Siqian Liu, Benfeng Xu, Chongyang Li, Yanlin Ren, Hao Gan, Shi Kuang*, Chunyang Lei and Zhou Nie*,
{"title":"Advancements and Prospects in DNA-Based Bioanalytical Technology for Environmental Toxicant Detection","authors":"Siqian Liu, Benfeng Xu, Chongyang Li, Yanlin Ren, Hao Gan, Shi Kuang*, Chunyang Lei and Zhou Nie*, ","doi":"10.1021/jacsau.5c0039810.1021/jacsau.5c00398","DOIUrl":null,"url":null,"abstract":"<p >The mounting global crisis of environmental pollution necessitates transformative advances in analytical technologies that combine speed, precision, and field applicability. To meet this demand, next-generation analytical platforms must achieve seamless integration of two critical features: molecular-level recognition fidelity and reliable signal transduction. DNA nanotechnology leverages sequence-specific molecular recognition and programmable self-assembly to enable both natural (e.g., riboswitches) and synthetic (e.g., aptamers, DNAzymes) biosensing modalities. The structural programmability and predictable Watson–Crick base pairing of DNA provide a modular framework for designing next-generation biosensors with tunable specificity and sensitivity. When integrated with portable point-of-care (POC) platforms, these biosensing systems enable field-deployable, rapid, and operator-agnostic detection of toxicants across diverse matrixes, making them highly suitable for complex environmental monitoring tasks. This perspective highlights the potential and strategic approaches for constructing biosensors utilizing DNA-based recognition elements and structural materials. It explores the progress in field-deployable DNA-based biosensors, which are revolutionizing the on-site detection of environmental toxicants. We also discuss the current challenges and future perspectives for DNA-based biosensing systems in environmental pollution monitoring, offering insights into their broader applications.</p>","PeriodicalId":94060,"journal":{"name":"JACS Au","volume":"5 6","pages":"2443–2462 2443–2462"},"PeriodicalIF":8.5000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/jacsau.5c00398","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JACS Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/jacsau.5c00398","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The mounting global crisis of environmental pollution necessitates transformative advances in analytical technologies that combine speed, precision, and field applicability. To meet this demand, next-generation analytical platforms must achieve seamless integration of two critical features: molecular-level recognition fidelity and reliable signal transduction. DNA nanotechnology leverages sequence-specific molecular recognition and programmable self-assembly to enable both natural (e.g., riboswitches) and synthetic (e.g., aptamers, DNAzymes) biosensing modalities. The structural programmability and predictable Watson–Crick base pairing of DNA provide a modular framework for designing next-generation biosensors with tunable specificity and sensitivity. When integrated with portable point-of-care (POC) platforms, these biosensing systems enable field-deployable, rapid, and operator-agnostic detection of toxicants across diverse matrixes, making them highly suitable for complex environmental monitoring tasks. This perspective highlights the potential and strategic approaches for constructing biosensors utilizing DNA-based recognition elements and structural materials. It explores the progress in field-deployable DNA-based biosensors, which are revolutionizing the on-site detection of environmental toxicants. We also discuss the current challenges and future perspectives for DNA-based biosensing systems in environmental pollution monitoring, offering insights into their broader applications.