2014Research Journal of Pharmacy and TechnologyRequires access

Spectrophotometric Estimation of Ambroxal hydrochloride in Bulk Drug and Pharmaceutical Dosage Form by Area Under Curve Method

V Rele Rajan

Open publisher page 0 citations

Abstract

A simple and precise UV-spectrophotometric method, area under curve [AUC], has been developed and validated for the estimation of ambroxal hydrochloride in bulk drug and its pharmaceutical formulation. Ambroxal hydrochloride was estimated by area under curve (AUC) method for the zero order spectrums in between 205 nm to 214 nm. Beer's law was obeyed in the concentration range of 1 to 10 μg/ml with coefficient of correlation value 0.9995. This method was tested and validated for various parameters according to ICH guidelines. The precision expressed as relative standard deviation, which was within the range of 0.2011% to 1.3330% for the above method. The proposed method was successfully applied for the determination of ambroxal hydrochloride in pharmaceutical formulation. Results of the analysis were validated statistically and were found to be satisfactory. The proposed method is simple, easy to apply, low-cost and require relatively inexpensive instruments.

About this research paper

What this paper is about

A simple and precise UV-spectrophotometric method, area under curve [AUC], has been developed and validated for the estimation of ambroxal hydrochloride in bulk drug and its pharmaceutical formulation. Ambroxal hydrochloride was estimated by area under curve (AUC) method for the zero order spectrums in between 205 nm to 214 nm. Beer's law was obeyed in the concentration range of 1 to 10 μg/ml with coefficient of correlation value 0.9995. This method was tested and validated for various parameters according to ICH guidelines. The precision expressed as relative standard deviation, which was within the range of 0.2011% to 1.3330% for the above method. The proposed method was successfully applied for the determination of ambroxal hydrochloride in pharmaceutical formulation. Results of the analysis were validated statistically and were found to be satisfactory. The proposed method is simple, easy to apply, low-cost and require relatively inexpensive instruments.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

A simple and precise UV-spectrophotometric method, area under curve [AUC], has been developed and validated for the estimation of ambroxal hydrochloride in bulk drug and its pharmaceutical formulation. Ambroxal hydrochloride was estimated by area under curve (AUC) method for the zero order spectrums in between 205 nm to 214 nm. Beer's law was obeyed in the concentration range of 1 to 10 μg/ml with coefficient of correlation value 0.9995. This method was tested and validated for various parameters according to ICH guidelines. The precision expressed as relative standard deviation, which was within the range of 0.2011% to 1.3330% for the above method. The proposed method was successfully applied for the determination of ambroxal hydrochloride in pharmaceutical formulation. Results of the analysis were validated statistically and were found to be satisfactory. The proposed method is simple, easy to apply, low-cost and require relatively inexpensive instruments.

Key concepts: Relative standard deviation, Pharmaceutical formulation, Area under curve, Dosage form, Mathematics, Correlation coefficient, Standard deviation, Chromatography

Related papers

Back to paper searchBrowse research topicsOriginal source
Spectrophotometric Estimation of Ambroxal hydrochloride in Bulk Drug and Pharmaceutical Dosage Form by Area Under Curve Method — Research Paper | ScholarLens