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Ultra-trace cadmium determination in eucalyptus and rosemary tea samples using a novel method: deep eutectic solvent based magnetic nanofluid liquid phase microextraction-slotted quartz tube-flame atomic absorption spectrometry
Journal of Analytical Atomic Spectrometry ( IF 3.1 ) Pub Date : 2020-08-10 , DOI: 10.1039/d0ja00276c
Nursu Aylin Kasa 1, 2, 3, 4, 5 , Buse Tuğba Zaman 1, 2, 3, 4, 5 , Sezgin Bakırdere 1, 2, 3, 4, 5
Affiliation  

In this study, a deep eutectic solvent-based magnetic nanofluid liquid phase microextraction method (DES-MNF-LPME) was developed for the preconcentration of cadmium prior to its determination using the slotted quartz tube flame atomic absorption spectrophotometry (SQT-FAAS) system. A MNF consists of magnetic metal oxide nanoparticles (MNPs) and a deep eutectic solvent. To achieve a high extraction efficiency, the choline chloride-phenol ratio for DES formation, mixing period for MNF formation, MNP amount in DES, MNF volume, mixing type, vortex period, eluent concentration and sonication period were optimized before instrumental measurements. The limit of detection (LOD) and the limit of quantification (LOQ) values of the method developed under the optimum conditions were calculated to be 0.25 ng mL−1 and 0.84 ng mL−1, respectively. A linear calibration plot was constructed between 1.0 and 30 ng mL−1, and relative standard deviation (n = 6) was calculated to be 5.0%. The developed DES-MNF-LPME-SQT-FAAS method achieved 330 times improvement in detection power compared to the traditional FAAS system based on LOD comparison. In order to test the accuracy and applicability of the method, the method was applied to eucalyptus and rosemary tea samples. The recovery values obtained were very close to 100% with low standard deviation.

中文翻译:

新型方法测定桉树和迷迭香茶样品中的痕量镉:基于深共熔溶剂的磁性纳米流体液相微萃取狭缝石英管-火焰原子吸收光谱法

在这项研究中,开发了一种基于低共熔溶剂的磁性纳米流体液相微萃取方法(DES-MNF-LPME),用于在使用狭缝石英管火焰原子吸收分光光度法(SQT-FAAS)系统测定镉之前对镉进行预浓缩。MNF由磁性金属氧化物纳米颗粒(MNP)和深共熔溶剂组成。为了获得较高的萃取效率,在仪器测量之前,对DES形成的胆碱氯-苯酚比率,MNF形成的混合时间,DES中的MNP量,MNF体积,混合类型,涡旋时间,洗脱液浓度和超声处理时间进行了优化。在最佳条件下开发的方法的检测极限(LOD)和定量极限(LOQ)值经计算为0.25 ng mL -1和分别为0.84 ng mL -1。在1.0和30 ng mL -1之间构建线性校准图,相对标准偏差(n = 6)计算为5.0%。与基于LOD比较的传统FAAS系统相比,开发的DES-MNF-LPME-SQT-FAAS方法的检测能力提高了330倍。为了检验该方法的准确性和适用性,将该方法应用于桉树茶和迷迭香茶样品。获得的回收率非常接近100%,标准偏差低。
更新日期:2020-08-10
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