Quantum Dots-based IoT Interfaced Water Quality Detection

Abstract Growth of industrial development, suburbanization and world populace needs fresh water for development of economy and sustainable life. Fluoride ions present in drinking water at excessive levels can cause several chronic health issues, such as dental fluorosis, skeletal fluorosis, arthritis, bone and muscle degeneration, osteoporosis, and weariness. Optical chemo-sensors can identify various cations and anions in a domain. Due to their exceptional qualities, GQDs gained a lot of interest as fluorescent and tiny carboniferous nano-structures used for building contaminants detection devices e.g. simplistic surface variation, photostability, optical tunability and ecological friendliness. Raman spectroscopy is used for morphological detection, while FTIR and XRD methods are used to identify a specific functional group. Our results show that functional group doped graphene quantum dots exhibit exceptional sensitivity and selectivity toward Fluoride, enabling reliable detection of Fluoride concentrations below 0.2 μg/L in a limited instant. Testing of Fluoride with QDs is more rapid, straight-forward, labor-free than traditional procedures. As a result, the technology for Fluoride detection that is currently available may be quickly applied in the field and is especially helpful for testing the water quality in communities with limited resources. In this paper, the recommended IoT sensor, which is particularly helpful in rural areas is able to identify Fluoride in common applications for non-expert users.

• Publication year

  2025

• Venue

  Integrated Ferroelectrics

• Publication date

  2025-03-24

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1080/10584587.2025.2482409
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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