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.

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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

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article

Modeling and Optimization of α-Amylase Immobilization on Chitosan-Based Supports: A Comparison of Response Surface Methodology and Machine Learning Approaches

Kübra Akbulut, Fatih Tarlak, Barış Bi̇nay, Başak Birdal et al.
ACS Omega
Enzyme Production and Characterization
article

Modeling and Optimization of α-Amylase Immobilization on Chitosan-Based Supports: A Comparison of Response Surface Methodology and Machine Learning Approaches

Kübra Akbulut, Fatih Tarlak, Barış Bi̇nay, Başak Birdal, Beyza Bahçıvan
article en

Abstract

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.

ACS OmegaVol. 11(17)
Gebze Technical University (TR), Kai Biotech (South Korea) (KR)
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Openalex Percentile: Top 31%
Enzyme Production and Characterization
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