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. 2021 Apr 7;32(4):913-928.
doi: 10.1021/jasms.0c00415. Epub 2021 Mar 12.

New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

Trina Mouchahoir  1   2 John E Schiel  1   2 Rich Rogers  3 Alan Heckert  1 Benjamin J Place  1 Aaron Ammerman  4 Xiaoxiao Li  4 Tom Robinson  4 Brian Schmidt  4 Chris M Chumsae  5 Xinbi Li  5 Anton V Manuilov  5 Bo Yan  5 Gregory O Staples  6 Da Ren  7 Alexander J Veach  7 Dongdong Wang  8 Wael Yared  8 Zoran Sosic  9 Yan Wang  9 Li Zang  9 Anthony M Leone  10 Peiran Liu  10 Richard Ludwig  10 Li Tao  10 Wei Wu  10 Ahmet Cansizoglu  11 Andrew Hanneman  11 Greg W Adams  12 Irina Perdivara  12 Hunter Walker  12 Margo Wilson  12 Arnd Brandenburg  13 Nick DeGraan-Weber  14 Stefano Gotta  13 Joe Shambaugh  14 Melissa Alvarez  15 X Christopher Yu  15 Li Cao  16 Chun Shao  16 Andrew Mahan  17 Hirsh Nanda  17 Kristen Nields  17 Nancy Nightlinger  3 Helena Maria Barysz  18 Michael Jahn  18 Ben Niu  19 Jihong Wang  19 Gabriella Leo  20 Nunzio Sepe  20 Yan-Hui Liu  21 Bhumit A Patel  21 Douglas Richardson  21 Yi Wang  21 Daniela Tizabi  1   2 Oleg V Borisov  22 Yali Lu  22 Ernest L Maynard  22 Albrecht Gruhler  23 Kim F Haselmann  23 Thomas N Krogh  23 Carsten P Sönksen  23 Simon Letarte  24 Sean Shen  24 Kristin Boggio  25 Keith Johnson  25 Wenqin Ni  25 Himakshi Patel  25 David Ripley  25 Jason C Rouse  25 Ying Zhang  25 Carly Daniels  26 Andrew Dawdy  26 Olga Friese  26 Thomas W Powers  26 Justin B Sperry  26 Josh Woods  26 Eric Carlson  27 K Ilker Sen  27 St John Skilton  27 Michelle Busch  28 Anders Lund  28 Martha Stapels  28 Xu Guo  29 Sibylle Heidelberger  29 Harini Kaluarachchi  29 Sean McCarthy  30 John Kim  31 Jing Zhen  31 Ying Zhou  31 Sarah Rogstad  32 Xiaoshi Wang  32 Jing Fang  33 Weibin Chen  33 Ying Qing Yu  33 John G Hoogerheide  34 Rebecca Scott  34 Hua Yuan  34
Affiliations
Free article

New Peak Detection Performance Metrics from the MAM Consortium Interlaboratory Study

Trina Mouchahoir et al. J Am Soc Mass Spectrom. .
Free article

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 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 predigested 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 life cycles.

Keywords: MAM Consortium; NISTmAb; multi-attribute method; new peak detection; purity testing.

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