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  4. Dataset for 'Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors'
 
dataset

Dataset for 'Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors'

Briand, Danick  
•
Demuru, Silvia  
•
Pinto Almeida, Claudio  
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2023
Zenodo

This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the publication entitled “Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors”. This work aims to study the fabrication of organic electrochemical transistors using more environmentally-friendly materials, in particular carbon contacts and polylactic acid (PLA) as substrate. Organic electrochemical transistors (or OECTs) offer applications in biosensing, for example for point-of-care devices. We use a combination of additive manufacturing methods (screen printing and inkjet printing) to manufacture these transistors and solve the issues with fabricating them on a low-temperature substrate such as PLA. We also assess these transistors as disposable sensors for the detection of various ion concentrations as well as glucose. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.

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Type
dataset
DOI
10.5281/zenodo.8232761
ACOUA ID

ee157129-9fd7-418a-b13f-d161b505d455

Author(s)
Briand, Danick  
Demuru, Silvia  
Pinto Almeida, Claudio  
Fumeaux, Nicolas Francis  
Date Issued

2023

Version

1

Publisher

Zenodo

Subjects

additive manufacturing

•

inkjet printing

•

polylactic acid

•

organic electrochemical transistors

•

biochemical sensing

FunderGrant NO

Swiss federal funding

200021_179064

RelationURL/DOI

IsSupplementTo

https://infoscience.epfl.ch/record/303988

IsNewVersionOf

https://doi.org/10.5281/zenodo.8232760
Available on Infoscience
August 10, 2023
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/199675
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