# Sustainable Medical Materials: AI-Driven Assessment for Mechanical Performance of UVC-Treated Date Palm Epoxy Composites

**Authors:** Mohamed A. Aboamer, Abdulrahman Hakami, Meshari Algethami, Ibrahim M. Alarifi, Tarek M. A. A. El-Bagory, Ahmad Alassaf, Bakheet A. Alresheedi, Ahmad K. AlOmari, Abdulaziz Abdullah Almazrua, Nader A. Rahman Mohamed

PMC · DOI: 10.3390/polym17081125 · Polymers · 2025-04-21

## TL;DR

This paper explores how AI and UVC treatment can improve the mechanical properties of sustainable epoxy composites for medical use.

## Contribution

The novel use of AI with UVC-treated date palm composites to enhance mechanical performance for medical materials.

## Key findings

- AI using KNN algorithm identified key mechanical test curves, reducing variability.
- UVC treatment increased tensile stress by 20–30% and compression stress by up to 25%.
- The method promotes sustainable, high-performance materials for medical applications.

## Abstract

This study investigates the AI-assisted analyses of radiation disinfection effects on the mechanical properties of recycled date kernel powder–epoxy composites for medical applications, utilizing Euclidean distances and the k-nearest neighbor (KNN) algorithm. Tensile and compression tests were conducted on twenty specimens following ASTM standards, with the data analyzed using a t-test to evaluate the impact of the UVC disinfection process on the material’s mechanical properties. The application of AI through the KNN algorithm successfully identified the three most representative curves out of five for both tensile and compression tests. This targeted curve selection minimized variability and focused on the most relevant data, enhancing the reliability of the analysis. Following the application of UVC and AI, tensile tests showed a 20–30% increase in ultimate stress. Similarly, compression tests revealed a 25% increase in transition stress, an 18–22% improvement in ultimate stress, and approximately a 12% rise in fracture stress. This research underscores the potential of combining AI, sustainable materials, and UVC technology to develop advanced composites for medical applications. The proposed methodology offers a robust framework for evaluating material performance while promoting the creation of eco-friendly, high-performance materials that meet the stringent standards of medical use.

## Full-text entities

- **Diseases:** fracture (MESH:D050723)
- **Chemicals:** Epoxy (MESH:D004853), UVC (-)

## Full text

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## Figures

23 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12030368/full.md

## References

45 references — full list in the complete paper: https://tomesphere.com/paper/PMC12030368/full.md

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Source: https://tomesphere.com/paper/PMC12030368