Combining various wall materials for encapsulation of blueberry anthocyanin extracts: Optimization by artificial neural network and genetic algorithm and a comprehensive analysis of anthocyanin powder properties

文献类型： 外文期刊

第一作者： Tao, Yang

作者： Tao, Yang;Wang, Ping;Wang, Jiandong;Wu, Yue;Han, Yongbin;Zhou, Jianzhong

作者机构：

关键词： Blueberry anthocyanins;Encapsulation;Artificial neural network;Genetic algorithm;Optimization;Powder property

期刊名称：POWDER TECHNOLOGY （ 影响因子：5.134； 五年影响因子：4.801 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： Various wall materials, including maltodextrin (MD),beta-cyclodextrin (beta-CD), whey protein isolate (WPI) and gum Arabic (Gum-A) were combined together as the wall materials for encapsulation of blueberry anthocyanin extracts through freeze drying. Simplex lattice mixture design was used to make the experimental design. Artificial neural network (ANN) combined with genetic algorithm (GA) was successfully applied to model the influences of formulation composition on encapsulation productivity (EP) and encapsulation efficiency (EE), as well as obtain optimum formulations. Four optimum formulations were provided by the ANN-GA approach. In all the optimum formulations, WPI had the highest content. Using the optimum formulations, EP values were higher than 96% and EE values exceeded 82%. On the other hand, the properties of resulting anthocyanin powders were analyzed from different aspects. Although there were some differences in bulk density, particle size and glass transition temperature among encapsulated powders using different formulations, all the samples exhibited similar moisture content, water activity, color property and crystallinity. More importantly, encapsulation using resulting optimum formulations was effective to protect blueberry anthocyanins against degradation during heating. (C) 2017 Elsevier B.V. All rights reserved.

分类号： TB44`TQ

  • 相关文献

[1]Protective Effects of Blueberry Anthocyanins against H2O2-Induced Oxidative Injuries in Human Retinal Pigment Epithelial Cells. Huang, Wu-Yang,Wu, Han,Li, Da-Jing,Song, Jiang-Feng,Xiao, Ya-Dong,Liu, Chun-Quan,Zhou, Jian-Zhong,Huang, Wu-Yang,Sui, Zhong-Quan. 2018

[2]Identification and releasing characteristics of beta-cyclodextrin-phenylethanoid glycosides inclusion complex. Sheng, Zhixuan,Tian, Yaoqi,Hu, Xiuting,Jin, Zhengyu,Xu, Xueming,Cheng, Anwei. 2014

[3]Preparation and characterization of alpha-galactosidase-loaded chitosan nanoparticles for use in foods. Liu, Yong,Li, Yanli,Xu, Shaochun,Tang, Jiangwu,Xu, Yaoxing,Sun, Yan,Ding, Juntao. 2011

[4]Improved stability and controlled release of omega 3/omega 6 polyunsaturated fatty acids by spring dextrin encapsulation. Yang, Na,Jin, Zhengyu,Xu, Xueming,Xu, Jin,Zhao, Wenxiu,Ning, Yawei,Bashari, Mohanad,Wu, Fengfeng,Chen, Haiying,Yang, Na,Jin, Zhengyu,Xu, Xueming,Xu, Baocai,Zhang, Lixia. 2013

[5]Encapsulation of Polymethoxyflavones in Citrus Oil Emulsion-Based Delivery Systems. Yang, Ying,Zhao, Chengying,Tian, Guifang,Zheng, Jinkai,Chen, Jingjing,Chen, Jingjing,McClements, David Julian,Xiao, Hang.

[6]Simulating soil water and solute transport in a soil-wheat system using an improved genetic algorithm. Luo, Changshou,Sun, Sufen,Zhang, Junfeng,Zuo, Qiang,Li, Baoguo. 2008

[7]Prediction of Vegetable Price Based on Neural Network and Genetic Algorithm. Zhou, Liying,Luo, Changshou,Wei, Qingfeng,Zhang, Junfeng,Sun, Sufen. 2011

[8]Genetic Algorithm Applied to the Selection of Factors in Principal Component: ASQR study of Aromatic Hydrocarbons Toxicity to Chlorella vulgaris. Yang Sheng-Long,Wang Cui-Hua,Wu Yang,Yu Hong-Xia,Wang Lian-Shen. 2013

[9]Genetic algorithm based approach to optimize phenotypical traits of virtual rice. Ding, Weilong,Xu, Lifeng,Wei, Yang,Wu, Fuli,Zhu, Defeng,Zhang, Yuping,Max, Nelson.

[10]Analysis of batch and repeated fedbatch productions of Candida utilis cell mass using mathematical modeling method. Lin, Yutian,Liu, Guoli,Lin, Jianqiang,Liu, Guoli,Lin, Huibin,Gao, Ling. 2013

[11]Global sensitivity analysis and calibration of parameters for a physically-based agro-hydrological model. Xu, Xu,Huang, Guanhua,Xu, Xu,Huang, Guanhua,Sun, Chen,Mohanty, Binayak P.. 2016

[12]Retrieval of LAI and leaf chlorophyll content from remote sensing data by agronomy mechanism knowledge to solve the ill-posed inverse problem. Li, Zhenhai,Nie, Chenwei,Yang, Guijun,Xu, Xingang,Jin, Xiuliang,Gu, Xiaohe. 2014

[13]An Improved Personalized Genetic Algorithm Incorporated Item Distribution for Test Sheet Assembling. Gu, Peipei,Niu, Zhendong,Chen, Xuting,Niu, Ke,Sun, Jia,Niu, Zhendong,Chen, Wei. 2014

[14]Parameter Acquirement Methods for Rule-based Model of Virtual Plant Based on Optimal Algorithms. Ding, Weilong,Xu, Lifeng,Hu, Chen,Zhang, Yuping. 2012

[15]The Advances, Problems and Advices of Structural-Functional Modeling for Fruit Trees. Hong, Jianjun,Gan, Yangying,Yan, Minjie. 2011

[16]Plant Identification Based on Artificial Intelligence. Hou Chun Sheng,Zhou Ting. 2011

[17]Damage Mapping of Powdery Mildew in Winter Wheat with High-Resolution Satellite Image. Yuan, Lin,Zhang, Jingcheng,Nie, Chenwei,Wei, Liguang,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Zhang, Jingcheng,Wang, Jihua,Yuan, Lin,Zhang, Jingcheng,Wang, Jihua,Shi, Yeyin. 2014

[18]Pedotransfer Functions for Estimating Soil Bulk Density: A Case Study in the Three-River Headwater Region of Qinghai Province, China. Yi Xiangsheng,Yi Xiangsheng,Li Guosheng,Yin Yanyu. 2016

[19]Application of Artificial Neural Network to the Assessment Environmental Quality of Urban wetland in Northeast China. Li Ji-guang,Ren Yi-bin,Ren Nan-qi,Li Ji-guang,Wang Qi-shuo,Tian Shuangqi,He Ji-wei,Wang He,Ren Nan-qi. 2012

[20]Spatio-temporal changes in rice area at the northern limits of the rice cropping system in China from 1984 to 2013. Long Yu-qiao,Tang Peng-qin,Li Zheng-guo,Wu Wen-bin,Hu Ya-nan,Yang Peng,Tan Jie-yang. 2017

作者其他论文 更多>>

微信小程序