Evidence map›Paper›PMID 40734910›Full record

ArticleChinese herbal medicines2025

Unveiling secrets of traditional Chinese medicine: Cutting-edge techniques in component analysis.

Tingting Zhou

Abstract read
In one paragraph

Article in Chinese herbal medicines, 2025. 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. Article
  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

1 author.

Tingting ZhouDepartment of Pharmaceutical Analysis, School of Pharmacy, Second Military Medical University, Shanghai 200433, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical component analysis is a critical challenge in Chinese herbal medicine research, involving the qualitative and quantitative identification of complex constituents in traditional Chinese medicine (TCM). However, traditional analytical methods are insufficient for efficient and comprehensive analysis of complex composition of TCM. Limitations exist in sample preparation, instrumental technology, data processing, and activity-related quality marker research. Recent advancements have significantly improved analytical precision, enabling more comprehensive profiling of TCM components. New pretreatment methods improve extraction efficiency and detection sensitivity, while novel instrumental technologies, such as mass spectrometry imaging, preserve spatial information lost in homogenization. AI enhances data interpretation, improving accuracy and efficiency. Online activity analysis links chemical composition with bioactivity, overcoming the limitations of purely chemical profiling and enabling a more comprehensive evaluation of TCM efficacy. This perspective provides an overview of the development trends in component analysis, aiming to advance the field and support TCM modernization.

Indexed as

data processinginstrumental technologyonline activity analysispretreatment methodsTCM component analysis

Identifiers

PMID40734910
PMCPMC12301909

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.