Development and Validation of Sustainable RP-HPLC Method for Tofacitinib Quantification in MCM-41 and MCM-48 Silica
Vidhi S Pandya1, Nidhi R Trivedi1, Manish N Nandpal1
1Ramanbhai Patel College of Pharmacy, Charotar University of Science and Technology, CHARUSAT Campus, Changa - 388421, Anand, Gujarat, India.
A new, sustainable RP-HPLC method accurately quantifies Tofacitinib in mesoporous silica nanoparticles. This green chemistry approach is ideal for quality control and formulation research.
Area of Science:
- Analytical Chemistry
- Materials Science
- Pharmaceutical Sciences
Background:
- Tofacitinib is a Janus kinase inhibitor used for autoimmune disorders.
- Mesoporous silica nanoparticles (MSNs) like MCM-41 and MCM-48 are investigated for drug delivery.
- Developing sustainable analytical methods is crucial for pharmaceutical research.
Purpose of the Study:
- To develop and validate a simple, rugged, and environmentally sustainable RP-HPLC method for Tofacitinib quantification.
- To apply the method for analytical studies of Tofacitinib-loaded MCM-41 and MCM-48 nanoparticles.
- To evaluate the environmental and analytical sustainability of the developed method.
Main Methods:
- RP-HPLC separation on a C18 column with an isocratic mobile phase (Milli-Q water/Acetonitrile).
- Photodiode array (PDA) detection at 287 nm with a 15-minute run time.
- Sustainability assessment using AGREE and RGB-12 whiteness models.
Main Results:
- The method demonstrated excellent linearity (r² = 0.9987), accuracy (98-102%), precision (0.06-1.31% RSD), and sensitivity (LOD: 0.28 µg/mL, LOQ: 0.848 µg/mL).
- High ruggedness (0.012-1.33% RSD) and specificity without excipient interference were observed.
- High AGREE (0.79) and RGB-12 (87.0) values confirmed enhanced sustainability and practical feasibility.
Conclusions:
- The developed RP-HPLC method offers reliable analytical performance aligned with green and white chemistry principles.
- The method is suitable for routine quality control and formulation research of Tofacitinib in MSN-based drug delivery systems.
- This novel sustainable method reduces analysis time and resource consumption compared to existing techniques.
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