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Crystallization diagram for antisolvent crystallization of lactose : using design of experiments to investigate continuous mixing- induced supersaturation

机译:乳糖反溶剂结晶的结晶图:使用实验设计研究连续混合引起的过饱和

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摘要

This study investigates the effects of key process parameters of continuous mixing-induced supersaturation on the antisolvent crystallization of lactose using D-optimal Design of Experiments (DoE). Aqueous solutions of lactose were mixed isothermally with antisolvents using a concentric capillary mixer. Process parameters investigated were the choice of antisolvent (acetone or isopropanol), concentration of lactose solution, total mass flow rate, and the ratio of mass flow rates of lactose solution and antisolvent. Using a D-optimal DoE a statistically significant sample set was chosen to explore and quantify the effects of these parameters. The responses measured were the solid state of the lactose crystallized, induction time, solid yield and particle size. Mixtures of α-lactose monohydrate and β-lactose were crystallized under most conditions with β-lactose content increasing with increasing amount of antisolvent. Pure α-lactose monohydrate was crystallized using acetone as the antisolvent, with mass flow ratios near 1:1, and near saturated solutions of lactose. A higher resolution DoE was adopted for acetone and was processed using multivariate methods to obtain a crystallization diagram of lactose. The model was used to create an optimized process to produce α-lactose monohydrate and predicted results agreed well with those obtained experimentally, validating the model. The solid state of lactose, induction time, and solid yield were accurately predicted.
机译:这项研究使用D-最佳实验设计(DoE)研究了连续混合诱导的过饱和的关键工艺参数对乳糖的反溶剂结晶的影响。使用同心毛细管混合器将乳糖水溶液与抗溶剂等温混合。研究的工艺参数包括抗溶剂(丙酮或异丙醇)的选择,乳糖溶液的浓度,总质量流率以及乳糖溶液和抗溶剂的质量流率之比。使用D最佳DoE,选择具有统计学意义的样本集来探索和量化这些参数的影响。所测量的响应是结晶的乳糖的固态,诱导时间,固体产率和粒径。在大多数条件下,α-乳糖一水合物和β-乳糖的混合物会结晶,β-乳糖的含量会随着抗溶剂用量的增加而增加。使用丙酮作为抗溶剂,将纯的α-乳糖一水合物结晶,其质量比接近1:1,乳糖接近饱和溶液。丙酮采用了较高分辨率的DoE,并使用多元方法进行了处理,从而获得了乳糖的结晶图。该模型用于创建生产α-乳糖一水合物的优化工艺,并且预测结果与通过实验获得的结果吻合良好,从而验证了该模型。准确预测了乳糖的固态,诱导时间和固体产率。

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