Application of fuzzy mathematic evaluation in the optimum of Maillard reaction for Antarctic krill hydrolyzate
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摘要: 为了得到南极磷虾美拉德反应的最佳工艺条件,以感官评定为基础对南极磷虾美拉德反应产物的色泽、气味、滋味和组织形态进行权重分析,建立感官综合评分体系;采用正交实验结合模糊数学感官评价方法分析D-木糖添加量、初始p H、反应时间、反应温度、4个指标对南极磷虾酶解液美拉德反应感官评价的影响。正交实验结果表明,南极磷虾酶解液美拉德反应最佳工艺条件:D-木糖添加量40 g/L、初始p H8.5、反应时间90 min、反应温度105℃,食盐添加量20 g/L。在此条件下,南极磷虾美拉德反应产物的感官等级评定为优,其优秀峰值为0.462。将模糊数学应用于南极磷虾酶解液美拉德反应产物的感官评价,使结果更加客观准确,为南极磷虾深加工的应用与研究提供了参考数据。Abstract: Fuzzy mathematic evaluation model was introduced to optimize the Maillard reaction technology of Antarctic krill hydrolyzate.As four key factors,colour,texture,taste and odour of Maillard reaction products were on weight analysis based on sensory evaluation,and the integrated assessment system was established. The technology of Maillard reaction products was optimized by single factor and orthogonal tests,combining with sensory evaluation method of fuzzy mathematics.The effects of addition of D- xylose,initial p H,reaction time,reaction temperature on sensory evaluation for Maillard Reaction were investigated. The results showed that the optimum stewed conditions were as follows: D- xylose addition of 40 g / L,initial p H of 8.5,reaction time of 90 min,reaction temperature of 105 ℃ and salt addition of 20 g / L.Under this optimal condition,the sensory evaluation level of Maillard reaction products was excellent with the peak of 0.462. Sensory evaluation combined with fuzzy mathematics make the estimation more objective and correct,which provide reference basis for the application and research of deep process of Antarctic krill.
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Keywords:
- Antarctic krill /
- hydrolyzate /
- fuzzy mathematics /
- sensory evaluation /
- Maillard reaction
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[1] Atkinson A,Siegel V,Pakhomovc E,et al.A re-appraisal of the total biomass and annual production of Antarctic krill[J].Deep-sea research I,2009,56:727-740.
[2] 孙雷,周德庆,盛晓风.南极磷虾营养评价与安全性研究[J].海洋水产究,2008,29(2):57-64. [3] Yoshitomi B.Utilization of antarctic krill for food and feed[J].Food Chemistry,2004,43(2):45-49.
[4] Janet C T,Jacek J,Yi C C.Krill for human consumption:Nutritional value and potential health benefits[J].Nutrition Reviews,2007,65(2):63-77.
[5] 朱元元,尹雪斌,周守标.南极磷虾硒及矿质营养的初步研究[J].极地研究,2010,22(2):135-140. [6] 王亚恩.南极磷虾油脂降血脂、抗氧化力及其改善记忆力功能实验研究[D].青岛:中国海洋大学,2011. [7] Moren M,Malde M K,Olsen R E,et al.Fluorine accumulation in Atlantic salmon(Salmo salar),Atlantic cod(Gadus morhua),rainbow trout(Onchorhyncus mykiss)and Atlantic halibut(Hippoglossus hippoglossus)fed diets with krill or amphipod meals and fish meal based diets with sodium fluoride(Na F)inclusion[J].Aquaculture,2007,269(1-4):525-531.
[8] 孙国勇,左映平.虾酱发酵技术及研究进展[J].中国调味品,2013,38(1):60-62. [9] 黄艳青,陆建学,黄洪亮,等.南极磷虾木瓜蛋白酶酶解产物的营养学评价[J].海洋渔业,2012,34(3):324-330. [10] Amerine A M,Pangborn R S,Roessler E B.Principle of Sensory Evaluation of Food[M].New York and London:Academic Press,1965.
[11] 霍红.模糊数学在食品感官评价质量控制方法中的应用[J].食品科学,2004(6):185-188. [12] 刘安军,刘有志,史建超.模糊数学评价法在鹅肝酱研制中的应用[J].食品研究与开发,2006,27(1):82-83. [13] Seung J L,Young A K.Study on fuzzy reasoning application for sensory evaluation of sausages[J].Food Control,2007,18:811-816.
[14] Lee S J,Noh W S,Choi Y C.Sensory evaluation of cooked rice with fuzzy reasoning[J].Korean Journal of Food Science and Technology,1994,26:776-778.
[15] 顾伟钢,彭燕,张进杰,等.模糊数学综合评价法在炖煮猪肉工艺优化中的应用[J].浙江大学学报:农业与生命科学版,2011,37(5):573-577. [16] 赵永敢,曾维丽,代建华.模糊数学在西兰花香肠研制中的应用[J].肉类工业,2013,10:29-32. [17] 胡庆兰,余海霞,杨水兵,等.基于模糊数学法评价超高压处理后鱿鱼的品质[J].浙江大学学报:农业与生命科学版,2013(2):133-140. [18] 潘明,洪玉程.模糊数学综合评判四川泡菜感官评价的应用[J].四川理工学院学报:自然科学版,2013(2):11-14. [19] 魏永义,张东升.食醋香气感官评定研究[J].中国调味品,2015,12:123-125. [20] 陈芜荪.方便面质量的模糊综合评价[J].西部粮油科技,1997(1):48-51. [21] 崔莉,李大婧,高小女,等.基于模糊数学感官评价和混料设计的低度甜糯玉米酒原料配方优化[J].核农学报,2015(1):106-112. [22] 李石新,邓屹洋.基于模糊数学的肉制品感官综合评判研究——以酱牛肉为例[J].内蒙古农业大学学报:自然科学版,2013(1):78-82. [23] 张迪,吉薇,吉宏武,等.响应面优化南极磷虾酶解液的脱氟工艺[J].南方农业学报,2016,47(7):1187-1192. [24] 孙红梅,王金枝,张春晖,等.应用模糊数学优化鸡骨素美拉德反应工艺[J].中国食品学报,2014(6):74-80. [25] 邵澜媛,周建伟,刘东红.食品中美拉德反应机理及动力学模型的研究进展[J].中国食品学报,2012,12:103-112. [26] 王旭,冯涛,庄海宁.氨基酸对美拉德反应产物呈香特性的研究进展[J].中国调味品,2013(7):1-5,13.
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