Synthetic food colorants are extensively used across the globe regardless of the fact that they induce deleterious side effects when used in higher amounts. In this work, a novel electrochemical sensor based on nickel nanoparticles doped lettuce-like Co3O4 anchored graphene oxide (GO) nanosheets was developed for effective detection of sulfonated azo dye sunset yellow widely used as a food colorant. Hydrothermal synthesis was adopted for the preparation of lettuce-like spinel Co3O4 nanoparticles and Ni-Co3O4 NPs/GO nanocomposite was prepared using ecofriendly and economical sonochemical method. The prepared ternary nanocomposite meticulously fabricated on a screen-printed carbon electrode exhibited remarkable electrocatalytic activity towards sunset yellow determination. This is apparent from the resultant well-defined and intense redox peak currents of Ni-Co3O4 NPs/GO nanocomposite modified electrode at very low potentials. The developed sunset yellow sensor exhibited a high sensitivity of 4.16 μA μM-1 cm-2 and a nanomolar detection limit of 0.9 nM in the linear range 0.125-108.5 μM. Furthermore, experiments were conducted to affirm excellent stability, reproducibility, repeatability, and selectivity of proposed sensor. The practicality of sunset yellow determination using the developed sensor was analyzed in different varieties of food samples including jelly, soft drink, ice cream, and candy resulting in recovery in the range of 96.16%-102.56%.
- MeSH
- azosloučeniny analýza MeSH
- elektrochemické techniky metody MeSH
- grafit MeSH
- kobalt chemie MeSH
- kovové nanočástice chemie MeSH
- limita detekce MeSH
- lineární modely MeSH
- nanokompozity chemie MeSH
- nikl chemie MeSH
- oxid hlinitý chemie MeSH
- oxid hořečnatý chemie MeSH
- oxidy chemie MeSH
- potravinářská barviva analýza MeSH
- reprodukovatelnost výsledků MeSH
- Publikační typ
- časopisecké články MeSH
