Global characterization strategy for chemical constituent of traditional Chinese medicine formulas based on online comprehensive 2DLC-Q-TOF-MS/MS combined with deep learning clustering driven dual-mode acquisition: A case study of Qishen Yiqi Dropping Pills.
- DOI
- 10.1016/j.chroma.2026.467401
- Published
- 2026 Aug 29
- Container
- Journal of chromatography. A
- Publisher
- Not recorded
- Open access
- unknown
Credibility signals
limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- cautionDOI registered: No matching Crossref record was present in this response.
- cautionDOI resolves: No matching Crossref record was present in this response.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty.
Cite this work
BibTeX
@article{allodium:10.1016/j.chroma.2026.467401,
title = {Global characterization strategy for chemical constituent of traditional Chinese medicine formulas based on online comprehensive 2DLC-Q-TOF-MS/MS combined with deep learning clustering driven dual-mode acquisition: A case study of Qishen Yiqi Dropping Pills.},
author = {Liu Y and Yang M and Qin H and Wen J and Liu P and Wang X and Du K and Chang Y},
year = {2026},
journal = {Journal of chromatography. A},
doi = {10.1016/j.chroma.2026.467401},
url = {https://doi.org/10.1016/j.chroma.2026.467401}
}RIS
TY - JOUR TI - Global characterization strategy for chemical constituent of traditional Chinese medicine formulas based on online comprehensive 2DLC-Q-TOF-MS/MS combined with deep learning clustering driven dual-mode acquisition: A case study of Qishen Yiqi Dropping Pills. AU - Liu Y AU - Yang M AU - Qin H AU - Wen J AU - Liu P AU - Wang X AU - Du K AU - Chang Y PY - 2026 JO - Journal of chromatography. A DO - 10.1016/j.chroma.2026.467401 UR - https://doi.org/10.1016/j.chroma.2026.467401 ER -
APA
Y, L., M, Y., H, Q., J, W., P, L., X, W., K, D., & Y, C. (2026). Global characterization strategy for chemical constituent of traditional Chinese medicine formulas based on online comprehensive 2DLC-Q-TOF-MS/MS combined with deep learning clustering driven dual-mode acquisition: A case study of Qishen Yiqi Dropping Pills.. Journal of chromatography. A. https://doi.org/10.1016/j.chroma.2026.467401
Source records
- pubmed · retrieved 2026-09-25T05:07:56.912Z