Modeling and Optimization of α-Amylase Immobilization on Chitosan-Based Supports: A Comparison of Response Surface Methodology and Machine Learning Approaches
Amy@GA-CS retained approximately 50% of its initial activity after ten consecutive reuses, demonstrating strong operational stability. Overall, this study highlights the complementary strengths of the RSM and ML in designing robust immobilized enzymes and provides a solid foundation for the development of reusable biocatalysts.
Authors
- Kübra Akbulut
- Fatih Tarlak (ORCID: https://orcid.org/0000-0001-5351-1865)
- Barış Bi̇nay (ORCID: https://orcid.org/0000-0002-6190-6549)
- Başak Birdal
- Beyza Bahçıvan
Institutions
- Gebze Technical University (TR)
- Kai Biotech (South Korea) (KR)
Publication Details
- Journal
- ACS Omega
- Published
- 2026-04-07
- DOI
- https://doi.org/10.1021/acsomega.6c01339
- Primary Topic
- Enzyme Production and Characterization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Türkiye Bilimsel ve Teknolojik Araştırma Kurumu