logy, Hyderabad 500007, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India. Electronic address: sumana@iict.res.in.
PMID: 39222857
DOI: 10.1016/j.biortech.2024.131405
Abstract
This paper presents an inverse design methodology that utilizes artificial intelligence (AI)-driven experiments to optimize the chemoenzymatic epoxidation of soyabean oil using hydrogen peroxide and lipase (Novozym 435). First, experiments are conducted using a systematic 3-level, 5-factor Box-Behnken design to explore the effect of input parameters on oxirane oxygen content (OOC (%)).
原文链接：https://ngdc.cncb.ac.cn/openlb/publication/OLB-PM-39222857