DocumentCode :
3307916
Title :
Optimization of Protein Extraction from DDGS Using Response Surface Methodology and the Properties of the Protein
Author :
Yuan Dong ; Quan Li ; Nana Gao ; Xin Chen ; Yingkun Cheng ; Jiahui Lu ; Feng Lin ; Qingfan Meng ; Lirong Teng
Author_Institution :
Coll. of Life Sci., Jilin Univ., Changchun, China
fYear :
2012
fDate :
12-14 Jan. 2012
Firstpage :
242
Lastpage :
245
Abstract :
DDGS is the major co product generated from the fermentation of grain, but it is high in protein and an inexpensive source of protein. To optimize the extracting process of protein from DDGS, Response surface methodology (RSM) has been developed using the three influential process variables: alkali concentration, extraction time and solid-liquid ratio. The properties of the protein were further investigated by SDS-PAGE and FTIR spectroscopy. From the RSM-generated model, the optimum conditions of protein extraction were identified as alkali concentration 0.626 mol/L, extraction time 2.3 h and solid-liquid ratio 1:37(g:mL). The predicted protein extracted from DDGS with the optimum extraction conditions was 0.3691 g/2 g DDGS, the validation experiments with this optimum solution were implemented in triplicate and the average dry weight was 0.3825. The relative error between expected value and experimental value was 3.50%.
Keywords :
Fourier transform spectra; infrared spectra; molecular biophysics; optimisation; proteins; response surface methodology; DDGS; FTIR spectroscopy; RSM; SDS-PAGE; alkali concentration; extraction time; grain fermentation; protein extraction optimization; relative error; response surface methodology; solid-liquid ratio; time 2.3 h; Educational institutions; Ethanol; Mathematical model; Optimization; Production; Proteins; Response surface methodology; Dried distillers grains with solubles (DDGS); FTIR; RSM;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2012 Fifth International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-1-4673-0470-2
Type :
conf
DOI :
10.1109/ICICTA.2012.67
Filename :
6150186
Link To Document :
بازگشت