Carbon dot- and gold nanocluster-based three-channel fluorescence array sensor: Visual detection of multiple metal ions in complex samples

Wang, Shuo; Deng, Gaoqiong; Yang, Jian; Chen, Hengye; Long, Wanjun; She, Yuanbin; Fu, Haiyan

doi:10.1016/j.snb.2022.132194

Cited by 29 publications

(11 citation statements)

References 39 publications

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“…As well-known approaches, building-in an array-based biosensor or adding the recognition element to the biosensors could be considered the most promising way to enhance the selectivity and sensitivity of the biosensors. [108][109][110] Thus, ML provides a new avenue for developing highly sensitive CLNMs-biosensors with good selectivity.…”

Section: Machine Learning-driven Optical Biosensor For Biomedical Dia...mentioning

confidence: 99%

Machine learning-driven advanced development of carbon-based luminescent nanomaterials

2022

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Section: Machine Learning-driven Optical Biosensor For Biomedical Dia...mentioning

confidence: 99%

Machine learning-driven advanced development of carbon-based luminescent nanomaterials

2022

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“…The metal nanoparticles can be prepared by chemical reduction, solvothermal and biosynthesis. Combining metal nanoparticles with CDs prevents their agglomeration, which often acts as ratiometric fluorescence and colorimetric sensors for monitoring metal ions [70] …”

Section: Modification Methodsmentioning

confidence: 99%

“…Combining metal nanoparticles with CDs prevents their agglomeration, which often acts as ratiometric fluorescence and colorimetric sensors for monitoring metal ions. [70] Kyanite mineral (AlSiO 5 ) is extensively available and relatively non-toxic. Sukhen Das et al developed a KYCD sensor for achieving the selective detection of Cr 6 + using N-CDs incorporated into kyanite (K) nanoparticles.…”

Section: Metal Nanoparticlesmentioning

confidence: 99%

Modification of Carbon Dots for Metal‐Ions Detection

Fan

Liu

et al. 2023

ChemistrySelect

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It is very appealing to develop cheap, highly sensitive and efficient metal ion fluorescence sensors as traditional instrument methods are inherently costly and time‐consuming. Carbon dots (CDs) are widely used for sensing metal ions, attributing to their merits of good biocompatibility, low toxicity, easy surface modification and excellent photostability. This article reviewed the research progress of CDs as metal ion sensors in recent years, and studied their modification methods and detection performances. Finally, the challenges and opportunities of CDs as metal ion sensors were also analyzed. This article is expected to provide inspiration and help for researchers focusing on CDs as metal ion sensors.

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“…The quenched CPDs were used to detect ascorbic acid due the formation of iron ascorbate, removing the quencher from CPDs with a corresponding enhancement of fluorescence emission. Wang et al [ 94 ] proved the ability of CQNDs to form stable complexes on the shell with several metal ions through complex formation with nitrogen-based residues. The interactions between metals and CDs could also be destructive as reported by Song et al [ 95 ].…”

Section: Cds’ Optical and Chemical Characteristicsmentioning

confidence: 99%

An Overview on Carbon Quantum Dots Optical and Chemical Features

et al. 2023

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Carbon quantum dots are the materials of a new era with astonishing properties such as high photoluminescence, chemical tuneability and high biocompatibility. Since their discovery, carbon quantum dots have been described as nanometric high-fluorescent carbon nanoparticles, but this definition has become weaker year after year. Nowadays, the classification and the physical explanation of carbon quantum dots optical properties and their chemical structure remain matter of debate. In this review, we provide a clear discussion on these points, providing a starting point for the rationalization of their classification and a comprehensive view on the optical and chemical features of carbon quantum dots.

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Carbon dot- and gold nanocluster-based three-channel fluorescence array sensor: Visual detection of multiple metal ions in complex samples

Cited by 29 publications

References 39 publications

Machine learning-driven advanced development of carbon-based luminescent nanomaterials

Machine learning-driven advanced development of carbon-based luminescent nanomaterials

Modification of Carbon Dots for Metal‐Ions Detection

An Overview on Carbon Quantum Dots Optical and Chemical Features

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