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

Type

Postprint

Version

http://purl.org/coar/version/c_ab4af688f83e57aa

Access type

restricted

License Condition

Copyright

Size

1.35 MB

Format

Adobe PDF

Checksum (MD5)

08ac534e2a7008815ee8a5852583970a

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