journal article·2026-07Open access

Pyrene Derivative‐Based Electrode for Electrochemical Sensing

Ana R. Santos, Fátima Bento, Bruno Faria, Maria C. Paiva, Alexandre F. Silva, Ana S. Viana, Júlio C. Viana

Small Methods· Volume 10· Issue 13

Abstract

ABSTRACT In this work, screen‐printed carbon electrodes were modified with a pyrene derivative (PY) to enhance their electrochemical sensing performance. Their applicability was demonstrated in cortisol detection, used here as a model biomarker. This derivative consists of a pyrene functionalized with a pendant group containing a carboxyl function bonded to an aromatic moiety through an amide linkage. The electrode's performance in relation to cortisol was assessed using differential pulse voltammetry (DPV). The results demonstrate the potential of this PY‐based electrode as a simple electrochemical sensing platform without the need for biological recognition elements or molecular probes. Molecular dynamics (MD) simulations provided molecular‐level insights into the interactions between the pyrene derivative and cortisol. Overall, the study highlights the potential applicability of this pyrene derivative in the development of low‐cost electrochemical sensing platforms and simplified detection protocols.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Electrochemical sensors and biosensors · Conducting polymers and applications · Electrochemical Analysis and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

IPC – Institute for Polymers and Composites, Campus De Azurém University of Minho Guimarães Portugal

Campus De Gualtar CQ‐UM – Chemistry Research Centre of the University of Minho Braga Portugal

CMEMS – Center for Microelectromechanical Systems, Campus De Azurém University of Minho Guimarães Portugal

Centro de Química Estrutural, Faculdade de Ciências Universidade De Lisboa, Campo Grande Lisbon Portugal

References (42)

Show source-provided references
1. 10.1063/5.011664810.1063/5.0116648 ↗
2. 10.1002/advs.20241143310.1002/advs.202411433 ↗
3. 10.3389/fchem.2021.58714210.3389/fchem.2021.587142 ↗
4. 10.1016/j.bios.2017.05.05610.1016/j.bios.2017.05.056 ↗
5. 10.1016/j.bios.2021.11349710.1016/j.bios.2021.113497 ↗
6. 10.1016/j.bios.2016.10.09410.1016/j.bios.2016.10.094 ↗
7. 10.1016/j.bios.2020.11251210.1016/j.bios.2020.112512 ↗
8. 10.1038/s41598‐018‐37243‐w10.1038/s41598‐018‐37243‐w ↗
9. 10.3390/chemosensors1210020310.3390/chemosensors12100203 ↗
10. 10.1016/j.ijoes.2025.10109510.1016/j.ijoes.2025.101095 ↗
11. 10.1038/s41565‐023‐01513‐010.1038/s41565‐023‐01513‐0 ↗
12. 10.1007/s13204‐021‐02086‐x10.1007/s13204‐021‐02086‐x ↗
13. 10.1016/j.bios.2015.11.04410.1016/j.bios.2015.11.044 ↗
14. 10.1016/j.snb.2018.01.21510.1016/j.snb.2018.01.215 ↗
15. 10.2144/btn‐2020‐009110.2144/btn‐2020‐0091 ↗
16. 10.1016/j.bios.2023.11560010.1016/j.bios.2023.115600 ↗
17. 10.1016/j.msec.2019.01.00110.1016/j.msec.2019.01.001 ↗
18. 10.1016/j.bios.2018.07.03210.1016/j.bios.2018.07.032 ↗
19. 10.3390/electrochem203002810.3390/electrochem2030028 ↗
20. 10.1021/acsami.2c2198010.1021/acsami.2c21980 ↗
21. 10.1016/j.snb.2018.07.13310.1016/j.snb.2018.07.133 ↗
22. 10.1007/s00604‐020‐04510‐510.1007/s00604‐020‐04510‐5 ↗
23. 10.1007/s00604‐019‐3783‐010.1007/s00604‐019‐3783‐0 ↗
24. 10.1021/acssensors.4c0002710.1021/acssensors.4c00027 ↗
25. 10.1016/j.bios.2021.11330410.1016/j.bios.2021.113304 ↗
26. 10.1002/celc.20190070410.1002/celc.201900704 ↗
27. 10.1021/acs.analchem.3c0567210.1021/acs.analchem.3c05672 ↗
28. 10.3390/nano809067510.3390/nano8090675 ↗
29. 10.1016/j.ceja.2025.10073110.1016/j.ceja.2025.100731 ↗
30. 10.1002/bit.2761810.1002/bit.27618 ↗
31. F.Shahbazi M. N.Esfahani M.Jabbari andA.Keshmiri “A Molecular Dynamics Model for Biomedical Sensor Evaluation: Nanoscale Numerical Simulation of an Aluminum‐Based Biosensor ” inProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS(Institute of Electrical and Electronics Engineers Inc. 2022) 613–616 https://doi.org/10.1109/EMBC48229.2022.9871498.10.1109/EMBC48229.2022.9871498 ↗
32. 10.3390/ijms2303148410.3390/ijms23031484 ↗
33. 10.1021/acsomega.1c0340410.1021/acsomega.1c03404 ↗
34. 10.1021/acsabm.1c0077410.1021/acsabm.1c00774 ↗
35. 10.1016/j.cpc.2021.10817110.1016/j.cpc.2021.108171 ↗
36. 10.1021/acsomega.8b0313210.1021/acsomega.8b03132 ↗
37. 10.1007/s00249‐011‐0700‐910.1007/s00249‐011‐0700‐9 ↗
38. 10.1016/0263-7855(96)00018-510.1016/0263-7855(96)00018-5 ↗
39. 10.3390/gels602001610.3390/gels6020016 ↗
40. 10.1039/c4cs00119b10.1039/c4cs00119b ↗
41. 10.3390/cryst1302034210.3390/cryst13020342 ↗
42. 10.1039/c3sm51204e10.1039/c3sm51204e ↗