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Geographical Origin Traceability of Atractylodes macrocephala Koidz. Using Mass Spectrometry Data Fusion and Ensemble Learning

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成果类型:
期刊论文
作者:
Tang, Ying;Zhao, Han-Qing;Zhang, Xin-Yi;Wang, Xiao-Zhi;Du, Ci;...
通讯作者:
Chen, Y;Chen, Yao;Wang, T
作者机构:
[Chen, Sha; Du, Ci; Chen, Yao; Tang, Ying] Hunan Univ Technol, Coll Life Sci & Chem, Hunan Key Lab Biomed Mat & Devices, Zhuzhou 412007, Peoples R China.
[Wang, Tong; Zhang, Xin-Yi; Chen, Yao; Wang, Xiao-Zhi; Tang, Ying] Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China.
[Zhao, Han-Qing] Cent South Univ Forestry & Technol, Sch Sci, Inst Appl Chem, Changsha, Peoples R China.
[Chen, Sha] Zhuzhou City Joint Lab Environm Microbiol & Plant, Zhuzhou, Peoples R China.
通讯机构:
[Wang, T ; Chen, Y ; Chen, Y] H
Hunan Univ Technol, Coll Life Sci & Chem, Hunan Key Lab Biomed Mat & Devices, Zhuzhou 412007, Peoples R China.
Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Biosensing & Chemometr, Changsha 410082, Peoples R China.
语种:
英文
关键词:
Atractylodes macrocephala Koidz.;ensemble learning;gas chromatography - mass spectrometry (GC-MS);high-performance liquid chromatography - mass spectrometry (LC-MS);inductively coupled plasma - mass spectrometry (ICP-MS)
期刊:
Analytical Letters
ISSN:
0003-2719
年:
2025
卷:
58
期:
2
页码:
272-284
基金类别:
scientific research project of Hunan Provincial Department of Education, (22C0321, 22B0579) National Natural Science Foundation of China, NSFC, (22204049) National Natural Science Foundation of China, NSFC Natural Science Foundation of Hunan Province, (2022JJ40042) Natural Science Foundation of Hunan Province
机构署名:
本校为其他机构
院系归属:
理学院
摘要:
The use of data fusion based with multiple analytical techniques was investigated to provide the accurate geographical origin identification of Atractylodes macrocephala Koidz. (AMK). Inductively coupled plasma - mass spectrometry (ICP-MS), gas chromatography - mass spectrometry (GC-MS) and liquid chromatography - mass spectrometry (LC-MS) were used to characterize Hubei, Zhejiang, and Hunan production regions. After the implementation of data fusion, the ensemble learning method multi-forest joint network (MFJN) and classic machine learning me...

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