Abstract

The possibility of measuring in real time the different types of analytes present in food is becoming a requirement in food industry. In this context, biosensors are presented as an alternative to traditional analytical methodologies due to their specificity, high sensitivity and ability to work in real time. It has been observed that the behavior of the analysis curves of the biosensors follow a trend that is reproducible among all the measurements and that is specific to the reaction that occurs in the electrochemical cell and the analyte being analyzed. Kinetic reaction modeling is a widely used method to model processes that occur within the sensors, and this leads to the idea that a mathematical approximation can mimic the electrochemical reaction that takes place while the analysis of the sample is ongoing. For this purpose, a novel mathematical model is proposed to approximate the enzymatic reaction within the biosensor in real time, so the output of the measurement can be estimated in advance. The proposed model is based on adjusting an exponential decay model to the response of the biosensors using a nonlinear least-square method to minimize the error. The obtained results show that our proposed approach is capable of reducing about 40% the required measurement time in the sample analysis phase, while keeping the error rate low enough to meet the accuracy standards of the food industry.

Highlights

  • An amperometric biosensor is based on a biological detection element coupled to a physical-chemical transducer that converts the biological signal, originated by the interaction between this detection element and the analyte, into a quantitative result

  • Biosensors are presented as an alternative to traditional analytical methodologies due to their specificity, high sensitivity and ability to work in real time

  • It has been observed that the behavior of the analysis curves of the biosensors follow a trend that is reproducible among all the measurements and that is specific to the reaction that occurs in the electrochemical cell and the analyte being analyzed

Read more

Summary

Introduction

An amperometric biosensor is based on a biological detection element coupled to a physical-chemical transducer that converts the biological signal, originated by the interaction between this detection element and the analyte, into a quantitative result. The biological element recognizes the target to be analyzed selectively and this interaction is translated into current by the transducer [1]. Amperometric detection consists of a polarization of the electrode by a fixed potential and recording the current due to the electrochemical transformation (RedOx reaction) of the targeted analyte [2]. There are three types of amperometric biosensors [3]: 1. First-generation biosensors: The obtained signal is due to the electrochemical reaction of the reactive agent, which is involved in the biochemical transformation of the target compound There are three types of amperometric biosensors [3]: 1. First-generation biosensors: The obtained signal is due to the electrochemical reaction of the reactive agent, which is involved in the biochemical transformation of the target compound

Third-generation biosensors
Material and Methods
Amperometric Measurements
Filtering Data
Finding the Inflection Point of the Signal
Levenberg–Marquardt Algorithm
Compute the Jacobian
Initial Guess
Optimal Buffer Length Study
Model Evaluation
Amperometrical Measurements Analysis
Optimal Parameters for Filtering
Detection of the Starting Point of the Analysis
Optimal Buffer Length for Curve Fitting
Conclusions
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call