Literature DB >> 16792083

Improvements to a surface plasmon resonance-based immunoassay for the steroid hormone progesterone.

Els H Gillis1, Imelda Traynor, James P Gosling, Marian Kane.   

Abstract

The effects of modifications to an existing protocol for a surface plasmon resonance biosensor-based inhibition immunoassay for progesterone in cow's milk with a sensitivity of 3.5 ng/mL were examined to establish if the detection limit could be further reduced to broaden the potential applications of the assay. The mean relative standard deviation of duplicate measurements was 0.62% and the high precision resulted in very low values for the lower detection limits. Hence, the standard concentrations giving 95% maximum binding [effective dose (ED 95)] were compared instead. The ED 95 was not affected within a running temperature range of 20-37 degrees C, or at a flow rate and a contact time above 20 microL/min and 90 s, respectively. Increasing both the absolute sample volume and the antibody dilution improved sensitivity. However, there was a simultaneous reduction in the working range when the assay was applied to milk due to nonspecific binding. Less antibody was associated with large decreases in the maximum binding, but because the high precision extended over a broad analytical range, an ED 95 of 0.4-0.6 ng/mL in milk and 35-60 pg/mL in HBS-EP buffer were achieved. Thus, simple procedural modifications with the same sensor chip can alter performance characteristics of the assay as required for different applications.

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Year:  2006        PMID: 16792083

Source DB:  PubMed          Journal:  J AOAC Int        ISSN: 1060-3271            Impact factor:   1.913


  3 in total

Review 1.  Small molecule immunosensing using surface plasmon resonance.

Authors:  John Mitchell
Journal:  Sensors (Basel)       Date:  2010-08-04       Impact factor: 3.576

Review 2.  Emergent Biosensing Technologies Based on Fluorescence Spectroscopy and Surface Plasmon Resonance.

Authors:  Alessandra Camarca; Antonio Varriale; Alessandro Capo; Angela Pennacchio; Alessia Calabrese; Cristina Giannattasio; Carlos Murillo Almuzara; Sabato D'Auria; Maria Staiano
Journal:  Sensors (Basel)       Date:  2021-01-29       Impact factor: 3.576

3.  Nano-SPRi Aptasensor for the Detection of Progesterone in Buffer.

Authors:  Effat Zeidan; Renuka Shivaji; Vincent C Henrich; Marinella G Sandros
Journal:  Sci Rep       Date:  2016-05-24       Impact factor: 4.379

  3 in total

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