Evidence map›Paper›PMID 41504302›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Rapid and Direct Detection of Methamphetamine in Biofluids using a MXene-Enabled Electrochemical Sensor.

Ri Wang, Xiaofei Deng, Bo Chen, Jienan Shen, Wei Xu, Yingjie Zhu, Yi Zhang, Hui Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Ri WangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Xiaofei DengShenzhen Key Laboratory of Drug Addiction, the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Bo ChenShenzhen Key Laboratory of Drug Addiction, the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Jienan ShenInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Wei XuFaculty of Life and Health Sciences, Shenzhen University of Advanced Technology, Shenzhen, China.
Yingjie ZhuShenzhen Key Laboratory of Drug Addiction, the Brain Cognition and Brain Disease Institute, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yi ZhangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Hui YangInstitute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-6800-6308

Funding

Ministry of Science and Technology of China 2023YFF0721500National Natural Science Foundation of China 62475279Shenzhen Science and Technology Innovation Commission KCXFZ20230731100901004Shenzhen Science and Technology Innovation Commission ZDSYS20190902093601675Yunnan Technological Innovation Center of Drug Addiction Medicine 202305AK340001
6 · The paper itself

Abstract

Illicit drug abuse presents a global challenge to public health and security, creating an urgent need for reliable detection methods to curb trafficking and mitigate societal harm. Methamphetamine (METH), a highly addictive and widely circulated stimulant, requires urgent monitoring solutions. We introduce an approach for the rapid and direct detection of METH using an electrochemical sensor enhanced with MXene nano-interfaces that operates on the principle of electrochemical oxidation. Theoretical simulations are conducted to elucidate the reaction pathway of METH and to analyze the molecular interactions between METH and the MXene surface, providing key insights into the underlying molecular dynamics. The rich surface functionalities of MXene enable a favorable structural affinity with METH, facilitating enhanced interfacial interactions that promote oxidation kinetics and amplify electrochemical responses. The sensor demonstrates a linear response to METH across a concentration range from 2 ngmL

Indexed as

Biosensing TechniquesBody FluidsElectrochemical TechniquesMethamphetamineSubstance Abuse DetectionAnimalsCentral Nervous System StimulantsHumansIllicit DrugsMolecular Dynamics SimulationNanostructuresNitritesRapid Diagnostic TestsRatsRats, Sprague-DawleySalivaCentral Nervous System StimulantsIllicit DrugsMethamphetamineMXeneNitritesTransition Elementsdrug screeningelectrochemical sensorsmethamphetamineMXenerapid detection

Identifiers

PMID41504302
PMCPMC13073237

What OpenQuestion holds

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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.