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Solubility of Sodium Acetate in Ternary Mixtures of Methanol, 1-Propanol, Acetonitrile, and Water at 298.2 K

机译:乙酸钠在298.2 K下的甲醇,1-丙醇,乙腈和水的三元混合物中的溶解度

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摘要

The solubility of sodium acetate in ternary solvent mixtures of water + methanol (MeOH) + acetonitrile (ACN), water + MeOH + 1-propanol (PrOH), water + PrOH + ACN, and MeOH + PrOH + ACN at 298.2 K is reported and mathematically represented using two numerical analyses (based on measured solubility data in 54 ternary mixtures containing the particular solvents in the mass fraction ranges between 0.08 and 0.84). In the first analysis, the solubility is predicted using the Jouyban—Acree model constants for the binary mixtures of the respective solvent pairs that were used to prepare the ternary mixtures. By this approach, the overall mean percentage deviation (OMPD) of the predicted data in ternary solvents is 57 96. The largest OMPD for this model was up to 80 % for a mixture of water, PrOH, and ACN. To improve the model, an additional term (with ternary constants J) was included, reflecting the combined effect of all three solvents in a mixture. By this numerical analysis, the experimental ternary solubility data is used to calculate the additional ternary constants. After employing the calculated constants, the prediction of the solubility in the ternary mixtures was improved significantly by a factor of 2 with an OMPD of 25 %. As an additional ability of the Jouyban—Acree model, the density of the solute saturated solutions in the solvent mixtures is predicted using three numerical methods; i.e., (i) data of solute saturated solutions in the binary solvent mixtures, (ii) ternary mixtures, and (iii) density data of solute free binary solvent mixtures with predicting errors (OMPD) of 1.2 %, 3.0 96, and 2.8 %, respectively.
机译:据报道乙酸钠在298.2 K下在水+甲醇(MeOH)+乙腈(ACN),水+ MeOH + 1-丙醇(PrOH),水+ PrOH + ACN和MeOH + PrOH + ACN的三元溶剂混合物中的溶解度并使用两个数值分析进行数学表示(基于在质量分数范围为0.08至0.84的54种含特定溶剂的三元混合物中测得的溶解度数据)。在第一个分析中,使用Jouyban-Acree模型常数针对用于制备三元混合物的各个溶剂对的二元混合物预测溶解度。通过这种方法,三元溶剂中预测数据的总体平均百分偏差(OMPD)为5796。对于该模型,水,PrOH和ACN的混合物的最大OMPD高达80%。为了改善模型,增加了一个附加项(具有三元常数J),以反映混合物中所有三种溶剂的综合作用。通过该数值分析,将实验三元溶解度数据用于计算其他三元常数。使用计算出的常数后,三元混合物中溶解度的预测值将显着提高2倍,OMPD为25%。作为Jouyban-Acree模型的一项附加功能,可以使用三种数值方法来预测溶剂混合物中溶质饱和溶液的密度。即(i)二元溶剂混合物中的溶质饱和溶液数据,(ii)三元混合物和(iii)无溶质二元溶剂混合物的密度数据,预测误差(OMPD)为1.2%,3.0 96和2.8% , 分别。

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