基于熒光光譜的液態(tài)混合物檢測方法及系統(tǒng)研究
[Abstract]:In this paper, the theory and application basis of liquid mixture detection method and system are studied. The fluorescence spectrum mechanism of synthetic food pigment and the fluorescence polarization characteristics of synthetic food pigment solution were studied by combining the experimental measurement with quantum calculation, and the fluorescence spectrum technique was combined with the multivariate statistical analysis algorithm. The determination method of each component in synthetic food pigment mixed solution and the determination method of commercial beverage were studied. The main research work is: 1. Using GUASSIAN software and density functional theory, the molecular spatial structure models of synthetic food pigment carmine and new red were optimized by using quantum chemical calculation method, and their vibration was calculated. The relative errors between the calculated and experimental values of fluorescence peak wavelengths of the two pigments are 3.8% and 0.78%, respectively, according to the frontier molecular orbital energy and fluorescence emission spectra. In addition, the quantum calculation of industrial pigment Sudan red Ig III, which is often illegally added to food, is carried out using a similar method. The calculated results are in good agreement with the experimental results. The fluorescence polarization spectra of 11 kinds of synthetic food pigment solutions allowed by our country were measured experimentally. The dipole moment variation of the new red and red molecules during the excited lifetime is analyzed. The average angular shifts of the corresponding emission dipole moments are 3.91 擄and 9.25 擄, respectively, and the spatial structure of the new red and red molecules is inferred. Therefore, a method based on fluorescence polarization characteristics to analyze the molecular spatial structure of food pigment was established. The three dimensional conventional and three dimensional synchronous fluorescence spectra of 11 kinds of synthetic food pigments were determined, and the fluorescence characteristic parameters were extracted. Based on this, the detection method of pigment was studied. Three-dimensional spectral data of seductive red and sunset yellow and bright blue mixed solution were calculated and analyzed by the second-order correction algorithm. The average relative error was less than 3.0%. The average relative error of pigment concentration in amaranth and bright blue mixed solution was 11%. Furthermore, the calculation and analysis of the same algorithm based on the synchronous spectral data show that the average relative error of the concentration of amaranth red pigment is 4.0, which shows that the synchronous spectrum can effectively solve the problem of spectral overlap and has more advantages in detection. Therefore, a new method of pigment detection based on fluorescence spectrum and second-order correction algorithm was established, and the qualitative and quantitative determination of each component in the mixed pigment solution was realized. Based on synchronous fluorescence spectrum and parallel factor algorithm, the concentration of amaranth in commercial cocktails was determined with an average relative error of 4.0. Based on derivative fluorescence spectrum and principal component analysis, apple juice was classified and identified. The quality of Liuwei Dihuang pills was identified and significant results were obtained. It is shown that the fluorescence spectrum technique combined with multivariate statistical analysis algorithm can effectively detect liquid mixtures. The results of this paper provide technical support for the application of fluorescence spectroscopy in the detection of liquid mixtures, and can also provide a reference for the study of detection methods of complex liquid mixtures.
【學(xué)位授予單位】:江南大學(xué)
【學(xué)位級別】:博士
【學(xué)位授予年份】:2017
【分類號】:O657.3;TS264.4
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