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Spectroscopic, thermodynamic and kinetic prediction models of dye mixtures in aqueous solutions.

机译:水溶液中染料混合物的光谱,热力学和动力学预测模型。

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The purpose of the research has been to develop mathematical models to predict concentration and dyeing rates for individual dyes and mixtures of dyes. The dyes studied were analyzed using spectroscopic and surface tension measurements, then the dyeing properties were determined by exhausting the dyes onto cotton fabric individually and in mixtures. Fixation of the dye to the substrate was not examined. Using a real-time data acquisition system, pH, temperature, conductivity, and absorbance across the visible spectrum was measured every ten seconds. Dye concentrations were predicted using constants derived by individual regression, multiple regression and Neural Network models. Kinetic properties were predicted using a limiting equation and an exponential model based on the Langmuir Isotherm. The non-additive spectra of the dye mixtures was described quantitatively and qualitatively as a concentration dependent function of the dye-dye interaction. Deviations from rate constants were likewise described by the extent of dye-dye interaction and the concentration of the interacting species. The state of the dye molecule in solution was determined to be an important factor in the spectroscopic measurement and the kinetic properties of dyeing with monochlorotriazine reactive dyes under industrial conditions.
机译:该研究的目的是开发数学模型,以预测单个染料和染料混合物的浓度和染色速率。使用分光光度法和表面张力测量法对所研究的染料进行分析,然后通过将染料单独或混合排放到棉织物上来确定其染色性能。没有检查染料在基质上的固定。使用实时数据采集系统,每十秒钟测量一次可见光谱的pH值,温度,电导率和吸光度。使用通过个体回归,多元回归和神经网络模型得出的常数预测染料浓度。使用极限方程和基于Langmuir等温线的指数模型预测动力学性质。染料混合物的非加性光谱被定量和定性地描述为染料-染料相互作用的浓度依赖性函数。同样通过染料-染料相互作用的程度和相互作用物质的浓度来描述速率常数的偏差。在工业条件下,确定溶液中染料分子的状态是光谱测量和一氯三嗪活性染料染色动力学特性的重要因素。

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