Study on Source Identification and Model Transfer of Epimedium Brevicornum and Epimedium Pubescens Based on Near Infrared Spectroscopy and Chemometrics
Scientific Papers|更新时间:2025-06-09
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Study on Source Identification and Model Transfer of Epimedium Brevicornum and Epimedium Pubescens Based on Near Infrared Spectroscopy and Chemometrics
Journal of Instrumental AnalysisVol. 44, Issue 6, Pages: 1034-1042(2025)
FENG Jia-hao,GUAN Zhi-qi,ZHANG Zhi-yong,CHEN Jing-chao,ZHANG Shun-nan,LI Wen-long.Study on Source Identification and Model Transfer of Epimedium Brevicornum and Epimedium Pubescens Based on Near Infrared Spectroscopy and Chemometrics[J].Journal of Instrumental Analysis,2025,44(06):1034-1042.
FENG Jia-hao,GUAN Zhi-qi,ZHANG Zhi-yong,CHEN Jing-chao,ZHANG Shun-nan,LI Wen-long.Study on Source Identification and Model Transfer of Epimedium Brevicornum and Epimedium Pubescens Based on Near Infrared Spectroscopy and Chemometrics[J].Journal of Instrumental Analysis,2025,44(06):1034-1042. DOI: 10.12452/j.fxcsxb.250221109.
Study on Source Identification and Model Transfer of Epimedium Brevicornum and Epimedium Pubescens Based on Near Infrared Spectroscopy and Chemometrics
Based on near infrared spectroscopy combined with chemometrics methods,this study systematically studied the origin identification and model transfer of
Epimedium brevicornum
and
Epimedium pubescens
. Firstly,principal component analysis(PCA) was used to explore the spectral differences between the two,which provides a reference for subsequent classification modeling. Subsequently,support vector machine(SVM) and random forest(RF) classification models were established,and the effects of different spectral preprocessing methods were compared to screen out the best preprocessing combination(SG+1
st
Der+SNV and SG+2
nd
Der+SNV). Finally,a high-accuracy primitive identification model(the identification accuracy was 100%) was obtained. On this basis,the DS and PDS methods were used to correct the model,and the standard samples were selected by hierarchical clustering(HC),which successfully improved the adaptability and migration effect of the model. The results showed that the SVM model was superior to the RF model in terms of classification accuracy and migration stability,which provided a scientific basis for the application of portable near infrared spectrometer in the identification of traditional Chinese medicine.
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