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Machine learning-guided design of cellulose-based hydrogels for predictive swelling and impact resistance
Onome Ejeromedoghene1, Ephraim Akor2, Huaguang Wang1
1State and Local Joint Engineering Laboratory for Novel Functional Polymeric Materials, College of Chemistry, Chemical Engineering and Materials Science, Soochow University, 215123 Suzhou, Jiangsu Province, PR China.
Journal of Colloid and Interface Science
|March 31, 2026
Summary
New hydrogel composites using carboxymethyl cellulose and gold nanoparticles show tunable mechanical properties and predictable swelling behavior, offering robust impact resistance for protective applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Nanotechnology
Background:
- Hydrogel composites offer tunable properties for advanced material applications.
- Developing impact-resistant materials with controlled swelling is crucial for protective layers.
- Gold nanoparticles can impart unique characteristics to polymer matrices.
Purpose of the Study:
- To fabricate robust hydrogel composites with tunable mechanical and swelling properties.
- To investigate the influence of cellulose content on material performance.
- To develop a predictive model for hydrogel swelling behavior using machine learning.
Main Methods:
- One-step chemical gelation using carboxymethyl cellulose (CEL), acrylamide (AAm), and gold nanoparticles (Au).
- Mechanical testing including tensile and compressive strength, dynamic mechanical analysis.
- Swelling studies under varying temperature and pH conditions, analyzed using Higuchi and Korsmeyer-Peppas models.
- Machine learning workflow (random forest) for predicting swelling ratio.
Main Results:
- Increasing cellulose content enhanced tensile strength (3.68 to 10.79 MPa), compressive strength, and resilience (100%).
- Swelling behavior was stimulus-responsive, decreasing with temperature and increasing with pH.
- Machine learning models accurately predicted swelling ratio (R² = 0.842).
- The CEL4 composite demonstrated effective impact protection for glass.
Conclusions:
- Cellulose-tuned p(CEL/AAm)/Au hydrogel composites exhibit robust impact resistance and predictable swelling.
- These materials show promise as protective layers.
- Further studies are needed to isolate gold nanoparticle-specific contributions.
