Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions-Reference-Cited by-同舟云学术

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Machine learning-assisted fluorescence visualization for sequential quantitative detection of aluminum and fluoride ions

Published:2025-03 Issue: Volume:149 Page:68-78
ISSN:1001-0742
Container-title:Journal of Environmental Sciences
language:en
Short-container-title:Journal of Environmental Sciences

Author:

Zhang Qiang,Li Xin,Yu Long,Wang Lingxiao^ORCID,Wen Zhiqing,Su Pengchen,Sun Zhenli,Wang Suhua

Publisher

Elsevier BV

Reference30 articles.

1. Bottom-up synthesis of carbon nanoparticles with higher doxorubicin efficacy;Bayda;J. Control Release,2017

2. Grafting of an aluminium surface with organic layers;Berisha;RSC Adv.,2016

3. Fluoride at waste oyster shell surfaces –role of magnesium;Chang;Sci. Total. Environ.,2019

4. Electrochemiluminescence of water-dispersed nitrogen and sulfur doped carbon dots synthesized from amino acids;Chen;Analyst,2021

5. A water-soluble and reversible fluorescent probe for Al3+ and F− in living cells;Diao;Sens. Actuators. B Chem.,2016

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