摘要
水体中污染物质在受到光激发时,不仅发出荧光,而且对荧光具有吸收作用,因此在应用荧光光谱定量分析水体多种污染成分时,导致分析结果不够准确．结合三维荧光光谱技术和PARAFAC算法,提出了一种用于多组分分析的非线性浓度校准模型,通过标样数据估计物质之间对荧光的吸收校准参数,应用于浓度反演中．实验结果表明,运用这种非线性的浓度校准模型可以改善多组分分析的性能,提高分析精度．
Once the dissolved organic matter in water absorbs the UV light, the fluorescence emission occurs, and the fluorescence can be absorbed by other matter in water. This absorptions affect the accuracy of multi-component analysis. A method of nonlinear concentration calibration for multi-component analyzing based on the technique of three-dimensional fluorescence spectrum and PARAFAC model was investigated. The absorption coefficient of each fluorescence component absorbed by other was especially estimated according to the standard sample data, and all the coefficients were used for each component concentration measurement. The obtained results show that the method improves the performance and accuracy of multi-component analysis.
出处
《量子电子学报》
CAS
CSCD
北大核心
2007年第3期306-310,共5页
Chinese Journal of Quantum Electronics
基金
中国科学院创新方向性项目(KGCX2-SW-111)资助
关键词
光谱学
三维荧光光谱
多组分分析
PARAFAC算法
spectroscopy
three-dimensional fluorescence spectrum
multi-component analysis
PARAFAC
