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1.山西中医药大学中药与食品工程学院,山西 晋中 030619
2.山西振东安欣生物制药有限公司,山西 晋中 030600
硕士研究生。研究方向:中药药理与毒理学。E-mail:liukaili0820@163.com
副教授,硕士生导师,博士。研究方向:中药药理与毒理学。电话:0351-3179903。E-mail:wangyan81823@aliyun.com
纸质出版日期:2022-09-30,
收稿日期:2022-02-18,
修回日期:2022-08-13,
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刘凯丽,刘艳之,王世晖等.一测多评法结合指纹图谱和化学模式识别分析在西黄丸质量评价中的应用 Δ[J].中国药房,2022,33(18):2219-2223.
LIU Kaili,LIU Yanzhi,WANG Shihui,et al.Application of quantitative analysis of multi-components by single marker combined with fingerprint and chemical pattern recognition analysis in the quality evaluation of Xihuang pills[J].ZHONGGUO YAOFANG,2022,33(18):2219-2223.
刘凯丽,刘艳之,王世晖等.一测多评法结合指纹图谱和化学模式识别分析在西黄丸质量评价中的应用 Δ[J].中国药房,2022,33(18):2219-2223. DOI: 10.6039/j.issn.1001-0408.2022.18.09.
LIU Kaili,LIU Yanzhi,WANG Shihui,et al.Application of quantitative analysis of multi-components by single marker combined with fingerprint and chemical pattern recognition analysis in the quality evaluation of Xihuang pills[J].ZHONGGUO YAOFANG,2022,33(18):2219-2223. DOI: 10.6039/j.issn.1001-0408.2022.18.09.
目的
2
评价西黄丸的质量,并筛选影响其质量的差异标志物。
方法
2
以麝香酮为内参物,采用一测多评(QAMS)法测定α-蒎烯等4个成分的含量,并与外标法进行比较;采用气相色谱(GC)法建立13批西黄丸的指纹图谱;采用SPSS 25.0软件、SIMCA 14.1软件进行聚类分析、正交偏最小二乘法-判别分析,以变量重要性投影(VIP)值大于1为标准筛选影响样品质量的差异标志物。
结果
2
QAMS法测得
α
-蒎烯、乙酸辛酯、
β
-榄香烯含量分别为0~0.628 4、0.378 0~2.679 4、0.320 9~0.815 4 mg/g,外标法测得
α
-蒎烯、乙酸辛酯、
β
-榄香烯、麝香酮含量分别为0.001 5~0.627 1、0.378 0~2.594 7、0.329 2~0.837 0、0.385 7~0.806 0 mg/g,两种方法测得含量的相对误差均小于4%。13批西黄丸中共识别出26个共有峰,共指认了乙酸辛酯、
β
-榄香烯、麝香酮3个共有峰;相似度为0.912~0.946。13批样品可分为2类,S1~S2、S6~S10、S13为一类,S3~S5、S11~S12为一类。峰7、11、10、17、16的VIP值均大于1。
结论
2
西黄丸中
α
-蒎烯等4个成分的含量,结合GC指纹图谱和化学模式识别分析可用于评价西黄丸的质量。峰7等5个共有峰对应的成分可能是影响样品质量的差异标志物。
OBJECTIVE
2
To evaluate the quality of Xihuang pills, and to screen the differential markers affecting its quality.
METHODS
2
Using muskone as internal reference, the content of α-pinene and other 4 components were determined by quantitative analysis of multi-components by single marker (QAMS), and compared with the results of external standard method. The fingerprints of 13 batches of Xihuang pills were established by gas chromatography (GC) method. Cluster analysis (CA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were performed by SPSS 25.0 software and SIMCA 14.1 software. The variable importance projection (VIP) value greater than 1 was used as the standard to screen differential markers affecting the quality of the samples.
RESULTS
2
The contents of α-pinene, octyl acetate and
β
-elemene measured by QAMS were 0-0.628 4, 0.378 0-2.679 4 and 0.320 9-0.815 4 mg/g, respectively. The contents of
α
-pinene, octyl acetate,
β
-elemene and musk ketone measured by external standard method were 0.001 5-0.627 1, 0.378 0-2.594 7, 0.329 2-0.837 0 and 0.385 7-0.806 0 mg/g, respectively. The relative error of the content determination results of the two methods was less than 4%. There were 26 common peaks in 13 batches of Xihuang pills, and 3 common peaks, such as octyl acetate,
β
-elemene and musk ketone, were identified; their similarities were 0.912-0.946. 13 batches of samples could be divided into two categories (S1-S2, S6-S10, S13 were clustered into one category and S3-S5, S11-S12 were clustered into one category). VIP values of peak 7, 11, 10, 17 and 16 were all greater than 1.
CONCLUSIONS
2
The content of 4 components such as α-pinene in Xihuang pills combined with GC fingerprint and chemical pattern recognition analysis can be used to evaluate the quality of Xihuang pills. The components corresponding to 5 common peaks such as peak 7 may be differential markers affecting the quality of the samples.
西黄丸一测多评法含量测定气相色谱指纹图谱化学模式识别分析
QAMScontent determinationGC fingerprintchemical pattern recognition analysis
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