紧迫的
葡萄籽提取物
过程(计算)
葡萄籽
食品科学
化学
制浆造纸工业
生物技术
生物
计算机科学
工程类
生物化学
医学
替代医学
病理
操作系统
作者
Libin Sun,Wei Hong,Jingru Wei,Yushuai Xue,Sheng Lan,Xiang Li,Dianyu Yu,Junguo Wang
标识
DOI:10.1016/j.ifset.2022.102941
摘要
The novel method of wet enzymatic extraction and pressing (WEEP) was used to extract grape seed oil. Low-field nuclear magnetic resonance (LF-NMR) was applied to elucidate the water mobility and distribution of grape seeds during the process. The extraction variables were selected in accordance with a Plackett-Burman (PB) design, and the statistical model was constructed using response surface methodology (RSM). The results revealed that water mobility variations of the samples could be discriminated using the signal amplitude and peak position of the T 2 inversion spectrum. The increase in water content was affected by the time and temperature of the process. The water migration of the samples was monitored clearly and intuitively using magnetic resonance imaging (MRI). Three significant factors out of the six variables (enzyme additive amount, hydrolysis temperature, hydrolysis time, comminution degree, screw speed, squeezed water) were determined. The ideal values of the significant factors were confirmed to be 1% of enzyme additive amount, 60 mesh of comminution degree, and 8% of squeezed water. The residual oil proportion to the initial oil content decreased significantly with parameter optimization (33.24% ± 5.98%) compared with that of the unoptimized parameters (57.79% ± 4.13%). • LF-NMR signal amplitude had statistical significant increase during the process. • T 2 parameters changes could be ascribed to time and temperature of this process. • WEEP is an effective and faisable method in the extraction of grape seed oil. • WEEP is optimized by PB design and RSM design.
科研通智能强力驱动
Strongly Powered by AbleSci AI