Wuya College of Innovation, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenyang, 110016, Liaoning, People's Republic of China.
Mikrochim Acta. 2022 Jul 8;189(8):274. doi: 10.1007/s00604-022-05346-x.
A novel, green, and effective strategy employing FeO-modified carbon nanofibers (CNFs) combined with deep eutectic solvent (DES) is proposed as an extraction agent to extract five pesticides in edible oil samples via dual microextraction modes, followed by high-performance liquid chromatography for determination. The FeO@CNFs nanomaterial and a sequence of hydrophilic DES were prepared at first and then characterized by multiple techniques. Subsequently, the extraction performance of DES and FeO@CNFs-DES was compared and FeO@CNFs-DES exhibited better extraction ability. After that, several influencing parameters such as the composition of DES, the amount of FeO@CNFs-DES, the dispersion methods, and the extraction time were investigated and optimized. Eventually, FeO@CNFs as the solid adsorbent combined with tetrabutylammonium chloride-lactic acid-based DES as the extraction solvent were selected to extract target pesticides from oil samples. The established method received good linearity in the range 25-1000 ng·g. The limits of detection for all analytes were in the range 2.25-7.50 ng·mL. Satisfactory recoveries of target pesticides were obtained (ranging from 82 to 117%) with a relative standard deviation of 0.26-9.46%. The proposed method has been successfully applied to the rapid detection of target pesticides in oil samples, demonstrating its great potential for quick screening and analysis.
提出了一种新颖、绿色且有效的策略,采用 FeO 修饰的碳纳米纤维(CNFs)与深共晶溶剂(DES)结合,作为提取剂,通过双重微萃取模式提取食用油样品中的五种农药,然后通过高效液相色谱法进行测定。首先制备了 FeO@CNFs 纳米材料和一系列亲水性 DES,并通过多种技术进行了表征。随后,比较了 DES 和 FeO@CNFs-DES 的萃取性能,FeO@CNFs-DES 表现出更好的萃取能力。然后,研究并优化了 DES 的组成、FeO@CNFs-DES 的用量、分散方法和萃取时间等影响参数。最终,选择 FeO@CNFs 作为固体吸附剂,四丁基氯化铵-乳酸基 DES 作为萃取溶剂,从油样中提取目标农药。该方法在 25-1000ng·g 的范围内具有良好的线性关系。所有分析物的检出限均在 2.25-7.50ng·mL 范围内。目标农药的回收率良好(82-117%),相对标准偏差为 0.26-9.46%。该方法已成功应用于油样中目标农药的快速检测,证明其在快速筛选和分析方面具有很大的潜力。