Measuring and modeling the solubility of sulfasalazine in supercritical carbon dioxide to select methods for producing nanoparticles DOI Creative Commons

Yahia Alghazwani,

Mohammed Ghazwani, Sirajunisa Talath

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 4, 2024

In the present study, solubility of sulfasalazine in carbon dioxide was investigated at temperatures ranging from 313 K to 343 and pressures 12 30 MPa. The experimentally determined molar solubilities ScCO2 were found be range 4.08 × 10− 5 8.61 K, 3.54 11.41 323 3.04 13.64 333 2.66 16.35 K. values correlated via a number different types equations, such as semi-empirical correlations, Peng-Robinson, PC-SAFT equation, regular solution. Furthermore, findings demonstrate that semi-empirical, equation state models, solution model possess capability precisely determining solubility. Moreover, magnitude suggests gas anti-solvent method may viable approach for nanoparticle production.

Language: Английский

Application of machine learning approach to estimate the solubility of some solid drugs in supercritical CO2 DOI Creative Commons

Zahra Bahrami,

Fatemeh Bashipour, Alireza Baghban

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 12, 2025

Accurate estimation of the solubility solid drugs (SDs) in supercritical carbon dioxide (SC-CO2) plays an essential role related technologies. In this study, artificial intelligence models (AIMs) by gene expression programming (GEP) and adaptive neuro-fuzzy inference system (ANFIS) methods were applied to estimate SDs SC-CO2. Hence, a comprehensive database (1816 datasets) comprising operational conditions (T, P) wide ranges (308–348.2 K 80–400 bar), SD's molecular weight (MWSDs), melting point (MPSDs) gathered. Investigation analysis models' strength showed that model developed ANFIS exhibited more satisfactory approximation than GEP model. According optimized model, statistical parameters R2, RMSE, MAE, AARD% obtained, equivalent 0.991, 0.260, 0.167, 13.890% for training 0.990, 0.256, 0.157, 15.273% validation, order. Sensitivity highest effect independent variables on calculating SC-CO2 belong MWSDs, P, MPSDs, T, respectively. Therefore, MWSDs is key factor modeling various Comparing estimated results obtained from AIM with previous semi-empirical AIMs could be accurate

Language: Английский

Citations

5

Determination of 5-fluorouracil anticancer drug solubility in supercritical CO2using semi-empirical and machine learning models DOI Creative Commons
Gholamhossein Sodeifian, Ratna Surya Alwi,

Reza Derakhsheshpour

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 7, 2025

In order to provide the facilities design supercritical fluid (SCF) processes for micro or nanosizing of solid solute compounds such as drugs, it is essential obtain their solubility in green solvents like pressurized CO2. This important role first stage assessing each SCF technology. A statistical method was developed time and employed determine 5-fluorouracil (5-Fu) solubility. The measurements were performed at different pressures (120-270 bar) temperatures (308-338 K) through UV-vis spectrophotometry, time. obtained between 0.0024 0.0176 g/L. 5-Fu mole fraction constant temperature, increases with an increase pressure. Whereas, a crossover point has been seen. Three models approaches applied correlate model experimental data set: (i) seven density-based models, (ii) PR equations state (vdW2 mixing rule), (iii) machine learning-based namely non-linear regressions, Random Forest, Gradient Boosting, Decision Tree, Kernel Ridge. All tested successfully within acceptable accuracy. Meanwhile, empirical suggested by Sodeifian 2, superior lowest AARD% (AARD = 4.12%). Finally, total, solvation, vaporization enthalpies drug/Sc-CO2 binary system determined using semi-empirical correlations,

Language: Английский

Citations

2

Micro and nanosizing of Tamsulosin drug via supercritical CO2 antisolvent (SAS) process DOI Creative Commons

Seyed Mojtaba Hazaveie,

Gholamhossein Sodeifian, Nedasadat Saadati Ardestani

et al.

