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一种有效的方法使用金属有机框架来测定实际自来水和人体血浆样本中的镉离子。

An effective procedure used metal-organic framework for determination of cadmium ions in real tap water and human blood plasma samples.

作者信息

Sari Abdullah Ali A, Alzahrani Seraj Omar, Alatawi Ibrahim S S, Aljohani Meshari M, Shah Reem, Saad Fawaz A, Khalil M A, El-Metwaly Nashwa M

机构信息

Department of Chemistry, University College in Al-Jamoum, Umm Al-Qura University, 21955 Makkah, Saudi Arabia.

Chemistry Department, College of Science, Taibah University, Madinah 42353, Saudi Arabia.

出版信息

Spectrochim Acta A Mol Biomol Spectrosc. 2025 Jan 5;324:124989. doi: 10.1016/j.saa.2024.124989. Epub 2024 Aug 14.

DOI:10.1016/j.saa.2024.124989
PMID:39154403
Abstract

A newly developed 2H5MA-MOF sensor by covalently linking NH-MIL-53(Al) with 2'-Hydroxy-5'-methylacetophenon, designed for highly sensitive and selective detection of Cd ions using fluorometric methods. Detailed structural and morphological analyses confirmed the sensor's unique properties. It demonstrated an impressive linear detection range from 0 to 2 ppm, with an exceptionally low detection limit of 5.77 × 10 ppm and a quantification limit of 1.75 × 10 ppm, indicating its high sensitivity (R = 0.9996). The sensor also responded quickly, detecting Cd within just 30 s at pH 4. We successfully tested it on real samples of tap water and human blood plasma, achieving recovery rates between 96 % and 104 %. The accuracy of these findings was further validated by comparison with ICP-OES. Overall, the 2H5MA-MOF sensor shows great potential for fast, ultra-sensitive, and reliable detection of Cd ions, making it a promising tool for environmental and biomedical applications.

摘要

一种新开发的2H5MA-MOF传感器,通过将NH-MIL-53(Al)与2'-羟基-5'-甲基苯乙酮共价连接而成,设计用于采用荧光法对镉离子进行高灵敏度和高选择性检测。详细的结构和形态分析证实了该传感器的独特性能。它展现出令人印象深刻的线性检测范围为0至2 ppm,具有极低的检测限5.77×10 ppm和定量限1.75×10 ppm,表明其具有高灵敏度(R = 0.9996)。该传感器响应也很快,在pH 4时仅需30秒就能检测到镉。我们成功地在自来水和人体血浆的实际样品上进行了测试,回收率在96%至104%之间。通过与电感耦合等离子体发射光谱法(ICP-OES)比较,进一步验证了这些结果的准确性。总体而言,2H5MA-MOF传感器在快速、超灵敏和可靠地检测镉离子方面显示出巨大潜力,使其成为环境和生物医学应用中有前景的工具。

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