Novel Stability Indicating Analytical Method Development and Validation for The Estimation of Canniflavin In Bulk By Uplc

Abstract

A novel stability indicating RP-UPLC method was developed for the estimation of Canniflavin in bulk. Canniflavin is a chemical compound found in Cannabis Sativa Linn. Chemically, this is a prenyl flavanoid and unrelated to THC and other Cannabinoids. Canniflavin comes under the category of anti-inflammatory agent and inhibitor of prostaglandin E2 production, it shows the inflammatory benefits 30 times more effective than aspirin. Canniflavone is employed as internal standard for canniflavin analysis. The analysis was carried out using Hibar C18 column
(100×2.1mm, 2μ) column. The optimized chromatographic column was achieved at 0.3ml/min. Flow rate using with KH2PO4 and Acetonitrile as a mobile phase in the ratio of 55:45.
Temperature was maintained at 30℃. Optimized wavelength selected was 275.0nm. The developed and validated method showed the Retention times 1.191min and 1.941min for
Canniflavone, canniflavin respectively. The proposed method was fully validated in terms of Linearity, LOD, LOQ, Precision, Stability and recovery. All calibration curves showed a good linear relationship (r2 ≥0.999). The precision evaluated by an intra-and inter day study showed % RSD 0.5% for Canniflavin. By using Standard addition method the % recovery was obtained as 100.1% for Canniflavin. LOD, LOQ values obtained from regression equation of Canniflavin were 0.311, 0.943. Regression equation of Canniflavin is y=0.0092 × +0.014. This method demonstrated excellent reliability and sensitivity. Stability indicating capability of the proposed method was verified by forced degradation experiments which includes (Acid, Base, Peroxide, Thermal, Water, Photolytic conditions) which were under the specification limits. Hence the suggested method is simple, Precise, rapid, sustainable and robust. Therefore it can be reliably utilized in regular quality control tests in industries and also in herbal formulations.