Evidence map›Paper›PMID 42260644›Full record

ReviewChinese medicine2026

Application of biosensors in research of traditional Chinese medicine: a systematic review.

Shengnan Du, Fan Zhang, Xing Yan, Liping Huang, Zhixin Wang

Abstract readReview
In one paragraph

Review in Chinese medicine, 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

5 authors.

Shengnan DuJiangxi Province Key Laboratory of Traditional Chinese Medicine Pharmacology, Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang, 330115, China.
Fan ZhangJiangxi Province Key Laboratory of Traditional Chinese Medicine Pharmacology, Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang, 330115, China.
Xing YanJiangxi Province Key Laboratory of Traditional Chinese Medicine Pharmacology, Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang, 330115, China. yanxing@itcmhi.ac.cn.
Liping HuangSchool of Pharmacy, Jiangxi University of Chinese Medicine, Nanchang, 330004, China. jxnchlp@163.com.
Zhixin WangJiangxi Province Key Laboratory of Traditional Chinese Medicine Pharmacology, Institute of Traditional Chinese Medicine Health Industry, China Academy of Chinese Medical Sciences, Nanchang, 330115, China. wangzhixin@itcmhi.ac.cn.

Funding

Jiangxi "Ganpo Talent" Innovation Leader Program (Youth) gpyc20240026Scientific Research Foundation for the Introduction of Talent QD-2024009BThe Fundamental Research Funds for the Central Public Welfare Research Institutes ZZ17-ND-12
6 · The paper itself

Abstract

As advanced analytical tools, biosensors combine biological recognition elements with physicochemical transducers, enabling the sensitive and selective detection of target analytes. As research in traditional Chinese medicine (TCM) continues to deepen and shift toward holistic and functional evaluation, biosensors offer significant promise due to their high sensitivity, strong specificity, high throughput, and rapid response. They are expected to serve as an effective bridge linking the chemical constituents of TCM with their pharmacological activities. This review systematically searched the databases including Web of Science, PubMed, Google Scholar and China National Knowledge Infrastructure (CNKI) for literature published from 2001 to 2025. The principles, classifications, advantages, and diverse applications of biosensors in TCM research are summarized, encompassing areas such as herb variety identification, active component analysis and screening, target exploration, drug-target affinity determination, quality control, and safety evaluation. Recent technological advances are highlighted, including innovations in development of novel biosensors, microtechnology and integration, and intelligent data processing. Current limitations and potential countermeasures for overcoming them are also discussed. Finally, the prospects and future research directions of biosensors in TCM research are proposed, emphasizing its potential to drive innovation and accelerate the modernization of TCM industry.Affiliations: Journal instruction requires a city and country for affiliations; however, these are missing in affiliation 3. Please verify if the provided city and country are correct and amend if necessary. The manuscript has been revised. Thank you for the reminder.

Indexed as

Active componentBiosensorInterdisciplinary collaborationTarget of actionTCM

Identifiers

PMID42260644
PMCPMC13245035

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.