刘天月,高兢桧,周 帅,姚志轶.智能手机辅助铜纳米簇/金属有机框架杂化荧光探针检测小白菜中的百草枯[J].食品安全质量检测学报,2023,14(18):231-238 |
智能手机辅助铜纳米簇/金属有机框架杂化荧光探针检测小白菜中的百草枯 |
Smartphone-assisted detection of paraquat using a copper nanocluster/ metal-organic framework hybrid fluorescent probe |
投稿时间:2023-06-30 修订日期:2023-09-20 |
DOI: |
中文关键词: 金属有机框架 铜纳米簇 百草枯 比率荧光传感器 智能检测 |
英文关键词:metal-organic framework copper nanocluster paraquat ratiometric fluorescence sensor intelligent detection |
基金项目:国家自然科学基金面上项目(31871877), 北京市大学生科学研究与创业行动计划项目(S202210019031), 北京市大学生科学研究与创业行动计划项目(S202110019106) |
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中文摘要: |
目的 基于铜纳米簇(copper nanoclusters, CuNCs)/金属有机框架(metal-organic frameworks, MOF)复合材料谷胱甘肽(glutathione, GSH)-CuNCs/Al-MOF构建一种智能检测小白菜中百草枯的快速、简便的方法。方法 利用化学还原法和溶剂热法制备由GSH修饰的GSH-CuNCs和Al-MOF, 合成新型荧光传感材料GSH-CuNCs/Al-MOF, 并构建一种比率型荧光检测方法。通过百草枯和GSH-CuNCs的电子转移和静电相互作用, GSH-CuNCs聚集荧光发生淬灭, 而Al-MOF的荧光强度在整个过程中保持不变, 复合探针的荧光强度比率反映百草枯的浓度。结果 百草枯在5~100 μmol/L范围内线性关系良好, 检出限为1.4 μmol/L, 检测时间为7~15 min, 选择性和抗干扰能力良好。利用智能手机RGB识别可视化定量检测百草枯, 检出限为4.4 μmol/L。方法可用于小白菜中百草枯的检测, 回收率为96.05%~106.30%。结论 该方法首次实现对百草枯的比率荧光智能检测, 具有快速、简便、低成本等特点, 为联吡啶类除草剂的检测提供研究思路。 |
英文摘要: |
Objective To construct a rapid and simple intelligent detection method for paraquat in pakchoi based on copper nanoclusters (CuNCs)/metal-organic frameworks (MOF) composite glutathione (GSH)-CuNCs/Al-MOF. Methods GSH-CuNCs modified by GSH and Al-MOF were prepared by chemical reduction method and solvothermal method, and then a new fluorescent sensing material GSH-CuNCs/Al-MOF was synthesized and a ratiometric fluorescence detection method was constructed. Due to the electron transfer and electrostatic interaction between paraquat and GSH-CuNCs, GSH-CuNCs undergo aggregation-induced quenching, while the fluorescence intensity of Al-MOF remains unchanged throughout the process. The fluorescence intensity ratio of the composite probe reflects the concentration of paraquat. Results Paraquat had a good linear relationship in the range of 5?100 μmol/L, the limit of detection was 1.4 μmol/L. The detection time was 7?15 min, with good selectivity and anti-interference ability. The limit of detection of paraquat was 4.4 μmol/L by smartphone RGB recognition. The method could be used for the detection of paraquat in pakchoi, and the recoveries were 96.05%?106.30%. Conclusion This method realizes the ratio fluorescence intelligent detection of paraquat for the first time, which is fast, simple and low-cost, and provides research ideas for the detection of bipyridine herbicides. |
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