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Biosensor Based on Tyrosinase Immobilized on Graphene-Decorated Gold Nanoparticle/Chitosan for Phenolic Detection in Aqueous

Overview of attention for article published in Sensors, May 2017
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1 tweeter

Citations

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56 Dimensions

Readers on

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77 Mendeley
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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
28509848
Authors

Fuzi Fartas, Jaafar Abdullah, Nor Yusof, Yusran Sulaiman, Mohd 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.

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Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Ph. D. Student 11 14%
Student > Bachelor 11 14%
Researcher 4 5%
Other 4 5%
Other 12 16%
Unknown 22 29%
Readers by discipline Count As %
Chemistry 28 36%
Engineering 6 8%
Biochemistry, Genetics and Molecular Biology 3 4%
Agricultural and Biological Sciences 3 4%
Immunology and Microbiology 2 3%
Other 10 13%
Unknown 25 32%

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
#18,880,713
of 23,393,513 outputs
Outputs from Sensors
#12,291
of 20,487 outputs
Outputs of similar age
#238,107
of 311,617 outputs
Outputs of similar age from Sensors
#243
of 529 outputs
Altmetric has tracked 23,393,513 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,487 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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We're also able to compare this research output to 529 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.

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