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超高效液相色谱-串联质谱法同时测定化妆品中5种植物提取物的14种标识性成分

Simultaneous Determination of 14 Indicative Components from Five Plant Extracts in Cosmetics by UPLC-MS/MS
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摘要 采用超高效液相色谱-串联质谱(UPLC-MS/MS)建立了同时测定化妆品中5种植物提取物的14种标识性成分含量的分析方法。样品经过80%(体积分数)甲醇水溶液超声提取后,采用Phenomenex Kinetex F5(100 mm×3.0 mm,2.6μm)色谱柱分离,以0.1%甲酸水溶液和乙腈为流动相进行梯度洗脱。质谱采用电喷雾离子源(ESI),正、负离子同时扫描,多反应监测(MRM)模式进行检测。结果表明,14种标识性成分在各自的质量浓度范围内线性关系良好(r>0.99),检出限(LOD)为0.1~16.0μg/kg,定量限(LOQ)为0.3~53.3μg/kg。14种标识性成分在4类基质和3个质量浓度水平下的平均回收率为83.6%~119.0%,相对标准偏差为1.1%~9.7%(n=6)。该方法具有简单、快速和灵敏度高等优点,适用于化妆品中多种植物提取物的标识性成分的定性鉴别及定量分析。 A method of ultra-high performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed for simultaneous determination of 14 indicative components from 5 plant extracts in cosmetics.The sample was ultrasonically extracted with 80%methanol solution,then separated on a Phenomenex Kinetex F5 column(100 mm×3.0 mm,2.6μm)by gradient elution using 0.1%formic acid solution and acetonitrile as the mobile phases.The mass spectrometry was used with electrospray ionization source,positive and negative ion simultaneous scanning and multiple reaction monitoring mode.The results showed that there were good linear relationships for 14 indicative components in their respective mass concentration rangers with the correlation coefficients(r)larger than 0.99.The limits of detection were in the ranges of 0.1-19.0μg/kg and the limits of quantitation were in the ranges of 0.3-53.3μg/kg.The recoveries at three spiked levels for 14 indicative components in four types of matrix were 83.6%-119.0%with the relative standard deviations of 1.1%-9.7%(n=6).With the advantages of simple,fast and high sensitivity,this method is suitable for qualitative identification and quantitative analysis of indicative components of multiple plant extracts in cosmetics.
作者 黄炜东 HUANG Weidong(Quanzhou Institute for Food and Drug Control,Quanzhou 362000)
出处 《分析科学学报》 CAS CSCD 北大核心 2024年第4期411-419,共9页 Journal of Analytical Science
关键词 超高效液相色谱-串联质谱 化妆品 植物提取物 标识性成分 UPLC-MS/MS Cosmetics Plant extracts Indicative components
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