不同冷却速率下原料药、大分子、氨基酸和无机材料在溶液中的成核速率和吉布斯自由能

IF 2.6 3区 化学 Q2 CHEMISTRY, MULTIDISCIPLINARY
CrystEngComm Pub Date : 2025-07-16 DOI:10.1039/D5CE00467E
Mayank Vashishtha and K. Vasanth Kumar
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引用次数: 0

摘要

在经典成核理论的基础上,提出了一个新的数学模型,利用亚稳区宽度(MSZW)数据作为溶解度温度的函数来预测成核速率、动力学常数和成核的吉布斯自由能。与Nývlt、Kubota和Sangwal广泛使用的模型不同,该模型在捕捉不同冷却速率的影响方面受到限制,该模型允许从不同冷却条件下获得的MSZW数据直接估计成核速率。这对于连续或半批结晶设计特别有利,其中冷却速率是一个关键变量。该模型已通过22种溶质-溶剂体系的实验数据成功验证,包括10种原料药、1种原料药中间体、溶菌酶和甘氨酸以及8种无机化合物。预测的成核速率范围为原料药的1020 - 1024分子/ m3 s,溶菌酶的成核速率可达1034分子/ m3 s,这是研究的最大分子。大多数化合物的成核自由能在4 ~ 49 kJ mol−1之间变化,溶菌酶的成核自由能达到87 kJ mol−1。该模型还可以准确预测感应时间和关键热力学参数,如表面自由能、临界核尺寸和单胞数,仅基于不同冷却速率下获得的MSZW数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Nucleation rate and Gibbs free energy of nucleation of APIs, large molecule, amino acid and inorganic materials in solution at different cooling rates†

Nucleation rate and Gibbs free energy of nucleation of APIs, large molecule, amino acid and inorganic materials in solution at different cooling rates†

We propose a new mathematical model based on the classical nucleation theory to predict the nucleation rate, kinetic constant, and Gibbs free energy of nucleation using metastable zone width (MSZW) data as a function of solubility temperature. Unlike widely used models by Nývlt, Kubota, and Sangwal, which are limited in capturing the impact of varying cooling rates, the proposed model allows direct estimation of nucleation rates from MSZW data obtained under different cooling conditions. This is particularly advantageous for continuous or semi-batch crystallisation design, where cooling rate is a critical variable. The model has been successfully validated using experimental data from 22 solute–solvent systems, including 10 APIs, one API intermediate, lysozyme, and glycine, as well as 8 inorganic compounds. Predicted nucleation rates span from 1020 to 1024 molecules per m3 s for APIs, and up to 1034 molecules per m3 s for lysozyme, the largest molecule studied. Gibbs free energy of nucleation varies from 4 to 49 kJ mol−1 for most compounds, reaching 87 kJ mol−1 for lysozyme. The model also enables accurate prediction of induction time and key thermodynamic parameters such as surface free energy, critical nucleus size, and number of unit cells—based solely on MSZW data obtained at different cooling rates.

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来源期刊
CrystEngComm
CrystEngComm 化学-化学综合
CiteScore
5.50
自引率
9.70%
发文量
747
审稿时长
1.7 months
期刊介绍: Design and understanding of solid-state and crystalline materials
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