Evidence map›Paper›PMID 34881156›Full record

Article3 Biotech2021

Ultrafast identification of Pinelliae Rhizoma using colorimetric direct-VPCR.

Rong Chen, Sheng Ding, Yinghua Wei, Jiawen Yu, Ruichao Xu, Xiao Luo, Gang Fan, Hongxiang Yin, Jinhui Bian

Abstract read
In one paragraph

Article in 3 Biotech, 2021. 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
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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

9 authors.

Rong ChenChengdu University of Traditional Chinese Medicine, Chengdu, 611137 People's Republic of China.
Sheng DingNatural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Yinghua WeiNatural Products Research Center, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041 People's Republic of China.
Jiawen YuTaiji Group Chongqing Fuling Pharmaceutical Co, Ltd., Chongqing, 408000 People's Republic of China.
Ruichao XuTaiji Group Chongqing Fuling Pharmaceutical Co, Ltd., Chongqing, 408000 People's Republic of China.
Xiao LuoChengdu Institute for Food and Drug Control, Chengdu, 610000 People's Republic of China.
Gang FanChengdu University of Traditional Chinese Medicine, Chengdu, 611137 People's Republic of China.
Hongxiang YinChengdu University of Traditional Chinese Medicine, Chengdu, 611137 People's Republic of China.
Jinhui BianChengdu University of Traditional Chinese Medicine, Chengdu, 611137 People's Republic of China.ORCID 0000-0001-7025-1903

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the increasing growth of the herbal market, a rapid and easy-to-use system is highly desirable in the high-throughput identification of massive herbal medicine samples. Here, an ultrafast and colorimetric detection system was devised based on simplifying template preparation and a newly developed amplification technique, named colorimetric direct-VPCR. The system was successfully applied to the identification of Pinelliae Rhizoma. Compared to the traditional method, the whole test can be finished within 30 min from the sample treatment to the testing results. The method was evaluated by correctly identifying 72 samples obtained from 9 different habitats, demonstrating its high reliability. In summary, we present an ultrafast (less than 30 min) and colorimetric detection platform (under ultraviolet lamp) based on direct-VPCR for the identification of Pinelliae Rhizoma. The high practicability (100% accuracy) of this pipeline enables it to be a promising method in the routine detection of other herbal materials. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03035-9.

Indexed as

Colorimetric detectionMedicinal herbPinelliae RhizomaUltrafastVPCR

Identifiers

PMID34881156
PMCPMC8593080

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Registered trials

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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.