Evidence map›Paper›PMID 33430914›Full record

ArticleChinese medicine2021

Fingerprint analysis of phenolic acid extract of Salvia miltiorrhiza by digital reference standard analyzer with one or two reference standards.

Qingjun Wang, Xinlan Yu, Lei Sun, Runtao Tian, Huaizhen He, Sicen Wang, Shuangcheng Ma

Abstract read
In one paragraph

Article in Chinese medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
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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

7 authors.

Qingjun WangNational Institutes for Food and Drug Control, Beijing, China.
Xinlan YuXinjiang Institute for Drug Control, Urumqi, China.
Lei SunNational Institutes for Food and Drug Control, Beijing, China. dasunlei@sina.com.
Runtao TianChemmind Technologies Co., Ltd, Beijing, China.
Huaizhen HeXi'an Jiaotong University, School of Medicine, Xi'an, China.
Sicen WangXi'an Jiaotong University, School of Medicine, Xi'an, China.
Shuangcheng MaNational Institutes for Food and Drug Control, Beijing, China. masc@nifdc.org.cn.

Funding

National Natural Science Foundation of China 81303214
6 · The paper itself

Abstract

backgroundFingerprint analysis and simultaneous multi-components determination are crucial for the holistic quality control of traditional Chinese medicines (TCMs). Yet, reference standards (RS) are often commercially unavailable and with other shortages, which severely impede the application of these technologies.

methodsA digital reference standard (DRS) strategy and the corresponding software called DRS analyzer, which supports chromatographic algorithms, spectrum algorithms, and the combination of these algorithms, was developed. The extensive function also enabled the DRS analyzer to recommend the chromatographic column based on big data.

resultsVarious quality control methods of fingerprints of 11 compounds in polyphenolic acid extract of Salvia miltiorrhiza (S. miltiorrhiza) were developed based on DRS analyzer, involving relative retention time (RRT) method, linear calibration using two reference substances (LCTRS) technique, RRT combined with Photon Diode Array (PDA) method, LCTRS combined with PDA method. Additionally, the column database of samples was established. Finally, our data demonstrated that the DRS analyzer could accurately identify 11 compounds of the samples, using only one or two physical RSs.

conclusionsThe DRS strategy is an automated, intelligent, objective, accurate, eco-friendly, universal, sharing, and promising method for overall quality control of TCMs that requires the usage of fewer RSs.

Indexed as

FingerprintsLinear calibration using two reference substances (LCTRS)Relative retention time (RRT)Substitute reference standards, digital reference standard (DRS)

Identifiers

PMID33430914
PMCPMC7798244

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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.