拉曼特征峰提取在多组分混合溶液检测中的应用

Application of Raman Spectra Feature Extraction in Material Identification

拉曼光谱作为一种快速、无损检测技术受到越来越多的关注,已经广泛应用于食品安全监督、纺织纤维分析、危险品和毒品的检测、考古鉴定等多个领域。本文主要利用不同物质的拉曼光谱所具有的明显特征峰,提出了一种基于拉曼光谱特征峰提取的多组分混合溶液检测方法。该方法可以直接测得混合溶液的激光拉曼光谱,然后经过光谱预处理与特征峰提取、特征峰匹配的方法,能够定性的识别出混合溶液中的主要物质成分。利用甲醇、甲苯、丙酮、乙醇分别进行混合识别,从而验证了算法的有效性。实验结果表明,整个识别过程快速、有效,需要样品量少、无需前处理,测试过程对样品无损,不产生化学污染物,是对混合溶液检测的一种有效方法。

As a fast,nondestructive detection technology,Raman spectra received more and more attention.It has been widely used in many fields,such as food safety supervision,textile fiber analysis,detection of dangerous goods and drugs,archaeology appraisal.The author performed a detection method used to find out the major substances in multicomponent mixture solution based on the different substance＇s Raman spectrum characteristic peak.This method can identify qualitative material composition in the mixture with the steps of measuring the mixture raman spectroscopy,then preprocessing original spectra,picking up characteristic peak and matching peak.We verifi ed the validity of the algorithm by using methanol,toluene,acetone and ethanol＇s mixture recognition.The whole identification process is damagefree,pollution-free and suitable for various mixtures.Compared to all existing methods,this Raman spectrum identification method can solve the limitation of efficiency,pollution,universality,and fi ll a dap inspection fi eld.