市售馒头中甜蜜素含量调查分析
Analysis of the Content of Sodium Cyclamate in Commercially Steamed Bread
宋东晓1
作者信息
- 1. 宁德市食品药品检验检测中心,福建 宁德 352000
- 折叠
摘要
目的:采用液相色谱质谱法测定馒头中的甜蜜素含量,对市售馒头中甜蜜素的添加情况进行调查分析,为市场监管开辟路径.方法:以《食品安全国家标准 食品中环己基氨基磺酸盐的测定》(GB 5009.97-2023)第三法液质法为基础,通过优化流动相和样品前处理,建立液相色谱质谱法测定馒头中甜蜜素.以购自超市及早餐店的 50 份馒头为研究对象,测定其甜蜜素的添加情况.结果:所建立的甜蜜素检测方法在 2.0～200.0 ng·mL-1 线性良好,相关系数r=0.999 9.在馒头样品中添加10.0 ng·mL-1、20.0 ng·mL-1、100.0 ng·mL-13个浓度水平,加标回收率为 105.36%～110.86%,相对标准偏差为 1.01%～2.31%.购自超市的 20 份馒头样品,甜蜜素检出率为 0;购自早餐店的 30 份馒头样品,甜蜜素检出率 23.33%,最高检出值 1.665 8 g·kg-1.结论:优化后的方法能准确、高效地测定馒头中甜蜜素,检测结果说明市售馒头生产加工过程中存在违规使用甜蜜素情况.
Abstract
Objective:The content of sodium cyclamate in steamed bread was determined by liquid chromatography-mass spectrometry,and the addition of sodium cyclamate in steamed bread on the market was investigated and analyzed to open up a path for market supervision.Method:Optimizing the conditions of flow phase and sample pretreatment to establish a method for the determination of sodium cyclamate in steamed bread by LC-MS.Taking steamed bread from supermarket and breakfast shop as the research object to analyze the sodium cyclamate content by the constructed method.Result:The linearity of sodium cyclamate was good in the range of 2.0～200.0 ng·mL-1,and the correlation coefficient was r=0.999 9.At three spiked concentration levels of 10.0 ng·mL-1,20.0 ng·mL-1,100.0 ng·mL-1 in steamed bread,the recoveries of sodium cyclamate were 105.36%～110.86%,and the relative standard deviation were 1.01%～2.31%.The result shows the sodium cyclamate was not detected in the 20 steamed bread purchased by the supermarket.The detection rate of sodium cyclamate was 23.33%in the 30 steamed bread purchased by the breakfast shop,the maximum detection concentration was 1.665 8 g·kg-1.Conclusion:The optimized method is accurate and efficient,and some producers use cyclamate in violation of regulations in the production and processing of steamed bread.
关键词
甜蜜素/馒头/液相色谱质谱法Key words
sodium cyclamate/steamed bread/liquid chromatography-mass spectrometry引用本文复制引用
出版年
2024
NETL
NSTL
万方数据