Research Article

Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models

Volume: 26 Number: 1 March 14, 2023
EN

Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models

Abstract

The solubility data of Active Pharmaceutical Ingredients in organic solvents is an essential for pharmaceutical crystallization and drug formulation. In this work, two semi-empirical correlations- the Yaws model and λ-h model- and two thermodynamic models – Wilson Model and the Non-random two-liquid model- are used to estimate the solubility of lornoxicam in ethanol and water. The model parameters and correlations coefficients are calculated by optimizing the average relative deviation. The values of these parameters will be helpful to estimate the solubility of lornoxicam at different temperatures where the experimental solubility data is not available. The predicted solubility data of lornoxicam can be further utilized in the pharmaceutical crystallization and drug formulation.

Keywords

Supporting Institution

University of Petroleum & Energy Studies Dehradun

References

  1. A. Dadej, A. Woźniak-Braszak, P. Bilski, H. Piotrowska-Kempisty, M. Józkowiak, A. Pawełczyk, D. Dadej, D. Łażewska, A. Jelińska, “Improved solubility of lornoxicam by inclusion into SBA-15: Comparison of loading methods,” Eur J Pharm Sci, 171, 106133, 2022.
  2. E. Merisko-Liversidge, G.G. Liversidge, E.R. Cooper, “Nanosizing: A formulation approach for poorly-water-soluble compounds,” Eur J Pharm Sci, 18,113–120, 2003.
  3. W. Wu, L. Wang, S. Wang, “Amorphous silibinin nanoparticles loaded into porous starch to enhance remarkably its solubility and bioavailability in vivo,” Colloids Surf. B: Biointerfaces, 198, 111474, 2021.
  4. R.U. Khan, S.U. Shah, S.A. Rashid, F. Naseem K.U. Shah, A. Farid, K.R. Hakeem, M.R. Kamli, E.H. Althubaiti, S.A. Alamoudi, “Lornoxicam-Loaded Chitosan-Decorated Nanoemulsion: Preparation and In Vitro Evaluation for Enhanced Transdermal Delivery,” Polymers, 14, 1922, 2022.
  5. N.T. Tung, T.H.Y. Dong, C.S. Tran, T.K.T. Nguyen, S.C. Chi, D.S. Dao, D.H. Nguyen, “Integration of lornoxicam nanocrystals into hydroxypropyl methylcellulose-based sustained release matrix to form a novel biphasic release system,” Int. J. Biol. Macromol., 209 , 441–451, 2022.
  6. M.B. Zewail, G. F.Asaad, S.M. Swellam, S.M. Abd-allah, S. K.Hosny, S.K. Sallah, J. E.Eissa, S. S.Mohamed, W.A. El-Dakroury, “Design, characterization and in vivo performance of solid lipid nanoparticles (SLNs)-loaded mucoadhesive buccal tablets for efficient delivery of Lornoxicam in experimental inflammation,” Int. J. Pharm., 624, 122006, 2022.
  7. H. Chen, J. Zhang, Q. Qiao, E. Hu, Y. Wei, Z. Pang, Y. Gao, S. Qian, J. Zhang, W. Heng, “A novel soluble lornoxicam-sodium chelate monohydrate with improved plasticity and tabletability,” Int. J. Pharm., 624, 122060 2022.
  8. S.R. Yarraguntla, V. Enturi, R. Vyadana, S. Bommala, “Formulation and evaluation of lornoxicam nanocrystals with different stabilizers at different concentrations,” Asian J. Pharm., 10, 198–207, 2016.

Details

Primary Language

English

Subjects

Thermodynamics and Statistical Physics

Journal Section

Research Article

Authors

A. K. Thakur This is me
India

A. Kulabhi This is me
India

A. Mishra This is me
India

Publication Date

March 14, 2023

Submission Date

June 29, 2022

Acceptance Date

November 9, 2022

Published in Issue

Year 2023 Volume: 26 Number: 1

APA
Kumar, R., Thakur, A. K., Kulabhi, A., & Mishra, A. (2023). Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models. International Journal of Thermodynamics, 26(1), 12-16. https://doi.org/10.5541/ijot.1138056
AMA
1.Kumar R, Thakur AK, Kulabhi A, Mishra A. Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models. International Journal of Thermodynamics. 2023;26(1):12-16. doi:10.5541/ijot.1138056
Chicago
Kumar, Rahul, A. K. Thakur, A. Kulabhi, and A. Mishra. 2023. “Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models”. International Journal of Thermodynamics 26 (1): 12-16. https://doi.org/10.5541/ijot.1138056.
EndNote
Kumar R, Thakur AK, Kulabhi A, Mishra A (March 1, 2023) Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models. International Journal of Thermodynamics 26 1 12–16.
IEEE
[1]R. Kumar, A. K. Thakur, A. Kulabhi, and A. Mishra, “Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models”, International Journal of Thermodynamics, vol. 26, no. 1, pp. 12–16, Mar. 2023, doi: 10.5541/ijot.1138056.
ISNAD
Kumar, Rahul - Thakur, A. K. - Kulabhi, A. - Mishra, A. “Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models”. International Journal of Thermodynamics 26/1 (March 1, 2023): 12-16. https://doi.org/10.5541/ijot.1138056.
JAMA
1.Kumar R, Thakur AK, Kulabhi A, Mishra A. Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models. International Journal of Thermodynamics. 2023;26:12–16.
MLA
Kumar, Rahul, et al. “Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models”. International Journal of Thermodynamics, vol. 26, no. 1, Mar. 2023, pp. 12-16, doi:10.5541/ijot.1138056.
Vancouver
1.Rahul Kumar, A. K. Thakur, A. Kulabhi, A. Mishra. Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models. International Journal of Thermodynamics. 2023 Mar. 1;26(1):12-6. doi:10.5541/ijot.1138056

Cited By