Zhao Luyao, Wang Min, Wang Jiadong, Wu Jing, Zhang Zhuoting, Jing Xu, Wang Xiaowen
College of Food Science and Engineering, Shanxi Agricultural University, Taigu, Shanxi 030801, China.
Tianjin Key Laboratory of Food Science and Health, School of Medicine, Nankai University, Tianjin 300071, China.
Anal Methods. 2023 Feb 2;15(5):648-654. doi: 10.1039/d2ay01861f.
A detection method of carbofuran (CBF) in water samples was reported using deep eutectic solvent (DES)-based dispersive liquid-liquid microextraction (DLLME) combined with digital image colorimetry (DIC), which was environmentally friendly, solvent-saving, rapid, and convenient. Under alkaline conditions, the green and multifunctional extractant DESs dissociated into linalool and heptanoic acid, and CBF was hydrolyzed to 2,3-dihydro-2,2-dimethyl-7-benzofuranol and further coupled with fast blue BB salt to form an azo derivative. Heptanoic acid led to the dispersion of linalool to extract the orange-red azo derivative; DIC was used for quantitative analysis using a smartphone with its associated ease of data-acquisition. This experiment optimized the types, molar ratios, and volumes of DESs and the amounts of sodium carbonate and sodium chloride. Under optimal conditions, the limits of detection (LOD) and quantitation (LOQ) were 0.024-0.032 mg L and 0.081-0.108 mg L, respectively. The extraction recoveries in real samples (tap, pond, and river water) were 92.4-101.0% with a relative standard deviation below 4.6%. This method has successfully analyzed CBF in different water samples and shows prospects for the monitoring and control of CBF residues in other environmental samples.
报道了一种基于深共熔溶剂(DES)的分散液液微萃取(DLLME)结合数字图像比色法(DIC)检测水样中呋喃丹(CBF)的方法,该方法环保、节省溶剂、快速且方便。在碱性条件下,绿色多功能萃取剂DESs分解为芳樟醇和庚酸,CBF水解为2,3-二氢-2,2-二甲基-7-苯并呋喃醇,再与固蓝BB盐偶联形成偶氮衍生物。庚酸使芳樟醇分散以萃取橙红色偶氮衍生物;利用智能手机通过DIC进行定量分析,数据采集简便。该实验优化了DESs的类型、摩尔比、体积以及碳酸钠和氯化钠的用量。在最佳条件下,检测限(LOD)和定量限(LOQ)分别为0.024 - 0.032 mg/L和0.081 -0.108 mg/L。实际样品(自来水、池塘水和河水)中的萃取回收率为92.4 - 101.0%,相对标准偏差低于4.6%。该方法已成功分析了不同水样中的CBF,显示出在监测和控制其他环境样品中CBF残留方面的应用前景。