ArticleACS sensors2025
Microwave MIMO E-Nose for Wireless Communication and Selective Detection of VOC Mixtures with Concentration Estimation.
Article in ACS sensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Drift-tolerant artificial olfaction via spatiotemporal encoding of gas diffusion for VOC discrimination.STAR protocols · 2026Article
- High-Sensitivity Non-Invasive Microwave Glucose Sensor with ZnO/CNT Composite Optimized by Deep Learning for Wearable Medical Devices.ACS omega · 2026Article
- Engineering Function-Reversal Sacrificial Sites for Selective Volatile Aromatic Hydrocarbons Detection in Complex Environments.Advanced materials (Deerfield Beach, Fla.) · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present the first dual-functional microwave electronic nose (E-nose) that enables wireless communication, VOC mixture detection, and reliable concentration estimation, designed for seamless integration with wireless sensor networks. The proposed E-nose features multiple-input multiple-output (MIMO) antenna system functionalized with molecularly imprinted polymer (MIP) and multiwalled carbon nanotube-based sensing materials for the selective detection of individual or mixed volatile organic compounds (VOCs). We addressed several novel challenges such as managing cross-reactivity under electromagnetic interference with wideband decoupling, employing a dual-branch neural network (NN) with feature prioritization and transducer behavior insights, and optimizing sensor placement for spatial isolation in a compact design. The developed E-nose demonstrated high sensitivity and selectivity for VOC mixtures at room temperature, with detection limits below safety thresholds, ensuring practical applicability. The optimized NN model achieved high predictive accuracy (
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