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1.南京中医药大学药学院,南京 210023
2.江苏省植物药深加工工程研究中心,南京 210023
3.江苏省中医药防治肿瘤协同创新中心,南京 210023
4.江苏省经典名方工程研究中心,南京 210023
硕士研究生。研究方向:中药制药技术与产品开发。E-mail:xl15003337992@163.com
教授,硕士生导师,博士。研究方向:中药制剂。E-mail:linmeip@njucm.edu.cn
纸质出版日期:2023-02-15,
收稿日期:2022-07-06,
修回日期:2022-11-26,
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董晓龙,沈佳捷,朱佳钰等.苦参的指纹图谱建立及差异性成分含量测定 Δ[J].中国药房,2023,34(03):298-302.
DONG Xiaolong,SHEN Jiajie,ZHU Jiayu,et al.Establishment of fingerprint and determination of differential components of Sophora flavescens[J].ZHONGGUO YAOFANG,2023,34(03):298-302.
董晓龙,沈佳捷,朱佳钰等.苦参的指纹图谱建立及差异性成分含量测定 Δ[J].中国药房,2023,34(03):298-302. DOI: 10.6039/j.issn.1001-0408.2023.03.09.
DONG Xiaolong,SHEN Jiajie,ZHU Jiayu,et al.Establishment of fingerprint and determination of differential components of Sophora flavescens[J].ZHONGGUO YAOFANG,2023,34(03):298-302. DOI: 10.6039/j.issn.1001-0408.2023.03.09.
目的
2
建立不同产地苦参药材的指纹图谱,筛选差异性成分,并进行含量测定。
方法
2
采用《中药色谱指纹图谱相似度评价系统(2012版)》建立12批苦参药材的高效液相色谱(HPLC)指纹图谱,指认共有峰并进行相似度评价;采用SIMCA 14.1和SPSS 23.0软件进行化学模式识别分析[聚类分析(CA)、主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)],并以变量重要性投影(VIP)值>1为标准筛选影响苦参药材质量的差异性成分;采用同一HPLC法测定4种差异性成分的含量。
结果
2
12批苦参药材的指纹图谱中共有17个共有峰,相似度均大于0.96;共指认了6个共有峰,分别为氧化苦参碱(峰1)、氧化槐果碱(峰2)、苦参碱(峰10)、三叶豆紫檀苷(峰14)、苦参酮(峰16)、降苦参酮(峰17)。CA、PCA、OPLS-DA结果显示,12批苦参药材可按不同产地聚为3类:S1~S7(陕西商州区)聚为一类,S8~S10(河南伊川县)聚为一类,S11~S12(内蒙古赤峰市)聚为一类。苦参碱、降苦参酮、苦参酮、氧化槐果碱以及峰11、峰9所代表的化学成分的VIP值均大于1。12批苦参药材中苦参碱、降苦参酮、苦参酮、氧化槐果碱的含量分别为2.65~4.93、1.54~3.44、9.63~12.94、5.08~6.10 mg/g。
结论
2
本研究成功建立了苦参药材的HPLC指纹图谱,并结合化学模式识别分析筛选出6种差异性成分,可为该药材的质量控制提供参考。
OBJECTIVE
2
To establish the fingerprint of
Sophora flavescens
, and to screen differential components and determine their contents.
METHODS
2
HPLC fingerprints of 12 batches of
S. flavescens
were established by using
Similarity Evaluation System of Chromatographic Fingerprints of TCM
(2012 edition); common peaks were identified and their similarities were evaluated. Chemical pattern recognition analysis [cluster analysis (CA),principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis(OPLS-DA)]
were performed with SIMCA 14.1 and SPSS 23.0 software, and differential components which influenced the quality of
S. flavescens
were screen with variable importance in the projection(VIP)>1 as standard. Meanwhile, the contents of 4 kinds of differential components were determined by the same HPLC method.
RESULTS
2
There were 17 common peaks in the fingerprints of 12 batches of
S. flavescens
,and their similarities were all higher than 0.96. A total of 6 common peaks were identified, i.e. oxymatrine (peak 1), oxysophocarpine (peak 2), matrine (peak 10), trifolirhizin (peak 14), kurarinone (peak 16) and norkurarinone (peak 17). Results of CA, PCA and OPLS-DA showed that 12 batches of
S. flavescens
were divided into 3 categories according to producing area, i.e. S1-S7 (Shangzhou District of Shaanxi Province) were grouped into one category, S8-S10 (Yichuan County of Henan Province) into one category and S11-S12 (Chifeng City of Inner Mongolia) into one category. VIPs of matrine, norkurarinone, kurarinone and oxysophocarpine and the chemical components represented by peak 11 and 9 were all greater than 1. The contents of matrine, norkurarinone, kurarinone and oxysophocarpine in 12 batches of
S. flavescens
were 2.65-4.93, 1.54-3.44, 9.63-12.94 and 5.08-6.10 mg/g, respectively.
CONCLUSIONS
2
HPLC fingerprint of
S. flavescens
is established successfully in the study, and can be used to screen 6 differential components by combining with chemical pattern recognition analysis, which can provide reference for quality control of
S. flavescens
.
苦参指纹图谱含量测定化学模式识别分析
fingerprintcontent determinationchemical pattern recognition analysis
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杜义龙,李赛,李艳荣,等.半枝莲标准汤剂的指纹图谱建立与抗氧化活性成分的化学模式识别[J].中国药房,2022,33(4):425-432.
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龚伟伟,罗光明,秦倩,等.茶芎HPLC指纹图谱的建立及差异性成分的含量测定[J].中国药房,2022,33(16):1968-1973.
陈婷,胡芳,唐樑,等.基于HPLC指纹图谱及定量测定的益气逐瘀利水方质量评价研究[J].中国医院药学杂志,2022,42(7):707-712.
潘宏春,阳勇,秦伟瀚,等.基于多元统计学方法的亚香棒虫草与冬虫夏草化学差异研究[J].中草药,2020,51(16):4316-4324.
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