李文廷,赵 丽,师 真,张瑞雨,范忠吉,栾 杰.超高效液相色谱-串联质谱法测定食品中脱氧雪腐镰刀菌烯醇的方法优化[J].食品安全质量检测学报,2019,10(22):7558-7563
超高效液相色谱-串联质谱法测定食品中脱氧雪腐镰刀菌烯醇的方法优化
Optimization of determination of deoxynivalenol in foods by ultra performance liquid chromatography-tandem mass spectrometry
投稿时间:2019-08-21  修订日期:2019-11-01
DOI:
中文关键词:  脱氧雪腐镰刀菌烯醇  质控样  超高效液相色谱-串联质谱法
英文关键词:deoxynivalenol  quality control sample  ultra performance liquid chromatography-tandem mass spectrometry
基金项目:昆明市卫生科技人才培养项目暨“十百千”工程培养计划(2018-sw(后备)-20)、昆明市卫生计生科研项目(2017-12-06-003)
作者单位
李文廷 昆明市疾病预防控制中心 
赵 丽 昆明市疾病预防控制中心 
师 真 昆明市疾病预防控制中心 
张瑞雨 昆明市疾病预防控制中心 
范忠吉 大理大学公共卫生学院 
栾 杰 云南省疾病预防控制中心 
AuthorInstitution
LI Wen-Ting Kunming Center for Disease Control and Prevention 
ZHAO Li Kunming Center for Disease Control and Prevention 
SHI Zhen Kunming Center for Disease Control and Prevention 
ZHANG Rui-Yu Kunming Center for Disease Control and Prevention 
FAN Zhong-Ji School of Public Health, Dali University 
LUAN Jie Yunnan Center for Disease Control and Prevention 
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中文摘要:
      目的 优化超高效液相色谱-串联质谱法测定食品中脱氧雪腐镰刀菌烯醇含量的分析方法。方法 样品经粉碎匀质后, 采用70%乙腈-甲酸水溶液涡旋浸泡提取, 普瑞邦亲和柱净化, 以乙腈-0.05%氨水作为流动相, Waters BEH C18柱(2.1 mm×100 mm, 1.7 μm)进行色谱分离, 超高效液相色谱-串联质谱的多反应监测(multiple reaction monitoring, MRM)模式进行测定, 内标法定量。结果 脱氧雪腐镰刀菌烯醇在5.0~150.0 μg/L范围内具有良好的线性关系(r2=0.9995), 添加回收率为93.4%~101.6%, 相对标准偏差为1.41%~3.54%, 质控样检测值在参考值允许范围内(569±60) μg/kg, 具有较好的重现性和准确度。结论 本研究提升了脱氧雪腐镰刀菌烯醇的检测能力, 该方法准确、可靠、便捷, 可满足实验要求。
英文摘要:
      Objective To optimize the method for determination of deoxynivalenol in foods by ultra performance liquid chromatography-tandem mass spectrometry. Methods After crushing and homogenizing, the sample was extracted with 70% acetonitrile formic acid aqueous solution by vortex immersion and purified by PriboLab affinity column. The mobile phase was acetonitrile-0.05% ammonia. Waters BEH C18 (2.1 mm×100 mm, 1.7 μm) was used for chromatography separation. Then it was determined by ultra performance liquid chromatography-tandem mass spectrometry with multiple reaction monitoring mode and quantitative analyzed by internal standard method. Results Deoxynivalenol had a good linear relationship (r2=0.9995) in the concentration range of 5.0~150.0 μg/L. Addition recovery rate was 93.4%–101.6%, and relative standard deviation was 1.41%–3.54%. The control sample detection value has a good reproducibility and accuracy within the allowable range of reference values (569±60) μg/kg. Conclusion This study can improve the detection ability of deoxynivalenol. This method is accurate, reliable and convenient, and can meet the requirements of experiment.
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