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采用聚合离子液体涂覆的固相微萃取纤维萃取-气相色谱-质谱联用测定巴西莓食品中 2-甲基咪唑和 4-甲基咪唑

Multivariate optimization for extraction of 2-methylimidazole and 4-methylimidazole from açaí-based food products using polymeric ionic liquid-based sorbent coatings in solid-phase microextraction coupled to gas chromatography-mass spectrometry.

机构信息

Department of Food Science and Nutrition, School of Food Engineering, University of Campinas (UNICAMP), Rua Monteiro Lobato, 80, 13083-862, Campinas, SP, Brazil; Department of Chemistry, Iowa State University, 2415 Osborn Drive, Ames, IA 50011, USA.

Department of Chemistry, Iowa State University, 2415 Osborn Drive, Ames, IA 50011, USA.

出版信息

Food Chem. 2024 Jun 30;444:138593. doi: 10.1016/j.foodchem.2024.138593. Epub 2024 Feb 1.

Abstract

In this study, polymeric ionic liquids featuring different functional moieties were applied as sorbent coatings in direct-immersion solid-phase microextraction (DI-SPME) for the extraction of 2-methylimidazole (2-MI) and 4-methylimidazole (4-MI) from açaí-based food products followed by gas chromatography-mass spectrometry (GC-MS) analysis. The analytical method was optimized using a sequential experimental design. Variables used in GC-MS such as desorption time, as well as for SPME-DI, including extraction time, extraction temperature, incubation time of extraction, amount of NaCl in the extract, and stirring rate, were optimized. The fitness-for-purpose of the method was verified by the linearity of matrix-matched calibration curves (R ≥ 0.9921), adequate recoveries (81.7-89.7 %), and precision (relative standard deviations ≤11.2 %). The method was applied to twenty-five samples of açaí-based food products. 4-MI was found in four samples whereas 2-MI was not detected above the limit of detection. The method was found to be suitable for quality control analysis.

摘要

在这项研究中,采用了具有不同官能团的聚合离子液体作为吸附涂层,用于直接浸入式固相微萃取(DI-SPME),从基于 acai 的食品中提取 2-甲基咪唑(2-MI)和 4-甲基咪唑(4-MI),然后进行气相色谱-质谱(GC-MS)分析。该分析方法采用序贯实验设计进行了优化。GC-MS 中使用的变量,如解吸时间,以及 SPME-DI 中的变量,包括提取时间、提取温度、提取的孵育时间、提取液中的 NaCl 量和搅拌速度,都进行了优化。通过基质匹配校准曲线的线性度(R≥0.9921)、适当的回收率(81.7-89.7%)和精密度(相对标准偏差≤11.2%)验证了方法的适用性。该方法应用于 25 个基于 acai 的食品样品。在四个样品中发现了 4-MI,而 2-MI 未检出超过检出限。该方法被发现适合质量控制分析。

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