朱凤妹,阎贺静,周洁芳,张绍英,江水泉,李 军.番茄制汁的工艺条件优化及货架期预测模型的建立[J].食品安全质量检测学报,2019,10(9):2567-2574
番茄制汁的工艺条件优化及货架期预测模型的建立
Optimization of processing conditions and establishment of shelf-life prediction model for tomato juice
投稿时间:2019-04-18  修订日期:2019-04-24
DOI:
中文关键词:  番茄汁  稳定剂  货架期  预测
英文关键词:tomato juice  stabilizer  shelf-life  prediction
基金项目:国家公益性行业(农业)科研专项(201303079)、河北省科技厅农业关键共性技术攻关专项(18227105D)、河北省教育教学教研改革项目(2017GJJG159)、校级教育教学改革研究重点项目(JYZB201704)
作者单位
朱凤妹 河北科技师范学院食品科技学院 
阎贺静 河北科技师范学院食品科技学院 
周洁芳 河北科技师范学院食品科技学院 
张绍英 中国农业大学工学院 
江水泉 江苏楷益智能科技有限公司 
李 军 河北科技师范学院食品科技学院 
AuthorInstitution
Zhu Feng-mei College of Food Science and Technology,Hebei Normal University of Science and Technology Qinhuangdao 
YAN He-Jing College of Food Science and Technology,Hebei Normal University of Science and Technology Qinhuangdao 
ZHOU Jie-Fang College of Food Science and Technology,Hebei Normal University of Science and Technology Qinhuangdao 
ZHANG Shao-Ying College of Engineering, China Agricultural University 
JIANG Shui-Quan Jiangsu Kaiyi Intelligent Technology Co., Ltd. 
LI Jun College of Food Science and Technology,Hebei Normal University of Science and Technology Qinhuangdao 
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中文摘要:
      目的 优化番茄制汁工艺条件, 建立货架期预测模型。方法 以红熟且无破损的番茄等外果为主要原料, 经去蒂、清洗、热烫去皮、破碎榨汁制成新鲜的番茄汁, 研究在不同温度(5、27、37 ℃)贮藏对产品品质的影响; 利用Arrhenius方程为基础, 建立相关联动力学模型; 研究感官评价、pH、番茄花青素含量、色差在不同储藏时间变化进行番茄汁货架期预测研究。结果 0.03%的黄原胶、0.10%的羧甲基纤维素钠、0.05%的琼脂片组成的复合稳定剂稳定效果最好, 口感饱满可口、细腻爽滑, 番茄香气清新浓郁。采用模糊权重法对番茄汁货架期间的多项品质指标不同的加权系数进行综合评定。品质综合评价的加权关联度=感官评分sensory×0.25+pH×0.25+番茄红色×0.25+色差×0.25。结论 该模型可以用于番茄汁货架期预测。
英文摘要:
      Objective To optimize the processing conditions and establish shelf life prediction model of tomato juice. Methods The red and ripe tomatoes and other non-broken tomatoes were used as the main raw materials. After being stalked, washed, blanched and peeled, the juice was made into fresh tomato juice and stored at different temperatures (5, 27, 37 °C) to investigate the impact on product quality. Based on the Arrhenius equation, the related dynamics model was established. The shelf life of tomato juice was studied by sensory evaluation, pH, anthocyanin content and color difference in different storage time. Results The composite stabilizer consisting of 0.03% xanthan gum, 0.10% sodium carboxyl methyl cellulose-Na (CMC-Na) and 0.05% agar tablets had the best stabilizing effect on tomato juice. The taste was full and delicious, delicate and smooth, and the tomato aroma was fresh and rich. The fuzzy weight method was used to comprehensively evaluate the weighting coefficients of multiple quality indicators during the shelf life of tomato juice. Weighted correlation of quality comprehensive evaluation=sensory score sensory×0.25+pH×0.25+tomato red×0.25+color difference×0.25. Conclusion This model can be used for shelf prediction of tomato juice.
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