Yang Yongjie, Li Weixuan, Liu Juewen
Department of Food and Biological Sciences, College of Agriculture, Yanbian University, Yanji, 133002, China; Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Department of Chemistry, Waterloo Institute for Nanotechnology, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada.
Anal Chim Acta. 2021 Feb 22;1147:124-143. doi: 10.1016/j.aca.2020.12.056. Epub 2020 Dec 30.
Lead (Pb) is a highly toxic heavy metal of great environmental and health concerns, and interestingly Pb has played important roles in nucleic acids chemistry. Since 2000, using DNA for selective detection of Pb has become a rapidly growing topic in the analytical community. Pb can serve as the most active cofactor for RNA-cleaving DNAzymes including the GR5, 17E and 8-17 DNAzymes. Recently, Pb was found to promote a porphyrin metalation DNAzyme named T30695. In addition, Pb can tightly bind to various G-quadruplex sequences inducing their unique folding and binding to other molecules such as dyes and hemin. The peroxidase-like activity of G-quadruplex/hemin complexes was also used for Pb sensing. In this article, these Pb recognition mechanisms are reviewed from fundamental chemistry to the design of fluorescent, colorimetric, and electrochemical biosensors. In addition, various signal amplification mechanisms such as rolling circle amplification, hairpin hybridization chain reaction and nuclease-assisted methods are coupled to these sensing methods to drive up sensitivity. We mainly cover recent examples published since 2015. In the end, some practical aspects of these sensors and future research opportunities are discussed.
铅(Pb)是一种极具环境和健康风险的剧毒重金属,有趣的是,铅在核酸化学中发挥了重要作用。自2000年以来,利用DNA对铅进行选择性检测已成为分析领域快速发展的一个课题。铅可作为包括GR5、17E和8-17脱氧核酶在内的RNA切割脱氧核酶最活跃的辅助因子。最近,人们发现铅能促进一种名为T30695的卟啉金属化脱氧核酶。此外,铅能与各种G-四链体序列紧密结合,诱导其独特折叠,并与染料和血红素等其他分子结合。G-四链体/血红素复合物的过氧化物酶样活性也被用于铅传感。在本文中,将对这些铅识别机制进行综述,内容涵盖从基础化学到荧光、比色和电化学生物传感器的设计。此外,各种信号放大机制,如滚环扩增、发夹杂交链式反应和核酸酶辅助方法,与这些传感方法相结合以提高灵敏度。我们主要介绍2015年以来发表的最新实例。最后,将讨论这些传感器的一些实际应用方面以及未来的研究机会。