Solubility of Lacosamide in supercritical carbon Dioxide: An experimental analysis and thermodynamic modeling

Esfandiari, Nadia; Sajadian, Seyed Ali

doi:10.1016/j.molliq.2022.119467

Cited by 30 publications

(7 citation statements)

References 96 publications

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“…As indicated in AARD% in Table 6 , the best models are K–J, MST, Chrastil et al, and Bartle, respectively. The review of other studies regarding the solubility of pharmaceutical substances shows that model K–J is reported to be the best in many cases such as salsalate 46 , Favipiravir 18 , and Lacosamide 19 . MST models also presented acceptable capability to describe the solubility of verapamil in SC-CO 2 .…”

Section: Resultsmentioning

confidence: 99%

“…Lacosamide's experimental solubility results showed that its mole fractions in SC-CO 2 are assessed as having a minimum and maximum solubility at 338 K and pressures of 12 and 30 MPa, respectively. The modeling outcomes showed that the models' accuracy in describing the solubility of lacosamide declined in the following order: the modified Wilson model, PC-SAFT EoS, PR EoS, semi-empirical model K–J, MST, Bartle et al, and Chrastil 19 . MST and PC-SAFT are the most accurate models for fludrocortisone acetate solubility in SC-CO 2 20 .…”

Section: Introductionmentioning

confidence: 99%

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Solubility measurement of verapamil for the preparation of developed nanomedicines using supercritical fluid

Esfandiari,

Saadati Ardestani,

Alwi

et al. 2023

Sci Rep

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A static method is employed to determine the solubilities of verapamil in supercritical carbon dioxide (SC-CO2) at temperatures between 308 and 338 K and pressures between 12 and 30 MPa. The solubility of verapamil in SC-CO2 expressed as mole fraction are in the range of 3.6 × 10–6 to 7.14 × 10–5. Using four semi-empirical density-based models, the solubility data are correlated: Chrastil, Bartle, Kumar–Johnston (K–J), and Mendez-Santiago and Teja (MST), two equations of state (SRK and PC-SAFT EoS), expanded liquid models (modified Wilson's models), and regular solution model. The obtained results indicated that the regular solution and PC-SAFT models showed the most noteworthy exactness with AARD% of 1.68 and 7.45, respectively. The total heat, vaporization heat, and solvation heat of verapamil are calculated at 39.62, 60.03, and − 20.41 kJ/mol, respectively. Regarding the poor solubility of verapamil in SC-CO2, supercritical anti-solvent methods can be an appropriate choice to produce fine particles of this drug.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Solubility measurement of verapamil for the preparation of developed nanomedicines using supercritical fluid

Esfandiari,

Saadati Ardestani,

Alwi

et al. 2023

Sci Rep

Self Cite

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“…Given the many applications mentioned above, the evaluation of the solubility of medicaments in scCO 2 has increased dramatically in recent years. The following are just examples of published experimental solubility data in the last few years: favipiravir [26], lenalidomide [27], alendronate [28], gliclazide and captopril [29], chlorothiazide [30], salsalate [31], ipriflavone [32], carbamazepine [33], chloroquine [34], cefuroxime axetil [35], metformin [36], haloperidol [37], ketotifen fumarate [38], famotidine [39], lacosamide [40], glibenclamide [41], clonazepam [42], erlotinib hydrochloride [43], vitamin A [44], capecitabine [45], and loxoprofen [46]. These types of experimental measurements are timeconsuming and expensive [47].…”

Section: Introductionmentioning

confidence: 99%

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Sajadian,

Esfandiari,

Saadati Ardestani

et al. 2024

Chem Eng & Technol

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Mebeverine hydrochloride is an important drug to treat irritable bowel syndrome. The solubility of this drug in supercritical carbon dioxide was measured at temperatures from 35 to 65 °C and pressures from 12 to 30 MPa. Results were between 2.16 and 30.2 ppm by mole. The data were correlated with density‐based models (K‐J, MST, Chrastil, Garlapati and Madras, Bartle et al., and Sparks et al.) and equations of state (Peng‐Robinson, Soave, and Estévez et al. models). The mean relative deviation and corrected correlation coefficient were used to assess the goodness of the models. Based on all ten models, Sparks et al. performed best according to average absolute relative deviation (5.64 %), and Bartle et al. was the best according to Radj (0.997). However, this contribution's main merit is the reported experimental data.

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“…To determine one of the methods for the formation of nanoparticles of any medicinal substance, it is necessary to access the information on its solubility in the supercritical fluid. The solubility of many drugs has been investigated, such as Sunitinib malate [57], Ketoconazole [56,58], Lenalidomide [59], Favipiravir [60], Glibenclamide [61], Montelukast [62], Sertraline hydrochloride [63], Busulfan [64], Gliclazide [65], Febuxostat [66], Lacosamide [67], Erlotinib hydrochloride [68], and Clonazepam [70].…”

Section: Introductionmentioning

confidence: 99%

Kinetic Modeling to Explain the Release of Medicine from Drug Delivery Systems

Askarizadeh,

Esfandiari,

Honarvar

et al. 2023

ChemBioEng Reviews

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Proper medication dissolution must be ensured when developing or manufacturing a new solid dosage form. Quantitative analyses performed in dissolution or release tests become simpler when applying mathematical formulae which represent dissolution outcomes as a function of several dosage form properties. Methodologies utilized to examine the kinetics of drug release from controlled‐release formulations are reviewed. The analysis of variance was conducted using statistical, model‐independent, and ‐dependent techniques for the dissolution profile comparison and fitting, respectively. Model equations, including zero‐ and first‐order, Hixson‐Crowell, Weibull, Higuchi, Korsmeyer‐Peppas, Baker‐Lonsdale, Hopfenberg, etc., were employed to match the experimental data. Additional release parameters were taken to illustrate the drug release patterns. Using correlation factors and the Akaike information criterion (AIC), the best‐fitting model was discovered, as were the transport phenomena affecting the behavior of the recognized formulations.

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Solubility of Lacosamide in supercritical carbon Dioxide: An experimental analysis and thermodynamic modeling

Cited by 30 publications

References 96 publications

Solubility measurement of verapamil for the preparation of developed nanomedicines using supercritical fluid

Solubility measurement of verapamil for the preparation of developed nanomedicines using supercritical fluid

Measurement and Modeling of the Solubility of Mebeverine Hydrochloride in Supercritical Carbon Dioxide

Kinetic Modeling to Explain the Release of Medicine from Drug Delivery Systems

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