非对映体
拉曼光谱
衰减全反射
泥浆
分辨率(逻辑)
结晶
分析化学(期刊)
傅里叶变换红外光谱
偏最小二乘回归
化学
傅里叶变换
光谱学
过程分析技术
化学计量学
生物系统
作文(语言)
红外光谱学
材料科学
色谱法
光学
化学工程
数学
计算机科学
有机化学
人工智能
物理
统计
数学分析
哲学
工程类
复合材料
语言学
生物
量子力学
生物过程
作者
Sze-Wing Wong,Christos Georgakis,Gregory D. Botsaris,Kostas Saranteas,Roger P. Bakale
摘要
This paper first demonstrates that the estimation of fractional solid composition of two diastereomers is possible by incorporating Raman spectra, slurry density, and temperature into a partial least squares (PLS) model. Since slurry density measurement is not readily available, the online estimation is obtained through another PLS model that utilizes online Raman spectroscopy, focus beam reflectance measurement (FBRM), attenuated total reflection Fourier transform infrared (ATR-FTIR), and/or additional process information such as temperature and agitation rate to infer slurry density online. It is argued that the model, which infers slurry density from IR spectra, gives more accurate estimation of the fractional composition of two diastereomers. Furthermore, the paper also successfully demonstrates through a third and a more general PLS model the ability of real time monitoring several crystallization process variables by the use of the aforementioned online measurements. Besides monitoring the changing diastereomeric composition and slurry density, one can also monitor the solute concentration of each diastereomer in a complex crystallization system.
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