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采用 D-最优设计和三通道校准优化衍生化反应和固相微萃取条件,并用气相色谱-质谱法测定牛奶中的非甾体抗炎药。

Optimization of the derivatization reaction and the solid-phase microextraction conditions using a D-optimal design and three-way calibration in the determination of non-steroidal anti-inflammatory drugs in bovine milk by gas chromatography-mass spectrometry.

机构信息

Department of Chemistry, Faculty of Sciences, University of Burgos, Burgos, Spain.

出版信息

J Chromatogr A. 2011 Jul 15;1218(28):4487-97. doi: 10.1016/j.chroma.2011.05.010. Epub 2011 May 13.

DOI:10.1016/j.chroma.2011.05.010
PMID:21636091
Abstract

An experimental design optimization is reported of an analytical procedure used in the simultaneous determination of seven non-steroidal anti-inflammatory drugs (NSAIDs) in bovine milk by gas chromatography with mass spectrometry detection (GC-MS). This analytical procedure involves a solid-phase microextraction (SPME) step and an aqueous derivatization procedure of the NSAIDs to ethyl esters in bovine milk. The following NSAIDs are studied: ibuprofen (IBP), naproxen (NPX), ketoprofen (KPF), diclofenac (DCF), flufenamic acid (FLF), tolfenamic acid (TLF) and meclofenamic acid (MCL). Three kinds of SPME fibers - polyacrylate (PA), polydimethylsiloxane/divinylbenzene (PDMS/DVB) and polydimethylsiloxane (PDMS) - are compared to identify the most suitable one for the extraction process, on the basis of two steps: to determine the equilibrium time of each fiber and to select the fiber that provides the best figures-of-merit values calculated with three-way PARAFAC-based calibration models at the equilibrium time. The best results were obtained with the PDMS fiber. Subsequently, 8 experimental factors (related to the derivatization reaction and the SPME) were optimized by means of a D-optimal design that involves only 14 rather than 512 experiments in the complete factorial design. The responses used in the design are the sample mode loadings of the PARAFAC decomposition which are related to the quantity of each NSAID that is extracted in the experiment. Owing to the fact that each analyte is unequivocally identified in the PARAFAC decomposition, a calibration model is not needed for each experimental condition. The procedure fulfils the performance requirements for a confirmatory method established in European Commission Decision 2002/657/EC.

摘要

本文报道了一种分析方法的实验设计优化,该方法用于通过气相色谱-质谱联用(GC-MS)同时测定牛奶中的七种非甾体抗炎药(NSAIDs)。该分析方法涉及固相微萃取(SPME)步骤和牛奶中 NSAIDs 的水相衍生化程序,生成乙基酯。研究的 NSAIDs 包括布洛芬(IBP)、萘普生(NPX)、酮洛芬(KPF)、双氯芬酸(DCF)、氟芬那酸(FLF)、托芬那酸(TLF)和甲氯芬那酸(MCL)。比较了三种 SPME 纤维-聚丙烯酸酯(PA)、聚二甲基硅氧烷/二乙烯基苯(PDMS/DVB)和聚二甲基硅氧烷(PDMS)-以确定最适合提取过程的纤维,这基于两个步骤:确定每种纤维的平衡时间,并选择在平衡时间下使用基于三向并行因子分析(PARAFAC)的校准模型计算得出最佳综合评价值的纤维。PDMS 纤维的结果最佳。随后,通过 D-最优设计优化了 8 个实验因素(与衍生化反应和 SPME 有关),该设计仅涉及 14 次实验,而不是完全析因设计中的 512 次实验。设计中使用的响应是 PARAFAC 分解的样品模式负荷,与实验中提取的每种 NSAID 的数量有关。由于每个分析物在 PARAFAC 分解中都被明确识别,因此不需要为每个实验条件建立校准模型。该程序满足欧洲委员会 2002/657/EC 号决定中建立的确认方法的性能要求。

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