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投稿时间:2021-10-05
投稿时间:2021-10-05
中文摘要: 建立一种对不同品种马铃薯中4种可溶性糖含量进行测定分析的方法,明确山西省17种马铃薯中可溶性糖的含量,以期为山西省马铃薯的加工利用提供理论依据。结果表明:在色谱柱为Zorbax Carbohydrate(4.6 mm×250 mm,5 μm),流动相为乙腈和水(70∶30,体积比),流速 0.9 mL/min,进样量 20 μL,柱温 35 ℃的条件下这 4 种可溶性糖在15 min内达到良好的分离。其标准曲线的相关系数均大于0.999,且重复率、稳定性、精密度、回收率的相对标准偏差(relative standard deviation,RSD)均在5%以内,说明该测定方法良好。17种马铃薯可溶性糖含量为370.95 mg/100 g~4 497.24 mg/100 g,还原糖含量为 63.09 mg/100 g~2 727.03 mg/100 g,果糖含量为 63.09 mg/100 g~1 272.67 mg/100 g,葡萄糖含量为 33.11 mg/100 g~1 409.66 mg/100 g,麦芽糖含量为 40.29 mg/100 g~147.28 mg/100 g,蔗糖含量为 25.11 mg/100 g~1 770.21 mg/100 g。不同品种马铃薯中可溶性糖组分相似,但其含量差异较大。
Abstract:To provide a theoretical basis for the processing and utilization of potatoes in Shanxi province,a method for determining the content of 4 kinds of soluble sugars in different varieties of potatoes was established,and the soluble sugar content in 17 varieties of potatoes in Shanxi province was clarified.The column was Zorbax Carbohydrate (4.6 mm×250 mm,5 μm),and the mobile phase was acetonitrile and water (70∶30,volume ratio),with 0.9 mL/min of the flow rate.The injection volume was 20 μL,and the column temperature was 35 ℃.Under such conditions,the 4 kinds of soluble sugars achieved good separation within 15 min.The correlation coefficients of the standard curves were all greater than 0.999,and the relative standard deviation(RSD)of the severity rate,stability,precision,and recovery rate were all within 5%,indicating that the determination method was good.The total content of soluble sugar of 17 kinds of potatoes was 370.95 mg/100 g-4 497.24 mg/100 g,and the reducing sugar content was 63.09 mg/100 g-2 727.03 mg/100 g.Fructose content was 63.09 mg/100 g-1 272.67 mg/100 g,and glucose content was 33.11 mg/100 g-1 409.66 mg/100 g.Maltose content was 40.29 mg/100 g-147.28 mg/100 g,and sucrose content was 25.11 mg/100 g-1 770.21 mg/100 g.The composition of soluble sugar in different varieties of potatoes was similar,but the content varied greatly.
文章编号:202222024 中图分类号: 文献标志码:
基金项目:山西省重点研发计划项目(201903D221039);山西省农业科学院科技创新研究课题(YCX2020202);吕梁市引进高层次科技人才重点研发项目(2018-21-07)
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