Department of Chemistry, Yasouj University, Yasouj 75918-74831, Iran.
Analyst. 2019 Apr 8;144(8):2684-2695. doi: 10.1039/c8an02484g.
Herein, the CuO/ZnO@Fe3O4-carbon nanotubes (CNTs)-nanocomposite (NC), as a sorbent for magnetic dispersive micro-solid phase extraction, was developed for the determination of chlorogenic acid (CGA) in the medical extract of plants, food, and water samples in combination with high-performance liquid chromatography. The CuO/ZnO@Fe3O4-CNTs-NC was characterized by FESEM, EDS, XRD, TEM, BET, FT-IR, and VSM. Significant parameters (pH, temperature, eluent volume, vortex time, sonication time, CuO/ZnO@Fe3O4-CNTs-NC mass, and desorption time) that affected the extraction efficiency of CGA were optimized using Plackett-Burman as the screening design and the central composite design as the optimization strategy. Under the optimized conditions, the analytical parameters were obtained. The optimized method showed good linearity and a linear regression coefficient >0.9893. The enrichment factors ranged from 102.43 to 123.76 with the preconcentration factor of 60.0. The limits of detection (LOD) and the limits of quantification (LOQ) were 0.034-0.061 ng mL-1 and 0.114-0.202 ng mL-1, respectively. The method also reflected acceptable accuracy (from 94.07% to 109.7%) and the broad potential applications of CuO/ZnO@Fe3O4-CNTs-NC for the detection of CGA content in the medical extract of plants, food, and water samples.
在此，CuO/ZnO@Fe3O4-碳纳米管（CNT）-纳米复合材料（NC）作为磁性分散微固相萃取的吸附剂，与高效液相色谱法结合，用于测定植物、食品和水样中的医学提取物中的绿原酸（CGA）。CuO/ZnO@Fe3O4-CNTs-NC 采用 FESEM、EDS、XRD、TEM、BET、FT-IR 和 VSM 进行了表征。采用 Plackett-Burman 作为筛选设计，中心复合设计作为优化策略，优化了影响 CGA 萃取效率的重要参数（pH、温度、洗脱体积、涡旋时间、超声时间、CuO/ZnO@Fe3O4-CNTs-NC 质量和洗脱时间）。在优化条件下，获得了分析参数。优化后的方法具有良好的线性，线性回归系数>0.9893。富集因子范围为 102.43-123.76，预浓缩因子为 60.0。检测限（LOD）和定量限（LOQ）分别为 0.034-0.061ng mL-1和 0.114-0.202ng mL-1。该方法还反映了可接受的准确性（94.07%-109.7%），以及 CuO/ZnO@Fe3O4-CNTs-NC 用于检测植物、食品和水样中 CGA 含量的广泛潜在应用。
