Developing a novel artificial model to predict the foaming properties and β-carotene content of lucuma ( Pouteria lucuma) ) during foam-mat drying and process optimization

被引:0
作者
Thuy, Nguyen Minh [1 ]
Duong, Le Thi Thuy [1 ]
Giau, Tran Ngoc [1 ]
Hao, Hong Van [1 ]
Minh, Vo Quang [2 ]
Tai, Ngo Van [3 ]
机构
[1] Can Tho Univ, Inst Food & Biotechnol, Can Tho 900000, Vietnam
[2] Can Tho Univ, Coll Environm & Nat Resources, Can Tho 900000, Vietnam
[3] King Mongkuts Inst Technol Ladkrabang, Sch Food Ind, Bangkok 10520, Thailand
关键词
Lucuma; Response surface methodology; Artificial neural network; beta-carotene; Foam-mat drying; EGG-ALBUMIN; ANTIOXIDANT;
D O I
10.1016/j.jafr.2024.101460
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Drying fruit puree by the foam drying method has become popular due to its simplicity, low cost, short drying time, and low thermal degradation. The objective of the study was to investigate the effect of foaming conditions on foam properties (foam expansion, foam density) and content of beta-carotene in lucuma powder using BoxBehnken design (BBD) with 3 factors and 3 levels, including water:lucuma ratio (1:1-3:1), egg albumin concentration (EA, 5-15 %), and xanthan gum (XG, 0.1-0.3 %). Response surface methodology (RSM) and artificial neural network (ANN) were used for model establishment. The results showed that as the EA increased, the foam volume increased significantly, while the foam density decreased. The ANN-coupled BBD model structure of 3-10-3 demonstrated a high level of accuracy in predicting the impact of foaming formulation on responses, with a coefficient of determination exceeding 0.99. The optimal conditions by stimulation multiple-objective RSM for lucuma foam-mat drying were achieved with a water:lucuma ratio, EA, and XG of 2.53:1, 10.8 %, and 0.22 %, respectively. Based on these ideal conditions, the foam density, foam expansion, and beta-carotene content of the dried powder were found to be 0.23 +/- 0.04 g/mL, 228 +/- 2 %, and 237.1 +/- 0.1 mu g/g, respectively. The obtained experimental values were very close to the model-predicted results, with very low differences identified when the validation was performed. These findings provide information for controlling the drying process using an artificial model and further applying lucuma powder in various fields in the food industry.
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页数:10
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