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Electrochemical multi-sensors obtained by applying an electric discharge treatment to 3D-printed poly(lactic acid)
- Source :
- UPCommons. Portal del coneixement obert de la UPC, Universitat Politècnica de Catalunya (UPC)
- Publication Year :
- 2022
- Publisher :
- Elsevier BV, 2022.
-
Abstract
- Electrochemical sensors for real-time detection of several bioanalytes have been prepared by additive manufacturing, shaping non-conductive poly(lactic acid) (PLA) filaments, and applying a physical treatment to create excited species. The latter process, which consists of the application of power discharge of 100 W during 2 min in a chamber at a low pressure of O2, converts electrochemically inert PLA into an electrochemically responsive material. The electric discharge caused the oxidation of the PLA surface as evidenced by the increment in the quantity of oxygenated species detected by FTIR spectroscopy and X-ray photoelectron spectroscopy (XPS). Indeed, changes in the surface chemical composition became more pronounced with increasing O2 pressure. After demonstrating the performance of the chemically modified material as individual dopamine and glucose sensors, multiplexed detection has been achieved by measuring simultaneously the two voltammetric signals. This has been performed by collecting the signals in two different regions, a naked chemically modified PLA for dopamine detection and a chemically modified PLA region functionalized with Glucose Oxidase. These outcomes led to define a new paradigm for manufacturing electrodes for electrochemical sensors based on 3D printing without using conducting materials at any stage of the process.
- Subjects :
- Multiplexatge
Additive manufacturing
Dopamine
Glucose detection
General Physics and Astronomy
Dopamina
Surfaces and Interfaces
General Chemistry
Condensed Matter Physics
Multiplexing
Surfaces, Coatings and Films
Glucose
Enginyeria química [Àrees temàtiques de la UPC]
Dopamine detection
Multiplexed detection
Glucosa
Plasma treatment
Subjects
Details
- ISSN :
- 01694332
- Volume :
- 597
- Database :
- OpenAIRE
- Journal :
- Applied Surface Science
- Accession number :
- edsair.doi.dedup.....9556c1776ecff23142ff12be7eb1671e
- Full Text :
- https://doi.org/10.1016/j.apsusc.2022.153623