Simultaneous Determination of Glucose and Cholesterol in Milk Samples by Means of a Screen-Printed Biosensor and Artificial Neural Networks

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Authors: Jessica Torres-Gamez, Jose A. Rodriguez, María Elena Páez-Hernández, Carlos Andrés Galán-Vidal
Cited by: 0
References: 27

Abstract

In the present work, a bienzymatic voltammetric biosensor is reported for the simultaneous quantification of glucose and cholesterol in flavored milk samples with a single device. The biosensor is based on a carbon screen printing electrode on which paper disks impregnated with glucose oxidase and cholesterol oxidase, as well as ferricyanide as a mediator, are deposited. Linear voltammetry combined with an artificial neural network methodology were successfully used for the determinations, showing excellent agreement with the spectrophotometric reference method.

Fields of Study & Subjects

Electrochemical sensors and biosensors Electrochemical Analysis and Applications Advanced biosensing and bioanalysis techniques

Publication details

Journal / source
Bioengineering
Volume
13
Issue
3
Pages
274–274
Publication date
27 February 2026
Language
EN