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Updated: Sep 13, 2026

Multimodal Study of Murine Cardiovascular Remodeling: Four-Dimensional Ultrasound and Mass Spectrometry Imaging
Published on: January 10, 2025
Spatiotemporal remodeling of human milk fat globule compositional mapping revealed by plasmonic chemical imaging
Yuhan Chu1, Xiaohan Ren2, Yaowen Xing3
1State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Pharmacy, Harbin Medical University, Heilongjiang, 150081, PR China; Center for Endemic Disease Control, Chinese Center for Disease Control and Prevention, Harbin Medical University, Harbin, PR China; NHC Key Laboratory of Etiology and Epidemiology (Harbin Medical University), Heilongjiang Provincial Key Laboratory of Trace Elements and Human Health, Key Laboratory of Etiology and Epidemiology, Education Bureau of Heilongjiang Province, PR China; Joint Key Laboratory of Endemic Diseases (Harbin Medical University, Guizhou Medical University, Xi'an Jiaotong University), PR China; Center for Chronic Disease Prevention and Control, Harbin Medical University, Harbin, PR China.
Abstract:
The structure and composition of the human milk fat globules and their surrounding membrane (MFGM) are key determinants of their biological functions, yet how these architectures remodel across lactation has remained largely uncharted. Traditional MFGM analysis methods are hampered by the MFGM nanoscale dimensions and inherent heterogeneity, and the spatial information loss intrinsic to bulk approaches. Here, we present a plasmonic chemical imaging strategy using a bimetallic Ag@Au nanopillar substrate coupled to surface-enhanced Raman scattering (SERS) imaging for spatially resolved mapping of individual MFGs in minimally processed human milk. Across samples collected at different lactation stages, we observed reproducible stage-associated spatial partitioning of nutrient-related spectral features. Oligosaccharide-associated signals were found enriched at the globule periphery, whereas protein-associated signals were concentrated toward the globule core. Complementary compositional analyses showed lactation stage-dependent remodeling of the milk matrix. Computational classification further indicated that spatially resolved spectral signatures contained sufficient information for distinguishing between different lactation stages. This study presents a microstructural framework for studying a dynamic food system, such as human milk, offering a foundation for future benchmarking of infant formula design.
