Ultratrace Determination of Cd (II) in Water, Salt, Environmental, Alloy, and Biological Samples by Liquid–Liquid Extraction Followed by Inductively Coupled Plasma Mass Spectrometry Technique

化学 电感耦合等离子体质谱法 萃取(化学) 基质(化学分析) 检出限 标准物质 色谱法 分析物 质谱法 样品制备 感应耦合等离子体 分析化学(期刊) 等离子体 物理 有机化学 量子力学
作者
Chandramauly Sharma,Kuldeep Sharma,Bignesh Thakur,Anupam Dixit
出处
期刊:Rapid Communications in Mass Spectrometry [Wiley]
卷期号:40 (1): e10150-e10150
标识
DOI:10.1002/rcm.10150
摘要

ABSTRACT Rationale Cadmium is a highly toxic heavy metal associated with severe environmental and health risks, making its precise quantification in complex matrices critical. Inductively coupled plasma mass spectrometry (ICP–MS) is one of the most powerful tools for trace metal analysis due to its exceptional sensitivity, selectivity, and multielement capability. However, accurate detection often requires effective preconcentration and matrix elimination strategies. Method A liquid–liquid extraction procedure was developed using N,N′‐diphenyl sebacoyl dihydroxamic acid (DPSDHA) as a selective complexing ligand for cadmium. The Cd–DPSDHA binary complex formed at pH 9.5 was extracted into dichloromethane, effectively preconcentrating cadmium and minimizing matrix interference prior to ICP–MS measurement. The optimized conditions ensured maximum recovery and stability of the analyte, thereby improving detection limits and analytical precision. Result Coupling the DPSDHA extraction with ICP–MS enabled trace‐level determination of cadmium with excellent sensitivity and reproducibility. The method exhibited a wide linear dynamic range, low detection limits, and strong resistance to matrix interferences, ensuring accurate quantification in complex samples. Application to water, alloy, environmental, and biological samples yielded accurate results, which were consistent with certified reference values. Conclusions The combination of selective DPSDHA‐based extraction with ICP–MS provides a robust, highly sensitive approach for cadmium determination in diverse sample matrices. This methodology enhances detection accuracy by reducing matrix effects, making it well‐suited for environmental monitoring, industrial quality control, and biological studies where trace‐level cadmium analysis is essential.
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