用于生物医学的编码微载体

Smart medicine Pub Date : 2023-02-14 eCollection Date: 2023-02-01 DOI:10.1002/SMMD.20220009
Xiaowei Wei, Yixuan Shang, Yefei Zhu, Zhuxiao Gu, Dagan Zhang
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引用次数: 0

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的重要课题。基于微载体编码的流编码方案为多路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波不同的编码机制。通过对微载体的解码和检测信号强度的量化,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和评价。本文将微载流子的编码策略根据其编码要素分为光学编码和非光学编码,并对微载流子编码策略的研究进展进行了阐述。最后,对其在生物医学领域的应用进行了总结和展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Encoding microcarriers for biomedicine.

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.

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