Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods

Glucose Oxidase Biosensor Modeling and Predictors Optimization by Machine Learning Methods

Biosensors are small analytical devices incorporating a biological recognition element and a physico-chemical transducer to convert a biological signal into an electrical reading. Nowadays, their technological appeal resides in their fast performance, high sensitivity and continuous measuring capabi...

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Bibliographic Details
Main Authors: Felix F. Gonzalez-Navarro, Margarita Stilianova-Stoytcheva, Livier Renteria-Gutierrez, Lluís A. Belanche-Muñoz, Brenda L. Flores-Rios, Jorge E. Ibarra-Esquer
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
machine learning
biosensors
glucose-oxidase
neural networks
support vector machines
PLS
multivariate polynomial regression
optimization
Online Access:http://www.mdpi.com/1424-8220/16/11/1483

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