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杂交链式反应策略在生物传感器中的最新发展。

The Recent Development of Hybridization Chain Reaction Strategies in Biosensors.

机构信息

West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.

Research Center of Analytical Instrumentation, Key Laboratory of Synthetic and Natural Functional Molecule Chemistry of Ministry of Education, College of Chemistry & Materials Science, Northwest University, Xi'an 710069, China.

出版信息

ACS Sens. 2020 Oct 23;5(10):2977-3000. doi: 10.1021/acssensors.0c01453. Epub 2020 Oct 1.

Abstract

With the continuous development of biosensors, researchers have focused increasing attention on various signal amplification strategies to pursue superior performance for more applications. In comparison with other signal amplification strategies, hybridization chain reaction (HCR) as a powerful signal amplification technique shows its certain charm owing to nonenzymatic and isothermal features. Recently, on the basis of conventional HCR, this technique has been developed and improved rapidly, and a variety of HCR-based biosensors with excellent performance have been reported. Herein, we present a systematic and critical review on the research progress of HCR in biosensors in the last five years, including the newly developed HCR strategies such as multibranched HCR, migration HCR, localized HCR, in situ HCR, netlike HCR, and so on, as well as the combination strategies of HCR with isothermal signal amplification techniques, nanomaterials, and functional DNA molecules. By illustrating some representative works, we also summarize the advantage and challenge of HCR in biosensors, and offer a deep discussion of the latest progress and future development trends of HCR in biosensors.

摘要

随着生物传感器的不断发展,研究人员越来越关注各种信号放大策略,以追求更广泛的应用。与其他信号放大策略相比,杂交链式反应(HCR)作为一种强大的信号放大技术,由于其非酶促和等温的特点,显示出了一定的魅力。最近,在传统 HCR 的基础上,该技术得到了快速发展和改进,并且报道了多种具有优异性能的基于 HCR 的生物传感器。本文对过去五年中 HCR 在生物传感器中的研究进展进行了系统的批判性综述,包括新开发的 HCR 策略,如多分支 HCR、迁移 HCR、局部化 HCR、原位 HCR、网状 HCR 等,以及 HCR 与等温信号放大技术、纳米材料和功能 DNA 分子的结合策略。通过举例说明一些有代表性的工作,我们还总结了 HCR 在生物传感器中的优势和挑战,并对 HCR 在生物传感器中的最新进展和未来发展趋势进行了深入讨论。

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