Yıldız Technical University, Department of Chemistry, 34349 İstanbul, Turkey.
Yıldız Technical University, Department of Chemical Engineering, 34349 İstanbul, Turkey.
Food Chem. 2020 Apr 25;310:125825. doi: 10.1016/j.foodchem.2019.125825. Epub 2019 Nov 7.
Preconcentration of cobalt was carried out with deep eutectic solvent based liquid phase microextraction (DES-LPME) for trace determination by a slotted quartz tube (SQT) attached flame atomic absorption spectrometry (FAAS) system. Choline chloride and phenol in a 1:2 M ratio was used as a green solvent to extract cobalt from the aqueous sample solution. Key parameters influencing the extraction efficiency of cobalt were examined and optimized. Under the conditions optimized, the linear dynamic range was found between 5.0 and 50 µg L, and the limits of detection and quantification (LOD and LOQ) were calculated as 2.0 and 6.6 µg L, respectively. The detection power of the conventional FAAS was improved upon by 67 folds using the optimized DES-LPME-SQT-FAAS method. The developed analytical method was successfully applied for the determination of cobalt in linden tea samples and the recovery results obtained for different spiked concentrations (20, 30 and 40 µg L) were remarkable (≈100%).
采用深共晶溶剂液相微萃取（DES-LPME），通过带有狭缝石英管（SQT）的火焰原子吸收光谱法（FAAS）系统，对痕量钴进行预浓缩，用于微量测定。氯化胆碱和苯酚以 1:2 M 的比例用作绿色溶剂，从水样中萃取钴。考察并优化了影响钴萃取效率的关键参数。在优化的条件下，钴的线性动态范围为 5.0 至 50 µg L，检测限和定量限（LOD 和 LOQ）分别计算为 2.0 和 6.6 µg L。与优化后的 DES-LPME-SQT-FAAS 方法相比，常规 FAAS 的检测能力提高了 67 倍。该方法成功应用于 Linden 茶样品中钴的测定，不同加标浓度（20、30 和 40 µg L）的回收结果显著（≈100%）。
