智能手机检测蔬菜中多种农药残留

Detection of pesticide residues in vegetables by smartphone

中文关键词:  蔬菜  智能手机  蛋白芯片  多菌灵  百菌清  克百威  农药残留

英文关键词:vegetables  smartphones  protein chips  carbendazim  chlorothalonil  carbofuran  pesticide residues

中文摘要:

      目的 建立基于可视化蛋白芯片法智能手机同时快速检测蔬菜中3种农药残留的分析方法。方法 依次向制备好的微孔板芯片中加入50 μL标准品工作液和50 μL相应的纳米银标记抗体, 在37 ℃、600 r/min下反应15 min; 再加入50 μL显色液进行显色并用智能手机进行拍照, Photoshop软件对图像进行反相, 再用genpix软件提取阵列点上的灰度值进行分析。结果 该方法对多菌灵、百菌清、克百威的定量检测范围分别为3~243 ng/mL、3~243 ng/mL、0.5~8 ng/mL, 相关系数r>0.99, 且3者之间的交叉反应率均<1%; 向不同种类的空白蔬菜中添加4种不同浓度的标准品时, 检测结果具有较高的准确度和重复性, 加标回收率为84.0%~118.0%, 变异系数均<10%(n=3); 检测限分别为79、69、15 ng/mL。结论 该法具有操作简便、检出限低、高通量、多指标同时检测, 且无需专业检测设备等优点, 适用于蔬菜中农药残留的同时快速检测。

英文摘要:

      Objective To establish a fast and simultaneous detection method of 3 pesticide residues in vegetables by smartphones based on visual protein chip method. Methods The prepared microporous plate chip was successively added with 50 μL standard working solution and 50 μL corresponding nano silver labeled antibody, and reacted at 37 ℃ and 600 r/min for 15 min. Then 50 μL color rendering solution was added for color rendering and photos were taken with a smartphone. Photoshop software was used to invert the image, and then genpix software was used to extract the gray value on the array points for analysis. Results The quantitative detection ranges of carbendazim, chlorothalonil and carbobicarb were 3?243 ng/mL, 3?243 ng/mL, and 0.5?8 ng/mL, respectively. The correlation coefficient r>0.99, and the cross reaction rates of the 3 groups were all less than 1%. When 4 kinds of standard substances with different concentrations were added to different kinds of blank vegetables, the detection results had high accuracy and repeatability. The recoveries were 84.0%?118.0%, and the coefficients of variation were all less than 10% (n=3). The limits of detection were 79, 69 and 15 ng/mL, respectively. Conclusion This method has the advantages of simple operation, low detection limit, high throughput, simultaneous detection of multiple indicators, and no need of professional testing equipment. It is suitable for simultaneous rapid detection of pesticide residues in vegetables.