近红外光谱技术快速鉴别前胡药材及其伪品
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摘要
目的应用近红外光谱技术结合化学计量学方法建立前胡及其伪品的快速鉴别模型。方法收集6个主产地前胡(54批)和7种常见伪品(35批)共89批样品,采集近红外光谱图,采用化学计量学方法建立前胡及其伪品的鉴别模型。结果优选的模型参数:光谱预处理方法为多元散射校正+一阶求导+Norri导数平滑滤波,光谱波段为6 800～5 700 cm~(-1),偏最小二乘-判别分析方法的主成分数为14。验证集的鉴别结果表明真伪鉴别模型的正确识别率为100%。结论近红外光谱法简便、快速,能够正确鉴别前胡药材及其伪品,为前胡药材的快速定性评价提供了一种新方法。
OBJECTIVE A rapid identification model of Peucedani Radix and its adulterants was developed by near-infrared spectroscopy with chemometrics methods. METHODS Eighty-nine samples including Peucedani Radix samples from 6 main origin areas(54 samples) and 7 common adulterants(35 samples) were collected. Near-infrared spectrums were collected. The identification model of Peucedani Radix and its adulterants was established by chemometrics methods. RESULTS The optimized model parameters were as follows: the spectrum preprocessing method was multiplicative signal correction+first derivative+norris derivatie filter, the spectrum band was 6 800-5 700 cm~(-1), and the principal component number of PLS-DA modeling method was 14. The identification result of the validation sets showed that the correct recognition rate of the authenticity identification model was 100%. CONCLUSION This approach of near-infrared spectroscopy is simple and rapid.It can correctly identify Peucedani Radix and its adulterants, and providing a new method for rapid qualitative evaluation of Peucedani Radix.
OBJECTIVE A rapid identification model of Peucedani Radix and its adulterants was developed by near-infrared spectroscopy with chemometrics methods. METHODS Eighty-nine samples including Peucedani Radix samples from 6 main origin areas(54 samples) and 7 common adulterants(35 samples) were collected. Near-infrared spectrums were collected. The identification model of Peucedani Radix and its adulterants was established by chemometrics methods. RESULTS The optimized model parameters were as follows: the spectrum preprocessing method was multiplicative signal correction+first derivative+norris derivatie filter, the spectrum band was 6 800-5 700 cm~(-1), and the principal component number of PLS-DA modeling method was 14. The identification result of the validation sets showed that the correct recognition rate of the authenticity identification model was 100%. CONCLUSION This approach of near-infrared spectroscopy is simple and rapid.It can correctly identify Peucedani Radix and its adulterants, and providing a new method for rapid qualitative evaluation of Peucedani Radix.
引文
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[12]ZHONG Y L,LE Z Y.Rapid identification of genuine and adulterated Panax Notoginseng powders by near infrared spectra[J].J Jiangxi Univ Tradit Med(江西中医药大学学报),2018,30(3):70-73,76.
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[14]ZHOU Z L,LI J,HUANG S Q,et al.Development of chemometric modelling in the application of NIR to the quality control of Chinese herbal medicine:literature review and future perspectives[J].Chem Ind Eng Prog(化工进展),2016,35(6):1627-1645.
[15]XUE S J,CHEN S Q,WANG L L,et al.Qualitative and quantitative study on different commercial specifications of Radix Rehmanniae based on near infrared spectroscopy[J].Chin J Tradit Chin Med Pharm(中华中医药杂志),2017,35(5):2055-2059.
[2]姜长玉,孟庆美.白花前胡与紫花前胡的鉴别[J].医药产业资讯,2006,3(14):118.
[3]HOU D Y,SONG J Y,YANG P,et al.Identification of Peucedani Radix,Peucedani Decursivi Radix and its adulterants using ITS2 sequence[J].China J Chin Mater Med(中国中药杂志),2014,39(21):4186-4190.
[4]HAN B X,YUAN Y,HUANG L Q,et al.Specific PCRidentification between Peucedanum praeruptorum and Angelica decursiva and identification between them and adulterant using DNA barcode[J].Pharmacogn Mag,2017,13(49):38-45.
[5]宋吉莲,邢晔忠.介绍一种前胡薄层色谱鉴别方法[J].时珍国医国药,2000,11(2):143.
[6]WANG J,HAN X P,BU C C.Screening of Peucedanum praeruptorum in Baihua Dingchuan Preparations by HPLC[J].Chin Pharm Aff(中国药事),2017,31(3):281-289.
[7]QI C,CHEN Z J.SDS-PAGE to identify with Purple Peucedanum and Peucedanum Praeruptorum Dunn and counterfeit[J].J Hubei Univ Chin Med(湖北中医药大学学报),2012,14(2):30-32.
[8]HUANG D L,XU Y Q,CHEN X K.Rapid identification of Pencedani praeruptorum and its counterfeit Saposhmikoviae divaricata by second derivative spectroscopy[J].J Shaoguan Univ-Nat Sci(韶关学院学报·自然科学),2009,30(12):50-53.
[9]WU Y S,WU Y Y,LIU Y J,et al.Advances in Peucedani Radix and its adulterants and substitutes in Chinese materia medica identification[J].Chin Tradit Herb Drug(中草药),2017,48(11):2335-2339.
[10]HAN Y,BI F J,HOU H C,et al.Application of near infrared spectroscopy to identify authenticity of Polygonum multiflorum[J].China J Chin Mater Med(中国中药杂志),2014,39(22):4394-4398.
[11]HUANG Y W,WANG J H,LI X Y,et al.Research on fast discrimination between Panax Ginseng and Panax Quinque folium based on near infrared spectroscopy[J].Spectrosc Spect Anal(光谱学与光谱分析),2010,30(11):2954-2957.
[12]ZHONG Y L,LE Z Y.Rapid identification of genuine and adulterated Panax Notoginseng powders by near infrared spectra[J].J Jiangxi Univ Tradit Med(江西中医药大学学报),2018,30(3):70-73,76.
[13]ZHOU Y,XUE L B,YI S M,et al.Study on conformity test and cluster analysis of Stachyuri Medulla and its adulterants by near infrared spectroscopy[J].Chin J Mod Appl Pharm(中国现代应用药学),2017,34(5):697-699.
[14]ZHOU Z L,LI J,HUANG S Q,et al.Development of chemometric modelling in the application of NIR to the quality control of Chinese herbal medicine:literature review and future perspectives[J].Chem Ind Eng Prog(化工进展),2016,35(6):1627-1645.
[15]XUE S J,CHEN S Q,WANG L L,et al.Qualitative and quantitative study on different commercial specifications of Radix Rehmanniae based on near infrared spectroscopy[J].Chin J Tradit Chin Med Pharm(中华中医药杂志),2017,35(5):2055-2059.