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Updated: Oct 25, 2026
Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
Published on: March 17, 2023
Multiple Pickering Emulsions Enable Highly Efficient Interfacial Catalysis and Extracellular Vesicle Classification
Yaguang Yin1, Cheng Wang1, Honglin Liu1
1Joint Research Center for Food Derived Functional Factors and Synthetic Biology of IHM, Anhui Provincial International Science and Technology Cooperation Base for Major Metabolic Diseases and Nutritional Interventions, China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-Process of Ministry of Education, Hefei University of Technology, Hefei230601, P. R. China.
Abstract:
Multiple Pickering emulsions show great potential in catalysis and bioanalysis but remain limited by insufficient structural stability, unclear interfacial mechanisms, and limited functional integration. Here, a stable water-in-oil-in-water multicompartment Pickering emulsion was constructed through the synergistic coassembly of polyvinylpyrrolidone-modified gold nanoparticles (Au@PVP) and bovine serum albumin (BSA). The suitable wettability of Au@PVP, together with BSA adsorption and reorganization, promoted the formation of a dense composite nanoparticle film at the oil-water interface, enabling long-term emulsion stability. Using the BSA-catalyzed condensation of chalcone and malononitrile as a model reaction, in situ surface-enhanced Raman spectroscopy (SERS) revealed significantly enhanced interfacial reaction kinetics compared with those in the monolayer emulsion system, with the target product yield increasing by approximately 6.8-fold after 24 h. Fourier transform infrared spectroscopy independently confirmed the kinetic trend. For bioanalysis, replacing BSA with cell-secreted components generated functional emulsion substrates with highly reproducible SERS signals. Combined with feed-forward neural network analysis, the platform achieved classification accuracies exceeding 95% for three types of extracellular vesicles. This multicompartment emulsion platform integrates interfacial engineering, reaction acceleration, real-time monitoring, and intelligent biosensing, providing a versatile strategy for organic catalysis, biomarker detection, and liquid biopsy.
