Qihang Xu, Ying Guo, Gang Niu, Heping Wu, Frederic Coulon, Zhugen Yang
{"title":"Advances in Biosensor Technology for Illicit Drug Detection Enable Effective Wastewater Surveillance","authors":"Qihang Xu, Ying Guo, Gang Niu, Heping Wu, Frederic Coulon, Zhugen Yang","doi":"10.1021/cbe.4c00188","DOIUrl":null,"url":null,"abstract":"<p>Drug abuse has been a global public\r\nhealth challenge, requiring\r\nrobust and timely strategies for monitoring drug consumption at the\r\ncommunity level. Wastewater-based epidemiology (WBE) offers population-scale\r\ninsights by analyzing drug biomarkers in sewage, yet conventional\r\nanalytical methods can be time-consuming and resource-intensive. Biosensor\r\ntechnology is rapidly emerging as a promising tool for detecting illicit\r\ndrugs in complex wastewater matrices, offering significant advantages\r\nin speed, specificity, and cost-effectiveness over conventional analytical\r\nmethods. This review explores the emerging role of biosensor technology\r\nin enhancing WBE for illicit drug detection. We first outline the\r\nprinciples of WBE and discuss conventional analytical techniques used\r\nin wastewater drug surveillance, noting their limitations in cost,\r\nthroughput, and real-time applicability. Next, we examine key biosensor\r\nplatforms encompassing electrochemical, optical, and other transducer-based\r\ndesigns and highlight their capacity to rapidly and selectively detect\r\ntarget drugs or metabolites in complex wastewater matrics. We then\r\naddress the principal challenges of biosensor deployment in WBE, including\r\nsample matrix interference, sensor fouling, and the need for calibration\r\nand standardization. Finally, we identify critical research gaps,\r\nsuch as further miniaturization, multiplexed detection, and integration\r\nwith Internet of Things (IoT) and big data analytics. By merging biosensor\r\ninnovation with WBE, this multidisciplinary approach promises more\r\nefficient, adaptable, and community-focused solutions for tracking\r\nillicit drug trends and informing public health policy.</p>","PeriodicalId":100230,"journal":{"name":"Chem & Bio Engineering","volume":"3 2","pages":"87–103"},"PeriodicalIF":8.4000,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chem & Bio Engineering","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/cbe.4c00188","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/21 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Drug abuse has been a global public
health challenge, requiring
robust and timely strategies for monitoring drug consumption at the
community level. Wastewater-based epidemiology (WBE) offers population-scale
insights by analyzing drug biomarkers in sewage, yet conventional
analytical methods can be time-consuming and resource-intensive. Biosensor
technology is rapidly emerging as a promising tool for detecting illicit
drugs in complex wastewater matrices, offering significant advantages
in speed, specificity, and cost-effectiveness over conventional analytical
methods. This review explores the emerging role of biosensor technology
in enhancing WBE for illicit drug detection. We first outline the
principles of WBE and discuss conventional analytical techniques used
in wastewater drug surveillance, noting their limitations in cost,
throughput, and real-time applicability. Next, we examine key biosensor
platforms encompassing electrochemical, optical, and other transducer-based
designs and highlight their capacity to rapidly and selectively detect
target drugs or metabolites in complex wastewater matrics. We then
address the principal challenges of biosensor deployment in WBE, including
sample matrix interference, sensor fouling, and the need for calibration
and standardization. Finally, we identify critical research gaps,
such as further miniaturization, multiplexed detection, and integration
with Internet of Things (IoT) and big data analytics. By merging biosensor
innovation with WBE, this multidisciplinary approach promises more
efficient, adaptable, and community-focused solutions for tracking
illicit drug trends and informing public health policy.