刘 星,杨 黎,冯 婷,杨旭萍,雷 蕾,谢 鹏.高效液相色谱法检测4种食品中11种食品添加剂[J].食品安全质量检测学报,2021,12(10):4188-4194
高效液相色谱法检测4种食品中11种食品添加剂
Determination of 11 kinds of food additives in 4 kinds of foods by high performance liquid chromatography
投稿时间:2021-02-18  修订日期:2021-05-22
DOI:
中文关键词:  高效液相色谱法  防腐剂  甜味剂  测定优化
英文关键词:high performance liquid chromatography  preservatives  sweeteners  determination optimization
基金项目:
作者单位
刘 星 广西-东盟食品检验检测中心 
杨 黎 广西-东盟食品检验检测中心 
冯 婷 广西-东盟食品检验检测中心 
杨旭萍 横县综合检验检测中心 
雷 蕾 横县综合检验检测中心 
谢 鹏 广西壮族自治区食品药品检验所 
AuthorInstitution
LIU Xing Guangxi-Asean Food Inspection Center 
YANG Li Guangxi-Asean Food Inspection Center 
FENG Ting Guangxi-Asean Food Inspection Center 
YANG Xu-Ping HengxianComprehensive Inspection and Testing Center 
LEI Lei HengxianComprehensive Inspection and Testing Center 
XIE Peng Guangxi Institute for Food and Drug Control 
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中文摘要:
      目的 建立高效液相色谱法(high performance liquid chromatography, HPLC)测定4种食品中11种食品添加剂的分析方法。方法 选择糕点、辣条、饮料、酱油为基质, 采用HPLC同时测定食品中11种添加剂, 包括糖精钠、苯甲酸、山梨酸、脱氢乙酸、对羟基苯甲酸甲酯、对羟基苯甲酸乙酯、对羟基苯甲酸异丙酯、对羟基苯甲酸丙酯、对羟基苯甲酸异丁酯、对羟基苯甲酸丁酯、对羟基苯甲酸苄基。以20 mmol/L乙酸铵和乙腈为流动相进行梯度洗脱, 在波长254 nm下检测。结果 该方法中11种食品添加剂线性关系良好, 相关系数均大于0.999, 糕点、辣条、饮料、酱油中的回收率分别为92.9%~116.2%、92.4%~116.5%、84.6%~111.7%、89.1%~111.2%; 相对标准偏差分别为1.1%~7.8%、0.8%~8.4%、0.7%~7.4%、0.9%~8.4%。每种添加剂的检出限和定量限均低于国家标准, 符合检测要求。结论 该方法具有简单、方便、灵敏度高等优点, 能够满足多类食品中添加剂检测的需要。
英文摘要:
      Objective To establish a method fordetermination of 11 kinds of food additives in 4 kinds of foods by high performance liquid chromatography (HPLC). Methods Typical samples were chosen such as pastries, spicy dry tofu, drinks, soy sauce. Eleven food additives were determined by HPLC, including sodium saccharin, benzoic acid, sorbic acid, dehydroacetic acid, methyl p-hydroxybenzoate, ethyl p-hydroxybenzoate, isopropyl p-hydroxybenzoate, propyl p-hydroxybenzoate, isobutyl p-hydroxybenzoate, butyl p-hydroxybenzoate, benzyl p-hydroxybenzoate. 20 mmol/L ammonium acetate and acetonitrilewere selectedasmobile phasesand 254 nm wasselected asdetermine wavelength. Gradient elution was performed. Results The linear relationship of 11 food additives in this method was good and the correlation coefficients were all greater than 0.999. The recoveries of pastry, spicy dry tofu, beverage and soy sauce were 92.9%?116.2%, 92.4%?116.5%, 84.6%?111.7%, 89.1%?111.2%, and the relative standard deviation were 1.1%?7.8%, 0.8%?8.4%, 0.7%?7.4%, 0.9%?8.4%, respectively. The limits of detection and limits of quantification of each additive were lower than the national standard. Conclusion This method has the advantages of simplicity, convenience and high sensitivity, which complies with the needs of food additives detection.
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