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Metal-Organic Framework-Based Sensors for Environmental Contaminant Sensing.
Fang, Xian; Zong, Boyang; Mao, Shun.
Afiliação
  • Fang X; Biomedical Multidisciplinary Innovation Research Institute, Shanghai East Hospital, State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, People's Republic of China.
  • Zong B; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, People's Republic of China.
  • Mao S; Biomedical Multidisciplinary Innovation Research Institute, Shanghai East Hospital, State Key Laboratory of Pollution Control and Resource Reuse, College of Environmental Science and Engineering, Tongji University, 1239 Siping Road, Shanghai, 200092, People's Republic of China.
Nanomicro Lett ; 10(4): 64, 2018.
Article em En | MEDLINE | ID: mdl-30393712
ABSTRACT
Increasing demand for timely and accurate environmental pollution monitoring and control requires new sensing techniques with outstanding performance, i.e., high sensitivity, high selectivity, and reliability. Metal-organic frameworks (MOFs), also known as porous coordination polymers, are a fascinating class of highly ordered crystalline coordination polymers formed by the coordination of metal ions/clusters and organic bridging linkers/ligands. Owing to their unique structures and properties, i.e., high surface area, tailorable pore size, high density of active sites, and high catalytic activity, various MOF-based sensing platforms have been reported for environmental contaminant detection including anions, heavy metal ions, organic compounds, and gases. In this review, recent progress in MOF-based environmental sensors is introduced with a focus on optical, electrochemical, and field-effect transistor sensors. The sensors have shown unique and promising performance in water and gas contaminant sensing. Moreover, by incorporation with other functional materials, MOF-based composites can greatly improve the sensor performance. The current limitations and future directions of MOF-based sensors are also discussed.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Nanomicro Lett Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: Nanomicro Lett Ano de publicação: 2018 Tipo de documento: Article