Recent progress in quantitative analysis of self-assembled peptides

Self-assembled peptides have been among the important biomaterials due to its excellent biocompatibility and diverse functions. This review summarizes the techniques for quantitative analysis, including imaging-based quantitative techniques, chromatographic technique, and computational approach. These techniques can facilitate the investigation of the structure, properties, biomedical applications, and even supramolecular assembly processes of self-assembled peptides. The perspective and outlooks of quantitative-analysis techniques for self-assembled peptides are also given in detail.

Abstract:

Self-assembled peptides have been among the important biomaterials due to its excellent biocompatibility and diverse functions. Over the past decades, substantial progress and breakthroughs have been made in designing self-assembled peptides with multifaceted biomedical applications. The techniques for quantitative analysis, including imaging-based quantitative techniques, chromatographic technique and computational approach (molecular dynamics simulation), are becoming powerful tools for exploring the structure, properties, biomedical applications, and even supramolecular assembly processes of self-assembled peptides. However, a comprehensive review concerning these quantitative techniques remains scarce. In this review, recent progress in techniques for quantitative investigation of biostability, cellular uptake, biodistribution, self-assembly behaviors of self-assembled peptide etc., are summarized. Specific applications and roles of these techniques are highlighted in detail. Finally, challenges and outlook in this field are concluded. It is believed that this review will provide technical guidance for researchers in the field of peptide-based materials and pharmaceuticals, and facilitate related research for newcomers in this field.

Author list:

Xiaoyao Cai, Wei Xu, Chunhua Ren, Liping Zhang, Congrou Zhang, Jianfeng Liu*, Cuihong Yang*

How to cite:

X. Cai, W. Xu, C. Ren, L. Zhang, C. Zhang, J. Liu, C. Y. Liu, Exploration 2024, 20230064.
https://doi.org/10.1002/EXP.20230064