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Host-guest liquid gating mechanism with specific recognition interface behavior for universal quantitative chemical detection

Author

Listed:
  • Huimeng Wang

    (Xiamen University)

  • Yi Fan

    (Xiamen University)

  • Yaqi Hou

    (Xiamen University
    Xiamen University)

  • Baiyi Chen

    (Xiamen University)

  • Jinmei Lei

    (Xiamen University)

  • Shijie Yu

    (Xiamen University)

  • Xinyu Chen

    (Xiamen University)

  • Xu Hou

    (Xiamen University
    Xiamen University
    Xiamen University
    Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM))

Abstract

Universal visual quantitative chemical detection technology has emerged as an increasingly crucial tool for convenient testing with immediate results in the fields of environmental assessment, homeland security, clinical drug testing and health care, particularly in resource-limited settings. Here, we show a host-guest liquid gating mechanism to translate molecular interface recognition behavior into visually quantifiable detection signals. Quantitative chemical detection is achieved, which has obvious advantages for constructing a portable, affordable, on-site sensing platform to enable the visual quantitative testing of target molecules without optical/electrical equipment. Experiments and theoretical calculations confirm the specificity and scalability of the system. This mechanism can also be tailored by the rational design of host-guest complexes to quantitatively and visually detect various molecules. With the advantages of versatility and freedom from additional equipment, this detection mechanism has the potential to revolutionize environmental monitoring, food safety analysis, clinical drug testing, and more.

Suggested Citation

  • Huimeng Wang & Yi Fan & Yaqi Hou & Baiyi Chen & Jinmei Lei & Shijie Yu & Xinyu Chen & Xu Hou, 2022. "Host-guest liquid gating mechanism with specific recognition interface behavior for universal quantitative chemical detection," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29549-1
    DOI: 10.1038/s41467-022-29549-1
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    References listed on IDEAS

    as
    1. Xu Hou & Yuhang Hu & Alison Grinthal & Mughees Khan & Joanna Aizenberg, 2015. "Liquid-based gating mechanism with tunable multiphase selectivity and antifouling behaviour," Nature, Nature, vol. 519(7541), pages 70-73, March.
    2. Ole Herud-Sikimić & Andre C. Stiel & Martina Kolb & Sooruban Shanmugaratnam & Kenneth W. Berendzen & Christian Feldhaus & Birte Höcker & Gerd Jürgens, 2021. "A biosensor for the direct visualization of auxin," Nature, Nature, vol. 592(7856), pages 768-772, April.
    3. Mohamed Shehata Draz & Kamyar Mehrabi Kochehbyoki & Anish Vasan & Dheerendranath Battalapalli & Aparna Sreeram & Manoj Kumar Kanakasabapathy & Shantanu Kallakuri & Athe Tsibris & Daniel R. Kuritzkes &, 2018. "DNA engineered micromotors powered by metal nanoparticles for motion based cellphone diagnostics," Nature Communications, Nature, vol. 9(1), pages 1-13, December.
    4. Alfredo Quijano-Rubio & Hsien-Wei Yeh & Jooyoung Park & Hansol Lee & Robert A. Langan & Scott E. Boyken & Marc J. Lajoie & Longxing Cao & Cameron M. Chow & Marcos C. Miranda & Jimin Wi & Hyo Jeong Hon, 2021. "De novo design of modular and tunable protein biosensors," Nature, Nature, vol. 591(7850), pages 482-487, March.
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