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

## TL;DR

This paper presents a biosensor that can measure both glucose and cholesterol in milk using a single device and machine learning.

## Contribution

A new biosensor design enables simultaneous detection of glucose and cholesterol in milk using artificial neural networks.

## Key findings

- The biosensor showed excellent agreement with the spectrophotometric reference method.
- Linear voltammetry combined with artificial neural networks enabled accurate quantification.
- The device can analyze multiple analytes in a single sample using a screen-printed electrode.

## 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.