Key Laboratory of Chemistry of Northwestern Plant Resources, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, PR China.
Food Chem. 2013 Aug 15;139(1-4):246-52. doi: 10.1016/j.foodchem.2013.01.112. Epub 2013 Feb 10.
An effective and sensitive method to determinate five carbamate pesticides in apples was developed by using carbon nanotubes-reinforced hollow fibre solid-phase microextraction (CNTs-HF-SPME) combined with high performance liquid chromatography-photodiode array detection (HPLC-DAD). The CNTs were dispersed in water via adding surfactant, and then were held in the pores of HF supported by capillary forces and sonification. The SPME device, which was wetted with 1-octanol, was placed in a stirred apple samples to extract target analytes. After extraction, analytes were desorbed and analyzed using HPLC-DAD. Under the optimized extraction conditions, the enrichment factors were achieved in the range from 49 to 308 with good inter-fibre repeatability and batch-to-batch reproducibility, while good linearity ranges and recoveries were obtained. The limits of detection ranged from 0.09 to 6.00 ng/g. Therefore, the results demonstrated that this novel method was an efficient pretreatment and enrichment procedure for the determination of trace carbamate pesticides in apples.
采用碳纳米管增强中空纤维固相微萃取(CNTs-HF-SPME)结合高效液相色谱-光电二极管阵列检测(HPLC-DAD),建立了一种测定苹果中 5 种氨基甲酸酯类农药的有效、灵敏方法。将 CNTs 通过添加表面活性剂分散在水中,然后在毛细管力和超声的支持下保持在 HF 的孔中。将润湿 1-辛醇的 SPME 装置置于搅拌的苹果样品中以提取目标分析物。萃取后,使用 HPLC-DAD 对分析物进行解吸和分析。在优化的萃取条件下,富集因子在 49 至 308 之间,纤维间重现性和批间重现性良好,同时获得了良好的线性范围和回收率。检出限范围为 0.09 至 6.00 ng/g。因此,结果表明,该新方法是一种用于测定苹果中痕量氨基甲酸酯类农药的有效预处理和富集方法。