ArticleSensors (Basel, Switzerland)2020
Quartz Crystal Microbalance Based Sensor Arrays for Detection and Discrimination of VOCs Using Phosphonium Ionic Liquid Composites.
Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Localized Surface Plasmon Resonance-Based Gas Sensor with a Metal-Organic-Framework-Modified Gold Nano-Urchin Substrate for Volatile Organic Compounds Visualization.Sensors (Basel, Switzerland) · 2025Article
- A Comprehensive Review of Biomarker Sensors for a Breathalyzer Platform.Sensors (Basel, Switzerland) · 2024Review
- ZIF-8-Based Surface Plasmon Resonance and Fabry-Pérot Sensors for Volatile Organic Compounds.Sensors (Basel, Switzerland) · 2024Article
- Metal-Phenolic Film Coated Quartz Crystal Microbalance as a Selective Sensor for Methanol Detection in Alcoholic Beverages.Micromachines · 2023Article
- On-Site Detection of Volatile Organic Compounds (VOCs).Molecules (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Herein, we examine two sensing schemes for detection and discrimination of chlorinated volatile organic compounds (VOCs). In this work, phosphonium ionic liquids (ILs) were synthesized and vapor sensing properties examined and compared to phosphonium IL-polymer composites. Pure IL sensors were used to develop a QCM-based multisensory array (MSA), while IL-polymer composites were used to develop an MSA and virtual sensor arrays (VSAs). It was found that by employing the composite MSA, five chlorinated VOCs were accurately discriminated at 95.56%, which was an increase in accuracy as compared to pure ILs MSA (84.45%). Data acquired with two out of three VSAs allowed discrimination of chlorinated VOCs with 100% accuracy. These studies have provided greater insight into the benefits of incorporating polymers in coating materials for enhanced discrimination accuracies of QCM-based sensor arrays. To the best of our knowledge, this is the first report of a QCM-based VSA for discrimination of closely related chlorinated VOCs.
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