摘要
建立了拉曼光谱法鉴别不同的黄色蜡质。通过532 nm和633 nm波长的激发光对黄蜂蜡和小烛树蜡进行拉曼光谱分析,并利用化学计量学工具找出造成差异的关键因素。运用主成分(PCA)和偏最小二乘(PLS)法对数据进行分析,可以得到这2种蜡质很好的聚类结果,并通过模型在532 nm条件下成功预测了未知样品的类别。最后,利用变量投影重要性分析得到它们的差异主要在于醇类含氧物质的含量或形态的不同。
Raman spectroscopy was applied to identify different yellow waxes in this paper.Raman spectroscopic analysis of wasp was and candelilla wax was performed by excitation light at wavelengths of 532 nm and 633 nm,and the key factors that caused the differences were identified using chemometrics tools.The principal component(PCA)and partial least squares(PLS)methods were utilized to analyze the data,and fine grouping results of these two waxes were acquired;moreover,unknown samples were successfully predicted at 532 nm by the established model.Lastly,by the variable projection importance analysis,the chemical differences between these two kinds of waxes were figured out,which mainly lied in the content or morphology of the alcohol oxygenated substance.
作者
叶宇晗
张书迪
陈芳芳
庞海月
王贵弘
YE Yuhan;ZHANG Shudi;CHEN Fangfang;PANG Haiyue;WANG Guihong(Engineering Research Center of Natural Cosmeceuticals College of Fujian Province,Xiamen Medical College,Xiamen 361023,Fujian,China;Department of Public Health and Medical Technology,Xiamen Medical College,Xiamen 361023,Fujian,China)
出处
《香料香精化妆品》
CAS
2023年第5期115-120,共6页
Flavour Fragrance Cosmetics
基金
福建省自然科学基金青年创新项目(编号2022J05321)
厦门医学院大学生创新创业训练计划项目(编号202212631063)。
关键词
拉曼光谱法
蜡质鉴别
化学计量学
主成分分析法
偏最小二乘法
Raman spectroscopy
wax discrimination
chemometrics
principal component analysis
partial least square method
