Highly Sensitive Detection of Sunset Yellow Using A Chitosan-Carbon Nanotube Electrochemical Sensor
10.19756/j.issn.0253-3820.251052
- VernacularTitle:壳聚糖-碳纳米管电化学传感器高灵敏检测日落黄
- Author:
Jun-Bin CAO
1
;
Tian-Jin AO
;
Kai-Kai NIU
;
Jian-Wei ZHAO
Author Information
1. 嘉兴大学材料与纺织工程学院,嘉兴 314001
- Keywords:
Electrochemical sensor;
Sunset yellow;
Chitosan;
Carbon nanotube;
Square wave voltammetry;
Quantum chemistry calculations
- From:
Chinese Journal of Analytical Chemistry
2025;53(8):1259-1268
- CountryChina
- Language:Chinese
-
Abstract:
An electrochemical sensor based on a chitosan-carbon nanotube(CS-CNT)composite-modified glassy carbon electrode(GCE)was developed in this work for highly sensitive detection of sunset yellow(SY)in food.The CS-CNT composite dispersion was prepared via an ultrasonic dispersion method.Combined with quantum chemical calculations,the adsorption mechanism of SY molecules onto the electrode surface,facilitated by π-π conjugation and electrostatic interactions,was elucidated.The optimized experimental conditions were determined as follows:12 μL of CS-CNT dispersion modification volume,accumulation time of 300 s,and a phosphate buffer solution at pH 7.0 as supporting electrolyte solution.Experimental results demonstrated that CS significantly enhanced the dispersion of CNT,increasing the effective surface area of the modified electrode by 2.22 times(reaching 0.1587 cm2)compared to the bare GCE.The sensor exhibited a linear detection range of 3.0×10-7 mol/L to 1.0×10-5 mol/L,with a detection limit(S/N=3)of 5.0×10-10 mol/L.Satisfactory spiked recoveries ranging from 96.9%to 101.1%were achieved,along with good preparation reproducibility(relative standard deviation,RSD=4.96%).Interference tests indicated high selectivity of the sensor against citric acid,glucose,and common metal ions.The reliability of the sensor was validated through the detection of SY in actual beverage samples.This electrode design simplified operational procedures,avoiding cross-contamination between measurements,and provided an efficient solution for the on-site monitoring of food additives.
