Optimization and Evaluation of a Hapten Microarray Using Chemometric Methods. (2015)

• Record Type: Journal Article
• Authors: Carl, Peter; Schneider, Rudolf J.
• Is Part Of: Procedia engineering. Volume 120(2015)
• Page Start: 501
• Page End: 506
• Publication Date: 2015
• Subjects: Proteine microarray -- design of experiments -- multivariate data analysis -- partial least squares regression -- small molecule detection.; Engineering -- Congresses; Engineering -- Periodicals; Engineering; Conference proceedings; Periodicals; 620.005
• DOI: 10.1016/j.proeng.2015.08.684
• Languages: English
• ISSNs: 1877-7058

Abstract

Abstract: The demands for the assessment of water quality are increasing steadily, making it necessary to routinely monitor multiple contaminants in water samples. For this application a hapten microarray was developed. In order to reach the required low detection limits a design of experiments (DoE) approach was used to optimize the assay performance. Here we show that a Box-Behnken design plan is an adequate choice for the straightforward exploration of hapten microarray assay parameters. For both read-out systems studied (fluorophore-labelled detection antibodies or enzymatic signal development followed by reflectometric scan, respectively), it was possible to significantly extend the measurement ranges. Furthermore, it could be shown that multivariate data analysis, here partial least squares regression (PLS), can improve the prediction accuracy of "unknown" samples when used as calibration model, compared to classical, univariate data evaluation methods.