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Constructive Optimization of a Multienzymatic Film Based on a Cascade Reaction for Electrochemical Biosensors
[Image: see text] The application of a multienzyme cascade reaction in electrochemical biosensors has the advantage of expanding the target substrates in addition to selectivity combining multiple enzymes on an electrode. However, the multienzyme system has the drawback of inefficient substance conv...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758940/ https://www.ncbi.nlm.nih.gov/pubmed/33376922 http://dx.doi.org/10.1021/acsomega.0c05521 |
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author | Sasaki, Kai Furusawa, Hiroyuki Nagamine, Kuniaki Tokito, Shizuo |
author_facet | Sasaki, Kai Furusawa, Hiroyuki Nagamine, Kuniaki Tokito, Shizuo |
author_sort | Sasaki, Kai |
collection | PubMed |
description | [Image: see text] The application of a multienzyme cascade reaction in electrochemical biosensors has the advantage of expanding the target substrates in addition to selectivity combining multiple enzymes on an electrode. However, the multienzyme system has the drawback of inefficient substance conversion because of the time-consuming passing of intermediates between the enzymes and/or diffusional loss of the intermediates. In this study, the optimal construction of a multienzymatic film in an ammonia detection sensor was investigated using a cascade reaction of l-glutamate oxidase and l-glutamate dehydrogenase as a model sensor. Three enzymatic films were prepared: (1) a mixed film designed to have a short diffusional distance between closely located enzymes, (2) a normal-sequential layered film arranged for the correct reaction pathway, and (3) a reverse-sequential layered film as a negative control. This was followed by comparison of the conversion efficiency of ammonia to hydrogen peroxide using time-dependent potentiometric measurements of a Prussian blue electrode determining the hydrogen peroxide amount. The results indicate that the conversion efficiency of the normal-sequential layered film was the highest among the three enzymatic films. The quantitative evaluation of the intermediate conversion efficiency of the cascade reaction showed that compared to the mixed film (34%), a higher conversion efficiency of 92% was obtained in the first enzymatic reaction step. These findings will promote the use of multienzymatic cascade reaction systems not only in biosensors and bioreactors but also in various industrial fields. |
format | Online Article Text |
id | pubmed-7758940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-77589402020-12-28 Constructive Optimization of a Multienzymatic Film Based on a Cascade Reaction for Electrochemical Biosensors Sasaki, Kai Furusawa, Hiroyuki Nagamine, Kuniaki Tokito, Shizuo ACS Omega [Image: see text] The application of a multienzyme cascade reaction in electrochemical biosensors has the advantage of expanding the target substrates in addition to selectivity combining multiple enzymes on an electrode. However, the multienzyme system has the drawback of inefficient substance conversion because of the time-consuming passing of intermediates between the enzymes and/or diffusional loss of the intermediates. In this study, the optimal construction of a multienzymatic film in an ammonia detection sensor was investigated using a cascade reaction of l-glutamate oxidase and l-glutamate dehydrogenase as a model sensor. Three enzymatic films were prepared: (1) a mixed film designed to have a short diffusional distance between closely located enzymes, (2) a normal-sequential layered film arranged for the correct reaction pathway, and (3) a reverse-sequential layered film as a negative control. This was followed by comparison of the conversion efficiency of ammonia to hydrogen peroxide using time-dependent potentiometric measurements of a Prussian blue electrode determining the hydrogen peroxide amount. The results indicate that the conversion efficiency of the normal-sequential layered film was the highest among the three enzymatic films. The quantitative evaluation of the intermediate conversion efficiency of the cascade reaction showed that compared to the mixed film (34%), a higher conversion efficiency of 92% was obtained in the first enzymatic reaction step. These findings will promote the use of multienzymatic cascade reaction systems not only in biosensors and bioreactors but also in various industrial fields. American Chemical Society 2020-12-08 /pmc/articles/PMC7758940/ /pubmed/33376922 http://dx.doi.org/10.1021/acsomega.0c05521 Text en © 2020 The Authors. Published by American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes. |
spellingShingle | Sasaki, Kai Furusawa, Hiroyuki Nagamine, Kuniaki Tokito, Shizuo Constructive Optimization of a Multienzymatic Film Based on a Cascade Reaction for Electrochemical Biosensors |
title | Constructive Optimization of a Multienzymatic Film
Based on a Cascade Reaction for Electrochemical Biosensors |
title_full | Constructive Optimization of a Multienzymatic Film
Based on a Cascade Reaction for Electrochemical Biosensors |
title_fullStr | Constructive Optimization of a Multienzymatic Film
Based on a Cascade Reaction for Electrochemical Biosensors |
title_full_unstemmed | Constructive Optimization of a Multienzymatic Film
Based on a Cascade Reaction for Electrochemical Biosensors |
title_short | Constructive Optimization of a Multienzymatic Film
Based on a Cascade Reaction for Electrochemical Biosensors |
title_sort | constructive optimization of a multienzymatic film
based on a cascade reaction for electrochemical biosensors |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7758940/ https://www.ncbi.nlm.nih.gov/pubmed/33376922 http://dx.doi.org/10.1021/acsomega.0c05521 |
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