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中国精品科技期刊2020
李锐定,王文萱,张雨荷,等. 基于径向基人工神经网络遗传算法的长寿老人源益生菌微胶囊工艺探索及其特性测评[J]. 食品工业科技,2022,43(16):119−129. doi: 10.13386/j.issn1002-0306.2021110155.
引用本文: 李锐定,王文萱,张雨荷,等. 基于径向基人工神经网络遗传算法的长寿老人源益生菌微胶囊工艺探索及其特性测评[J]. 食品工业科技,2022,43(16):119−129. doi: 10.13386/j.issn1002-0306.2021110155.
LI Ruiding, WANG Wenxuan, ZHANG Yuhe, et al. Exploration and Performance Evaluation of Probiotic Microcapsule Technology for Longevity Elderly Based on RBF-GA[J]. Science and Technology of Food Industry, 2022, 43(16): 119−129. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110155.
Citation: LI Ruiding, WANG Wenxuan, ZHANG Yuhe, et al. Exploration and Performance Evaluation of Probiotic Microcapsule Technology for Longevity Elderly Based on RBF-GA[J]. Science and Technology of Food Industry, 2022, 43(16): 119−129. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021110155.

基于径向基人工神经网络遗传算法的长寿老人源益生菌微胶囊工艺探索及其特性测评

Exploration and Performance Evaluation of Probiotic Microcapsule Technology for Longevity Elderly Based on RBF-GA

  • 摘要: 益生菌产品由于在储存或在胃肠道中活性会产生一定程度的降低,导致它们潜在的益生特性不能很好地发挥,因此,本研究对源自广西巴马百岁老人的发酵乳杆菌LTP1332进行了微胶囊化研究。在海藻酸钠(Sodium alginate,SA)和氯化钙为主要壁材的基础上,引入明胶(Gelatin,GEL)和壳聚糖(Chitosan,CS)进行复合,通过单因素实验寻找影响包埋率的关键因素,利用响应面设计(Box-Behnken Design,BBD)构建径向人工神经网络模型(Radial Basis Function,RBF),并借助遗传算法(Genetic Algorithms,GA)对其包埋工艺进行寻优。利用SEM扫描电镜等方法对优化后的胶囊进行表征,并进行体外模拟消化试验。结果表明,微胶囊的最佳制备工艺参数为:2.210%海藻酸钠,4.451% CaCl2,0.1%明胶,13.529 min固化时间,在该条件下所制样品的平均包埋率为95.08%±0.25%。优化工艺条件下的CS-GEL-SA-微胶囊经模拟胃液处理120 min后,菌体存活率仍可达22.48%±0.78%;在模拟肠液消化90 min时,菌体释放率即可达到最大值,具有较好的肠溶性。综上,该工艺条件下制备的长寿老人源益生菌微胶囊具有较好的护菌效果和开发应用前景。

     

    Abstract: The activity of probiotic products would reduce to a certain extent during storage and in the gastrointestinal tract, resulting in weakened potential probiotic properties, in this study, Lactobacillus fermentum LTP1332 from the feces of centenarians in Bama, Guangxi was microencapsulated. In this experiment, gelatin (GEL) and chitosan (CS) were introduced for compounding based on sodium alginate (SA) and CaCl2 as the main wall materials. The key factors affecting the embedding rate were found by single-factor test, the radial basis function (RBF) was constructed by using Box-Behnken design (BBD), and the encapsulation process of Lactobacillus fermentum LTP1332 microcapsules was optimized by using genetic algorithms (GA). The optimized capsules were characterized using SEM scanning electron microscopy and other methods, and the in vitro simulated digestion tests was carried out. Results showed that, the optimum preparation parameters of the microcapsule were as follows: 2.210% sodium alginate, 4.451% CaCl2, 0.1% gelatin, 13.529 min curing time. Under such conditions, the measured average embedding rate was 95.08%±0.25%. The cell survival rate of CS-GEL-SA microcapsule under the optimized processing conditions could still reach 22.48%±0.78% after being treated with simulated gastric juice for 120 min. The maximum rate of probiotic release could be reached at 90 min of digestion with simulated intestinal juice, which had good intestinal solubility. Therefore, it is considered that the long-lived elderly source probiotic microcapsule prepared under this processing condition would have a good bacterial protection effect and good prospects in development and application.

     

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