- Title
- Chemical model-based optimization of a sensor array for simultaneous determination of glucose and fructose
- Creator
- Rasouli, Zahra; Maeder, Marcel; Abdollahi, Hamid
- Relation
- Microchemical Journal Vol. 172 Part B, Issue January 2022, no. 106944
- Publisher Link
- http://dx.doi.org/10.1016/j.microc.2021.106944
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2021
- Description
- In order to present the general idea of model based optimization, the chemical system of interaction between boronic acids and diols was selected to implement the idea on a real chemical system for simultaneous determination of analytes. The reaction between diols and phenylboronic acids changes pH and the variation in pH depends on the diols concentrations. Glucose and fructose were determined using a sensor array including two sensor elements with different concentrations of phenylboronic acid in the presence of NaOH. Here, the sensor array denotes the different sensor solutions in which their responses to analytes are studied. Each sensor element solution contains phenylboronic acid (as a main part of the sensor) and a pH indicator for monitoring the pH change as a consequence of analytes and phenylboronic acid interaction. The optimum compositions of sensor elements were selected using the results of the calculation based on the chemical model and known equilibrium constants. Fructose and glucose were determined using the nonlinear calibration method (radial basis function artificial neural network) in concentration range 0.5–7 mM and 1–9 mM with root mean squares error prediction (RMSEP) 0.2 and 0.8 mM, respectively. The calculated figures of merit showed that the sensor is more sensitive to fructose.
- Subject
- sensor array; phenylboronic acid; optimization; fructose; glucose; chemical model
- Identifier
- http://hdl.handle.net/1959.13/1459704
- Identifier
- uon:45751
- Identifier
- ISSN:0026-265X
- Language
- eng
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