Development of an iron-metal organic Framework-based dispersive solid phase extraction coupled with flame atomic absorption spectrophotometry for the accurate and sensitive determination of copper in lion's claw tea samples

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Zeynep Tekn Semerci, K. Übra Karakebap, Devrim Nur Karaman, Eylül Yilmaz, Gamze Dalgiç Bozyğt, Elif Öztürk ER and Sezgin Bakirdere
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Abstract

An iron-based metal organic framework (Fe-MOF) constructed using terephthalic acid as an organic linker was synthesized and characterized for its implementation in a dispersive solid-phase extraction (dSPE) procedure. This strategy was combined with a flame atomic absorption spectrophotometry (FAAS) system and employed for the preconcentration and trace level detection of copper in lion's claw tea samples. Under optimal conditions, the Fe-MOF based dSPE-FAAS method achieved a limit of detection (LOD) of 2.0 μg L−1 and a limit of quantification (LOQ) of 6.7 μg L−1. The determination coefficient (R2) was found to be 0.9984 for the concentration range of 5.0–100 μg L−1, indicating superior linearity for the developed Fe-MOF-dSPE-FAAS method. The sensitivity was enhanced by 88.2 folds. Moreover, acceptable recovery percentages at five different spiked levels within the concentration range of 7.5–75 μg L−1 for the lion's claw tea sample matrix were achieved through the application of a matrix matching strategy.

Abstract Image

铁-金属有机骨架色散固相萃取-火焰原子吸收分光光度法测定狮爪茶样品中铜的方法研究。
以对苯二甲酸作为有机连接剂,合成了一种铁基金属有机框架(Fe-MOF),并对其在分散固相萃取(dSPE)程序中的应用进行了表征。该方法与火焰原子吸收分光光度法(FAAS)系统相结合,用于狮爪茶样品中铜的预浓缩和痕量检测。在最佳条件下,基于 Fe-MOF 的 dSPE-FAAS 方法的检出限(LOD)为 2.0 μg L-1,定量限(LOQ)为 6.7 μg L-1。在 5.0-100 μg L-1 浓度范围内,测定系数(R2)为 0.9984,表明所建立的 Fe-MOF-dSPE-FAAS 方法具有良好的线性关系。灵敏度提高了 88.2 倍。此外,通过应用基质匹配策略,狮爪茶样品基质在 7.5-75 μg L-1 浓度范围内的五个不同加标水平的回收率均达到了可接受的水平。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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