Authors: | Lee, S.; Kim, S.; Malm, J.; Jeong, O. C.; Lilja, H.; Laurell, T. |
Article Title: | Improved porous silicon microarray based prostate specific antigen immunoassay by optimized surface density of the capture antibody |
Abstract: | Enriching the surface density of immobilized capture antibodies enhances the detection signal of antibody sandwich microarrays. In this study, we improved the detection sensitivity of our previously developed P-Si (porous silicon) antibody microarray by optimizing concentrations of the capturing antibody. We investigated immunoassays using a P-Si microarray at three different capture antibody (PSA - prostate specific antigen) concentrations, analyzing the influence of the antibody density on the assay detection sensitivity. The LOD (limit of detection) for PSA was 2.5ngmL-1, 80pgmL-1, and 800fgmL-1 when arraying the PSA antibody, H117 at the concentration 15μgmL-1, 35μgmL-1, and 154μgmL-1, respectively. We further investigated PSA spiked into human female serum in the range of 800fgmL-1 to 500ngmL-1. The microarray showed a LOD of 800fgmL-1 and a dynamic range of 800fgmL-1 to 80ngmL-1 in serum spiked samples. © 2013 Elsevier B.V. |
Keywords: | controlled study; unclassified drug; sensitivity analysis; prostate specific antigen; immunology; antigens; blood sampling; microarray analysis; antigen detection; urology; immunoassay; body fluids; antibodies; density; antibody; antibody microarrays; porous silicon; silicon; optimization; process optimization; limit of detection; surface property; microarrays; antibody microarray; sandwich immunoassay; assay detection; detection sensitivity; detection signal; silicon microarrays; chemical detection; polysilicon; h117 antibody |
Journal Title: | Analytica Chimica Acta |
Volume: | 796 |
ISSN: | 0003-2670 |
Publisher: | Elsevier Science, Inc. |
Date Published: | 2013-01-01 |
Start Page: | 108 |
End Page: | 114 |
Language: | English |
DOI: | 10.1016/j.aca.2013.06.041 |
PROVIDER: | scopus |
PMCID: | PMC4038068 |
PUBMED: | 24016590 |
DOI/URL: | |
Notes: | --- - "Export Date: 1 October 2013" - "CODEN: ACACA" - "Source: Scopus" |