酶抑制-数字图像比色法检测和鉴别食品中二硫代氨基甲酸酯、氨基甲酸酯和有机磷类农药残留

Detection and identification of dithiocarbamate, carbamate, and organophosphorus pesticide residues in food by enzyme inhibition-digital image colorimetry

中文关键词:  酶抑制法  数字图像比色法  低共熔溶剂  农药残留  主成分分析

英文关键词:enzyme inhibition  digital image colorimetry  deep eutectic solvent  dithiocarbamate pesticide  carbamate pesticide  organophosphorus pesticide  principal component analysis

中文摘要:

      目的 建立一种酶抑制-数字图像比色法检测和鉴别食品中二硫代氨基甲酸酯、氨基甲酸酯和有机磷类农药残留的分析方法。方法 采用简单的胶带黏贴剥离方式, 结合低共熔溶剂洗脱对食品样品中的农药进行高效提取。基于二硫代氨基甲酸酯、氨基甲酸酯和有机磷类农药对酪氨酸酶的抑制活性, 使酪氨酸酶对酚类物质的氧化能力降低, 进而影响酚类物质与氯化铁生成有色物质的反应, 建立酪氨酸酶、酚类物质和氯化铁的比色阵列传感器, 实现农药的残留分析, 并结合主成分分析实现多种农药的区分。结果 本研究建立的酶抑制-数字图像比色法对番茄、苹果和玉米中福美锌残留在0.008~8.000 mg/kg的范围内线性良好, 检出限为0.003 mg/kg, 定量限为0.008 mg/kg, 回收率为75.2%~94.9%, 相对标准偏差小于5.0%。结论 本研究建立的酶抑制-数字图像比色法绿色环保、简单高效, 且易于推广, 适用于蔬菜、水果和谷物等食品样品中农药残留的检测, 并且在多种农药的残留分析方面有良好的应用前景。

英文摘要:

      Objective To establish an enzyme inhibitation-digital image colorimetry for the detection and identification of dithiocarbamate, carbamate, and organophosphorus pesticide residues in vegetables, fruits, and cereals. Methods The efficient extraction of pesticides was conducted through the utilization of simple adhesive tape pasting and stripping, followed by deep eutectic solvent elution. Based on the inhibitory activity of dithiocarbamate, carbamate, and organophosphorus pesticides on tyrosinase, the oxidation ability of tyrosinase on phenolics was reduced, and then the reaction of phenolics and ferric chloride to produce colored substances was affected. The colorimetric array sensor of tyrosinase, phenolic substances (catechol, pyrogallol, and 4-aminophenol), and ferric chloride was established to realize the residue analysis of pesticides. Combined with principal component analysis, the distinction of multiple pesticides (ziram, ferbam, thiram, carbofuran, carbaryl, glyphosate, and acephate) was realized. Results The enzyme inhibition-digital image colorimetry method established in this study had a good linear effect on the residues of zinc in tomato, apple, and corn in the range of 0.008?8.000 mg/kg, the limit of detection was 0.003 mg/kg, and the limit of quantification was 0.008 mg/kg. The recoveries ranged from 75.2% to 94.9% with relative standard deviations less than 5.0%. Conclusion The enzyme inhibition-digital image colorimetry method established in this study is environmentally friendly, simple and efficient, and easy to popularize, which is suitable for the detection of pesticide residues in food samples such as vegetables, fruits, and cereals, and has a good application prospect in the analysis of multiple pesticide residues.