Response Surface Methodology and Artificial
Neural Network Optimization and Modeling
of the Saccharification and Fermentation Conditions
of the Polyhydroxybutyrate from Corn Stover
Chester Jules A. Tantoco1, Princess J. Requiso2, Catalino G. Alfafara1,
Jewel A. Capunitan1, Fidel Rey P. Nayve Jr.3, and Jey-R S. Ventura4*
1Department of Chemical Engineering, College of Engineering and Agro-Industrial Technology,
University of the Philippines Los Baños, College, Los Baños, Laguna 4031 Philippines
2UP College of Medicine, University of the Philippines Manila,
Taft Avenue, Ermita, Manila 1000 Philippines
3National Institute of Molecular Biology and Biotechnology,
University of the Philippines Los Baños, College, Los Baños, Laguna 4031 Philippines
4Biomaterials and Environmental Engineering Laboratory,
Department of Engineering Science, College of Engineering and Agro-Industrial Technology,
University of the Philippines Los Baños, College, Los Baños, Laguna 4031 Philippines
*Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
[Download]
Tantoco CJ et al. 2023. Response Surface Methodology and Artificial Neural Network Optimization and Modeling of the
Saccharification and Fermentation Conditions of the Polyhydroxybutyrate from Corn Stover. Philipp J Sci 152(1): 357–374.
https://doi.org/10.56899/152.01.28
