Comparative Study on Morphological Features and Chemical Components of Wild and Cultivated <i>Angelica sinensis</i> Based on Bionic Technologies and Chemometrics

As a traditional Chinese medicine, <i>Angelica sinensis</i> is primarily sourced from cultivated plants due to the significant decline in wild resources. This shift raises concerns about potential differences in efficacy resulting from variations in morphological features and chemical composition between wild (WA) and cultivated (CA) <i>A. sinensis</i>. In this study, a suite of advanced analytical techniques including electronic nose, electronic tongue, and electronic eye, alongside headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry and high-performance liquid chromatography, was applied to compare the morphological features and chemical components of WA and CA. Furthermore, principal component analysis and partial least-squares discriminant were employed for data analysis. The morphological features and chemical components of WA and CA were compared and analyzed. The results showed that three bionic technologies can distinguish WA from CA well and that fusion signals can distinguish better. There were differences between WA and CA in odor, taste, color, and content of the indicator components. There were correlations between the morphological features and the content of indicator components.

Authors

Institutions

Publication Details

Journal
ACS Omega
Published
2024-09-26
DOI
https://doi.org/10.1021/acsomega.4c04400
Citations
3
Primary Topic
Traditional Chinese Medicine Analysis
Type
article
Field-Weighted Citation Impact
2.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative Study on Morphological Features and Chemical Components of Wild and Cultivated Angelica sinensis Based on Bionic Technologies and Chemometrics

Yiyang Chen, Juanjuan Liu, Liangcai Wang, Jialing Zhang et al.
3 citations
ACS Omega
Traditional Chinese Medicine Analysis
2.15
article

Comparative Study on Morphological Features and Chemical Components of Wild and Cultivated Angelica sinensis Based on Bionic Technologies and Chemometrics

Yiyang Chen, Juanjuan Liu, Liangcai Wang, Jialing Zhang, Ling Jin, Huifang Hu
article en
3 citations

Abstract

As a traditional Chinese medicine, <i>Angelica sinensis</i> is primarily sourced from cultivated plants due to the significant decline in wild resources. This shift raises concerns about potential differences in efficacy resulting from variations in morphological features and chemical composition between wild (WA) and cultivated (CA) <i>A. sinensis</i>. In this study, a suite of advanced analytical techniques including electronic nose, electronic tongue, and electronic eye, alongside headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry and high-performance liquid chromatography, was applied to compare the morphological features and chemical components of WA and CA. Furthermore, principal component analysis and partial least-squares discriminant were employed for data analysis. The morphological features and chemical components of WA and CA were compared and analyzed. The results showed that three bionic technologies can distinguish WA from CA well and that fusion signals can distinguish better. There were differences between WA and CA in odor, taste, color, and content of the indicator components. There were correlations between the morphological features and the content of indicator components.

ACS OmegaVol. 9(40)
Gansu University of Traditional Chinese Medicine (CN)
Gansu Education Department, Chinese Academy of Engineering, Science and Technology Program of Gansu Province
Zero hunger
Openalex Percentile: Top 12%
Traditional Chinese Medicine Analysis
2.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.