Species Differentiation and Quality Evaluation for Atractylodes Medicinal Plants by GC/MS Coupled with Chemometric Analysis

被引:14
作者
Ma, Zicheng [1 ]
Liu, Guoqiang [1 ]
Yang, Zijie [1 ]
Zhang, Guoqin [1 ,2 ]
Sun, Lili [1 ]
Wang, Meng [2 ]
Ren, Xiaoliang [1 ,3 ]
机构
[1] Tianjin Univ Tradit Chinese Med, Sch Chinese Mat Med, Tianjin 301617, Peoples R China
[2] Tianjin Univ Tradit Chinese Med, Tianjin State Key Lab Modern Chinese Med, Tianjin 301617, Peoples R China
[3] Tianjin Univ Tradit Chinese Med, Tianjin Key Lab Therapeut Subst Tradit Chinese Med, Tianjin 301617, Peoples R China
基金
中国国家自然科学基金;
关键词
Atractylodes; chemometric analysis; gas chromatograph-mass spectrometer; quality evaluation; volatile oil profiles; VOLATILE COMPOUNDS; GAS-CHROMATOGRAPHY; COMPONENT; LANCEA; PROFILE; CRUDE;
D O I
10.1002/cbdv.202300793
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
070307 [化学生物学]; 071010 [生物化学与分子生物学];
摘要
The utilization of rhizomes from the genus Atractylodes has been challenging due to their closely related origins. In this study, we developed an analytical strategy to differentiate Atractylodes lancea (A. lancea), Atractylodes chinensis (A. chinensis), Atractylodes japonica (A. japonica), and Atractylodes macrocephala (A. macrocephala), and compared their volatile compositions. Gas chromatography-mass spectrometry (GC/MS) was used to analyze the volatile profiles of essential oils extracted from 59 batches of samples. Chemometric methods enabled a better understanding of the differences in volatile oils between the four species and identified significant components affecting their classification and quality. A total of 50 volatile components were identified from the essential oils by GC/MS. Unsupervised and supervised chemometric analyses accurately distinguished A. lancea, A. chinensis, A. japonica, and A. macrocephala. Furthermore, five characteristic chemical markers, namely hinesol, & beta;-eudesmol, atractylon, atractylodin and atractylenolide I, were obtained, and their respective percentage contents in individual species and samples were determined. This study provides a valuable reference for the quality evaluation of medicinal plants with essential oils and holds significance for species differentiation and the rational clinical application of Atractylodes herbs.
引用
收藏
页数:10
相关论文
共 36 条
[1]
Principal component analysis [J].
Bro, Rasmus ;
Smilde, Age K. .
ANALYTICAL METHODS, 2014, 6 (09) :2812-2831
[2]
Virgin Olive Oil Volatile Compounds: Composition, Sensory Characteristics, Analytical Approaches, Quality Control, and Authentication [J].
Cecchi, Lorenzo ;
Migliorini, Marzia ;
Mulinacci, Nadia .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2021, 69 (07) :2013-2040
[3]
Commission C.P., 2020, Pharmacopoeia of the Peoples Republic of China, P168
[4]
Deng Ai-Ping, 2016, Zhongguo Zhong Yao Za Zhi, V41, P3904, DOI [10.4268/cjcmm20162104, 10.4268/cjcmm20162104]
[5]
Mass spectrometry-based metabolomics [J].
Dettmer, Katja ;
Aronov, Pavel A. ;
Hammock, Bruce D. .
MASS SPECTROMETRY REVIEWS, 2007, 26 (01) :51-78
[6]
Use of principal component analysis (PCA) and hierarchical cluster analysis (HCA) for multivariate association between bioactive compounds and functional properties in foods: A critical perspective [J].
Granato, Daniel ;
Santos, Janio S. ;
Escher, Graziela B. ;
Ferreira, Bruno L. ;
Maggio, Ruben M. .
TRENDS IN FOOD SCIENCE & TECHNOLOGY, 2018, 72 :83-90
[7]
Atractylone, an active constituent of KMP6, attenuates allergic inflammation on allergic rhinitis in vitro and in vivo models [J].
Kim, Hee-Yun ;
Nam, Sun-Young ;
Hwang, Sung-Yeoun ;
Kim, Hyung-Min ;
Jeong, Hyun-Ja .
MOLECULAR IMMUNOLOGY, 2016, 78 :121-132
[8]
Effects of an Atractylodes lancea rhizome extract and a volatile component β-eudesmol on gastrointestinal motility in mice [J].
Kimura, Yoshiyuki ;
Sumiyoshi, Maho .
JOURNAL OF ETHNOPHARMACOLOGY, 2012, 141 (01) :530-536
[9]
HS-SPME coupled with GC-MS for elucidating differences between the volatile components in wild and cultivated Atractylodes chinensis [J].
Lei, Hui ;
Yue, Jiao ;
Yin, Xin-yu ;
Fan, Wei ;
Tan, Song-hui ;
Qin, Li ;
Zhao, Yi-nian ;
Bai, Jian-hua .
PHYTOCHEMICAL ANALYSIS, 2023, 34 (03) :317-328
[10]
Lin Y., 2022, CHINA PHARM, V25, P911