ReviewChinese medicine2026
Application of biosensors in research of traditional Chinese medicine: a systematic review.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.