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基于HS-GC-MS的降香真伪鉴别

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目的:通过对降香及伪品中挥发性成分分析,筛选其挥发性差异成分,为降香真伪鉴别提供依据。方法:采用顶空气相色谱-质谱法(HS-GC-MS)检测降香及伪品中挥发性成分,GC条件采用程序升温(柱箱初始温度50 ℃,保留时间1 min,以10 ℃·min-1升温至300 ℃保持10 min),流速1。0 mL·min-1,分流比10∶1,进样量1 mL,采用电子轰击离子源(EI),扫描范围m/z 35~550。通过数据库匹配鉴定化合物种类,利用峰面积归一法计算各成分相对质量分数,并运用SIMCA 14。1软件对检测结果进行主成分分析(PCA)、正交偏最小二乘法-判别分析(OPLS-DA)与聚类分析,根据变量重要性投影(VIP)值>2及P<0。05筛选出降香及伪品的挥发性差异成分。结果:分别从降香、巴里黄檀、阔叶黄檀、两粤黄檀、斜叶黄檀、交趾黄檀中鉴定出26、17、8、22、24、7个挥发性成分,其中降香的特有成分11种,巴里黄檀特有挥发性成分6种、阔叶黄檀特有挥发性成分3种、两粤黄檀特有挥发性成分6种、斜叶黄檀特有挥发性成分8种、交趾黄檀特有挥发性成分4种。PCA结果显示,除阔叶黄檀与交趾黄檀不能明显区分外,降香与其他伪品均能各自分布在一定的区域内;OPLS-DA结果显示,降香及5种伪品各自聚为一类,表明降香与伪品挥发性成分具有明显差异性,最终共筛选出31个降香与其伪品的挥发性成分差异标志物。结论:HS-GC-MS结合SIMCA14。1软件可以系统阐释降香与其伪品中挥发性差异成分,适用于降香及伪品的快速鉴别研究。
Identification of Dalbergia odorifera and Its Counterfeits by HS-GC-MS
Objective:To screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits,in order to provide reference for authentication of D.odorifera.Method:The volatile components in D.odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry(HS-GC-MS),and the GC conditions were heated by procedure(the initial temperature of the column was 50 ℃,the retention time was 1 min,and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min),the carrier gas was helium,and the flow rate was 1.0 mL·min-1,the split ratio was 10∶1,and the injection volume was 1 mL.The MS conditions used electron bombardment ionization(EI)with the scanning range of m/z 35-550.The compound species were identified by database matching,the relative content of each component was calculated by the peak area normalization method,and principal component analysis(PCA),orthogonal partial least squares-discrimination analysis(OPLS-DA)and cluster analysis were performed on the detection results by SIMCA 14.1 software,and the differential components ofD.odorifera and its counterfeits were screened out according to the variable importance in the projection(VIP)value>2 and P<0.05.Result:A total of 26,17,8,22,24 and 7 volatile components were identified from D.odorifera,D.bariensis,D.latifolia,D.benthamii,D.pinnata and D.cochinchinensis,respectively.Among them,there were 11 unique volatile components of D.odorifera,6 unique volatile components of D.bariensis,3 unique volatile components of D.latifolia,6 unique volatile components of D.benthamii,8 unique volatile components of D.pinnata,4 unique volatile components of D.cochinchinensis.The PCA results showed that,except for D.latifolia and D.cochinchinensis,which could not be clearly distinguished,D.odorifera and other counterfeits could be distributed in a certain area,respectively.The OPLS-DA results showed that D.odorifera and its five counterfeits were clustered into one group each,indicating significant differences in volatile components between D.odorifera and its counterfeits.Finally,a total of 31 differential markers of volatile components between D.odoriferae and its counterfeits were screened.Conclusion:HS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D.odorifera and its counterfeits,which is suitable for rapid identification of them.

Dalbergia odoriferaauthenticationheadspace gas chromatography-mass spectrometry(HS-GC-MS)volatile componentsprincipal component analysis(PCA)orthogonal partial least squares-discriminant analysis(OPLS-DA)

赵莉、孟晓伟、李家荣、朱清、危先文、刘荣华、陈兰英

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江西中医药大学药学院,南昌 330004

江西中医药大学中药固体制剂制造技术国家工程研究中心,南昌 330006

降香 真伪鉴别 顶空气相色谱-质谱法(HS-GC-MS) 挥发性成分 主成分分析(PCA) 正交偏最小二乘法判别分析(OPLS-DA)

江西省自然科学基金国家自然科学基金国家自然科学基金国家自然科学基金国家重点研发计划

20224ACB2060438216073281360629816606762018YFC1706102

2024

中国实验方剂学杂志
中国中医科学院中药研究所 中国中西医结合学会中药专业委员会

中国实验方剂学杂志

CSTPCD北大核心
影响因子:1.62
ISSN:1005-9903
年,卷(期):2024.30(2)
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