2022
DOI: 10.1016/j.chemosphere.2022.135174
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A novel fluorescent “OFF-ON” sensing strategy for Hg (II) in water based on functionalized gold nanoparticles

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Cited by 15 publications
(2 citation statements)
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“…165,166 In previous studies, we observed that GNS nanoarchitectonics involving metal ions could enhance biomolecular recognition at the interface. 167,168 This approach has been applied to investigate molecular recognition interactions between chiral amino acids 109 and develop an electrochemical selective detection strategy for carnitine enantiomers through DNA hybridization chain reactions. 111 GNSs have shown promise in the early diagnosis of oral cancer, overcoming the limitations of existing imaging and chemical-based diagnostic methods.…”
Section: Advanced Diagnostic Applicationsmentioning
confidence: 99%
“…165,166 In previous studies, we observed that GNS nanoarchitectonics involving metal ions could enhance biomolecular recognition at the interface. 167,168 This approach has been applied to investigate molecular recognition interactions between chiral amino acids 109 and develop an electrochemical selective detection strategy for carnitine enantiomers through DNA hybridization chain reactions. 111 GNSs have shown promise in the early diagnosis of oral cancer, overcoming the limitations of existing imaging and chemical-based diagnostic methods.…”
Section: Advanced Diagnostic Applicationsmentioning
confidence: 99%
“…19,20 Lanthanide metal-organic frameworks (Ln-MOFs), formed by lanthanide ions and organic ligands, are a class of open framework materials with large specic surface area, high porosity and unique uorescence properties, which make them a promising material in sensing detection. 21,22 Lanthanide ions with a special electronic conguration can interact with organic ligands, thus exhibiting a high coordination number and exible coordination conguration. 23,24 Lanthanide ions of Ln-MOFs are capable of being excited by various sensitizing chromophores or ligand-metal charge transfer (LMCT).…”
Section: Introductionmentioning
confidence: 99%