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Electrochemical Sensor Based on Poly(Sodium 4-Styrenesulfonate) Functionalized Graphene and Co3O4 Nanoparticle Clusters for Detection of Amaranth in Soft drinks
- Source :
- Food Analytical Methods. 10:3149-3157
- Publication Year :
- 2017
- Publisher :
- Springer Science and Business Media LLC, 2017.
-
Abstract
- A new sensitive electrochemical sensor based on poly(sodium 4-styrenesulfonate) (PSS) functionalized graphene and Co3O4 nanoparticle clusters (PSS-GN/Co3O4) ternary composite was fabricated via two-step synthesis. The PSS-GN/Co3O4 nanocomposite significantly increased the oxidative activity of amaranth due to the individual merit and mutual effect of PSS-GN and Co3O4 nanoparticle clusters which improved the performance of the electrochemical sensor with high sensitivity. Cyclic voltammetry (CV) and linear sweep voltammetry (LSV) measurements were used for the detection of amaranth. Under the optimal conditions, the oxidation peak currents of amaranth increased proportionally to the concentration within the range of 0.01–1.0 and 1.0–6.0 μmol L−1, and the limit of detection was 4.0 nmol L−1. The proposed modified electrode was highly sensitive and was successfully applied to determine amaranth in the soft drinks with satisfactory recoveries. The as-prepared PSS-GN/Co3O4/GCE electrochemical sensor offers a feasible way for designing simpler, low cost, and environment-friendly sensors based on Co3O4 nanoparticle clusters.
- Subjects :
- Detection limit
Materials science
Nanocomposite
010401 analytical chemistry
Analytical chemistry
Nanoparticle
Amaranth
02 engineering and technology
021001 nanoscience & nanotechnology
01 natural sciences
Applied Microbiology and Biotechnology
0104 chemical sciences
Analytical Chemistry
Electrochemical gas sensor
chemistry.chemical_compound
chemistry
Chemical engineering
Electrode
Linear sweep voltammetry
Cyclic voltammetry
0210 nano-technology
Safety, Risk, Reliability and Quality
Safety Research
Food Science
Subjects
Details
- ISSN :
- 1936976X and 19369751
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Food Analytical Methods
- Accession number :
- edsair.doi...........12c14e92514b03be89757d1743bf42cd
- Full Text :
- https://doi.org/10.1007/s12161-017-0889-z