Ultrathin Photonic Crystal Based on Photo-Crosslinked Polymer and Metal-Organic Framework for Highly Sensitive Detection and Discrimination of Benzene Series Vapors

33 Pages Posted: 3 Mar 2024

See all articles by Lei Gao

Lei Gao

Dalian University of Technology

Donghui Kou

Dalian University of Technology

Ruicheng Lin

Dalian University of Technology

Wei Ma

Dalian University of Technology

Shufen Zhang

Dalian University of Technology

Abstract

Volatile organic compounds (VOCs) have always been a major concern as a global environmental problem. As a low-cost, high-efficiency and visual sensor, photonic crystals (PCs) have been actively studied in VOCs detection. Herein, a one-dimensional PC sensor for visual sensing of highly toxic benzene series VOC vapors is prepared for the first time by integrating a new photo-crosslinked polymer-poly(styrene-benzoylphenyl acrylate) P(St-BPA) and a high specific surface area metal-organic framework (MOF) MIL-101(Cr). The PC can detect VOCs quantitatively and visually, and clearly distinguish 7 benzene series vapors. The detection limit of the benzene series VOCs is as low as 0.06–3.45 g/m3. Meanwhile, owing to the ultra-thin layer and porous structure, the PC can reach a response equilibrium to the VOCs within 1–2.6 s. Moreover, the PC has a good organic vapor tolerance and can maintain stable optical performance after 1000 times of reuse in VOCs. Besides, 4 other PCs assembled with different aryl polymers and MOFs are first fabricated and their sensing performance to benzene series VOCs are studied and compared, which provides a valuable reference for the selection of materials for the preparation of such PC sensors.

Keywords: photonic crystals, photo-crosslinked polymers, metal-organic frameworks, volatile organic compounds, structural color, visual detection

Suggested Citation

Gao, Lei and Kou, Donghui and Lin, Ruicheng and Ma, Wei and Zhang, Shufen, Ultrathin Photonic Crystal Based on Photo-Crosslinked Polymer and Metal-Organic Framework for Highly Sensitive Detection and Discrimination of Benzene Series Vapors. Available at SSRN: https://ssrn.com/abstract=4746264 or http://dx.doi.org/10.2139/ssrn.4746264

Lei Gao

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

Donghui Kou

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

Ruicheng Lin

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

Wei Ma (Contact Author)

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

Shufen Zhang

Dalian University of Technology ( email )

Huiying Rd
DaLian, LiaoNing, 116024
China

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
16
Abstract Views
127
PlumX Metrics