Journal of CO2 Utilization, Journal Year: 2024, Volume and Issue: 84, P. 102847 - 102847

Published: June 1, 2024

Supercritical anti-solvent (SAS) method is a solvent-free approach where supercritical carbon dioxide (SC-CO2) used as and one can control the output particle size without disturbing nature of particles. The primary objective this study to develop SAS for production Tamsulosin (TML) nanoparticles investigate parameters affecting resultant size. In order optimize nano-sized particles, response surface methodology (RSM) based on Box-Behnken design (BBD (was used. Using dynamic light scattering (DLS) scanning electron microscopy (SEM) analyses, morphologies mean diameter ranges were examined. To look into how process affects TML's chemical physical characteristics, Fourier-transform infrared spectroscopy (FT–IR), X-ray diffraction analysis (XRD) differential calorimetry (DSC) further performed. acquired results demonstrated that pressure imposes largest impact TML production, with exhibiting an inverse correlation pressure. Observations indicated increase in increasing temperature from 35 50 °C. By flow rate drug solution, average exhibited initial decrease followed by trend. Results optimization showed at pressure, temperature, injection 25 MPa, 41.3 °C, 2.9 mL/min, respectively, particles shrink 600 nm.

Language: Английский

Citations

17

Thermodynamic modeling and solubility assessment of oxycodone hydrochloride in supercritical CO2: Semi-empirical, EoSs models and machine learning algorithms DOI Creative Commons
Gholamhossein Sodeifian,

Hassan Nateghi,

Fariba Razmimanesh

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 55, P. 104146 - 104146

Published: Feb. 17, 2024

In this study, the solubility of oxycodone hydrochloride (OXH) in supercritical carbon dioxide (SC–CO2) was investigated at various conditions, temperature (308–338 K) and pressure (120–270 bar), for first time. The ranged from 0.007 to 0.109 g/L, corresponding mole fractions ranging 0.051 × 10−5 0.699 10−5. Three different model groups were used analyze experimental data. group comprised seven semi-empirical models, with 3–6 adjustable parameters. These models include Sparks, Sodeifian 1 2, Bian, Jouyban, Gordillo Jafari-Nejad. second employed two state equations, namely Peng-Robinson (PR) Soave-Redlich-Kwong (SRK) van der Waals mixing rule. average absolute relative deviation percentage (AARD%) 9.73 10.63 PR SRK, respectively. third utilized four machine learning algorithms including DNN, RF, MLP DTs respective R2 values 0.992, 0.980, 0.964 0.961, All exhibited satisfactory agreement Finally, enthalpies vaporization (79.71 kJ/mol) solvation (−19.25 calculated

Language: Английский

Citations

16

Solubility measurement of Ceftriaxone sodium in SC-CO2 and thermodynamic modeling using PR-KM EoS and vdW mixing rules with semi-empirical models DOI Creative Commons
Gholamhossein Sodeifian, Hamidreza Bagheri, Mohsen Ashjari

et al.

Case Studies in Thermal Engineering, Journal Year: 2024, Volume and Issue: 61, P. 105074 - 105074

Published: Sept. 1, 2024

The complete investigation of the solubility Ceftriaxone sodium drug has not yet been conducted. This communication investigates in supercritical CO2 (SC-CO2) for first time. measurements were performed using utilizing UV-vis analysis under different operation conditions (at P (bar) = 120-270 and T (K) 308-338). results demonstrated that ranged from 0.90 × 10-6 to 8.01 10-6. mole fraction increases proportionally with an increase pressure, while maintaining a constant temperature. However, crossover was noted. behavior SC-CO2 modeled by Peng-Robinson equation state (PR EoS) Kwak-Mansoori van der Waals mixing rules seven semi-empirical correlations (Bian et al., Kumar-Johnston, Chrastil, Garlapati-Madras, Bartle Sung-Shim Sodeifian al.,). vaporization, total solvation enthalpies sodium/SC-carbon dioxide system obtained KJ, al. correlations. evaluation two methods absolute average relative deviation (AARD%). Both models exhibited satisfactory level agreement experimental data. Finally, PR/KM EoS Chrastil models, AARD% values 8.70% 8.10% respectively, showed superior precision accurately fitting

Language: Английский

Citations

9

Universal data-driven models to estimate the solubility of anti-cancer drugs in supercritical carbon dioxide: Correlation development and machine learning modeling DOI Creative Commons
Farag M. A. Altalbawy,

Nadhir N.A. Jafar,

Dharmesh Sur

et al.

