Dataset for: Electrochemical sensing of reserpine enabled by interactions with polylactic acid on ready-to-use 3D-printed electrodes

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Authors: Anastasios V. Papavasileiou, Karuppasamy Muthumalai, Amutha Subramania, Zdeněk Sofer
Cited by: 0

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