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Development and validation of an improved method for the determination of chloropropanols in paperboard food packaging by GC-MS

机译:气相色谱-质谱法测定纸板食品包装中氯丙醇的改进方法的开发和验证

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The objective of this study was to develop an improved analytical method for the determination of 3-chloro-1,2-propanediol (3-MCPD) and 1,3-dichloropropanol (1,3-DCP) in paper-type food packaging. The established method includes aqueous extraction, matrix spiking of a deuterated surrogate internal standard (3-MCPD-d_5), clean-up using Extrelut™ solid-phase extraction, derivatisation using a silylation reagent, and GC-MS analysis of the chloropropanols as their corresponding trimethyl silyl ethers. The new method is applicable to food-grade packaging samples using European Commission standard aqueous extraction and aqueous food stimulant migration tests. In this improved method, the derivatisation procedure was optimised; the cost and time of the analysis were reduced by using 10 times less sample, solvents and reagents than in previously described methods. Overall the validation data demonstrate that the method is precise and reliable. The limit of detection (LOD) of the aqueous extract was 0.010 mg kg~(-1) (w/w) for both 3-MCPD and 1,3-DCP. Analytical precision had a relative standard deviation (RSD) of 3.36% for 3-MCPD and an RSD of 7.65% for 1,3-DCP. The new method was satisfactorily applied to the analysis of over 100 commercial paperboard packaging samples. The data are being used to guide the product development of a next generation of wet-strength resins with reduced chloropropanol content, and also for risk assessments to calculate the virtual safe dose (VSD).
机译:这项研究的目的是开发一种改进的分析方法,用于测定纸质食品包装中的3-氯-1,2-丙二醇(3-MCPD)和1,3-二氯丙醇(1,3-DCP)。建立的方法包括水萃取,氘代替代内标(3-MCPD-d_5)的基质加标,使用Extrelut™固相萃取的净化,使用甲硅烷基化试剂的衍生化以及对氯丙醇进行GC-MS分析相应的三甲基甲硅烷基醚。该新方法适用于使用欧盟委员会标准的水提取液和水刺激食品迁移试验的食品级包装样品。在这种改进的方法中,对衍生化过程进行了优化。通过使用比先前描述的方法少10倍的样品,溶剂和试剂,减少了分析的成本和时间。总体而言,验证数据表明该方法准确可靠。对于3-MCPD和1,3-DCP,水提取物的检出限(LOD)均为0.010 mg kg·(-1)(w / w)。 3-MCPD的分析精度相对标准偏差(RSD)为3.36%,而1,3-DCP的RSD为7.65%。新方法令人满意地应用于100多种商业纸板包装样品的分析。该数据将用于指导下一代氯丙醇含量降低的湿强度树脂的产品开发,并用于风险评估以计算虚拟安全剂量(VSD)。

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