Literature DB >> 10330911

Micronutrients Measurement Quality Assurance Program: helping participants use interlaboratory comparison exercise results to improve their long-term measurement performance.

D L Duewer1, M C Kline, K E Sharpless, J B Thomas, K T Gary, A L Sowell.   

Abstract

Over the past decade, the Micronutrients Measurement Quality Assurance Program (M2QAP) at the National Institute of Standards and Technology (NIST) has administered nearly 40 interlaboratory comparison exercises devoted to fat-soluble vitamin-related analytes in human serum. While M2QAP studies have been used to help certify reference materials and to document the performance of analytical systems, the primary focus of the M2QAP has been, and remains, the improvement of among-participant measurement comparability for target analytes. Recent analysis of historical measurement performance indicated the most efficient mechanism for further improving measurement comparability among participants is the improvement of long-term (months to years) comparability within each laboratory. The summary reports for the M2QAP studies are being redesigned to provide more chemist-friendly analyses of participant performance, dissecting systematic and random components of measurement incomparability as functions of analyte level and time. This report documents the semantic and graphical tools developed to help interlaboratory-comparison-exercise participants interpret their own measurement performance.

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Year:  1999        PMID: 10330911     DOI: 10.1021/ac981074k

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  6 in total

1.  Dietary supplement laboratory quality assurance program: the first five exercises.

Authors:  Melissa M Phillips; Catherine A Rimmer; Laura J Wood; Katrice A Lippa; Katherine E Sharpless; David L Duewer; Lane C Sander; Joseph M Betz
Journal:  J AOAC Int       Date:  2011 May-Jun       Impact factor: 1.913

Review 2.  Interlaboratory Studies Using the NISTmAb to Advance Biopharmaceutical Structural Analytics.

Authors:  Katharina Yandrofski; Trina Mouchahoir; M Lorna De Leoz; David Duewer; Jeffrey W Hudgens; Kyle W Anderson; Luke Arbogast; Frank Delaglio; Robert G Brinson; John P Marino; Karen Phinney; Michael Tarlov; John E Schiel
Journal:  Front Mol Biosci       Date:  2022-05-05

3.  Interlaboratory analytical comparison of fatty acid concentrations in serum or plasma.

Authors:  Michele M Schantz; Carissa D Powers; Rosemary L Schleicher; Joseph M Betz; Stephen A Wise
Journal:  Clin Chim Acta       Date:  2016-09-20       Impact factor: 3.786

4.  NIST Interlaboratory Study on Glycosylation Analysis of Monoclonal Antibodies: Comparison of Results from Diverse Analytical Methods.

Authors:  Maria Lorna A De Leoz; David L Duewer; Adam Fung; Lily Liu; Hoi Kei Yau; Oscar Potter; Gregory O Staples; Kenichiro Furuki; Ruth Frenkel; Yunli Hu; Zoran Sosic; Peiqing Zhang; Friedrich Altmann; Clemens Grunwald-Grube; Chun Shao; Joseph Zaia; Waltraud Evers; Stuart Pengelley; Detlev Suckau; Anja Wiechmann; Anja Resemann; Wolfgang Jabs; Alain Beck; John W Froehlich; Chuncui Huang; Yan Li; Yaming Liu; Shiwei Sun; Yaojun Wang; Youngsuk Seo; Hyun Joo An; Niels-Christian Reichardt; Juan Echevarria Ruiz; Stephanie Archer-Hartmann; Parastoo Azadi; Len Bell; Zsuzsanna Lakos; Yanming An; John F Cipollo; Maja Pucic-Bakovic; Jerko Štambuk; Gordan Lauc; Xu Li; Peng George Wang; Andreas Bock; René Hennig; Erdmann Rapp; Marybeth Creskey; Terry D Cyr; Miyako Nakano; Taiki Sugiyama; Pui-King Amy Leung; Paweł Link-Lenczowski; Jolanta Jaworek; Shuang Yang; Hui Zhang; Tim Kelly; Song Klapoetke; Rui Cao; Jin Young Kim; Hyun Kyoung Lee; Ju Yeon Lee; Jong Shin Yoo; Sa-Rang Kim; Soo-Kyung Suh; Noortje de Haan; David Falck; Guinevere S M Lageveen-Kammeijer; Manfred Wuhrer; Robert J Emery; Radoslaw P Kozak; Li Phing Liew; Louise Royle; Paulina A Urbanowicz; Nicolle H Packer; Xiaomin Song; Arun Everest-Dass; Erika Lattová; Samanta Cajic; Kathirvel Alagesan; Daniel Kolarich; Toyin Kasali; Viv Lindo; Yuetian Chen; Kudrat Goswami; Brian Gau; Ravi Amunugama; Richard Jones; Corné J M Stroop; Koichi Kato; Hirokazu Yagi; Sachiko Kondo; C T Yuen; Akira Harazono; Xiaofeng Shi; Paula E Magnelli; Brian T Kasper; Lara Mahal; David J Harvey; Roisin O'Flaherty; Pauline M Rudd; Radka Saldova; Elizabeth S Hecht; David C Muddiman; Jichao Kang; Prachi Bhoskar; Daniele Menard; Andrew Saati; Christine Merle; Steven Mast; Sam Tep; Jennie Truong; Takashi Nishikaze; Sadanori Sekiya; Aaron Shafer; Sohei Funaoka; Masaaki Toyoda; Peter de Vreugd; Cassie Caron; Pralima Pradhan; Niclas Chiang Tan; Yehia Mechref; Sachin Patil; Jeffrey S Rohrer; Ranjan Chakrabarti; Disha Dadke; Mohammedazam Lahori; Chunxia Zou; Christopher Cairo; Béla Reiz; Randy M Whittal; Carlito B Lebrilla; Lauren Wu; Andras Guttman; Marton Szigeti; Benjamin G Kremkow; Kelvin H Lee; Carina Sihlbom; Barbara Adamczyk; Chunsheng Jin; Niclas G Karlsson; Jessica Örnros; Göran Larson; Jonas Nilsson; Bernd Meyer; Alena Wiegandt; Emy Komatsu; Helene Perreault; Edward D Bodnar; Nassur Said; Yannis-Nicolas Francois; Emmanuelle Leize-Wagner; Sandra Maier; Anne Zeck; Albert J R Heck; Yang Yang; Rob Haselberg; Ying Qing Yu; William Alley; Joseph W Leone; Hua Yuan; Stephen E Stein
Journal:  Mol Cell Proteomics       Date:  2019-10-07       Impact factor: 5.911

5.  Learning from microarray interlaboratory studies: measures of precision for gene expression.

Authors:  David L Duewer; Wendell D Jones; Laura H Reid; Marc Salit
Journal:  BMC Genomics       Date:  2009-04-08       Impact factor: 3.969

6.  Statistics and Measurements.

Authors:  M C Croarkin
Journal:  J Res Natl Inst Stand Technol       Date:  2001-02-01
  6 in total

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