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Attention Score in Context
| Title |
Biosensor Based on Tyrosinase Immobilized on Graphene-Decorated Gold Nanoparticle/Chitosan for Phenolic Detection in Aqueous
|
|---|---|
| Published in |
Sensors, May 2017
|
| DOI | 10.3390/s17051132 |
| Pubmed ID | |
| Authors |
Fuzi Mohamed Fartas, Jaafar Abdullah, Nor Azah Yusof, Yusran Sulaiman, Mohd Izham Saiman |
| Abstract |
In this research work, electrochemical biosensor was fabricated based on immobilization of tyrosinase onto graphene-decorated gold nanoparticle/chitosan (Gr-Au-Chit/Tyr) nanocomposite-modified screen-printed carbon electrode (SPCE) for the detection of phenolic compounds. The nanocomposite film was constructed via solution casting method. The electrocatalytic activity of the proposed biosensor for phenol detection was studied using differential pulse voltammetry (DPV) and cyclic voltammetry (CV). Experimental parameters such as pH buffer, enzyme concentration, ratio of Gr-Au-Chit, accumulation time and potential were optimized. The biosensor shows linearity towards phenol in the concentration range from 0.05 to 15 μM with sensitivity of 0.624 μA/μM and the limit of detection (LOD) of 0.016 μM (S/N = 3). The proposed sensor also depicts good reproducibility, selectivity and stability for at least one month. The biosensor was compared with high-performance liquid chromatography (HPLC) method for the detection of phenol spiked in real water samples and the result is in good agreement and comparable. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Bachelor | 12 | 15% |
| Student > Ph. D. Student | 10 | 13% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 21 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 29 | 36% |
| Engineering | 6 | 8% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Materials Science | 3 | 4% |
| Other | 10 | 13% |
| Unknown | 25 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 May 2017.
All research outputs
#20,660,571
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Outputs from Sensors
#14,404
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Outputs of similar age
#250,389
of 325,242 outputs
Outputs of similar age from Sensors
#235
of 524 outputs
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