Analysis of Nebivolol hydrochloride and Valsartan in Pharmaceutical Dosage Form by High Performance Thin Layer Chromatographic Method

A simple, accurate and precise high performance thin layer chromatographic method has been developed for the estimation of Valsartan and Nebivolol hydrochloride simultaneously from a tablet dosage form. The method employed silica gel 60 F254 pre-coated plates as stationary phase and a mixture of Ethyl acetate: Methanol: Ammonia (6.5:2.5:0.5 %v/v/v) as mobile phase. Densitometric scanning was performed at 280 nm using a Camag TLC scanner 3. Beer’s law was obeyed in the concentration range of 800ng/spot-2400ng/spot for Nebivolol hydrochloride and 200ng/spot-1000ng/spot for Valsartan. The Retention factor for Nebivolol hydrochloride is 0.75 ± 0.04 and is 0.27 ± 0.01 for Valsartan . The method was validated as per ICH Guidelines, proving its utility in estimation of Valsartan and Nebivolol hydrochloride in combined dosage form

Detecting Plagiarism in MS Access Assignments

Assurance of individual effort from students in computer-based assignments is a challenge. Due to digitization, students can easily use a copy of their friend’s work and submit it as their own. Plagiarism in assignments puts students who cheat at par with those who work honestly and this compromises the learning evaluation process. Using a new feature called data macros, this paper showcases a parsimonious method to detect plagiarism in MS Access assignments that can be easily used by instructors to identify and document plagiarism in assignments