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Advances in biosensor technology for illicit drug detection enable effective wastewater surveillance

dc.contributor.authorXu, Qihang
dc.contributor.authorGuo, Ying
dc.contributor.authorNiu, Gang
dc.contributor.authorWu, Heping
dc.contributor.authorCoulon, Frederic
dc.contributor.authorYang, Zhugen
dc.date.accessioned2025-11-21T10:21:20Z
dc.date.available2025-11-21T10:21:20Z
dc.date.freetoread2025-11-21
dc.date.issued2026-02-26
dc.date.pubOnline2025-10-21
dc.description.abstractDrug 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.
dc.description.journalNameChem & Bio Engineering
dc.description.sponsorshipNatural Environment Research Council (NERC)
dc.description.sponsorshipThis work is supported by the UK NERC Fellowship Grant (NE/R013349/2) and the Royal Academy of Engineering Frontier Follow-up Grant (FF\1920\1\36). Z.Y. and Y.G. thank The Leverhulme Trust Research Leaderships Awards (RL-2022-041).
dc.format.extentpp. 87-103
dc.identifier.citationXu Q, Guo Y, Niu, G, et al., (2026) Advances in biosensor technology for illicit drug detection enable effective wastewater surveillance. Chem & Bio Engineering, Volume 3, Issue 2, February 2026, pp. 87-103en_UK
dc.identifier.eissn2836-967X
dc.identifier.elementsID866181
dc.identifier.issn2836-967X
dc.identifier.issueNo2
dc.identifier.paperNocbe.4c00188
dc.identifier.urihttps://doi.org/10.1021/cbe.4c00188
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/24674
dc.identifier.volumeNo3
dc.languageEnglish
dc.language.isoen
dc.publisherAmerican Chemical Society (ACS)en_UK
dc.publisher.urihttps://pubs.acs.org/doi/10.1021/cbe.4c00188
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectillicitdrugen_UK
dc.subjectbiosensoren_UK
dc.subjectpublic healthen_UK
dc.subjectwastewater-basedepidemiologyen_UK
dc.subjectreal-time monitoringen_UK
dc.subjectpoint-of-needen_UK
dc.subject3401 Analytical Chemistryen_UK
dc.subject34 Chemical Sciencesen_UK
dc.subject40 Engineeringen_UK
dc.subject46 Information and Computing Sciencesen_UK
dc.subject4605 Data Management and Data Scienceen_UK
dc.subjectSubstance Misuseen_UK
dc.subjectBioengineeringen_UK
dc.subjectDrug Abuse (NIDA only)en_UK
dc.subject4.1 Discovery and preclinical testing of markers and technologiesen_UK
dc.subject3 Good Health and Well Beingen_UK
dc.titleAdvances in biosensor technology for illicit drug detection enable effective wastewater surveillanceen_UK
dc.typeArticle
dc.type.subtypeReview
dcterms.dateAccepted2025-10-11

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