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Carbon nano-architectures, which comprise a myriad variety of graphene, graphene oxide, and carbon nanotubes, are emerging as powerful resources in the development of advanced sensing technologies owing to their distinctive properties, such as high surface area, tunable electronic and optical properties, and environmental compatibility. Because of their exceptional characteristics, they are excellent candidates for fluorescence-based detection of environmental contaminants and the design of computational operations toward environmental monitoring. The precise sensing abilities of carbon nano-architectures can be attributed to different fluorescence-based sensing mechanisms, such as intramolecular charge transfer (ICT), excited-state intramolecular proton transfer (ESIPT), photoinduced electron transfer (PET), and Förster resonance energy transfer (FRET), which are pivotal in the detection of common environmental toxicants like heavy metals, organic pollutants, and per- and polyfluoroalkyl substances (PFAS). Carbon nanomaterials also enable the application of molecular computing principles to create elementary logic gates to advanced logic devices or smart technologies that can accomplish complex environmental detection tasks in real-time. Furthermore, these nano-architectures also serve as catalytic scaffolds for promulgating different chemical and biological reactions vital for environmental preservation and healthcare. However, in spite of their potential, the practical application of carbon nano-architectures remains hindered by issues of stability, scalability, and matrix effects. To overcome these hurdles, future efforts must focus on improving functionalization strategies and integrating these systems with smart technologies to enhance their sensitivity and reliability, improve their synthesis and fabrication process, and augment overall performance in environmental sensing applications. Their integration into economic and portable sensor systems holds the potential for real-time monitoring of ecological and physiological parameters, resulting in sustainable and more targeted advancements.

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Carbon-Nano-Architectonic for Fluorescence-Based Detection of Environmental Contaminants and Logic Gate Operations

  • 章节

  • 发表日期：

    2025年

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  • Prayasee Baruah,
  • Jouharsha Afthab,
  • Ramjayakumar Venkatesh,
  • Mohamed Nabeel Mattath

摘要

Carbon nano-architectures, which comprise a myriad variety of graphene, graphene oxide, and carbon nanotubes, are emerging as powerful resources in the development of advanced sensing technologies owing to their distinctive properties, such as high surface area, tunable electronic and optical properties, and environmental compatibility. Because of their exceptional characteristics, they are excellent candidates for fluorescence-based detection of environmental contaminants and the design of computational operations toward environmental monitoring. The precise sensing abilities of carbon nano-architectures can be attributed to different fluorescence-based sensing mechanisms, such as intramolecular charge transfer (ICT), excited-state intramolecular proton transfer (ESIPT), photoinduced electron transfer (PET), and Förster resonance energy transfer (FRET), which are pivotal in the detection of common environmental toxicants like heavy metals, organic pollutants, and per- and polyfluoroalkyl substances (PFAS). Carbon nanomaterials also enable the application of molecular computing principles to create elementary logic gates to advanced logic devices or smart technologies that can accomplish complex environmental detection tasks in real-time. Furthermore, these nano-architectures also serve as catalytic scaffolds for promulgating different chemical and biological reactions vital for environmental preservation and healthcare. However, in spite of their potential, the practical application of carbon nano-architectures remains hindered by issues of stability, scalability, and matrix effects. To overcome these hurdles, future efforts must focus on improving functionalization strategies and integrating these systems with smart technologies to enhance their sensitivity and reliability, improve their synthesis and fabrication process, and augment overall performance in environmental sensing applications. Their integration into economic and portable sensor systems holds the potential for real-time monitoring of ecological and physiological parameters, resulting in sustainable and more targeted advancements.