Development and Validation of Nanoedw 1.0: An Integrated Computational Tool for Drug Delivery Research and Nanotechnology Applications

Edwar D. Montenegro (), Marcia S. Rizzo, Heurison de Sousa e Silva and Marcília Pinheiro da Costa
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Edwar D. Montenegro: Graduate Program in Materials Science and Engineering, Federal University of Piauí, Teresina 64049-550, Piauí, Brazil
Marcia S. Rizzo: Graduate Program in Pharmaceutical Sciences, Federal University of Piauí, Teresina 64049-550, Piauí, Brazil
Heurison de Sousa e Silva: Department of Physics, Federal University of Piauí, Teresina 64049-550, Piauí, Brazil
Marcília Pinheiro da Costa: Graduate Program in Materials Science and Engineering, Federal University of Piauí, Teresina 64049-550, Piauí, Brazil

J, 2025, vol. 8, issue 4, 1-17

Abstract: Quantitative analyses in drug-delivery research are frequently distributed across multiple tools, which increases manual handling and the risk of transcription errors. NanoEDW 1.0 is an open source Python application that integrates calibration-curve generation, encapsulation-efficiency (EE%) calculation, and release kinetics modeling in a single, streamlined workflow. This study aims to validate the performance of NanoEDW 1.0 by benchmarking it against spreadsheet/OriginLab ® OriginPro 2025 analyses on experimental datasets from polymeric nanocarrier systems commonly used in drug encapsulation. The software performs linear regression to convert absorbance into concentration, computes EE% from raw experimental values, and fits drug-release profiles to classical models (including zero/first-order, Higuchi, Korsmeyer–Peppas, Weibull, and Modified Gompertz) using non-linear least squares with standard goodness-of-fit metrics (R 2 , RMSE). Results show close agreement with reference workflows for calibration parameters and EE%, as well as statistically comparable release-model fits, while reducing manual steps and analysis time. In conclusion, the validation confirms that NanoEDW 1.0 can streamline routine analyses and enhance reproducibility and accessibility in nanopharmaceutical research; source code and example datasets are provided to foster adoption.

Keywords: drug delivery systems; nanotechnology research; computational tool development (search for similar items in EconPapers)
JEL-codes: I1 I10 I12 I13 I14 I18 I19 (search for similar items in EconPapers)
Date: 2025
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