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Updated: Aug 5, 2026

Facile Preparation of Internally Self-assembled Lipid Particles Stabilized by Carbon Nanotubes
Published on: February 19, 2016
Design strategies of lipid nanovehicles for controlled functional component release in food systems
Qiyuan Jing1, Hongbin Pu1, Da-Wen Sun2
1School of Food Science and Engineering, South China University of Technology, Guangzhou 510641, China; Academy of Contemporary Food Engineering, South China University of Technology, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China; Engineering and Technological Research Centre of Guangdong Province on Intelligent Sensing and Process Control of Cold Chain Foods, & Guangdong Province Engineering Laboratory for Intelligent Cold Chain Logistics Equipment for Agricultural Products, Guangzhou Higher Education Mega Centre, Guangzhou 510006, China.
Abstract:
The oral bioavailability of food bioactives is often limited by poor stability, poor solubility, and limited control over release, restricting their use in functional foods. Lipid nanovehicles (LNVs) present a promising strategy to overcome these limitations. However, their application in real food products is challenged by processing instability, variable digestive behavior, and insufficient matrix-specific validation. Addressing these barriers requires a systematic understanding of how LNV design influences performance in complex food matrices. This review therefore establishes a structure-guided design framework linking LNV composition, interfacial architecture, gastrointestinal fate, and compatibility with food matrices. Current evidence indicates that lipid chain length, degree of unsaturation, crystallinity, and interfacial architecture critically affect colloidal stability, digestion kinetics, bioactive release, and bioaccessibility. Practical strategies, including surfactant selection, biomimetic membranes, multilayer interfacial coatings, and surface functionalization, have been shown to enhance stability, enable targeted release, and improve matrix compatibility. Nonetheless, challenges remain in translating findings from model systems to complex foods, ensuring long-term shelf stability, maintaining vehicle integrity, and mitigating sensory impacts. By clarifying these design principles and evaluating matrix-dependent challenges, this review provides guidance for the rational development of structure-engineered LNVs for real food systems, enabling tunable functionality and potential commercial applications.
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