Evidence map›Paper›PMID 41777308›Full record

ReviewChem & bio engineering2026

Advances in Biosensor Technology for Illicit Drug Detection Enable Effective Wastewater Surveillance.

Qihang Xu, Ying Guo, Gang Niu, Heping Wu, Frederic Coulon, Zhugen Yang

Abstract readReview
In one paragraph

Review in Chem & bio engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qihang XuFaculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, U.K.ORCID https://orcid.org/0000-0003-0760-9436
Ying GuoFaculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, U.K.
Gang NiuSchool of Electronic Science and Engineering, Key Laboratory of the Ministry of Education & International Center for Dielectric Research, Electronic Materials Research Laboratory, Xian Jiaotong University, Xian 710049, China.
Heping WuSchool of Electronic Science and Engineering, Key Laboratory of the Ministry of Education & International Center for Dielectric Research, Electronic Materials Research Laboratory, Xian Jiaotong University, Xian 710049, China.ORCID https://orcid.org/0000-0002-8587-4035
Frederic CoulonFaculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, U.K.ORCID https://orcid.org/0000-0002-4384-3222
Zhugen YangFaculty of Engineering and Applied Sciences, Cranfield University, Cranfield MK43 0AL, U.K.ORCID https://orcid.org/0000-0003-4183-8160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

biosensorillicit drugpoint-of-needpublic healthreal-time monitoringwastewater-based epidemiology

Identifiers

PMID41777308
PMCPMC12951243

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.