Elucidating protein–lipid microstructure and interactions in hybrid processed cheeses using synchrotron macro ATR-FTIR microspectroscopy

IF 7.1 3区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY
Food Structure-Netherlands Pub Date : 2026-01-01 Epub Date: 2026-03-07 DOI:10.1016/j.foostr.2026.100511
Di Lu , Jitraporn Vongsvivut , Annaleise R. Klein , Cushla McGoverin , Mark Waterland , Yi Zheng , Alejandra Acevedo–Fani , Debashree Roy , Harjinder Singh , Aiqian Ye
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引用次数: 0

Abstract

Herein, synchrotron-based Fourier-transform infrared (S-FTIR) microspectroscopy was used to investigate the spatial distribution and molecular interactions within hybrid processed cheeses (HPCs) that contain casein and plant proteins. Unsupervised hierarchical cluster analysis (HCA) and k-means clustering provided consistent spatial differentiation, effectively separating the regions that were dominated by plant protein from those dominated by casein. Spectral analysis revealed protein–protein and protein–lipid interactions based on the type of plant protein used across plant-based cheeses and hybrid formulations. Cheese samples that contained only hemp protein isolate (HPI) were dominated by β-sheets (50%) and β-turns (21%), while mung bean protein isolate (MPI)-based cheeses exhibited considerable α-helix (35%) and β-sheet (48%) contents. In HPI–casein hybrid cheeses, hydrogen bonds predominated, with the amide II mode of proteins as the key discriminating component. By contrast, the amide I secondary protein structure was the primary marker that distinguished MPI from casein in MPI–casein cheeses. Increasing the casein content reduced plant protein aggregation and created a more heterogeneous environment, thereby supporting a flexible and disordered protein network. Furthermore, the S-FTIR map of lipids indicated that coconut oil was preferentially associated with casein rather than with plant proteins. Overall, these results highlight the role of S-FTIR microspectroscopy in resolving compositional and molecular-level interactions in hybrid cheese matrices.
利用同步加速器宏ATR-FTIR显微光谱分析混合加工奶酪中的蛋白质-脂质微观结构和相互作用
本文采用同步加速器傅立叶变换红外(S-FTIR)微光谱技术研究了含有酪蛋白和植物蛋白的混合加工奶酪(HPCs)的空间分布和分子相互作用。无监督层次聚类分析(HCA)和k-means聚类提供了一致的空间分异,有效地分离了以植物蛋白为主的区域和酪蛋白为主的区域。光谱分析揭示了基于植物蛋白类型的蛋白质-蛋白质和蛋白质-脂质相互作用,这些植物蛋白用于基于植物的奶酪和杂交配方。仅含大麻分离蛋白(HPI)的奶酪样品中β-螺旋(50%)和β-旋(21%)含量较多,而含绿豆分离蛋白(MPI)的奶酪样品中α-螺旋(35%)和β-旋(48%)含量较多。在hpi -酪蛋白杂交奶酪中,氢键占主导地位,蛋白质的酰胺II模式是关键的区分成分。相比之下,酰胺I二级蛋白结构是MPI -酪蛋白奶酪中区分MPI和酪蛋白的主要标志。酪蛋白含量的增加减少了植物蛋白的聚集,创造了一个更加异质的环境,从而支持了一个灵活和无序的蛋白质网络。此外,脂质的S-FTIR图谱表明,椰子油与酪蛋白的关系比与植物蛋白的关系更密切。总的来说,这些结果突出了S-FTIR微光谱在解决混合奶酪基质中成分和分子水平相互作用方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Food Structure-Netherlands
Food Structure-Netherlands Chemical Engineering-Bioengineering
CiteScore
7.20
自引率
0.00%
发文量
48
期刊介绍: Food Structure is the premier international forum devoted to the publication of high-quality original research on food structure. The focus of this journal is on food structure in the context of its relationship with molecular composition, processing and macroscopic properties (e.g., shelf stability, sensory properties, etc.). Manuscripts that only report qualitative findings and micrographs and that lack sound hypothesis-driven, quantitative structure-function research are not accepted. Significance of the research findings for the food science community and/or industry must also be highlighted.
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