自动顶空-气相色谱-质谱联用法检测食品纸包装材料中9种烯烃类化合物

目的建立自动顶空-气相色谱-质谱联用法（head space-gas chromatography-mass spectrometry,HS-GC-MS）检测食品纸包装材料中9种烯烃化合物（2-苯丙烯、苯丙烯、2-苯乙烯、二环[2,2,1]庚-2-烯、己烯、辛烯、异戊二烯、1,1-二氯乙烯和4-甲基-1-戊烯）的定性定量确证方法。方法样品在平衡温度为120℃,平衡时间为10 min的条件下自动顶空进样,经DB-624色谱柱分离,采用GC-MS选择离子扫描方式进行检测,以内标法定量。结果在优化的条件下,9种烯烃化合物在5-1000μg/kg范围内线性良好,相关系数（R-2）均大于0.999;方法...

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Published in食品安全质量检测学报 Vol. 7; no. 7; pp. 2878 - 2885
Main Author 何敏恒 林晓佳 严婉盈 蔡锦安 张瑞瑞 侯向昶 吴楚森
Format Journal Article
LanguageChinese
Published 广州质量监督检测研究院国家加工食品质量监督检验中心(广州),广州,511447 2016
Subjects
气相色谱-质谱联用法
链烯烃类化合物
顶空
食品纸包装材料
气相色谱-质谱联用法
food paper package
gas chromatography-mass spectrometry
链烯烃类化合物
顶空
食品纸包装材料
headspace
alkene compounds
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Summary:目的建立自动顶空-气相色谱-质谱联用法（head space-gas chromatography-mass spectrometry,HS-GC-MS）检测食品纸包装材料中9种烯烃化合物（2-苯丙烯、苯丙烯、2-苯乙烯、二环[2,2,1]庚-2-烯、己烯、辛烯、异戊二烯、1,1-二氯乙烯和4-甲基-1-戊烯）的定性定量确证方法。方法样品在平衡温度为120℃,平衡时间为10 min的条件下自动顶空进样,经DB-624色谱柱分离,采用GC-MS选择离子扫描方式进行检测,以内标法定量。结果在优化的条件下,9种烯烃化合物在5-1000μg/kg范围内线性良好,相关系数（R-2）均大于0.999;方法定量限为20-40μg/kg;方法的回收率在93.5%-103.0%之间,相对标准偏差为2.3%-5.1%（n=6）。结论该方法简便准确,灵敏度高,重现性好,可满足食品纸包装材料中9种烯烃化合物检测的要求。
Bibliography:food paper package; alkene compounds; gas chromatography-mass spectrometry ; headspace
Objective To establish a method for the determination of 9 kinds of alkene compounds including 2-Phenyl-l-propene, allyl benzene, styrene, norbornylene, 1-Hexene, 1-octene, isoprene, 1,1-Dichlorethen and 4-methyl-l-pentene in food paper package by headspace-gas chromatography-mass spectrometry （HS-GC-MS）. Methods The samples were balanced at 120 ℃ for 10 min for automatic headspace sampling, separated by DB-624 column, and determined by GC-MS with selective ion monitoring （SIM） mode, and then quantified with internal standard method. Results Under optimized conditions, 9 kinds of alkene compounds had good linear relationships in the range of 5-1000 pg/kg with the correlation coefficients greater than 0.999. The limits of quantification （LOQ） were in the range of 20-40 μg/kg. The recoveries were 93.5%-103.0% with the relative standard deviations of 2.3%-5.1% （n=6）. Conclusion The method is simple, accurate, sensitive and repe
ISSN:2095-0381