Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection

Serotonin (5-HT) is a neurotransmitter involved in many biophysiological processes in the brain and in the gastrointestinal tract. Electrochemical methods are commonly used to quantify 5-HT, but their reliability may suffer due to the time-dependent nature of adsorption-limited 5-HT detection, as we...

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Main Authors: Ashley Augustiny Chapin, Jinjing Han, Reza Ghodssi
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Methods and Protocols
Subjects:
Online Access:https://www.mdpi.com/2409-9279/6/1/6
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author Ashley Augustiny Chapin
Jinjing Han
Reza Ghodssi
author_facet Ashley Augustiny Chapin
Jinjing Han
Reza Ghodssi
author_sort Ashley Augustiny Chapin
collection DOAJ
description Serotonin (5-HT) is a neurotransmitter involved in many biophysiological processes in the brain and in the gastrointestinal tract. Electrochemical methods are commonly used to quantify 5-HT, but their reliability may suffer due to the time-dependent nature of adsorption-limited 5-HT detection, as well as electrode fouling over repeated measurements. Mathematical characterization and modeling of adsorption-based electrochemical signal generation would improve reliability of 5-HT measurement. Here, a model was developed to track 5-HT electrode adsorption and resulting current output by combining Langmuir adsorption kinetic equations and adsorption-limited electrochemical equations. 5-HT adsorption binding parameters were experimentally determined at a carbon-nanotube coated Au electrode: K<sub>D</sub> = 7 × 10<sup>−7</sup> M, k<sub>on</sub> = 130 M<sup>−1</sup> s<sup>−1</sup>, k<sub>off</sub> = 9.1 × 10<sup>−5</sup> s<sup>−1</sup>. A computational model of 5-HT adsorption was then constructed, which could effectively predict 5-HT fouling over 50 measurements (R<sup>2</sup> = 0.9947), as well as predict electrode responses over varying concentrations and measurement times. The model aided in optimizing the measurement of 5-HT secreted from a model enterochromaffin cell line—RIN14B—minimizing measurement time. The presented model simplified and improved the characterization of 5-HT detection at the selected electrode. This could be applied to many other adsorption-limited electrochemical analytes and electrode types, contributing to the improvement of application-specific modeling and optimization processes.
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spelling doaj.art-fbe8cd4f79744eb484aa0f4e9a3d33b12023-11-16T22:26:14ZengMDPI AGMethods and Protocols2409-92792023-01-0161610.3390/mps6010006Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin DetectionAshley Augustiny Chapin0Jinjing Han1Reza Ghodssi2Fischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USAInstitute for Systems Research, University of Maryland, College Park, MD 20742, USAFischell Department of Bioengineering, University of Maryland, College Park, MD 20742, USASerotonin (5-HT) is a neurotransmitter involved in many biophysiological processes in the brain and in the gastrointestinal tract. Electrochemical methods are commonly used to quantify 5-HT, but their reliability may suffer due to the time-dependent nature of adsorption-limited 5-HT detection, as well as electrode fouling over repeated measurements. Mathematical characterization and modeling of adsorption-based electrochemical signal generation would improve reliability of 5-HT measurement. Here, a model was developed to track 5-HT electrode adsorption and resulting current output by combining Langmuir adsorption kinetic equations and adsorption-limited electrochemical equations. 5-HT adsorption binding parameters were experimentally determined at a carbon-nanotube coated Au electrode: K<sub>D</sub> = 7 × 10<sup>−7</sup> M, k<sub>on</sub> = 130 M<sup>−1</sup> s<sup>−1</sup>, k<sub>off</sub> = 9.1 × 10<sup>−5</sup> s<sup>−1</sup>. A computational model of 5-HT adsorption was then constructed, which could effectively predict 5-HT fouling over 50 measurements (R<sup>2</sup> = 0.9947), as well as predict electrode responses over varying concentrations and measurement times. The model aided in optimizing the measurement of 5-HT secreted from a model enterochromaffin cell line—RIN14B—minimizing measurement time. The presented model simplified and improved the characterization of 5-HT detection at the selected electrode. This could be applied to many other adsorption-limited electrochemical analytes and electrode types, contributing to the improvement of application-specific modeling and optimization processes.https://www.mdpi.com/2409-9279/6/1/6electrochemical biosensoradsorptionmodelingneurotransmitter
spellingShingle Ashley Augustiny Chapin
Jinjing Han
Reza Ghodssi
Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
Methods and Protocols
electrochemical biosensor
adsorption
modeling
neurotransmitter
title Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
title_full Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
title_fullStr Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
title_full_unstemmed Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
title_short Adsorption Kinetic Model Predicts and Improves Reliability of Electrochemical Serotonin Detection
title_sort adsorption kinetic model predicts and improves reliability of electrochemical serotonin detection
topic electrochemical biosensor
adsorption
modeling
neurotransmitter
url https://www.mdpi.com/2409-9279/6/1/6
work_keys_str_mv AT ashleyaugustinychapin adsorptionkineticmodelpredictsandimprovesreliabilityofelectrochemicalserotonindetection
AT jinjinghan adsorptionkineticmodelpredictsandimprovesreliabilityofelectrochemicalserotonindetection
AT rezaghodssi adsorptionkineticmodelpredictsandimprovesreliabilityofelectrochemicalserotonindetection