Dataset for: Electrochemical sensing of reserpine enabled by interactions with polylactic acid on ready-to-use 3D-printed electrodes
Abstract
This dataset contains raw and processed experimental and computational data supporting the electrochemical sensing of the antihypertensive drug reserpine using ready-to-use carbon black–polylactic acid (CB/PLA) 3D-printed electrodes. The dataset includes cyclic voltammetry and differential pulse voltammetry measurements, calibration and scan-rate analyses, conditioning-time optimization, reproducibility and selectivity studies, recovery in artificial blood samples, and density-functional-theory-based charge density difference calculations for reserpine interactions with CB, PLA, and CB/PLA systems.
Fields of Study & Subjects
Electrochemical sensors and biosensors
Electrochemical Analysis and Applications
Conducting polymers and applications
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 2 February 2026
- Language
- EN
- Document type
- Dataset