samedan logo
 
 
spacer
home > white papers > Advantages of Quantitative NMR for the Determination of Relative Response Factors - Novatia, LLC
WHITE PAPERS
logo_Novatia,_L.jpg

Novatia, LLC

phone +1 (267) 385 8355
email info@enovatia.com
web http://www.enovatia.com
email 54 Walker Lane, Newtown, PA 18938

Advantages of Quantitative NMR for the Determination of Relative Response Factors

Quantitative NMR (qNMR) is a technique that is being applied broadly and at an increasing rate in the field of pharmaceutical analysis (1). This white paper highlights the advantages of using qNMR to determine Relative Response Factors (RRFs) for pharmaceutical impurities detectable by HPLC. A single determination of RRFs using qNMR allows for simple and accurate quantitation of impurities which eliminates the need for preparation, qualification, and storage of reference standards. An example is presented here, which demonstrates quantitation of known impurities that have variable responses to UV-VIS detection, thereby providing a more accurate assessment of impurity levels than UV-VIS response alone.
Advantages of Quantitative NMR for the Determination of Relative Response Factors
spacer

Member login

E-mail address:

Password:
Remember me


News and Press Releases

Clinical and Regulatory Operational Excellence Forum

1. Innovative technologies are expected to take clinical development, licensing, and other regulatory processes to the next level in the future. What do you see are the biggest challenges facing companies when trying to cope with continued data growth in a fast changing environment? Pharmaceutical companies are heavily regulated and introducing change needs proof of acceptance by the authorities. The chance that authorities do not agree with that change makes the industry risk averse. Changes in a stable GxP environment are almost by default seen as a risk, however, not adapting to new technologies should also be seen as a risk! Therefore, ICH developed the ICH Q8, Q9, Q10, Q11, and Q12 guidelines, to anticipate change and implement changes much faster, with less of a regulatory burden. Nevertheless, industry is not picking up with the desired pace. Why not?
More info >>


White Papers

Transforming Temperature Data Management Practices to Reduce Labor Costs and Improve Visibility and Control

Berlinger & Co AG

There are a number of temperature monitoring database options available to the biopharma supply chain professional and choosing the right one can significantly improve workflow which will reduce administrative time. This article will provide insight into practices for improving common processes through enhanced database functionality in the areas of managing data loggers by expiry date, storing and retrieving calibration certificates and acknowledging/documenting common temperature excursion events. Additionally, it describes the unique features and benefits of the Berlinger Smartview® data management system. Smartview® is a “Software as a Service” (SaaS) platform designed to efficiently and accurately manage both workflow and data in a regulatory compliant manner (21 CRF Part 11 & Annex 11). This comprehensive temperature data management system ensures reliability, accuracy, security, accessibility, and visibility to supply chain professionals, enhancing Good Distribution Practices (GDP) of temperature sensitive shipments.
More info >>


Industry Events

SMi Presents the 11th Adaptive Designs in Clinical Trials Conference 2019

1-2 April 2019, Holiday Inn Kensington Forum, London

SMi Group are proud to announce the 11th annual Adaptive Designs in Clinical Trials conference and exhibition will return to London from the 1st – 2nd April 2019. With the growing popularity in use and acceptance of adaptive designs in clinical trials - demonstrated most recently with the new FDA draft guidance on adaptive designs – there is a pressing need for a forum which explores this increasingly normalized medical methodology.
More info >>


©2000-2011 Samedan Ltd.
Add to favourites

Print this page

Send to a friend
Privacy statement