Laccase–Prussian blue film–graphene doped carbon paste modified electrode for carbamate pesticides quantification

普鲁士蓝 石墨烯 生物传感器 亚铁氰化物 检出限 呋喃丹 核化学 化学 漆酶 循环伏安法 材料科学 电极 色谱法 电化学 纳米技术 有机化学 杀虫剂 物理化学 农学 生物
作者
Thiago M.B.F. Oliveira,M. Fátima Barroso,Simone Morais,Mariana Araújo,Cristina Freire,Pedro de Lima‐Neto,Adriana N. Correia,M.B.P.P. Oliveira,Cristina Delerue‐Matos
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:47: 292-299 被引量:58
标识
DOI:10.1016/j.bios.2013.03.026
摘要

A novel enzymatic biosensor for carbamate pesticides detection was developed through the direct immobilization of Trametes versicolor laccase on graphene doped carbon paste electrode functionalized with Prussian blue films (LACC/PB/GPE). Graphene was prepared by graphite sonication-assisted exfoliation and characterized by transmission electron microscopy and X-ray photoelectron spectroscopy. The Prussian blue film electrodeposited onto graphene doped carbon paste electrode allowed considerable reduction of the charge transfer resistance and of the capacitance of the device. The combined effects of pH, enzyme concentration and incubation time on biosensor response were optimized using a 2(3) full-factorial statistical design and response surface methodology. Based on the inhibition of laccase activity and using 4-aminophenol as redox mediator at pH 5.0, LACC/PB/GPE exhibited suitable characteristics in terms of sensitivity, intra- and inter-day repeatability (1.8-3.8% RSD), reproducibility (4.1 and 6.3% RSD), selectivity (13.2% bias at the higher interference:substrate ratios tested), accuracy and stability (ca. twenty days) for quantification of five carbamates widely applied on tomato and potato crops. The attained detection limits ranged between 5.2×10(-9)molL(-1) (0.002mgkg(-1) w/w for ziram) and 1.0×10(-7)molL(-1) (0.022mgkg(-1) w/w for carbofuran). Recovery values for the two tested spiking levels ranged from 90.2±0.1 (carbofuran) to 101.1±0.3% (ziram) for tomato and from 91.0±0.1% (formetanate) to 100.8±0.1% (ziram) for potato samples. The proposed methodology is appropriate to enable testing pesticide levels in food samples to fit with regulations and food inspections.
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