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Colorimetric identification of colorless acid vapors using a metal-organic framework-based sensor

Author

Listed:
  • Wonhyeong Jang

    (Seoul National University)

  • Hyejin Yoo

    (Seoul National University)

  • Dongjun Shin

    (Seoul National University)

  • Seokjin Noh

    (Seoul National University)

  • Jin Yeong Kim

    (Seoul National University)

Abstract

In terms of safety and emergency response, identifying hazardous gaseous acid chemicals is crucial for ensuring effective evacuation and administering proper first aid. However, current studies struggle to distinguish between different acid vapors and remain in the early stages of development. In this study, we propose an on-site monitorable acid vapor decoder, MOF-808-EDTA-Cu, integrating the robust MOF-808 with Cu-EDTA, functioning as a proton-triggered colorimetric decoder that translates the anionic components of corrosive acids into visible colors. The sensor exhibits a cyan-to-yellow shift when exposed to HCl vapor and can visually differentiate various acidic vapors (HF, HBr, and HI) through unique color changes. Furthermore, the compatibility of the MOF-based sensor with multiple metal ions having atomic-level dispersion broadens its discrimination range, enabling the identification of six different colorless acid vapors within a single sensor domain. Additionally, by incorporating a flexible polymer, the MOF-808-EDTA-Cu has been successfully processed into a portable miniaturized acid sensor, exhibiting distinct color changes that can be easily monitored by the naked eye and camera sensors. This provides experimental validation as a practical sensor capable of on-site 24-hour monitoring in the real world.

Suggested Citation

  • Wonhyeong Jang & Hyejin Yoo & Dongjun Shin & Seokjin Noh & Jin Yeong Kim, 2025. "Colorimetric identification of colorless acid vapors using a metal-organic framework-based sensor," Nature Communications, Nature, vol. 16(1), pages 1-10, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-024-55774-x
    DOI: 10.1038/s41467-024-55774-x
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    References listed on IDEAS

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    1. Pintu K. Kundu & Gregory L. Olsen & Vladimir Kiss & Rafal Klajn, 2014. "Nanoporous frameworks exhibiting multiple stimuli responsiveness," Nature Communications, Nature, vol. 5(1), pages 1-9, May.
    2. Yaguang Peng & Hongliang Huang & Yuxi Zhang & Chufan Kang & Shuangming Chen & Li Song & Dahuan Liu & Chongli Zhong, 2018. "A versatile MOF-based trap for heavy metal ion capture and dispersion," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
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