A five-parameter empirical model for correlating the solubility of solid compounds in supercritical carbon dioxide

Bian, Xiaoqiang; Zhang, Qian; Du, Zhijiang; Chen, Jing; Jaubert, Jean‐Noël

doi:10.1016/j.fluid.2015.12.017

Cited by 84 publications

(38 citation statements)

References 55 publications

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“…The global mean Adj. R 2 differences between the new model and category I–III models other than Bian et al (2016) , Hozhabr et al , Jouyban et al , Keshmiri et al , Khansary et al , Kumar and Johnston , and Belghait et al. , are found to be statistically significant (paired t test, p < 0.05).…”

Section: Resultsmentioning

confidence: 99%

“…For statistical analysis, the square of correlation coefficient ( R 2 ), adjusted R 2 (Adj. R 2 ), root mean square deviation ( RMSE ), and sum of squares due to error ( SSE ) are employed . Higher values of R 2 (∼1) indicate the model ability in estimating data points closer to experimental values and R 2 can be biased for models with different numbers of parameters.…”

Section: Methodsologymentioning

confidence: 99%

“…The global mean Adj. R 2 differences between the new model and category I-III models other thanBian et al (2016) [30],…”

mentioning

confidence: 90%

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Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Reddy

Garlapati

2019

Chem Eng & Technol

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The accurate experimental determination of pharmaceutical compound solubilities at various temperature and pressure ranges in supercritical carbon dioxide (ScCO2) is a challenging and time‐consuming task. Therefore, prediction or correlations of solute solubilities are essential for implementation of ScCO2 technologies to pharmaceutical industries. Solubilities of 41 pharmaceutical compounds in ScCO2 are correlated by an empirical model, which is developed based on the degree of freedom analysis. Its correlating ability is compared with existing solubility models elaborated by other authors and evaluated in terms of global mean absolute relative deviation, sum of squares due to error, root mean square deviation, R2, and Adj. R2. The proposed model is found to correlate better than existing models.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsologymentioning

confidence: 99%

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Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Reddy

Garlapati

2019

Chem Eng & Technol

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“…In fact, these models are more accurate than other methods and present mathematical relationships based on experimental data. Many research papers have been conducted to determine the solubility using the semi‐empirical models, leading to satisfactory results . In comparison to semi‐empirical models, determining the solubility using equations‐of‐state is more complex and more data on solute properties are needed.…”

Section: Introductionmentioning

confidence: 99%

Effect of Stearic Acid as a Co‐solvent on the Solubility Enhancement of Aspirin in Supercritical CO₂

2019

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The solubility of aspirin in supercritical CO 2 (SC-CO 2 ) with stearic acid as a co-solvent was measured at various pressures and temperatures. The experimental data were obtained by a static method. Stearic acid had a significant effect on the enhancement of solubility, as the aspirin solubility increased by up to 16 times. Further, the effect of stearic acid on the solubility enhancement of aspirin was compared with that of other co-solvents. Different semi-empirical models from the literature were applied for correlating the experimental data, proving good agreement with the experimental data. The model of Sung and Shim exhibited the lowest deviation from the obtained data. The results of the solubility test can be employed to produce aspirin-based pharmaceuticals using supercritical fluid technology (SFT).

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“…The pressuresensitive effects are not considered in most of their studies as well (Hu et al, 2014). Some other researchers analyzed the influence of pressure on the fluid density changes and obtained the relationship between sulfide solubility and pressure in the reservoir fluid through many experiments (Hu et al, 2014(Hu et al, , 2017bZhao et al, 2015;Bian et al, 2016;Guo and Wang, 2016;He et al, 2016;Mao et al, 2016;Ou et al, 2016;Ren et al, 2016;Sun et al, 2016;Roberts, 2017;Li et al, 2018). Other researchers also used mathematical methods, such as Grey Correlation Method, to predict the sulfur solubility (Bian et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

The impact of sulfur precipitation in developing a sour gas reservoir with pressure-sensitive effects

2019

Adv. Geo-Energ. Res.

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During the development of high sulfur gas fields, gaseous sulfur is likely to precipitate and deposit in the reservoirs due to the changes of temperature, pressure, and gas compositions. Therefore, how to establish an accurate prediction model of elemental sulfur solubility in gas mixtures is a key issue. At present, most scholars use Roberts elemental sulfur solubility model (SPE Reserv. Eng. 1997, 12(2): 118-123) to describe the damage caused by sulfur deposition in high-sulfur gas reservoirs. However, some scholars believe that the Roberts model needs to be improved and relevant works have been done. In this study, a one-dimensional radial production model is established using the HU model (J. Nat. Gas Sci. Eng. 2014, 18: 31-38) and the Roberts elemental sulfur solubility model. These models can be used to describe the permeability and pressure changes caused by sulfur deposition more accurately. The results show that the permeability and pressure changes in the Roberts model are larger than that of which in the HU model and the pressure-sensitive effects may increase the reservoir damage. The comparison of the calculated results with the true values shows that the HU model is more accurate. This paper may change a number of views about sulfur deposition in high-sulfur gas reservoirs.

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A five-parameter empirical model for correlating the solubility of solid compounds in supercritical carbon dioxide

Cited by 84 publications

References 55 publications

Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Effect of Stearic Acid as a Co‐solvent on the Solubility Enhancement of Aspirin in Supercritical CO₂

The impact of sulfur precipitation in developing a sour gas reservoir with pressure-sensitive effects

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A five-parameter empirical model for correlating the solubility of solid compounds in supercritical carbon dioxide

Cited by 84 publications

References 55 publications

Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Dimensionless Empirical Model to Correlate Pharmaceutical Compound Solubility in Supercritical Carbon Dioxide

Effect of Stearic Acid as a Co‐solvent on the Solubility Enhancement of Aspirin in Supercritical CO2

The impact of sulfur precipitation in developing a sour gas reservoir with pressure-sensitive effects

Contact Info

Product

Resources

About

Effect of Stearic Acid as a Co‐solvent on the Solubility Enhancement of Aspirin in Supercritical CO₂