Asian Journal of Biomaterial Research 2017; 3(4):33-37 33
www.ajbr.in
Research Article
UV Spectrophotometric Method Development and Validation for Quantitative Estimation of
Paracetamol
Sagar Kishor Savale
*
*Department of Pharmaceutics, R. C. Patel Institute of Pharmaceutical Education and Research,
Shirpur 425405, Maharashtra, India
Received: 22 August 2017 Revised: 26 August 2017 Accepted: 29 August 2017
Abstract
Aim: UV Spectrophotometric Method Development and Validation for quantitative estimation of
Paracetamol. Objective: U.V Spectrophotometric method have been widely employed in
determination of individual components in a mixture or fixed dose combination. Our aim is to develop
spectroscopic method for estimation of the paracetamol in ternary mixture by using U.V
spectrophotometry. Methodology: The method was validated as per ICH guidelines. The recovery
studies confirmed the accuracy and precision of the method. Conclusion: It was successfully applied
for the analysis of the drug in bulk and could be effectively used for the routine analysis.
Keywords: Paracetamol, UV spectrophotometric method, Validation.
Introduction
Paracetamol or acetaminophen is active
metabolites of phenacitin. It is a widely used
over the counter analgesic and antipyretic.
Chemically, it is 4-hydroxy acetanilide
(acetaminophen). Paracetamol and other
NSAIDs all act by the same mechanism
(inhibition of prostaglandin synthesis by
inhibiting cyclooxygenase (COX)) and all show
varying levels of analgesic,
*
Corresponding author,
Mr. Sagar Kishor Savale,
Department of Pharmaceutics,
R. C. Patel Institute of Pharmaceutical
Education & Research, Shirpur,
425405, Maharashtra, India.
Mobile No: 9960885333,
Email ID:
[email protected]
anti-inflammatory, antipyretic and anti-platelet
actions. Paracetamol is official in Indian
Pharmacopoeia and British Pharmacopoeia.
Method development is the setting up of an
analytical procedure that will be appropriate for
the analysis of a particular sample and makes
the analysis simpler, sensitive and easier
(Dangre et al., 2015; Kuchekar et al., 2003;
Savale et al., 2017).