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S. B. Wankhede ¹, K. C. Raka ¹, S. B. Wadkar ¹, S. S. Chitlange ¹

Affiliations
1 Department of Pharmaceutical Chemistry, Padmashri Dr. D. Y. Patil Institute of Pharmaceutical Sciences band Research, Sant Tukaram Nagar, Pimpri, Pune-411018, IN

Abstract

The present work describes a stability-indicating HPTLC method for simultaneous analysis of Amlodipine besilate (AMLO), Losartan Potassium (LOS) and Hydrochlorothiazide (HCTZ) in bulk and pharmaceutical dosage form. Aluminium plate precoated with silica gel 60 F₂₅₄ was used as stationary phase. The separation was carried out using chloroform: ethyl acetate: methanol: ammonia (4: 4: 2:0.2 v/v/v/v) as mobile phase. The densitometric scanning was carried out at 232 nm. The linearity was obtained in the range 100-800 ng per band for amlodipine besilate (Correlation coefficient: 0.9954), 400-2400 ng per band for hydrochlorothiazide (Correlation coefficient: 0.9952) and 1000-8000 ng per band for losartan potassium (Correlation coefficient: 0.9947). The method was validated as per ICH guidelines. The combined dose tablet formulation was subjected to forced degradation by acid, alkali, oxidation, dry heat and exposure to ultraviolet radiations at 254 nm. The degradation products were well resolved from the pure drug with significantly different R_f values.

Keywords

Amlodipine Besilate (AMLO), Losartan Potassium (LOS), Hydrochlorothiazide (HCTZ), HPTLC, Validation, Stability Studies.

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N. Dhavalikar Mangesh ¹, S. B. Wadkar ¹

Affiliations
1 Department of Mechanical Engineering (Mechatronics), Sinhgad College of Engineering, University of Pune, Pune, IN

Abstract

The study investigated the variation of statistical parameters of vibration signals acquired from Ball bearings with respect to speed using an experimental set up. Accelerometers mounted on the bearing housing and connected to Sound and Vibration Analyzer (SVAN) 954 were used to measure the radial accelerations from the bearing housing. The RMS value & kurtosis analysis validates that the ball bearing health can be fairly monitored using frequency domain Analysis. The method proves to be a simple, quick & cost effective method in the condition monitoring of ball bearings & is most suitable for random signals such as from bearings.

Keywords

SVAN 954, RMS Value, Kurtosis Analysis, Ball Bearing Health, Random Signals.

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