3D-printed electrodes for sensing of biologically active molecules
3D printing (additive manufacturing) is currently an emerging technology that could revolutionize the traditional manufacturing process. The application of 3D printing technology has been examined in many different fields including manufacturing, science, medicine, and electronics. Another applicati...
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sg-ntu-dr.10356-1026852023-02-28T19:43:03Z 3D-printed electrodes for sensing of biologically active molecules Liyarita, Bella Rosa Ambrosi, Adriano Pumera, Martin School of Physical and Mathematical Sciences DRNTU::Science::Chemistry Additive Manufacturing Electrochemistry 3D printing (additive manufacturing) is currently an emerging technology that could revolutionize the traditional manufacturing process. The application of 3D printing technology has been examined in many different fields including manufacturing, science, medicine, and electronics. Another application of 3D printing technology which holds promising potential is fabrication of electrochemical sensors and transducers. Electroanalytical devices hold advantages such as low cost, portability, ease of use, and rapid analysis. Here we examined the feasibility of utilizing 3D-printed metal electrodes for the electrochemical detection of the pain reliever acetaminophen (AC) also known as paracetamol and the neurotransmitter dopamine (DA) in aqueous solutions. 3D-printed stainless steel helical-shaped electrodes were tested before and after surface modification by electro-plating with a thin gold film (3D gold). Accepted version 2019-03-05T05:01:48Z 2019-12-06T20:59:05Z 2019-03-05T05:01:48Z 2019-12-06T20:59:05Z 2018 Journal Article Liyarita, B. R., Ambrosi, A., & Pumera, M. (2018). 3D-printed electrodes for sensing of biologically active molecules. Electroanalysis, 30(7), 1319-1326. doi:10.1002/elan.201700828 1040-0397 https://hdl.handle.net/10356/102685 http://hdl.handle.net/10220/47764 10.1002/elan.201700828 en Electroanalysis © 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim. All rights reserved. This paper was published in Electroanalysis and is made available with permission of Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim. 17 p. application/pdf |
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DRNTU::Science::Chemistry Additive Manufacturing Electrochemistry Liyarita, Bella Rosa Ambrosi, Adriano Pumera, Martin 3D-printed electrodes for sensing of biologically active molecules |
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3D printing (additive manufacturing) is currently an emerging technology that could revolutionize the traditional manufacturing process. The application of 3D printing technology has been examined in many different fields including manufacturing, science, medicine, and electronics. Another application of 3D printing technology which holds promising potential is fabrication of electrochemical sensors and transducers. Electroanalytical devices hold advantages such as low cost, portability, ease of use, and rapid analysis. Here we examined the feasibility of utilizing 3D-printed metal electrodes for the electrochemical detection of the pain reliever acetaminophen (AC) also known as paracetamol and the neurotransmitter dopamine (DA) in aqueous solutions. 3D-printed stainless steel helical-shaped electrodes were tested before and after surface modification by electro-plating with a thin gold film (3D gold). |
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School of Physical and Mathematical Sciences |
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School of Physical and Mathematical Sciences Liyarita, Bella Rosa Ambrosi, Adriano Pumera, Martin |
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Article |
author |
Liyarita, Bella Rosa Ambrosi, Adriano Pumera, Martin |
author_sort |
Liyarita, Bella Rosa |
title |
3D-printed electrodes for sensing of biologically active molecules |
title_short |
3D-printed electrodes for sensing of biologically active molecules |
title_full |
3D-printed electrodes for sensing of biologically active molecules |
title_fullStr |
3D-printed electrodes for sensing of biologically active molecules |
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3D-printed electrodes for sensing of biologically active molecules |
title_sort |
3d-printed electrodes for sensing of biologically active molecules |
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2019 |
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https://hdl.handle.net/10356/102685 http://hdl.handle.net/10220/47764 |
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1759853819648278528 |