Evidence map›Paper›PMID 39519632›Full record

ArticleMolecules (Basel, Switzerland)2024

Geographical Origin Traceability of Atractylodis Macrocephalae Rhizoma Based on Chemical Composition, Chromaticity, and Electronic Nose.

Ruiqi Yang, Yushi Wang, Jiayu Wang, Xingyu Guo, Yuanyu Zhao, Keyao Zhu, Xintian Zhu, Huiqin Zou, Yonghong Yan

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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.

Ruiqi YangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0009-1552-1603
Yushi WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0003-1093-4093
Jiayu WangSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0002-2983-6955
Xingyu GuoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0009-4881-1500
Yuanyu ZhaoSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0001-2978-0296
Keyao ZhuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0009-4782-3788
Xintian ZhuSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0009-0006-1511-7166
Huiqin ZouSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID 0000-0003-3066-6180
Yonghong YanSchool of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.

Funding

2023 Beijing University of Chinese Medicine "unveiling and leading" project 2023-JYB-JBQN-058Shanxi Province 2022-2023 Traditional Chinese Medicine Technology Innovation Project 2100601 Traditional Chinese Medicine (Ethnic Medicine) Special Project
6 · The paper itself

Abstract

Atractylodis Macrocephalae Rhizoma (AMR) is a traditional Chinese medicine used for gastrointestinal diseases. With increased demand, there are more and more places of cultivation for AMR. However, the quality of AMR varies from place to place, and there is no good way to distinguish AMR from different origins at present. In this paper, we determined the content of eight chemical components including 60% ethanol extracts, essential oil, polysaccharides, atractylenolides, and atractylone, obtained the color parameters of AMR powder by colorimetry, and odor information was captured by the electronic nose, all of which were combined with machine learning to establish a rapid origin traceability method. The results of the principal component analysis of the chemical components revealed that Zhejiang AMR has a high comprehensive score and overall better quality. The Kruskal-Wallis test demonstrated that there are varying degrees of differences in chemical composition and color parameters across the different origin. However, the accuracy of the classification model is low (less than 80%), making it difficult to distinguish between different origins of AMR. The electronic nose demonstrated excellent classification performance in the traceability of AMR from different origins, with accuracy reaching more than 90% (PLS-DA: 96.88%, BPNN: 96.88%, PSO-SVM: 100%). Overall, this study clarified the quality differences of AMR among different origins, and a rapid and precise method combining machine learning was developed to trace the origin of AMR.

Indexed as

AtractylodesElectronic NoseRhizomeColorDrugs, Chinese HerbalGeographyMachine LearningMedicine, Chinese TraditionalOdorantsOils, VolatilePrincipal Component AnalysisDrugs, Chinese HerbalOils, VolatileAtractylodis Macrocephalae Rhizomachromaticityelectronic noseorigin traceabilityquality evaluation

Identifiers

PMID39519632
PMCPMC11547543

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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.