EAF4 module determines physicochemical, biophysical attributes of monoclonal antibodies

Postnova Analytics Inc. reports how its Electrical Asymmetrical Flow Field Flow Fractionation (EAF4) and Size Exclusion Chromatography (SEC) modules have been used to determine the physicochemical and biophysical attributes of monoclonal antibodies.

EAF4 technology uniquely combines the principle of Electrical and Asymmetrical Field Flow Fractionation in just one system. In a Postnova Analytics EAF2000 system - Electrical and Cross Flow Fields are applied simultaneously across the FFF channel enabling separation by size and simultaneous measurement of particle charge based on electrophoretic mobility. Combining these two powerful separation techniques in a single platform opens the door to characterizing complex proteins, antibodies and viruses as well as charged nanoparticles, colloids, or polymers that have proven intractable to other techniques.

A new poster describes how the EAF4 module enabled simultaneous measurement of size and surface charge characteristics (electrophoretic mobility) of antibodies and proteins. While no aggregates were detected by SEC, the EAF4 system showed antibody aggregates represented 10% of the total mass injected. The researchers concluded that the FFF open channel design may allow for better recovery of injected mass than SEC, which is particularly important when seeking to quantify aggregates present in small amounts.

In the described work, a reference monoclonal antibody (RM 8671 mAb), from the U.S. National Institute of Standards and Technology (NIST), was used to compare separation, aggregation quantification, and recovery parameters for an EAF4-UV-MALS versus SEC-UV-MALS techniques. The NIST mAb provides a representative test molecule for development of novel technology for therapeutic protein characterization.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Postnova Analytics. (2019, June 19). EAF4 module determines physicochemical, biophysical attributes of monoclonal antibodies. News-Medical. Retrieved on May 04, 2024 from https://www.news-medical.net/news/20190306/EAF4-module-determines-physicochemical-biophysical-attributes-of-monoclonal-antibodies.aspx.

  • MLA

    Postnova Analytics. "EAF4 module determines physicochemical, biophysical attributes of monoclonal antibodies". News-Medical. 04 May 2024. <https://www.news-medical.net/news/20190306/EAF4-module-determines-physicochemical-biophysical-attributes-of-monoclonal-antibodies.aspx>.

  • Chicago

    Postnova Analytics. "EAF4 module determines physicochemical, biophysical attributes of monoclonal antibodies". News-Medical. https://www.news-medical.net/news/20190306/EAF4-module-determines-physicochemical-biophysical-attributes-of-monoclonal-antibodies.aspx. (accessed May 04, 2024).

  • Harvard

    Postnova Analytics. 2019. EAF4 module determines physicochemical, biophysical attributes of monoclonal antibodies. News-Medical, viewed 04 May 2024, https://www.news-medical.net/news/20190306/EAF4-module-determines-physicochemical-biophysical-attributes-of-monoclonal-antibodies.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
No fuss technique for accurate characterization of gluten protein