刘方征,陈晨,王宗义,张丽萍,吴建欣,王玉纯,何世慧.溶剂提取/水蒸气蒸馏-分散液液微萃取-稳定同位素稀释-GC-MS/MS测定咸鱼中的挥发性亚硝胺[J].食品安全质量检测学报,2024,15(20):271-278 |
溶剂提取/水蒸气蒸馏-分散液液微萃取-稳定同位素稀释-GC-MS/MS测定咸鱼中的挥发性亚硝胺 |
Determination of volatile nitrosamines in salted fish by stable isotope dilution-gas chromatography-tandem mass spectrometry with solvent extraction/steam distillation connecting with dispersion liquid-liquid microextraction |
投稿时间:2024-07-23 修订日期:2024-10-04 |
DOI: |
中文关键词: 挥发性亚硝胺 组合式经典样品前处理 咸鱼 气相色谱-串联质谱法 |
英文关键词:volatile N-nitrosamines combing classic sample Pretreatments salted fish gas chromatography-tandem mass spectrometry |
基金项目:北京市教委-北京农学院都市农林学交叉学科平台建设项目(2023) |
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Author | Institution |
LIU Fang-Zheng | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
CHEN Chen | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
WANG Zhong-Yi | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
ZHANG Li-Ping | National Research Center for Enviromental Analysis and Measurement |
WU Jian-Xin | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
WANG Yu-Chun | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
HE Shi Hui | Beijing Laboratory of Food Quality and Safety,Beijing Key Laboratory of Agricultural Product Detection and Control for Spoilage Organisms and Pesticides,College of Food Sciences and Engineering,Beijing University of Agriculture |
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中文摘要: |
目的 建立溶剂提取(SE)、水蒸气蒸馏(SD)分别与分散液液微萃取(DLLME)有效组合,进行样品前处理,稳定同位素稀释气相色谱-串联质谱法(GC-MS/MS)快筛和定量咸鱼中挥发性亚硝胺(VNA)的新方法。方法 样品加入9种VNA稳定同位素标记物,分别进行SE(甲醇-水为溶剂)和SD处理,提取液和蒸馏液分别进行DLLME,以GC-MS/MS多反应监测(MRM)模式进行检测。结果 方法在1-100 ng/mL范围内各VNA线性良好,R2为0.9920-0.9999;SE-DLLME处理简便快速,二甲基亚硝基胺(NDMA)检出限(LOD)为0.79 μg/kg、定量限(LOQ)为2.63 μg/kg,其他VNA的LOD为0.03 – 0.43 μg/kg、LOQ为0.10 – 1.44 μg/kg,可满足咸鱼中VNA合格性快筛的需要;SD -DLLME处理,NDMA的LOD为0.06 μg/kg、LOQ为0.21 μg/kg,其他VNA的LOD为0.01 – 0.40 μg/kg、LOQ为0.03– 1.30 μg/kg,可满足关注浓度以下VNA定量检测的需要;方法总体加标回收率分别为89.81%~105.10%,相对标准偏差(RSDs)为2.70%~7.30%。结论 该方法样品处理成本低廉,准确性好,为咸鱼VNA的合格性快筛和低含量水平试样的定量提供了有价值的参考方法。 |
英文摘要: |
Objective To establish a new screening and quantifying method for determination of volatile N-nitrosamines (VNA) in salted fishes with isotope dilution gas chromatography-tandem mass spectrometry(GC-MS/MS)and combing the classic solvent extraction(SE)and steam distillation (SD) to dispersing liquid-liquid microextraction (DLLME) respectively. Method The samples were fortified with stable isotope labelled analytes, and extracted homogeneously with SE using methanol-water solution as solvent and SD respectively, then with DLLME enrichment and purification for both the extracting solutions and the VNAs were analyzed by GC-MS/MS with multi-reaction monitoring (MRM) mode. Results Good linearity for each VNA was obtained within the range of 1-100 ng/mL, R2 were ranging from 0.9920 to 0.9999. With SE-DLLME, the limits of detection (LOD) and limit of quantification (LOQ) were 0.79 μg/kg and 2.63 μg/kg respectively for dimethylnitrosamine (NDMA); LODs were 0.03-0.43 μg/kg and LOQs were 0.10-1.44μg/kg for other VNAs; the qualification fast screening can be met with this combined sample pretreatment. With SD-DLLME,the LOD and LOQ were 0.06 μg/kg and 0.21 μg/kg respectively for NDMA; LODs were 0.01-0.40 μg/kg and LOQs were 0.03-1.30 μg/kg for other VNAs; quantification for the samples with VNAs concentrations below the concerning concentration with this combined sample pretreatment. Overall recoveries were 89.81%~105.10% with relative standard deviations (RSDs) ranging from 2.70% to 7.30%. Conclusion This method was low cost, accurate and provides a valuable reference for monitoring the VNA risk of salted fish. |
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