Improving Component Analysis Ability of the Complex Mixed Solutions by Multi-Dimensional Diffuse Transmittance Spectrometry
XIONG Chan1, 4, LIN Ling1, WANG Meng-jun2, LI Gang1, 4, ZHANG Bao-ju3*
1. State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China 2. School of Information Engineering, Hebei University of Technology, Tianjin 300401, China 3. College of Physics and Electronic Information, Tianjin Normal University, Tianjin 300387, China 4. Tianjin Key Laboratory of Biomedical Detecting Techniques & Instruments, Tianjin University, Tianjin 300072, China
Abstract：The multi-dimensional diffuse transmittance spectrums were collected by the traditional near-infrared transmittance method combined with a scanning device, and then used for component analysis of the complex mixed solution. A xenon light, an electric control translation stage and a spectrometer were gathered to set up a device; Intralipid-20%, India-ink and C6H12O6 were used to prepare 225 kinds of complex mixed solutions; the diffuse transmittance spectrums were measured at 20 points off the transmission center distributed from 0~5 mm (interval 0.25 mm); the single and multi-point diffuse transmittance spectrums were analyzed by partial least squares regression for modeling and prediction. The results show that the modeling and prediction accuracy of the concentrations of the intralipid-20% and India-ink increased with the growing of the transmittance points, but the concentration of the C6H12O6 did not increase. It is proved that the spectrums collected by different points can raise the signal to noise radio of the strong absorption and scattering substance, and the signal to noise radio of the weak absorption and scattering substance would be improved by increasing the current system accuracy.
Key words：Complex mixed solution;Multi-dimensional;Component analysis;Partial least square regression
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