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用于生物医学的编码微载体。

Encoding microcarriers for biomedicine.

作者信息

Wei Xiaowei, Shang Yixuan, Zhu Yefei, Gu Zhuxiao, Zhang Dagan

机构信息

Laboratory Medicine Center The Second Affiliated Hospital of Nanjing Medical University Nanjing China.

Department of Clinical Laboratory Institute of Translational Medicine The Affiliated Drum Tower Hospital of Nanjing University Medical School Nanjing China.

出版信息

Smart Med. 2023 Feb 14;2(1):e20220009. doi: 10.1002/SMMD.20220009. eCollection 2023 Feb.

DOI:10.1002/SMMD.20220009
PMID:39188559
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11235794/
Abstract

High throughput biological analysis has become an important topic in modern biomedical research and clinical diagnosis. The flow encoding scheme based on the encoding microcarriers provides a feasible strategy for the multiplexed biological analysis. Different encoding characteristics invest the microcarriers with different encoding mechanisms. Biosensor analysis, drug screening, cell culture, and the construction and evaluation of bionic organ chips can be realized by decoding the microcarriers and quantifying the detection signal intensity. In this review, the encoding strategy of microcarriers was divided into the optical and non-optical encoding approaches according to their encoding elements, and the research progress of the microcarrier encoding strategy was elaborated. Finally, we summarized the biomedical applications and predicted their future prospects.

摘要

高通量生物分析已成为现代生物医学研究和临床诊断中的一个重要课题。基于编码微载体的流动编码方案为多重生物分析提供了一种可行的策略。不同的编码特性赋予微载体不同的编码机制。通过对微载体进行解码并量化检测信号强度,可以实现生物传感器分析、药物筛选、细胞培养以及仿生器官芯片的构建与评估。在本综述中,根据微载体的编码元件,将其编码策略分为光学编码方法和非光学编码方法,并阐述了微载体编码策略的研究进展。最后,我们总结了其在生物医学领域的应用并预测了其未来前景。

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