Literature DB >> 21609682

A LEAN approach toward automated analysis and data processing of polymers using proton NMR spectroscopy.

Hans de Brouwer1, Gerrit Stegeman.   

Abstract

To maximize utilization of expensive laboratory instruments and to make most effective use of skilled human resources, the entire chain of data processing, calculation, and reporting that is needed to transform raw NMR data into meaningful results was automated. The LEAN process improvement tools were used to identify non-value-added steps in the existing process. These steps were eliminated using an in-house developed software package, which allowed us to meet the key requirement of improving quality and reliability compared with the existing process while freeing up valuable human resources and increasing productivity. Reliability and quality were improved by the consistent data treatment as performed by the software and the uniform administration of results. Automating a single NMR spectrophotometer led to a reduction in operator time of 35%, doubling of the annual sample throughput from 1400 to 2800, and reducing the turn around time from 6 days to less than 2.
Copyright © 2011 Society for Laboratory Automation and Screening. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21609682     DOI: 10.1016/j.jala.2009.07.007

Source DB:  PubMed          Journal:  J Lab Autom        ISSN: 2211-0682


  1 in total

1.  Integration of data systems and technology improves research and collaboration for a superfund research center.

Authors:  Kevin A Hobbie; Elena S Peterson; Michael L Barton; Katrina M Waters; Kim A Anderson
Journal:  J Lab Autom       Date:  2012-05-31
  1 in total

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