title: Application of a computational neural network to optimize the fluorescence signal from a receptor-ligand interaction on a microfluidic chip.
abstract: We describe the use of a computational neural network platform to optimize the fluorescence upon binding 5-carboxyfluorescein-d-Ala-d-Ala-d-Ala (5-FAM(DA)3 ) (1) to the antibiotic teicoplanin covalently attached to a glass slide. A three-level response surface experimental design was used as the first stage of investigation. Subsequently, three defined experimental parameters were examined by the neural network approach: (i) the concentration of teicoplanin used to derivatize a glass platform on the microfluidic device, (ii) the time required for the immobilization of teicoplanin on the platform, and (iii) the length of time 1 is allowed to equilibrate with teicoplanin in the microfluidic channel. Optimal neural structure provided a best fit model, both for the training set (r(2) = 0.961) and test set (r(2) = 0.934) data. Model simulated results were experimentally validated with excellent agreement (% difference) between experimental and predicted fluorescence shown, thus demonstrating efficiency of the neural network approach.
authors.affiliation: Department of Chemistry and Biochemistry, California State University, Los Angeles, CA, USA.
authors.forename: Maria
authors.initials: M
authors.lastname: Ortega
authors.forename: Grady
authors.initials: G
authors.lastname: Hanrahan
authors.forename: Marilyn
authors.initials: M
authors.lastname: Arceo
authors.forename: Frank A
authors.initials: FA
authors.lastname: Gomez
mesh_terms: D055910:Antibodies, Immobilized / Q000737:chemistry* / Q000378:metabolism; D015374:Biosensing Techniques / Q000295:instrumentation* / Q000379:methods; D005456:Fluorescent Dyes / Q000737:chemistry* / Q000378:metabolism; D046210:Microfluidic Analytical Techniques / Q000295:instrumentation*; D016571:Neural Networks, Computer; D009842:Oligopeptides / Q000737:chemistry / Q000378:metabolism; D011485:Protein Binding; D013050:Spectrometry, Fluorescence / Q000295:instrumentation*; D017334:Teicoplanin / Q000737:chemistry / Q000378:metabolism
chemical_list: D055910:Antibodies, Immobilized; D005456:Fluorescent Dyes; D009842:Oligopeptides; C542686:carboxyfluorescein-D-Ala-D-Ala-D-Ala; D017334:Teicoplanin
keywords: Computational neural networks; Microfluidics; Optimization; Receptor-ligand binding