Recent Advances in Crystallization control

Yu, Zai Qun; Chew, Jia Wei; Chow, Pui Shan; Tan, Reginald B. H.

doi:10.1205/cherd06234

Cited by 132 publications

(108 citation statements)

References 102 publications

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“…The influence of polymorphism and solvates on the physical properties of the solid, such as crystal habit, solubility, speed of dissolution, density, hardness, optical properties (color), melting point, bio-availability and chemical reactivity is known and requires profound consideration in crystallization process design and control [38,39]. In awareness of a distinct need, all industries dealing with pure or formulated solids, particularly the pharmaceutical industry know about the importance of polymorph or solvate monitoring and control (including formation, prediction, transformation, and stability) [38,40]. Latter requires a deep understanding of the kinetics and thermodynamics of the polymorphic or solvate system and will not be further discussed here [41].…”

Section: Polymorph and Solvate Screeningmentioning

confidence: 99%

Problems, potentials and future of industrial crystallization

Ulrich

Frohberg

2013

Front. Chem. Sci. Eng.

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This review discusses important research developments and arising challenges in the field of industrial crystallization with an emphasis on recent problems. The most relevant areas of research have been identified. These are the prediction of phase diagrams; the prediction of effects of impurities and additives; the design of fluid dynamics; the process control with process analytical technologies (PAT) tools; the polymorph and solvate screening; the stabilization of non-stable phases; and the product design. The potential of industrial crystallization in various areas is outlined and discussed with particular reference to the product quality, process design, and control. On this basis, possible future directions for research and development have been pointed out to highlight the importance of crystallization as an outstanding technique for separation, purification as well as for product design.

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Section: Polymorph and Solvate Screeningmentioning

confidence: 99%

Problems, potentials and future of industrial crystallization

Ulrich

Frohberg

2013

Front. Chem. Sci. Eng.

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“…The optimization process uses PB equations with both openloop and closed-loop schemes being evaluated. Tan and co-workers [157,178] applied seeding and constant supersatuation control strategy using ATR-FTIR and also internal seeding technique in antisolvent crystallisation to achieve consistent product quality including purity and CSD. Braatz and co- Detailed simulation and experimental studies showed that by controlling concentration instead of temperature profile, the control strategy can have much lower sensitivities to most practical disturbances and to variations in the nucleation and growth kinetics [183].…”

Section: Optimisation and Control Of Crystal Size Distribution (Csd)mentioning

confidence: 99%

“…Closed-loop control of crystal shape in a crystalliser, however, has long been considered to be too challenging to achieve mainly due to the limitations of available measurement techniques and modelling capabilities, hence its research being relatively scarce [178]. However, there have been very promising advances recently in both on-line characterization and modelling of crystal shape evolution for crystallisation processes, which could ultimately lead to practical solutions to closed-loop shape control.…”

Section: Crystal Shape Optimisation and Control Using Mpbmsmentioning

confidence: 99%

Measurement, modelling, and closed-loop control of crystal shape distribution: Literature review and future perspectives

2016

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Crystal morphology is known to be of great importance to the end-use properties of the crystal product and affect the down-stream processing such as in filtration and drying, but was previously regarded as too challenging to achieve automatic closed-loop control. As a consequence, previous work has focused on control the crystal size distribution (CSD) where the size of a crystal is often defined as the diameter of a sphere that has the same volume of the crystal. This paper reviews very promising new advances made in recent years in morphological population balance models for modelling and simulation of crystal shape distribution (CShD), measurement and estimation of crystal facet growth kinetics, as well as in 2D and 3D imaging for on-line characterisation of crystal morphology and CShD. A framework is presented integrating various components in order to achieve the ultimate objective of model-based closed-loop control of CShD. The knowledge gaps and challenges that require further research are also identified.

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“…Due to the limits of industrial sensors and working conditions, e.g. measurement of conductivity is not available for the majority of organic solvents, the above mentioned techniques have not been widely applied for industrial crystallization monitoring and control [6,7]. With the rapid development of spectroscopy technology, the corresponding instruments for in-situ/online measurement have been developed for crystallization process monitoring, including attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), near infrared (NIR) spectroscopy, and ATR-UV/vis.…”

Section: Introductionmentioning

confidence: 99%

Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization

Zhang

Liu

Wang

et al. 2017

Journal of Crystal Growth

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Abstract:In this paper calibration model building based on using an ATR-FTIR spectroscopy is investigated for in-situ measurement of the solution concentration during a cooling crystallization process. The cooling crystallization of L-glutamic Acid (LGA) as a case is studied here. It was found that using the metastable zone (MSZ) data for model calibration can contribute to the prediction accuracy, compared to the usage of undersaturated zone (USZ) spectra as traditionally practiced which may lead to undesired bias for prediction of the MSZ concentration. Calibration experiments were made for LGA solution under different concentrations. Four candidate calibration models were established using different zone data for comparison, based on a multivariate partial least-squares (PLS) regression algorithm for the collected spectra together with the corresponding temperature values. Experiments under varied concentrations and operational changes of temperature were conducted. The results indicate that using MSZ spectra for model calibration can give more accurate prediction of the solution concentration during the crystallization process. The primary reason was clarified as spectral nonlinearity for measurement between USZ and MSZ. In addition, an LGA cooling crystallization experiment was performed to verify the sensitivity of these calibration models for monitoring the crystal growth process.

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Recent Advances in Crystallization control

Cited by 132 publications

References 102 publications

Problems, potentials and future of industrial crystallization

Problems, potentials and future of industrial crystallization

Measurement, modelling, and closed-loop control of crystal shape distribution: Literature review and future perspectives

Comparative study on ATR-FTIR calibration models for monitoring solution concentration in cooling crystallization

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