Progress, problems, and potential of technology for measuring solution concentration in crystallization processes

Zhang, Fangkun; Du, Kang; Guo, Luyu; Huo, Yan; He, Kaixun; Shan, Baoming

doi:10.1016/j.measurement.2021.110328

Cited by 20 publications

(11 citation statements)

References 131 publications

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“…Growth rates highly depend on supersaturation (eq 7). Often relative supersaturation σ is used (7) with the load w and saturation load w*. In order to act on growth rate, a controller could, therefore, either act on solute concentration (e.g., through evaporation) or saturation concentration.…”

Section: Direct Growth Controlmentioning

confidence: 99%

“…Various methods for concentration measurement during crystallization are summarized by Zhang et al 7 Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy is often applied. 4,8,9 There are other methods, such as ATR spectroscopy with ultraviolet and visible light (ATR-UV/ vis) 10−14 impedance spectroscopy, 15,16 or refractometry.…”

Section: Introductionmentioning

confidence: 99%

“…Various methods for concentration measurement during crystallization are summarized by Zhang et al Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy is often applied. ,, There are other methods, such as ATR spectroscopy with ultraviolet and visible light (ATR-UV/vis) − impedance spectroscopy, , or refractometry. , However, all of these methods need calibration. This may be challenging, especially for complex mixtures in which potentially unknown impurities affect calibration.…”

Section: Introductionmentioning

confidence: 99%

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Direct Crystal Growth Control: Controlling Crystallization Processes by Tracking an Analogue Twin

Schiele

Bier

Ommert

et al. 2023

Ind. Eng. Chem. Res.

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Due to the dynamic interactions of various crystallization phenomena, crystallization processes are notoriously difficult to control. In some applications, supersaturation control is aimed for as it affects various phenomena. Direct nucleation control aims at controlling the number of crystals in suspension.Here, we propose direct crystal growth control (DGC). The new method avoids parametrization of the thermodynamic relation between concentration, temperature, and solubility. Instead, a single crystal is fixed in the crystallization vessel, and it acts as an analogue twin. The analogue twin enables inline growth rate measurement and serves as a proxy for the growth of the suspended crystals. Via temperature manipulation, the analogue twin's growth rate can be controlled to be kept constant. Growth rate of suspended crystals is then observed to be constant, too. However, hydrodynamic conditions for the analogue twin and suspended crystals were different and need to be further explored for a more accurate application of DGC. Temperature-dependent growth rates, the existence of molecular clusters in solution, and the potential use of the new growth rate probe for parameter estimation are discussed.

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Section: Direct Growth Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Direct Crystal Growth Control: Controlling Crystallization Processes by Tracking an Analogue Twin

Schiele

Bier

Ommert

et al. 2023

Ind. Eng. Chem. Res.

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“…Crystallization is a fundamental solid–liquid separation process with broad applications in the fields of chemistry, pharmaceuticals, food science, and materials engineering. , Notable aspects of crystallization include its ability to enhance the purification of substances, the production of high-quality materials, and the study of molecular interactions and structures. As the demand for high-quality products continues to grow and regulatory standards become more stringent, the study of crystallization has gained importance in industrial and research settings. , …”

Section: Introductionmentioning

confidence: 99%

Statistical Analyses of a Population Balance Model of a Batch Crystallization Process

Lima,

Barreto Correa,

de Moraes

et al. 2023

Crystal Growth & Design

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Crystallization is a widely employed separation technique that has received significant attention due to its industrial relevance, notably in the pharmaceutical industry. While numerous studies have described the underlying kinetic crystallization phenomena using population balance models, simplifying assumptions are usually considered, such as disregarding variable correlations without accounting for the statistical and numerical consequences. Therefore, this lack of detailed statistical analyses can compromise the reliability of at least some of these results. In this regard, the present work performs the statistical characterization of a potassium sulfate crystallization process with the help of population balance models. In order to do that, the model parameters were determined using reparameterization procedures and experimental data collected from multiple batches to mitigate the undesired effects of high correlation in measured variables, which characterize these experimental systems and respective model parameters. It is shown that the proposed approach can successfully represent the solute concentration, the zeroth-order moment, and the ratios between higher-order and zeroth-order moments, considering the available experimental data set. Particularly, the particle swarm optimization (PSO) method was applied for the characterization of the confidence regions of the parameter values. The obtained results indicate that the model-based quantitative analysis of crystallization models can significantly benefit from more statistical interpretation of parameter estimates and variable correlation effects.

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“…The solubility of a substance in organic solvents is an important property. Solubility data can provide the basic characteristics of the substance dissolution process, which is essential for the selection of solvents in the process of crystallization and purification. − Thermodynamic data also play a role in guiding the organic synthesis process. ,, At present, only solubility data of MTD in pure solvents can be achieved . There is rare paper on the solubility of MTD in aqueous binary solvents.…”

Section: Introductionmentioning

confidence: 99%

Measurement and Correlation of the Solubility of 2-Mercapto-1,3,4-thiadiazol in Aqueous Binary Solvent Mixtures

Gao²,

Gao

et al. 2022

J. Chem. Eng. Data

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The solubility of 2-mercapto-1,3,4-thiadiazol (MTD) in four kinds of aqueous mixed solvents including water + (methanol, ethanol, n-propanol, and acetone) was measured by the static gravimetric method in a temperature range of 278.15–323.15 K. The solubility of MTD in all selected aqueous mixed solvents was positively correlated with temperature. The solubility of MTD in the water + acetone solvent is higher than that in the other three solvents. There is a cosolvency phenomenon in the solvent systems of water + n-propanol and water + acetone. The polarity of good solvents plays an important role in the solubility of MTD in mixed solvents. Three thermodynamic models including the modified Jouyban–Acree model, NRTL model, and Wilson model were chosen to correlate the experimental data of MTD. The NRTL model fits the solubility data of MTD best among all of the selected thermodynamic models (with RAD = 0.0104, RMSD = 0.000432). The results demonstrate that all of the models can fit the experimental data well.

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Progress, problems, and potential of technology for measuring solution concentration in crystallization processes

Cited by 20 publications

References 131 publications

Direct Crystal Growth Control: Controlling Crystallization Processes by Tracking an Analogue Twin

Direct Crystal Growth Control: Controlling Crystallization Processes by Tracking an Analogue Twin

Statistical Analyses of a Population Balance Model of a Batch Crystallization Process

Measurement and Correlation of the Solubility of 2-Mercapto-1,3,4-thiadiazol in Aqueous Binary Solvent Mixtures

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