborne fractionation, in combination with RP- and GP-HPLC analysis were employed to determine the protein recovery and solubility properties of the wheat proteins in the samples. Protein recovery referred to the protein content analysed relative to the total crude protein content. The results showed that the protein recovery decreased in the processed samples as the degree of food processing increased. For example, the protein recovery in dough was 90%, while in baked goods without alkali treatment, it ranged from 75% to 83%, and with alkali treatment (pretzel crust), it ranged from 58% to 61%. Proteome profiling using LC-MS/MS identified a total of 1488 peptides assigned to 93 protein groups. The ALGL fractions contained 71 protein groups, the gliadin fractions contained 27 protein groups, and the glutenin fractions contained 47 protein groups. Only 16 protein groups were found in all fractions. The majority of proteins in the ALGL fractions were meta-bolic and protective proteins (60%), while the gliadin and glutenin fractions were predominantly composed of storage proteins (≥ 58 %).

The involvement of specific gliadins and glutenins in gluten polymerization and network formation was observed through differential abundance analysis of proteins contained in the fractions of the bread samples compared to the flour. It revealed significant changes in the concentrations of 82 proteins, including 25 gluten proteins. In general, the changes of protein abundances in response to processing showed that glutenins are involved in gluten network formation via SS and non-SS crosslinks and most gliadins rather via non covalent bonds.

The results of the HPLC analyses related the reduced detectability of gliadin/gluten by ELISA to a decreased extractability of gluten, especially the glutenin fractions, from the baked goods. The LC-MS/MS analyses showed the presence of a considerable amount of gliadins, to which ELISA is sensitive, in the glutenin fractions.

Our findings are important for a better understanding of the influence of food processing and the detection of gluten in processed food. Moreover, specific gluten proteins were identified that contribute to gluten network formation and, consequently, bread-making quality.

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