scholarly journals Enzyme-Based Biosensors: Tackling Electron Transfer Issues

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3517 ◽  
Author(s):  
Paolo Bollella ◽  
Evgeny Katz
Keyword(s):  
Mathematical Model ◽  
Electron Transfer ◽  
Fuel Cells ◽  
Glucose Oxidase ◽  
Rate Constant ◽  
Direct Electron Transfer ◽  
Redox Enzymes ◽  
Practical Applications ◽  
The Mathematical Model

This review summarizes the fundamentals of the phenomenon of electron transfer (ET) reactions occurring in redox enzymes that were widely employed for the development of electroanalytical devices, like biosensors, and enzymatic fuel cells (EFCs). A brief introduction on the ET observed in proteins/enzymes and its paradigms (e.g., classification of ET mechanisms, maximal distance at which is observed direct electron transfer, etc.) are given. Moreover, the theoretical aspects related to direct electron transfer (DET) are resumed as a guideline for newcomers to the field. Snapshots on the ET theory formulated by Rudolph A. Marcus and on the mathematical model used to calculate the ET rate constant formulated by Laviron are provided. Particular attention is devoted to the case of glucose oxidase (GOx) that has been erroneously classified as an enzyme able to transfer electrons directly. Thereafter, all tools available to investigate ET issues are reported addressing the discussions toward the development of new methodology to tackle ET issues. In conclusion, the trends toward upcoming practical applications are suggested as well as some directions in fundamental studies of bioelectrochemistry.

Research on cargo-loading optimization based on genetic and fuzzy integration

2021 ◽  
Vol 40 (4) ◽  
pp. 8493-8500
Author(s):  
Yanwei Du ◽  
Feng Chen ◽  
Xiaoyi Fan ◽  
Lei Zhang ◽  
Henggang Liang
Keyword(s):  
Genetic Algorithm ◽  
Mathematical Model ◽  
Three Dimensional ◽  
Distribution Center ◽  
Long Time ◽  
Low Efficiency ◽  
Decision Making Model ◽  
The Mathematical Model ◽  
Loading Scheme

With the increase of the number of loaded goods, the number of optional loading schemes will increase exponentially. It is a long time and low efficiency to determine the loading scheme with experience. Genetic algorithm is a search heuristic algorithm used to solve optimization in the field of computer science artificial intelligence. Genetic algorithm can effectively select the optimal loading scheme but unable to utilize weight and volume capacity of cargo and truck. In this paper, we propose hybrid Genetic and fuzzy logic based cargo-loading decision making model that focus on achieving maximum profit with maximum utilization of weight and volume capacity of cargo and truck. In this paper, first of all, the components of the problem of goods stowage in the distribution center are analyzed systematically, which lays the foundation for the reasonable classification of the problem of goods stowage and the establishment of the mathematical model of the problem of goods stowage. Secondly, the paper abstracts and defines the problem of goods loading in distribution center, establishes the mathematical model for the optimization of single car three-dimensional goods loading, and designs the genetic algorithm for solving the model. Finally, Matlab is used to solve the optimization model of cargo loading, and the good performance of the algorithm is verified by an example. From the performance evaluation analysis, proposed the hybrid system achieve better outcomes than the standard SA model, GA method, and TS strategy.

Synthesis of gold nanoparticles supported on functionalized nanosilica using deep eutectic solvent for an electrochemical enzymatic glucose biosensor

2017 ◽  
Vol 5 (34) ◽  
pp. 7072-7081 ◽  
Author(s):  
Siva Kumar-Krishnan ◽  
M. Guadalupe-Ferreira García ◽  
E. Prokhorov ◽  
M. Estevez-González ◽  
Ramiro Pérez ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Electron Transfer ◽  
Glucose Oxidase ◽  
Direct Electron Transfer ◽  
Deep Eutectic Solvent ◽  
Glucose Biosensor ◽  
Enzymatic Biosensor

Synthesis of AuNPs supported on nanosilica, mediated by deep eutectic solvent (DES), for efficient immobilization of glucose oxidase (GOx) and enhanced direct electron transfer in an enzymatic biosensor.

scholarly journals Rational Surface Modification of Carbon Nanomaterials for Improved Direct Electron Transfer-Type Bioelectrocatalysis of Redox Enzymes

Catalysts ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1447
Author(s):  
Hongqi Xia ◽  
Jiwu Zeng
Keyword(s):  
Electron Transfer ◽  
Surface Modification ◽  
Recent Progress ◽  
Carbon Nanomaterials ◽  
Direct Electron Transfer ◽  
Rational Surface ◽  
Interfacial Electron Transfer ◽  
Redox Enzymes ◽  
Oriented Immobilization

Interfacial electron transfer between redox enzymes and electrodes is a key step for enzymatic bioelectrocatalysis in various bioelectrochemical devices. Although the use of carbon nanomaterials enables an increasing number of redox enzymes to carry out bioelectrocatalysis involving direct electron transfer (DET), the role of carbon nanomaterials in interfacial electron transfer remains unclear. Based on the recent progress reported in the literature, in this mini review, the significance of carbon nanomaterials on DET-type bioelectrocatalysis is discussed. Strategies for the oriented immobilization of redox enzymes in rationally modified carbon nanomaterials are also summarized and discussed. Furthermore, techniques to probe redox enzymes in carbon nanomaterials are introduced.

Miniature direct electron transfer based sulphite/oxygen enzymatic fuel cells

2015 ◽  
Vol 66 ◽  
pp. 39-42 ◽  
Author(s):  
T. Zeng ◽  
D. Pankratov ◽  
M. Falk ◽  
S. Leimkühler ◽  
S. Shleev ◽  
...  
Keyword(s):  
Electron Transfer ◽  
Fuel Cells ◽  
Direct Electron Transfer
Sign in / Sign up

Export Citation Format

Share Document