preprints_ui: mgujh_v1
Data license: ODbL (database) & original licenses (content) · Data source: Open Science Framework
| id | title | description | date_created | date_modified | date_published | original_publication_date | publication_doi | provider | is_published | reviews_state | version | is_latest_version | preprint_doi | license | tags_list | tags_data | contributors_list | contributors_data | first_author | subjects_list | subjects_data | download_url | has_coi | conflict_of_interest_statement | has_data_links | has_prereg_links | prereg_links | prereg_link_info | last_updated |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| mgujh_v1 | A User-Friendly Jupyter Notebook for Simplified Differential Pulse Voltammetry Analysis of Dihydroxy Phenols | Differential pulse voltammetry (DPV) is a well-established electrochemical technique widely employed for quantitatively determining diverse analytes, particularly within complex matrices. However, the analysis of DPV data, especially in scenarios involving the simultaneous detection of multiple species, can be a complex and time-intensive undertaking. This article introduces a Jupyter Notebook developed to facilitate the efficient and streamlined analysis of DPV data acquired from the simultaneous detection of dihydroxy phenols. The notebook offers a user-friendly interface encompassing data import, pre-processing, peak identification, quantification, and visualization functionalities. By automating several key analysis steps, this tool reduces manual effort while simultaneously enhancing the accuracy and reproducibility of the process. Consequently, it offers particular value to researchers engaged in environmental monitoring, food analysis, and related disciplines where the detection of dihydroxy phenols is of critical importance. The complete source code for this tool is freely available and accessible via the following repository: https://github.com/anatarajank/Electrochemical-Sensor-Data-Analyzer | 2025-02-05T17:49:27.292137 | 2025-02-05T18:20:00.214547 | 2025-02-05T18:19:22.221525 | ecsarxiv | 1 | accepted | 1 | 1 | https://doi.org/10.1149/osf.io/mgujh_v1 | CC-By Attribution 4.0 International | [] | Aravindan Natarajan; Preethi Sankaranarayanan | [{"id": "25enh", "name": "Aravindan Natarajan", "index": 0, "orcid": "0000-0002-2190-9825", "bibliographic": true}, {"id": "m8cbv", "name": "Preethi Sankaranarayanan", "index": 1, "orcid": null, "bibliographic": true}] | Aravindan Natarajan | Physical Sciences and Mathematics; Chemistry; Computer Sciences; Numerical Analysis and Scientific Computing; Electroanalytical; Software Engineering; Analytical Chemistry; Electrochemistry | [{"id": "5ae728ae4667e6000f98dd9d", "text": "Physical Sciences and Mathematics"}, {"id": "5ae728b24667e6000f98ddde", "text": "Chemistry"}, {"id": "5ae728b44667e6000f98de41", "text": "Computer Sciences"}, {"id": "5ae728b54667e6000f98de49", "text": "Numerical Analysis and Scientific Computing"}, {"id": "5ae728b54667e6000f98de52", "text": "Electroanalytical"}, {"id": "5ae728b74667e6000f98de88", "text": "Software Engineering"}, {"id": "5ae728b74667e6000f98de90", "text": "Analytical Chemistry"}, {"id": "5ae728b74667e6000f98de91", "text": "Electrochemistry"}] | https://osf.io/download/67a3a50dc671ff1901cc917d | 0 | available | not_applicable | [] | 2025-04-09T21:06:16.299171 |