| Title |
Investigation on uric acid biosensor model for enzyme layer thickness for the application of arthritis disease diagnosis
|
|---|---|
| Published in |
Health Information Science and Systems, April 2018
|
| DOI | 10.1007/s13755-018-0043-3 |
| Pubmed ID | |
| Authors |
P. Parthasarathy, S. Vivekanandan |
| Abstract |
Uric acid biosensors for arthritis disease has been developed for the specific selection of uricase enzyme film thickness coated over the TiO2-CeO2 nano-composite matrix is modelled mathematically. This model is purely based on R-diffusion conditions with irreversible first-order catalytic reactions. By arithmetical method, the impact of the thickness of enzyme layer on the current response of the biosensor was explored. This article displays a structure for choice of the enzyme layer thickness, guaranteeing the adequately stable sensitivity of a biosensor in a required extent of the maximal enzymatic rate. The numerical outcomes showed subjective and sensible quantitative information for oxidation current due to uric acid also shows the maximum change in the biosensor current response due to the change in membrane thickness, which will be more suitable for uric acid biosensor for the application of arthritis disease diagnosis. |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Researcher | 1 | 11% |
| Student > Master | 1 | 11% |
| Unknown | 6 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 1 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 11% |
| Engineering | 1 | 11% |
| Unknown | 6 | 67% |