ReviewNanoscale advances2022
Metal-organic frameworks for advanced transducer based gas sensors: review and perspectives.
Review in Nanoscale advances, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- Detection and Capture of Volatile Fluorinated Compounds Using Porous Materials.Nanomaterials (Basel, Switzerland) · 2026Review
- Metal-Organic Framework (MOF)-Derived Materials for Triethylamine Gas Sensing Application for Environmental Monitoring: Recent Advances and Future Perspectives.Sensors (Basel, Switzerland) · 2026Review
- Metal-Organic Frameworks as Room Temperature Chemiresistive Ammonia Gas Sensing Material: A Review.Sensors (Basel, Switzerland) · 2026Review
- Air Pollution Monitoring with Nanoscaled Materials in Chemoresistive Gas Sensors.ACS applied materials & interfaces · 2026Review
- Real-time detection of hazardous volatile organic carbon using a quartz crystal microbalance sensor functionalized with a chitosan hydrogel/UiO-66 composite.Mikrochimica acta · 2026Article
- Recent Advances in Metal-Organic Frameworks for Gas Sensors: Design Strategies and Sensing Applications.Sensors (Basel, Switzerland) · 2026Review
- Cu-Gallate MOF-Chitosan Hybrid Membrane for Low-Power, Non-Invasive Acetone Sensing: Toward Early-Stage Diabetes Detection.ACS omega · 2025Article
- A Series of Rare-Earth Metal-Based Coordination Polymers: Fluorescence and Sensing Studies.Sensors (Basel, Switzerland) · 2024Article
- Gas nanosensors for health and safety applications in mining.Nanoscale advances · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of gas sensing devices to detect environmentally toxic, hazardous, and volatile organic compounds (VOCs) has witnessed a surge of immense interest over the past few decades, motivated mainly by the significant progress in technological advancements in the gas sensing field. A great deal of research has been dedicated to developing robust, cost-effective, and miniaturized gas sensing platforms with high efficiency. Compared to conventional metal-oxide based gas sensing materials, metal-organic frameworks (MOFs) have garnered tremendous attention in a variety of fields, including the gas sensing field, due to their fascinating features such as high adsorption sites for gas molecules, high porosity, tunable morphologies, structural diversities, and ability of room temperature (RT) sensing. This review summarizes the current advancement in various pristine MOF materials and their composites for different electrical transducer-based gas sensing applications. The review begins with a discussion on the overview of gas sensors, the significance of MOFs, and their scope in the gas sensing field. Next, gas sensing applications are divided into four categories based on different advanced transducers: chemiresistive, capacitive, quartz crystal microbalance (QCM), and organic field-effect transistor (OFET) based gas sensors. Their fundamental concepts, gas sensing ability towards various gases, sensing mechanisms, and their advantages and disadvantages are discussed. Finally, this review is concluded with a summary, existing challenges, and future perspectives.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.