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Optimization of the silica‐gel adsorption technique for the extraction of phytosterol glycosides from soybean lecithin powder using response surface methodology and artificial neural network models
Author(s) -
Kang Jingjing,
Cao Dong
Publication year - 2020
Publication title -
journal of food science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.772
H-Index - 150
eISSN - 1750-3841
pISSN - 0022-1147
DOI - 10.1111/1750-3841.15183
Subject(s) - phytosterol , chromatography , adsorption , response surface methodology , chemistry , lecithin , extraction (chemistry) , phospholipid , silica gel , glycoside , yield (engineering) , materials science , stereochemistry , organic chemistry , biochemistry , membrane , metallurgy
Phytosterol glycosides (PGs), comprising both acylated steryl glycosides (ASGs) and steryl glycosides (SGs), are active ingredients with benefits for human use. Here, we aimed to optimize the silica‐gel adsorption technique for the extraction of PGs from soybean lecithin powder, which contains 5 to 10% of these glycolipids. Both response surface methodology (RSM) and artificial neural networks (ANNs) were applied to optimize the PG extraction parameters ( X 1 = silica‐gel dosage, X 2 = adsorption temperature, and X 3 = lecithin concentration) for high‐purity phospholipid and PG production, and their prediction and optimization accuracies were compared. Although both models fitted well with the experimental data, the ANN model demonstrated better accuracy for predicting and optimizing the conditions using four interrelated dependent variables ( Y 1 = phospholipid yield, Y 2 = ASG recovery, Y 3 = SG recovery, and Y 4 = PG purity) and had a higher coefficient of determination and lower root mean square error and absolute average deviation. After digitally setting the percentages of the four dependent variables for phospholipid and PG production, the ANN‐optimized phospholipid product ( Y 1 = 88.07%, Y 2 = 98.89%, Y 3 = 100%, and Y 4 = 49.03%) was acquired at X 1 = 3.54 g/g, X 2 = 26 °C, and X 3 = 43 mg/mL, whereas the PG product ( Y 1 = 83.83%, Y 2 = 97.64%, Y 3 = 100%, and Y 4 = 59.21%) was obtained at X 1 = 2.00 g/g, X 2 = 28.38 °C, and X 3 = 41 mg/mL. In conclusion, the ANN method was better than RSM for the optimization of the silica‐gel adsorption technique for PG extraction from soybean lecithin powder. Practical Application This paper lays a theoretical foundation for the optimization of the industrial production of phytosterol glycosides and the comprehensive utilization of lecithin resources.