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  4. Printed Polymer Composite Sensors for Low-Power, Near Room-Temperature Detection and Classification of VOCS
 
conference paper

Printed Polymer Composite Sensors for Low-Power, Near Room-Temperature Detection and Classification of VOCS

Mahdi Kiaee, Mohammad
•
Maeder, Thomas  
•
Brugger, Juergen  
March 15, 2021
2021 IEEE 34th International Conference on Micro Electro Mechanical Systems (MEMS)
34th International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2021)

We demonstrate the application of inkjet-printed near room-temperature chemiresistors composed of polymer-carbon black (CB) composites for detecting and classifying volatile organic compounds (VOC). Our results demonstrate that the printed sensors can selectively detect the target analytes at 28°C. The sensor’s selectivity is correlated to their Hansen solubility parameters (HSP), and their response dynamic is adjusted by the polymer glass transition temperature (T g ). Using the principal component analysis (PCA), we demonstrate that the selected polymers can successfully discriminate between chemically diverse analytes. Hence, showing the potential of inkjet-printable polymer composites with representative HSPs as low power and cost-effective VOC sensors. Such sensors can be readily integrated with wearable and flexible electronics.

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Type
conference paper
DOI
10.1109/MEMS51782.2021.9375208
Author(s)
Mahdi Kiaee, Mohammad
Maeder, Thomas  
Brugger, Juergen  
Date Issued

2021-03-15

Publisher

IEEE

Publisher place

Piscataway, NJ

Published in
2021 IEEE 34th International Conference on Micro Electro Mechanical Systems (MEMS)
ISBN of the book

978-1-665419-12-3

Start page

274

End page

277

Subjects

Chemiresistive VOC sensor

•

Polymer nanocomposite

•

Inkjet printing

•

Room temperature

•

Low power

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LMIS1  
Event nameEvent placeEvent date
34th International Conference on Micro Electro Mechanical Systems (IEEE MEMS 2021)

Gainesville, FL, USA (virtual event)

January 25-29, 2021

Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/178081
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