摘要
按照榨汁、澄清、熬煮传统红糖的加工工艺制作成块状红糖,每块重量为8 g,每块体积参数为长度×宽度×厚度=2.9 cm×1.8 cm×0.8 cm,利用鼓风干燥技术对红糖烘干工艺条件进行优化,分析了烘干时间、物料大小和烘干温度等因素对红糖水分失重的影响,结合色泽、香气、滋味和口感评价,确定了各因素的最佳范围,在此基础上进行三因素三水平的L9(3^(3))正交试验,优化块状红糖的烘干工艺条件。结果表明:各因素对块状红糖烘干工艺的影响依次表现为物料大小>烘干温度>烘干时间,块状红糖最优烘干工艺为烘干时间20 h、物料大小1/2和烘干温度55℃,在此最优烘干工艺条件下得到的块状红糖色泽自然均匀呈红褐色,口感纯正,具有红糖的芳香味。
According to the processing technology of juicing,clearing and boiling the traditional brown sugar,the lumpy brown sugar was made.The weight of each piece was 8 g,and the volume parameters of each piece were length×width×thickness=2.9 cm×1.8 cm×0.8 cm.Then,the drying process conditions of brown sugar were optimized by using the forced air drying technology.And the effects of the factors such as drying time,material size and drying temperature on the water loss of brown sugar were analyzed.By combining with the evaluation of color,aroma,taste and flavor,the optimal range of each factor was determined.On this basis,L9(3^(3))orthogonal experiment with three factors and three levels was carried out to optimize the drying conditions of lumpy brown sugar.The results showed that the effect of various factors on the drying process of lumpy brown sugar was in the order of material size>drying temperature>drying time.The optimal drying process for the lumpy brown sugar was as follows:drying time of 20 h,material size of 1/2 and drying temperature of 55℃.Under the optimal drying process conditions,the lumpy brown sugar was naturally and evenly reddish-brown in color,with pure taste and aromatic odour of brown sugar.
作者
张树河
王桥凤
吴松海
李和平
李瑞美
ZHANG Shu-he;WANG Qiao-feng;WU Song-hai;LI He-ping;LI Rui-mei(Institute of Subtropical Agriculture,Fujian Academy of Agricultural Sciences,Zhangzhou,Fujian 363005,China;Lipu City Huasu Town People's Government of Guilin,Lipu,Guangxi 546600,China)
出处
《福建农业科技》
CAS
2021年第10期1-5,共5页
Fujian Agricultural Science and Technology
基金
福建省科技计划项目——省属公益类科研院所基本科研专项(2019R1030-1)
福建农林大学国家甘蔗工程技术研究中心开放课题(NERO2018.1.5)
国家糖料产业技术体系漳州综合试验站(CARS-170707)。
关键词
块状红糖
烘干工艺
条件优化
品质评价
Lumpy brown sugar
Drying process
Condition optimization
Quality evaluation