基于Matlab的溶解有机物的三维荧光矩阵构建

Construction for 3D excitation emission matrix spectroscopy of dissolved organic matter based on Matlab

三维荧光光谱(EEM)结合平行因子分析(PARAFAC)能够根据水体中有机物的荧光性质对荧光组分特征、种类进行区分。大量原始数据以及常规的手工处理方式直接影响着该方法的广泛应用。提出了一种基于Matlab软件的三维荧光光谱数据快速转化为荧光矩阵的思路与方法。该方法根据不同研究者测定参数的不同,结合不同校正方法,可快速地将大量样品的三维荧光数据整合为三维荧光矩阵,通过具体数据验证荧光矩阵形成进行平行因子分析。该方法能够实现整个过程操作简单,人工干预少,可达到快速、批量完成三维荧光光谱数据处理的目的。

The parallel factor analysis （PARAFAC） technique is a popular method to interpret the ex- citation emission matrix spectroscopy （EEMs） in order to decompose the mixing fluorescent signal into distinctive peak （components）. However complex pretreatment and processes may hamper the effort to use this method. Thereby a new thought and program was put forward to transfer the excitation emission fluorescence data into matrix base on Matlab software. This method has features of rapid and less hu- man intervention. Calibration for fluorescence intensity and three dimensional matrix was efficiently per- formed after basic information of measure parameter input.