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苯酚-硫酸法测定紫山药多糖含量的条件优化
引用本文:王彦平,娄芳慧,陈月英,杨会会,赵峥嵘,贾彦杰,孙瑞琳.苯酚-硫酸法测定紫山药多糖含量的条件优化[J].食品研究与开发,2021,42(4):170-174.
作者姓名:王彦平  娄芳慧  陈月英  杨会会  赵峥嵘  贾彦杰  孙瑞琳
作者单位:河南农业职业学院食品工程学院
基金项目:河南省科技厅科技攻关计划项目(182102110185);2019年度河南农业职业学院科研创新团队项目(HNACKT-2019-02)。
摘    要:建立苯酚-硫酸法测定紫山药中多糖含量的方法。以吸光度A为指标,对最大吸收波长、显色温度、显色时间、浓硫酸用量、苯酚用量5个因素进行优化。并对该方法的精密度、加标回收率等进行考察。结果表明,最优检测条件为最大吸收波长488 nm、浓硫酸用量5.0 mL、6%的苯酚用量0.7 mL、显色温度80℃、显色时间20 min。该方法线性范围为0~54μg/mL,相对标准偏差为1.19%,加标回收率为97.26%~102.63%,可作为紫山药中多糖的测定方法。

关 键 词:苯酚-硫酸法  紫山药  多糖  测定  优化
收稿时间:2020/3/24 0:00:00

Optimization of Analytical Conditions for the Determination of Polysaccharides Contents in Purple Yam by Phenol-Sulfuric Acid Method
WANG Yan-ping,LOU Fang-hui,CHEN Yue-ying,YANG Hui-hui,ZHAO Zheng-rong,JIA Yan-jie,SUN Rui-lin.Optimization of Analytical Conditions for the Determination of Polysaccharides Contents in Purple Yam by Phenol-Sulfuric Acid Method[J].Food Research and Developent,2021,42(4):170-174.
Authors:WANG Yan-ping  LOU Fang-hui  CHEN Yue-ying  YANG Hui-hui  ZHAO Zheng-rong  JIA Yan-jie  SUN Rui-lin
Affiliation:(Department of Food Engineering,Henan Vocational College of Agriculture,Zhengzhou 451450,Henan,China)
Abstract:The phenol-sulfuric acid method to determine the concentration of polysaccharides in purple yam was established.Taking absorbance A as an index,the experimental conditions were optimized from 5 aspects:determination wavelength,amount of sulfuric acid,amount of phenol,reaction time,reaction temperature,and the precision and sample recovery of the method were investigated.The experimental results showed that the optimum conditions were absorption wavelength 488 nm,sulfuric acid 5.0 mL,6%phenol 0.7 mL,reaction temperature 80℃,reaction time 20 min.According to the results,the line of range was from 0 to 54μg/mL,the relative standard deviation was 1.19%,and the recoveries were from 97.26%to 102.63%.The results proved that this method could be used for the determination of polysaccharides in purple yam.
Keywords:phenol-sulfuric acid method  purple yam  polysaccharides  determination  optimization
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