Department of Pharmaceutical Analysis, SRM College of Pharmacy, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu District – 603203, Tamil Nadu, India
*Corresponding Author E-mail: kavitha0208@gmail.com
This approach delivers a rapid, accurate, and reliable HPTLC method for analyzing ONDH (Ondansetron hydrochloride), a commonly prescribed antiemetic used to treat nausea and vomiting due to chemotherapy, surgery, and similar conditions. The analysis is conducted using pre-prepared HPTLC plates coated with Silica Gel 60 F254 on Aluminum plate with a mobile phase composed of Ethanol (9 parts) and Ethyl Acetate (1 part) in a 9:1 v/v ratio, with a total volume of 10ml, ensuring minimal solvent consumption in line with green evaluation principles. The separation is conducted at 302nm using the Camag TLC Scanner III, with data analysis carried out using winCAT software (version 1.3.4). ONDH typically shows a retention factor (Rf) value of 0.62. For method validation essential factors including accuracy, repeatability, selectivity, linear response, and method resilience are thoroughly tested according to ICH guidelines, with additional consideration of eco-friendly and green evaluation parameters. This technique also facilitates the simultaneous analysis of ten or more samples in a single run, making it a highly efficient and cost-effective solution for routine quality control of ONDH in pharmaceutical formulations, while supporting sustainable and environmentally responsible practices. The reduced reliance on harmful chemicals and the generation of minimal analytical waste make this method compatible with the goals of green analytical chemistry. Overall, the process not only delivers high-quality analytical results but also promotes safer working environments and reduces ecological burden. By integrating high throughput with a reduced environmental footprint, the method aligns with the current global movement toward cleaner, more responsible, and resource-efficient laboratory practices.
ONDH (Ondansetron hydrochloride), HPTLC, Densitometric estimation, Method development, Validation