Abstract
Recent Development in Nuclear Magnetic Resonance as a Technique for Quantitative Method Validation
Department of Pharmacy, School of Medical & Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh 203201, 1Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh 281406, 2Department of Pharmaceutical Chemistry, Noida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, Uttar Pradesh 201306, India
Correspondence Address:
R. Sahu, Institute of Pharmaceutical Research, GLA University, Mathura, Uttar Pradesh 281406, India, E-mail: rakeshsahu1100@gmail.com
Nuclear magnetic resonance spectroscopy has largely given way for most important routine analysis of natural, synthetic drug candidate and related molecules. The quality control and simultaneous quantitation of different residual solvents, analytes and impurities have led analysts to further exploit nuclear magnetic resonance as a viable quantitative technique. Hence, this review focuses on the use and feasibility of this technique for quantitative method validation of drug and related compounds. Validated quantitative nuclear magnetic resonance methods were simple, robust, accurate and selective for evaluating different natural and synthetic samples using various commercially accessible compounds as internal standards. In this review numerous examples are cited giving proof of advancement in nuclear magnetic resonance technology and also for precise evaluation of molecular structures of substances in solids and liquid. Studied examples of different concurrent validation methods in the review shows that the results obtained is precise with less standard deviation when compared with other chromatography techniques. Concluding the entire review, various methodologies used for quantification and validations were reflected that proved to be a specific, selective and alternative means of method validation and it can be summarized that nuclear magnetic resonance is as reliable as the chromatography-based technique for quantitative analysis providing accuracy.