Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

Published

Author(s)

Catherine A. Mouchahoir, John E. Schiel, Rich Rogers, N. Alan Heckert, Benjamin Place, Aaron Ammerman, Xiaoxiao Li, Tom Robinson, Brian Schmidt, Chris M. Chumsae, Xinbi Li, Anton V. Manuilov, Bo Yan, Gregory O. Staples, Da Ren, Alexander J. Veach, Dongdong Wang, Wael Yared, Zoran Sosic, Yan Wang, Li Zang, Anthony M. Leone, Peiran Liu, Richard Ludwig, Li Tao, Wei Wu, Ahmet Cansizoglu, Andrew Hanneman, Greg W. Adams, Irina Perdivara, Hunter Walker, Margo Wilson, Arnd Brandenburg, Nick DeGraan-Weber, Stefano Gotta, Joe Shambaugh, Melissa Alvarez, X. Christopher Yu, Li Cao, Chun Shao, Andrew Mahan, Hirsh Nanda, Kristen Nields, Nancy Nightlinger, Helena Maria Barysz, Michael Jahn, Ben Niu, Jihong Wang, Gabriella Leo, Nunzio Sepe, Yan-Hui Liu, Bhumit A. Patel, Douglas Richardson, Yi Wang, Daniela Tizabi, Oleg V. Borisov, Yali Lu, Ernest L. Maynard, Albrecht Gruhler, Kim F. Haselmann, Thomas N. Krogh, Carsten P. Sönksen, Simon Letarte, Sean Shen, Kristin Boggio, Keith Johnson, Wenqin Ni, Hamakshi Patel, David Ripley, Jason C. Rouse, Ying Zhang, Carly Daniels, Andrew Dawdy, Olga Friese, Thomas W. Powers, Justin B. Sperry, Josh Woods, Eric Carlson, K. Ilker Sen, St John Skilton, Michelle Busch, Anders Lund, Martha Stapels, Xu Guo, Sibylle Heidelberger, Harini Kaluarachchi, Sean McCarthy, John Kim, Jing Zhen, Ying Zhou, Sarah Rogstad, Xiaoshi Wang, Jing Fang, Weibin Chen, Ying Qing Yu, John G. Hoogerheide, Rebecca Scott, Hua Yuan

Abstract

The Multi-Attribute Method (MAM) Consortium was initially formed as a venue to harmonize best practices, share experiences and generate innovative methodologies to facilitate widespread integration of the MAM platform, which is an emerging ultra-high-performance liquid chromatography-mass spectrometry (UHPLC-MS) application. Successful implementation of MAM as a purity-indicating assay requires New Peak Detection (NPD) of potential process and/or product related impurities. The NPD interlaboratory study described herein was carried out by the MAM Consortium to report on the industry-wide performance of NPD using pre-digested samples of the NISTmAb Reference Material 8671. Results from 28 participating laboratories show that the NPD parameters being utilized across the industry are representative of high-resolution MS performance capabilities. Certain elements of NPD, including common sources of variability in the number of new peaks detected, that are critical to the performance of the purity function of MAM were identified in this study and are reported here as a means to further refine the methodology and accelerate adoption into manufacturer-specific protein therapeutic product lifecycles.
Citation
Journal of the American Society for Mass Spectrometry
Volume
32
Issue
4

Keywords

multi-attribute method, MAM Consortium, new peak detection, NISTmAb, purity testing

Citation

Mouchahoir, C. , Schiel, J. , Rogers, R. , Heckert, N. , Place, B. , Ammerman, A. , Li, X. , Robinson, T. , Schmidt, B. , Chumsae, C. , Li, X. , Manuilov, A. , Yan, B. , Staples, G. , Ren, D. , Veach, A. , Wang, D. , Yared, W. , Sosic, Z. , Wang, Y. , Zang, L. , Leone, A. , Liu, P. , Ludwig, R. , Tao, L. , Wu, W. , Cansizoglu, A. , Hanneman, A. , Adams, G. , Perdivara, I. , Walker, H. , Wilson, M. , Brandenburg, A. , DeGraan-Weber, N. , Gotta, S. , Shambaugh, J. , Alvarez, M. , Yu, X. , Cao, L. , Shao, C. , Mahan, A. , Nanda, H. , Nields, K. , Nightlinger, N. , Barysz, H. , Jahn, M. , Niu, B. , Wang, J. , Leo, G. , Sepe, N. , Liu, Y. , Patel, B. , Richardson, D. , Wang, Y. , Tizabi, D. , Borisov, O. , Lu, Y. , Maynard, E. , Gruhler, A. , Haselmann, K. , Krogh, T. , Sönksen, C. , Letarte, S. , Shen, S. , Boggio, K. , Johnson, K. , Ni, W. , Patel, H. , Ripley, D. , Rouse, J. , Zhang, Y. , Daniels, C. , Dawdy, A. , Friese, O. , Powers, T. , Sperry, J. , Woods, J. , Carlson, E. , Sen, K. , Skilton, S. , Busch, M. , Lund, A. , Stapels, M. , Guo, X. , Heidelberger, S. , Kaluarachchi, H. , McCarthy, S. , Kim, J. , Zhen, J. , Zhou, Y. , Rogstad, S. , Wang, X. , Fang, J. , Chen, W. , Yu, Y. , Hoogerheide, J. , Scott, R. and Yuan, H. (2021), New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study, Journal of the American Society for Mass Spectrometry, [online], https://doi.org/10.1021/jasms.0c00415 (Accessed November 23, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created March 12, 2021, Updated October 28, 2021