摘要
为了快速鉴别不同品种和陈酿年份的黄酒,采用H2SO4-(NH4)4Ce(SO4)4-CH2(COOH)2-KBrO3振荡体系,建立7种会稽山黄酒的电化学指纹图谱。本文系统研究了温度、转速、硫酸铈铵浓度、氢离子浓度、丙二酸浓度、溴酸钾及黄酒用量等因素对黄酒电化学指纹图谱的影响,得到最佳测定条件为:溶液总体积100 mL,温度39℃,转速650 r/min,硫酸铈铵浓度0.006000 mol/L,氢离子浓度1.800 mol/L,丙二酸浓度0.08000 mol/L,溴酸钾1.116 g,黄酒1.40 mL。测定结果表明:不同品种和陈酿年份黄酒的电化学指纹图谱主要特征参数存在着显著差异,采用指纹图谱系统相似度可识别黄酒的品种和陈酿年份。当电化学指纹图谱系统相似度>97.59%时属同种黄酒,当系统相似度≤97.59%时则非同种黄酒。
In order to discriminate varieties and completed years of Chinese rice wine,H2SO4-(NH4)4Ce(SO4)4-CH2(COOH)2-KBrO chemical oscillation system was used to get the electrochemical fingerprint of Chinese rice wine by recording the electrochemical potential of oscillation system over time.The determining conditions were investigate in terms of temperature,stirring rate,hydrogen ion concentration,(NH4)4Ce(SO4)4 concentration,CH2(COOH)2 concentration,KBrO3 and Chinese rice wine amount etc.The optimum determining conditions were established with total volume of 100 mL,temperature of 39℃,stirring rate of 650 r/min,hydrogen ion concentration of 1.800 mol/L,(NH4)4Ce(SO4)4 concentration of 0.006000 mol/L,CH2(COOH)2 concentration of 0.08000 mol/L,KBrO3 of 1.116 g,Chinese rice wine of 1.40 mL.The results indicated that the electrochemical fingerprints of Chinese rice wine from different varieties and different completed years show significantly different characteristics,and can be used to identify the varieties and completed years of Chinese rice wine.The system similarity of the fingerprints of the same variety of Chinese rice wine was bigger than 97.59%,and the system similarity of the fingerprints of the different varieties of Chinese rice wine was less than or equal to 97.59%.
作者
张南南
吴小红
王铭洲
曹辉
夏捷
金建忠
Zhang Nannan;Wu Xiaohong;Wang Mingzhou;Cao Hui;Xia Jie;Jin Jianzhong(College of Biology and Environmental Engineering,Zhejiang Shuren University,Hangzhou 310015)
出处
《中国食品学报》
EI
CAS
CSCD
北大核心
2020年第11期228-238,共11页
Journal of Chinese Institute Of Food Science and Technology
基金
浙江省大学生科技创新活动计划暨新苗人才计划项目(2018R421016)。
关键词
黄酒
电化学指纹图谱
振荡体系
系统相似度
Chinese rice wine
electrochemical fingerprint
oscillation system
system similarity