Detail publikace

Molecularly Imprinted Polymer-Based Electronic Nose for Ultrasensitive, Selective Detection, and Concentration Estimation of VOC Mixtures

HASAN, M. ŠKRABÁNEK, P. CHEFFENA, M.

Originální název

Molecularly Imprinted Polymer-Based Electronic Nose for Ultrasensitive, Selective Detection, and Concentration Estimation of VOC Mixtures

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

This research introduces a groundbreaking electronic nose (E-Nose) that integrates advanced sensing materials with machine learning (ML). The sensing materials include molecularly imprinted polymers (MIPs) and multiwalled carbon nanotubes (MWCNTs), designed for enhanced performance. An optimized extreme learning machine (ELM) model enables highly selective detection and precise quantification of both individual and multiple volatile organic compounds (VOCs) within complex mixtures. Specifically, with transducers functionalized for specificity toward methanol, ethanol, butanol, and isopropanol, the proposed E-Nose achieved near-perfect estimation with an error of just 0.25% for individual VOCs and negligible error (0.75%-1.5%) for mixtures of two to four VOCs. The developed E-Nose demonstrated linear estimation of target VOC concentrations with high sensitivity and selectivity. Detection limits (DL) for all gases remained below safety thresholds, ensuring suitability for practical VOC sensing at room temperature (RT). Furthermore, the proposed E-Nose platform is adaptable and customizable for detecting and estimating the tested VOCs as well as other VOCs and gases, offering significant potential to revolutionize air quality monitoring.

Klíčová slova

Sensors; Sensitivity; Estimation; Accuracy; Training; Intelligent sensors; Chemical sensors; Transducers; Sensor arrays; Plastics; Air-quality monitoring; butanol; carbon nanotube; electronic nose (E-Nose); ethanol; extreme learning machine (ELM); isopropanol; machine learning (ML); methanol; molecularly imprinted polymer (MIP); volatile organic compound (VOC) sensor

Autoři

HASAN, M.; ŠKRABÁNEK, P.; CHEFFENA, M.

Vydáno

7. 4. 2025

Nakladatel

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

Místo

PISCATAWAY

ISSN

1558-1748

Periodikum

IEEE SENSORS JOURNAL

Ročník

25

Číslo

10

Stát

Spojené státy americké

Strany od

18277

Strany do

18290

Strany počet

14

URL

https://ieeexplore.ieee.org/document/10955118

BibTex

@article{BUT198037,
  author="Mohammad Mahmudul {Hasan} and Pavel {Škrabánek} and Michael {Cheffena}",
  title="Molecularly Imprinted Polymer-Based Electronic Nose for Ultrasensitive, Selective Detection, and Concentration Estimation of VOC Mixtures",
  journal="IEEE SENSORS JOURNAL",
  year="2025",
  volume="25",
  number="10",
  pages="18277--18290",
  doi="10.1109/JSEN.2025.3556500",
  issn="1558-1748",
  url="https://ieeexplore.ieee.org/document/10955118"
}