Literature DB >> 8270656

Comparison of an ELISA system for the quantification of hepatitis B antibody with an automated and a semi-automated system.

V A Player1, D White.   

Abstract

In order to manage the increased workload resulting from post vaccination hepatitis antibody testing of health care workers, the anti-hepatitis B ELISA assay ETI-AB-AUK (Sorin Biomedica), adapted for quantification using standards available as an addition to the qualitative kit assay (ABAU-STD-SET, (Sorin Biomedica)) and a sample pre-dilution step, was compared with a fully automated microparticle enzyme immunoassay IMX AUSAB (Abbott Laboratories), and a semi-automated enhanced luminescence system (Amerlite Amersham, now Kodak). Seventy-eight samples were concurrently tested and analysed statistically using a Regression Coefficient computer package (Apple Mackintosh Cricket). Good quantitative agreement was observed with ELISA vs IMX giving a linear correlation coefficient (r = 0.96). The linear correlation coefficient for ELISA vs Amerlite was r = 0.77. This study validates the use of the automated IMX system and allows the comparison of IMX results with previous 'semi-quantitative' ELISA results when longitudinally assessing patients response to a recombinant hepatitis B vaccine.

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Year:  1993        PMID: 8270656     DOI: 10.1016/0166-0934(93)90140-m

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  2 in total

1.  Development and characterization of a standardized ELISA including a reference serum on each plate to detect antibodies induced by experimental malaria vaccines.

Authors:  Kazutoyo Miura; Andrew C Orcutt; Olga V Muratova; Louis H Miller; Allan Saul; Carole A Long
Journal:  Vaccine       Date:  2007-11-20       Impact factor: 3.641

2.  A New ELISA to Overcome the Pitfalls in Quantification of Recombinant Human Monoclonal Anti-HBs, GC1102, by Commercial Immunoassays.

Authors:  Yong Won Shin; Dong-Hyung Cho; Gi Won Song; Se-Ho Kim
Journal:  Biol Proced Online       Date:  2018-09-27       Impact factor: 3.244

  2 in total

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