Author(s):
Sharda Sambhakar, Shwetha S. Kamath K, Thimmasetty J., Shashank Nayak N., Srinivas Hebbar, Shah Jayesh Pravin, Bishambar Singh
Email(s):
shwetha26pharma@gmail.com
DOI:
10.52711/0974-360X.2024.00847 
Address:
Sharda Sambhakar1, Shwetha S. Kamath K2*, Thimmasetty J.3, Shashank Nayak N.4, Srinivas Hebbar5, Shah Jayesh Pravin6, Bishambar Singh7
1Assistant Professor, Department of Pharmacy, Banasthali Vidyapith, Rajasthan-304022, India.
2Ph.D. Research Scholar, Department of Pharmacy, Banasthali Vidyapith, Rajasthan-304022, India.
3Professor and HOD, Department of Pharmaceutics, Bapuji Pharmacy College, Davanagere Karnataka-577004, India.
4Associate Professor, Department of Pharmaceutics, Bapuji Pharmacy College, Davanagere Karnataka - 577004, India.
5Assistant Professor, Department of Pharmaceutics, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, Karnataka-576104, India.
6Research Scholar, Department of Pharmaceutics, Bapuji Pharmacy College, Davanagere Karnataka-577004, India.
7PHTI Department, SMS Medical College & Hospital, Jaipur, Rajasthan-302004, India.
*Corresponding Author
Published In:
Volume - 17,
Issue - 11,
Year - 2024
ABSTRACT:
Solutions of drugs may behave as ideal solutions, real solutions, or irregular solutions. It is necessary to understand the behaviour of these solutions before attempting to handle them. Various theories/models are reported in the literature to explain their behaviour. The importance of models in predicting the solubility of aripiprazole is demonstrated using its solubility in dioxane-water blends. The method utilizes theoretical and semiempirical approaches to predict solubility. The experimental solubility data for aripiprazole are validated using both ideal and nonideal solutions, focusing on the Scatchard-Hildebrand equation for regular solutions. Furthermore, the Extended Hildebrand Solubility approach is employed to identify the most suitable equation that yields calculated solubility data in agreement with experimental results. Interestingly, a method that directly correlates the solubility parameter of solvent combinations with the logarithm of the mole fraction solubility produces findings comparable to those obtained with the Extended Hildebrand Solubility approach. The results imply that aripiprazole solutions behave as irregular solutions. The solubility profile of aripiprazole may be precisely determined using a quartic equation developed based on regression of activity coefficient versus solubility parameter of the solvent blends. This method saves time and money compared to experimental methods.
Cite this article:
Sharda Sambhakar, Shwetha S. Kamath K, Thimmasetty J., Shashank Nayak N., Srinivas Hebbar, Shah Jayesh Pravin, Bishambar Singh. Harnessing Solubility Parameter-based Approaches to Predict Aripiprazole’s Solubility in Solvent Mixtures. Research Journal of Pharmacy and Technology. 2024; 17(11):5547-4. doi: 10.52711/0974-360X.2024.00847
Cite(Electronic):
Sharda Sambhakar, Shwetha S. Kamath K, Thimmasetty J., Shashank Nayak N., Srinivas Hebbar, Shah Jayesh Pravin, Bishambar Singh. Harnessing Solubility Parameter-based Approaches to Predict Aripiprazole’s Solubility in Solvent Mixtures. Research Journal of Pharmacy and Technology. 2024; 17(11):5547-4. doi: 10.52711/0974-360X.2024.00847 Available on: https://rjptonline.org/AbstractView.aspx?PID=2024-17-11-55
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