Abstract

UV spectrophotometric estimation of carvedilol hydrochloride by first order derivative and area under curve methods in bulk and pharmaceutical dosage form

Simple and precise UV spectrophotometric methods by first order derivative and area under curve [AUC] - have been developed and validated for the estimation of carvedilol hydrochloride in bulk and its tablet formulation. The standard and sample solutions of carvedilol hydrochloride were prepared in methanol. Carvedilol hydrochloride was estimated at 233.7 nm for the first order derivative UV-spectrophotometric method (A), while in area under curve (AUC) method (B) the zero order spectrum of carvedilol hydrochloride was measured in between 240 nm to 244 nm. Beer’s law was obeyed in the concentration range of 1 to 14 μg / ml with coefficient of correlation value 1.5130 for first order derivative method. Similarly in AUC method, Beer’s law was obeyed in the concentration range of 1 to 14 μg / ml with coefficient of correlation value 0.6606. These methods were tested and validated for various parameters according to ICH guidelines. The precision expressed as relative standard deviation were of 1.2145 % and 0.8929 % for the above two methods respectively. The proposed methods were successfully applied for the determination of carvedilol hydrochloride in pharmaceutical formulation. Results of the analysis were validated statistically and were found to be satisfactory. The proposed methods are simple, easy to apply, low-cost and require relatively inexpensive instruments.


Author(s): Rajan V. Rele

Abstract | PDF

Share This Article
30+ Million Readerbase
Google Scholar citation report
Citations : 374

Der Pharmacia Sinica received 374 citations as per Google Scholar report

Abstracted/Indexed in
  • Google Scholar
  • Genamics JournalSeek
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • Proquest Summons
  • International Committee of Medical Journal Editors (ICMJE)
  • Serials Union Catalogue (SUNCAT)
  • Geneva Foundation for Medical Education and Research
  • Secret Search Engine Labs

View More »

Flyer image