Evidence map›Paper›PMID 36118935›Full record

ArticleChinese herbal medicines2021

A strategy for rapid discovery of traceable chemical markers in herbal products using MZmine 2 data processing toolbox: A case of Jing Liqueur.

Jing Zhou, Feng-Jie Liu, Xin-Xin Li, Ping Li, Hua Yang, Yuan-Cai Liu, Yan-He Chen, Chao-Dan Wei, Hui-Jun Li

Open access · goldAbstract read
In one paragraph

Article in Chinese herbal medicines, 2021. 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
0.9field-weighted citation impact, top 27% of its field
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, 13 citations in OpenAlex.

  1. 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

9 authors at 1 institution in 1 country.

Jing ZhouState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Feng-Jie LiuState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Xin-Xin LiState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Ping LiState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Hua YangState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
Yuan-Cai LiuHubei Provincial Key Laboratory for Quality and Safety of Traditional Chinese Medicine Health Food, Jing Brand Co., Ltd., Daye 435100, China.
Yan-He ChenHubei Provincial Key Laboratory for Quality and Safety of Traditional Chinese Medicine Health Food, Jing Brand Co., Ltd., Daye 435100, China.
Chao-Dan WeiHubei Provincial Key Laboratory for Quality and Safety of Traditional Chinese Medicine Health Food, Jing Brand Co., Ltd., Daye 435100, China.
Hui-Jun LiState Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing 210009, China.
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The quality evaluation of herbal products remains a big challenge. Traceable markers are the core concept of the authentication of herbal products. However, the discovery of traceable markers is labor-intensive and time-consuming. The aim of this study is to develop a convenient approach to rapidly screen the traceable markers for herbal product authentication. Methods: Commercial Jing Liqueur and its 22 species of herbal ingredients were analyzed using HPLC-QTOF-MS and GC-MS to characterize nonvolatile and volatile chemicals. The acquired data were imported into MZmine 2 software for mass detection, chromatogram building, deconvolution and alignment. The aligned data were exported into a csv file and then traceable markers were selected using the built-in filter function in Excel. Finally, the traceable markers were identified by searching against online databases or publications, some of which were confirmed by reference standards. Results: A total of 288 chemical features transferred from herbal materials to Jing Liqueur product were rapidly screened out. Among them, 52 markers detected by HPLC-QTOF-MS were annotated, while nine volatile markers detected by GC-MS were annotated. Moreover, 30 of these markers were confirmed by comparing with reference standards. A chemical fingerprint consisting of traceable markers was finally generated to ensure the authentication and quality consistency of Jing Liqueur. Conclusion: A strategy for rapid discovery of traceable markers in herbal products using MZmine 2 software was developed.

Indexed as

GC–MSherbal productsHPLC-QTOF-MSJing LiqueurMZmine 2traceable markers

Identifiers

PMID36118935
PMCPMC9476759
OpenAlexW3170633473

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.