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Tuning humidity for highly selective detection of methanol and 2-butanone using MOF-derivatives NiO microrods

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Abstract

Industrialization has brought about significant challenges to human well-being, primarily due to the emission of toxic volatile organic compounds (VOCs). Therefore, there is considerable interest and need to detect these VOCs with high selectivity and reproducibility. In this context, developing VOC sensing devices for continuous environmental monitoring and ensuring well-being is crucial. One way to produce inexpensive sensors with reasonable detection limits and selectivity is by using semiconductor metal oxides. Furthermore, they can withstand relative humidity variations in the detection process, which is still a significant challenge. In this study, we present a sensor based on NiO microrods derived from the decomposition of nickel-metal-organic frameworks (Ni-MOF) using microwave-assisted solvothermal (MAS) and thermal decomposition methods. The NiO microrods exhibited highly selective in detecting methanol (Response = 143 ± 27%) under dry atmospheric conditions and 2-butanone (Response = 119 ± 16%) under wet atmospheric conditions (43% RH) at a working temperature of 150 °C. In addition, the NiO sensor presented a relatively fast response time for detecting methanol (78 s) and 2-butanone (36 s) under optimal working conditions. Therefore, selectively modulating the relative humidity during the sensor analysis process, the NiO microrods act as a dual-mode sensor for methanol and 2-butanone.

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Acknowledgements

We acknowledge the São Paulo Research Foundation (FAPESP) (grants numbers 2019/11058-6, 2020/06421-1, 2018/01258-5, and 2020/05233-7), Coordination for the Improvement of Higher Education Personnel – CAPES (Finance Code 001) and the National Council for Scientific and Technological Development (CNPq) (grant number 311453/2021-0) for the financial support. We extend our appreciation to the LSQA/IBILCE/UNESP for providing the XRD analyses, EMBRAPA for the FESEM and TG facilities, and LNNano/CNPEM for the TEM analysis (proposal 20210578). Additionally, we are grateful to Felipe de Souza Custódio, Thiago José de Almeida Mori, and Tulio Costa Rizuti da Rocha for their valuable support during XPS and XAS analyses at IPE beamline on Sirius, located at LNLS (proposal 20221938).

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Authors and Affiliations

  1. Laboratory of Materials for Sustainability (LabMatSus), São Paulo State University (UNESP), Rua Cristóvão Colombo 2265, São José do Rio Preto, 15054-000, Brazil

    Reinaldo S. Theodoro, Bruna S. Sá, Olavo M. Perrone & Diogo P. Volanti

  2. Brazilian Agricultural Research Corporation (EMBRAPA), São Carlos, SP, 13560-970, Brazil

    Bruna S. Sá

  3. Brazilian Center for Research in Energy and Materials (CNPEM), Campinas, SP, 13083-970, Brazil

    Tarcísio M. Perfecto

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  1. Reinaldo S. Theodoro
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  2. Bruna S. Sá
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  4. Tarcísio M. Perfecto
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Contributions

RST methodology, data curation, formal analysis, investigation, writing—original draft. BSS methodology, formal analysis, investigation. OM P methodology, formal analysis, investigation. TMP methodology, formal analysis, investigation. DPV conceptualization, funding acquisition, supervision, and writing—review and editing.

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Correspondence to Diogo P. Volanti.

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Theodoro, R.S., Sá, B.S., Perrone, O.M. et al. Tuning humidity for highly selective detection of methanol and 2-butanone using MOF-derivatives NiO microrods. J Mater Sci: Mater Electron 34, 2232 (2023). https://doi.org/10.1007/s10854-023-11665-3

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