Solubilities of 10-undecenoic acid and geraniol in supercritical carbon dioxide

Lamba, Neha; Narayan, Ram C.; Modak, Jayant M.; Madras, Giridhar

doi:10.1016/j.supflu.2015.09.026

Cited by 39 publications

(15 citation statements)

References 46 publications

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“…Among various models considered in this work, we examined the goodness of the model through Akaike’s information criterion (AIC). Mathematically, AIC could be expressed as − In eq , σ 2 , Q , and N are SSE/ N and constants in the individual model and number of observations, respectively.…”

Section: Resultsmentioning

confidence: 99%

Solubility of Amlodipine Besylate (Calcium Channel Blocker Drug) in Supercritical Carbon Dioxide: Measurement and Correlations

Sodeifian¹,

Garlapati

Razmimanesh³

et al. 2021

J. Chem. Eng. Data

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Section: Resultsmentioning

confidence: 99%

Solubility of Amlodipine Besylate (Calcium Channel Blocker Drug) in Supercritical Carbon Dioxide: Measurement and Correlations

Sodeifian¹,

Garlapati

Razmimanesh³

et al. 2021

J. Chem. Eng. Data

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“…The models used in correlation exercise, have a varying number of parameters and the best model is obtained with the help of Akaike’s information criterion (AIC) 45 – 49 . The data used in this exercise is small (N < 40), hence corrected AIC (AIC c ) is used for the identifying the best model.…”

Section: Resultsmentioning

confidence: 99%

“…The correlating ability of a model depends on the number of its parameter. The Akaike’s information criterion (AIC) 45 – 49 is used to assess the correlating efficacy of a model regardless of the number of its parameters. where N is number of experimental data points; is model parameters; SSE is error sum of squares.…”

Section: Modelsmentioning

confidence: 99%

Measurement and modeling of clemastine fumarate (antihistamine drug) solubility in supercritical carbon dioxide

Sodeifian

Garlapati

Razmimanesh

et al. 2021

Sci Rep

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The solubilities of clemastine fumarate in supercritical carbon dioxide (ScCO2) were measured for the first time at temperature (308 to 338 K) and pressure (12 to 27 MPa). The measured solubilities were reported in terms of mole faction (mol/mol total) and it had a range from 1.61 × 10–6 to 9.41 × 10–6. Various models were used to correlate the data. The efficacy of the models was quantified with corrected Akaike’s information criterion (AICc). A new cluster salvation model was derived to correlate the solubility data. The new model was able to correlate the data and deviation was 10.3% in terms of average absolute relative deviation (AARD). Furthermore, the measured solubilities were also correlated with existing K.-W. Chen et al., model, equation of state model and a few other density models. Among density models, Reddy and Garlapati model was observed to be the best model and corresponding AARD was 7.57% (corresponding AICc was − 678.88). The temperature independent Peng–Robinson equation of state was able to correlate the data and AARD was 8.25% (corresponding AICc was − 674.88). Thermodynamic parameters like heats of reaction, sublimation and solvation of clemastine fumarate were calculated and reported.

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“…The models used in correlation exercise are having varying number of parameters and the best model is obtained with the help of Akaike's information criterion (AIC) [55][56][57][58][59] . The data used in this exercise is small (N<40), hence corrected AIC (AICc) is used for the identifying the best model.…”

Section: Resultsmentioning

confidence: 99%

Measurement and Modeling of Clemastine Fumarate (Antihistamine Drug) Solubility in Supercritical Carbon Dioxide

Sodeifian

Garlapati²,

Razmimanesh

et al. 2021

Preprint

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The solubilities of clemastine fumarate in supercritical carbon dioxide) ScCO2( were measured for the first time at temperature (308 to 338 K) and pressure (12 to 27 MPa). The measured solubilities were reported in terms of mole faction and it is ranged from 1.61 ×10− 6 to 9.41×10− 6. Various models were used to correlate the data. The efficacy of the models was quantified with corrected Akaike’s information criterion (AICc). A new cluster salvation model was derived to correlate the solubility data. The new model was able to correlate the data and deviation was 10.3% in terms of average absolute relative deviation (AARD). Furthermore, the measured solubilities were also correlated with existing K.-W. Chen et al., cluster salvation model, equation of state (EoS) model and few density models. Among density models, Tippana and Garlapati model was observed to be the best model and corresponding AARD% was 7.57 (corresponding AICc is -678.88). The Peng-Robinson equation of state as temperature independent was able to correlate the data and deviation was 8.25% in terms of AARD% (corresponding AICc is -674.88). Moreover, thermodynamic enthalpies of clemastine fumarate were estimated.

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Solubilities of 10-undecenoic acid and geraniol in supercritical carbon dioxide

Cited by 39 publications

References 46 publications

Solubility of Amlodipine Besylate (Calcium Channel Blocker Drug) in Supercritical Carbon Dioxide: Measurement and Correlations

Solubility of Amlodipine Besylate (Calcium Channel Blocker Drug) in Supercritical Carbon Dioxide: Measurement and Correlations

Measurement and modeling of clemastine fumarate (antihistamine drug) solubility in supercritical carbon dioxide

Measurement and Modeling of Clemastine Fumarate (Antihistamine Drug) Solubility in Supercritical Carbon Dioxide

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