| 表面解吸常压化学电离质谱法快速判别樟树化学型 |
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| 引用本文： | 刘星星,方小伟,黄学勇,张婷婷,陈焕文,罗丽萍. 表面解吸常压化学电离质谱法快速判别樟树化学型[J]. 高等学校化学学报, 2016, 0(4): 654-660. DOI: 10.7503/cjcu20150684 |
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| 作者姓名： | 刘星星 方小伟 黄学勇 张婷婷 陈焕文 罗丽萍 |
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| 作者单位： | 1. 南昌大学食品科学与技术国家重点实验室,南昌,330047;2. 东华理工大学江西省质谱科学与仪器重点实验室,南昌,330013 |
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| 基金项目： | "十二五"农村领域国家科技课题(2012BDA29B01-3),国家自然科学基金(31370384),江西省高等学校科技落地计划项目(KJLD12051),江西省科技计划项目(20142BCB24005),南昌大学食品科学与技术国家重点实验室自由探索课题(批准号: SKLF-ZZB-201516)资助. Supported by the "Twelve Five" Issues in Rural Areas of National Science and Technology Plan Project;China(2012BDA29B01-3),the National Natural Science Foundation of China(31370384),the Floor Plan of Scientific and Technological Projects in Jiangxi Province |
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| 摘 要： | 采用表面解吸常压化学电离质谱(SDAPCI-MS)技术直接对5种化学型的樟树叶粉末片剂进行分析,获得其化学指纹谱图信息.采用主成分分析(PCA)、聚类分析(CA)和反向传输人工神经网络(BP-ANN)对谱图信息进行分析,获得各化学型樟树叶粉末片剂的特征质谱信息,进而对不同化学型样品进行判别.结果表明,在正离子模式下,SDAPCI-MS能快速获取樟树的化学指纹谱图;PCA分析中的PC1,PC2和PC3贡献率分别为79.9%,12.9%和4.2%,共计97.0%.SDAPCI-MS结合CA和BP-ANN测试样本准确率均为100%,能够快速、有效地判别出樟树化学型.
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| 关 键 词： | 樟树 化学型 表面解吸常压化学电离质谱 多变量分析 |
Rapid Discrimination of Chemotypes of Cinnamomum camphora by Surface Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry |
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| Abstract: | Surface desorption atmospheric pressure chemical ionization mass spectrometry( SDAPCI-MS) was selected to detect five chemotypes of C. camphora leaves powder and the raw mass spectral fingerprints of the powder samples were obtained. Principal component analysis ( PCA ) , cluster analysis ( CA ) and the back propagation artificial neural network technology( BP-ANN) were used to analyze the spectral information. The results showed that the SDAPCI-MS technique could got mass spectral fingerprints of C. camphora quickly in positive ion mode. The contribution rates of PC1, PC2, PC3 were 79. 9%, 12. 9% and 4. 2%, respectively, with a total of 97. 0% in PCA. The accuracy of discrimination of CA and BP-ANN of SDAPCI-MS was 100%. |
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| Keywords: | Cinnamomum camphora Chemotype Surface desorption atmospheric pressure chemical ionization mass spectrometry(SDAPCI-MS) Multivariate analysis |
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