Journal of CO2 Utilization, Journal Year: 2025, Volume and Issue: 92, P. 103021 - 103021

Published: Jan. 13, 2025

Language: Английский

Citations

1

Study of Baclofen Solubility in Supercritical CO2 with and without Cosolvents: Experimental Analysis, Thermodynamic Evaluation, and Machine Learning Methods DOI
Mohammad Ahmar Khan,

P. J. RODRIGUES,

Sameer A. Awad

et al.

Journal of Chemical & Engineering Data, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 15, 2025

This study investigates the solubility of Baclofen in supercritical CO2, which is essential for developing an efficient drug delivery system using processes. Solubility measurements were carried out both with and without presence various cosolvents (ethanol dimethyl sulfoxide (DMSO)), across a temperature range 308–338 K pressure 12–30 MPa. exhibited ranging from 1.62 × 10–5 to 2.30 mole fractions pure CO2. In cosolvents, increased 5.76 12.79 ethanol 3.50 7.02 DMSO. Indeed, addition DMSO by approximately 3.55–5.56 times 2.15–3.05 times, respectively. Several density-based empirical models thermodynamic (Soave–Redlich–Kwong (SRK) Peng–Robinson (PR) equations state) used correlate data. Jafari Nejad's model CO2–Baclofen Jouyban's CO2–ethanol/DMSO–Baclofen systems displayed higher consistency. Also, PR showed better accuracy correlating while SRK outperformed CO2–ethanol/DMSO cosolvents. Moreover, machine learning exceptional accuracy, over 99% predictions closely matching experimental data, emphasizing its outstanding performance.

Language: Английский

Citations

1

Preparation of curcumin submicron particles by supercritical antisolvent method with external adjustable annular gap nozzle DOI Creative Commons

Yechen Wang,

Zirui Li,

Sun Fayu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 26, 2025

The supercritical antisolvent (SAS) method can effectively improve the bioavailability of poorly water-soluble drugs. However, current equipment and processes were not fully developed, making industrialization difficult to achieve. Therefore, an externally adjustable annular gap nozzle its supporting designed. Curcumin was used as a model drug, ethanol solvent, carbon dioxide (SC-CO2) antisolvent. Building on single-factor experiments, Box-Behnken Design-Response Surface Methodology (BBD-RSM) employed systematically investigate effects four process parameters—crystallizer pressure (12–16 MPa), crystallizer temperature (313–323 K), solution concentration (1–2 mg/mL), CO2/solution flow rate ratio (133–173 g/g)—on morphology particle size curcumin particles. Using scanning electron microscopy (SEM) dynamic light scattering (DLS) analyses, morphologies mean diameter ranges examined. To look into how SAS affects TML's chemical physical characteristics, X-ray diffraction analysis (XRD) Fourier-transform infrared spectroscopy (FT-IR) further performed. Experimental results show that, had greatest effect size, followed by concentration, while least influence. optimum conditions are operational set with 15 MPa, 320 K, 1.2 mg/mL, 134 g/g, resulting in submicron particles average 808 nm being obtained. This study demonstrated feasibility associated process, showcasing significant potential for reducing enhancing

Language: Английский

Citations

1

Application of theoretical and semi-empirical equations for modeling of Maprotiline hydrochloride (anti-depressant) drug solubility in SC-CO2 DOI
Hamidreza Bagheri, Hassan Hashemipour,

Shaxnoza Saydaxmetova

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117508 - 117508

Published: April 1, 2025

Language: Английский

Citations

1

Determination of morphine sulfate anti-pain drug solubility in supercritical CO2 with machine learning method DOI Creative Commons
Gholamhossein Sodeifian, Chieh‐Ming Hsieh,

Farnoush Masihpour

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 27, 2024

Language: Английский

Citations

7