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用于饮用水传感应用的镁选择性检测。

Selective Detection of Mg for Sensing Applications in Drinking Water.

机构信息

Department of Pure and Applied Sciences, University of Urbino "Carlo Bo", Via della Stazione 4, I-61029, Urbino, Italy.

Department of Chemical Sciences and Technology, University of Rome "Tor Vergata", Via della Ricerca Scientifica 1, I-00133, Roma, Italy.

出版信息

Chemistry. 2022 Sep 1;28(49):e202201062. doi: 10.1002/chem.202201062. Epub 2022 Jul 8.

DOI:10.1002/chem.202201062
PMID:35622380
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9542287/
Abstract

A new series of ligands containing the 2-(2-hydroxy-3- naphthyl)-4-methylbenzoxazole (HNBO) fluorophore showed selectivity for Mg ions, without the interference of Ca . The most promising representative L3 resulted the best performing sensor for Mg both in solution and embedded in an all-solid-state optode, especially towards real samples of drinkable water.

摘要

一系列新型配体包含 2-(2-羟基-3-萘基)-4-甲基苯并恶唑（HNBO）荧光团，对镁离子具有选择性，而不受钙离子的干扰。最有前途的代表性配体 L3 是在溶液中和嵌入全固态光纤中检测镁的表现最好的传感器，特别是对可饮用水的实际样品。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/25b592e50d9c/CHEM-28-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/0e19046ad223/CHEM-28-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/bf67094c399a/CHEM-28-0-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/9a81f7becdfc/CHEM-28-0-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/e9d8b627f85f/CHEM-28-0-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/6daae01cd577/CHEM-28-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/92036a6c6454/CHEM-28-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/a6b130b100b4/CHEM-28-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/25b592e50d9c/CHEM-28-0-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/0e19046ad223/CHEM-28-0-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/bf67094c399a/CHEM-28-0-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/9a81f7becdfc/CHEM-28-0-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/e9d8b627f85f/CHEM-28-0-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/6daae01cd577/CHEM-28-0-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/92036a6c6454/CHEM-28-0-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/a6b130b100b4/CHEM-28-0-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a053/9542287/25b592e50d9c/CHEM-28-0-g004.jpg

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本文引用的文献

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RSC Adv. 2018 Apr 3;8(23):12573-12587. doi: 10.1039/c8ra00946e.
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A smart diagnostic tool based on deep kernel learning for on-site determination of phosphate, calcium, and magnesium concentration in a hydroponic system.一种基于深度核学习的智能诊断工具，用于现场测定水培系统中磷酸盐、钙和镁的浓度。
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Magnesium: Biochemistry, Nutrition, Detection, and Social Impact of Diseases Linked to Its Deficiency.
具有激发态分子内质子转移发射的杂环分子：合成方法、分子多样性及应用策略
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镁：与缺乏相关的疾病的生物化学、营养、检测及其社会影响。
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