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.
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.