# Fabrication and analysis of a PVP-carboxymethyl chitosan/forsterite nanocomposite scaffold with stainless steel base via freeze-drying and neural network techniques

**Authors:** Negin Ghanbari, Bahareh Kamyab Moghadas, Fereshteh Samadi, Amirsalar Khandan

PMC · DOI: 10.22038/ijbms.2025.89859.19382 · Iranian Journal of Basic Medical Sciences · 2026-01-01

## TL;DR

This paper presents a new scaffold design for bone repair using a combination of stainless steel, PVP-CMC-forsterite, and neural networks to improve tissue regeneration.

## Contribution

The novelty lies in combining a PVP-CMC-forsterite nanocomposite with stainless steel scaffolds and using neural networks to predict performance.

## Key findings

- Scaffolds with 15% forsterite showed the best mechanical and biological performance.
- Freeze-drying and 3D printing techniques enhanced scaffold porosity and structure.
- ANN accurately predicted scaffold properties, aiding in design optimization.

## Abstract

This study aims to design and fabricate innovative polymer-ceramic-metal scaffolds for bone tissue engineering, utilizing 3D printing and freeze-drying techniques to enhance bone repair.

Stainless steel scaffolds were produced via selective laser melting (SLM) and coated with varying weight percentages (0, 5, 10, 15) of polyvinylpyrrolidone (PVP), carboxymethyl chitosan (CMC), and forsterite using freeze-drying. The scaffolds were characterized through Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and scanning electron microscopy (SEM) to assess functional groups, phase purity, porosity, and pore size. Biological assessments included bioactivity, ion emission tests (ICP-AES), and wettability evaluations. Artificial neural networks (ANN) were employed to predict mechanical and biological properties.

The analysis revealed that scaffolds with 15% forsterite exhibited optimal mechanical and biological performance, enhancing the scaffold’s potential for clinical applications in bone repair.

This study introduces a novel scaffold design that significantly improves bone tissue regeneration processes. The integration of advanced materials and predictive modeling through ANN paves the way for future research in the field of bone tissue engineering.

## Linked entities

- **Chemicals:** polyvinylpyrrolidone (PubChem CID 6917), carboxymethyl chitosan (PubChem CID 71306969)

## Full-text entities

- **Chemicals:** forsterite (MESH:C503823), PVP (MESH:D011205), CMC (MESH:C514968), Stainless steel (MESH:D013193)

## Full text

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## Figures

11 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12867111/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/PMC12867111/full.md

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Source: https://tomesphere.com/paper/PMC12867111