Gas-responsive two-dimensional metal-organic framework composites for trace visualization of volatile organic compounds

Highly sensitive and specific identification of complex volatile organic compound mixtures has always been a huge challenge in the field of gas detection. To address this issue, the gas-responsive two-dimensional metal-organic framework (MOF) composites have been designed for fabricating a colorimetric sensor arrays for extremely sensitive detection of volatile organic compounds (VOCs). The physically exfoliated MOF nanosheets Zn-2(bim)(4) with large surface area and abundant unsaturated active sites were used for loading various dyes to form dye/Zn-2(bim)(4) composites. Due to the protective effect on dye activity and preconcentration for VOCs, the dye/Zn-2(bim)(4) composites-based colorimetric sensor arrays showed significantly enhanced sensitivity compared with the corresponding dyes for the detection of various VOCs. The mechanical flexibility of the dye/MOF nanosheets endowed the excellent film-forming properties on various substrates for fabricating the colorimetric sensor arrays. Besides owing to the hydrophobic property and the protection of the Zn-2(bim)(4) nanosheets, the dye/Zn-2(bim)(4) sensor arrays exhibited excellent anti-interference including humidity and temperature influence. On the basis of the fantastic properties of dye/Zn-2(bim)(4) composites for VOCs detection, the dye/Zn-2(bim)(4) sensor arrays were applied for the early perception of the plant disease late blight via ultra-sensitive and highly specific sensing the VOCs released from the infected plants.

Automated summary

This study developed a colorimetric sensor array using gas-responsive two-dimensional metal-organic framework (MOF) composites for highly sensitive detection of volatile organic compounds (VOCs). The dye/Zn-2(bim)(4) composites-based sensor arrays showed enhanced sensitivity and anti-interference properties. The findings demonstrate the potential use of dye/Zn-2(bim)(4) sensor arrays for early perception of plant diseases.