中医药信息2024，Vol.41Issue(4)：14-20,7.DOI:10.19656/j.cnki.1002-2406.20240403
基于中红外光谱法鉴定党参及结合化学统计学分析掺伪分数研究
Identification of Codonopsis Root by Mid-Infrared Spectroscopy and Analysis of Adulteration Fraction by Chemical Statistics
摘要
Abstract
Objective:To evaluate the qualitative and quantitative quality of codonopsis root and its two common counterfeits,radix libonotidis and starwort root by mid-infrared spectroscopy.Methods:Experimental samples of a single kind of doping substance with 5%-60%doping mass fraction of different counterfeit products were prepared,and mid-infrared spectral data in the range of 400-4 000 cm-1 were collected.Principal component analysis(PCA)was used to identify codonopsis root and its two kinds of counterfeits.For a single adulterant sample,five different pretreatment methods were used to denoise the spectral data.By using partial least squares regression(PLS)method,a PLS1 model was established to predict the adulterant content quantitatively,and successive projection algorithm(SPA)was used to select the optimal wavelength and optimize the quantitative model.Results:The prediction set determination coefficient(Rp2)and root-mean-square error(RMSEP)of the 8-wavelength detection model based on codonopsis root mixed with radix libonotidis were 0.989 6 and 3.3781%respectively.The prediction set determination coefficient(Rp2)and root mean square error(RMSEP)were 0.998 4 and 1.279 3%respectively for the 11-wavelength detection model based on codonopsis root mixed with starwort root.Conclusion:The rapid nondestructive detection and quality evaluation of different adulterated codonopsis root can be achieved by using mid-infrared spectroscopy.The proposed method provides basic theory and reference scheme for the subsequent application and development of nondestructive testing instruments for codonopsis root and other kinds of traditional Chinese medicine,and is of great significance for ensuring the quality,safety and effectiveness of Chinese medicinal materials.关键词
党参/红外光谱/鉴别/化学计量学/掺伪Key words
Codonopsis root/Infrared spectrum/Identify/Stoichiometry/Adulteration引用本文复制引用
何小英,刘鑫,倪琳,郭朝晖,宋平顺..基于中红外光谱法鉴定党参及结合化学统计学分析掺伪分数研究[J].中医药信息,2024,41(4):14-20,7.基金项目
甘肃省药品监督管理局中药材及饮片质量控制重点实验室项目(2021GSMPA-KL01) （2021GSMPA-KL01）
《中国药典》中23种中药材和饮片质量标准修订及提高研究(2021GSMPA-KL02) （2021GSMPA-KL02）
