Exploration of a modified pretreatment process coupled with GC-MS/MS for determination of 18 phthalates in edible oils†

IF 2.7 3区 化学 Q2 CHEMISTRY, ANALYTICAL
Pei-Jin Wang, Long-Fei Lin, Yu-Jie Wu, Tian-Rong Guo, Quan-Wei Xiao and Wen-Lin Wu
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引用次数: 0

Abstract

Phthalates (PAEs), which are pollutants that most easily migrate from plastic packages to edible oils, have received increasing attention. In this work, a sample preconditioning method was proposed and explored, involving a single-step extraction using a methanol and ethyl hexanoate mixed solvent, followed by clean-up with a mixed absorbent of graphitic carbon nitride (g-C3N4) and N-propyl ethylenediamine (PSA), for the determination of 18 PAEs in oil samples through GC-MS/MS analysis. The triazine ring structure and conjugated aromatic heterocyclic accumulation structure of g-C3N4 and the amino-rich structure of PSA can provide hydrogen bonds, conjugated π–π interactions, and hydrophobic effects for the removal of interferences such as organic acids, aliphatic acids, and pigments. To achieve optimal analytical performance, key extraction and purification parameters that may affect the pretreatment efficiency—such as the extraction solution, its volume ratio, extraction temperature, extraction time, and the amount of the clean-up absorbent—were systematically explored and optimized. When applied to edible oil analysis, an excellent linear range from 0.2 to 8.0 mg kg−1 with a preferable coefficient of determination (R2 > 0.9989) and satisfactory sensitivity (LOD and LOQ ranging from 0.0002 mg kg−1 to 0.08 mg kg−1 and 0.0004 mg kg−1 to 0.2 mg kg−1, respectively) were obtained. Moreover, a relatively satisfactory recovery varying from 71.4% to 107.9% and the corresponding repeatability ranging from 0.3% to 6.8% were acquired. Furthermore, this work offers a new idea for exploring the application of novel nanocomposites in the pretreatment process.

Abstract Image

改良前处理-气相色谱-质谱联用法测定食用油中18种邻苯二甲酸酯的研究
邻苯二甲酸酯(PAEs)是一种最容易从塑料包装转移到食用油中的污染物,越来越受到人们的关注。本研究提出并探索了一种样品预处理方法,即使用甲醇和己酸乙酯混合溶剂进行一步提取,然后使用氮化石墨碳(g-C3N4)和n-丙基乙二胺(PSA)混合吸收剂进行清理,通过GC-MS/MS分析测定油样中的18种PAEs。g-C3N4的三嗪环结构和共轭芳杂环积累结构以及PSA的富氨基结构可以提供氢键、共轭π-π相互作用和疏水效应,以去除有机酸、脂肪酸和色素等干扰。为了达到最佳的分析性能,系统地探索和优化了可能影响预处理效率的关键提取和纯化参数,如提取液、体积比、提取温度、提取时间和净化吸收剂的用量。应用于食用油分析,得到0.2 ~ 8.0 mg kg-1的良好线性范围,较好的测定系数(R2 > 0.9989)和满意的灵敏度(LOD和LOQ分别为0.0002 ~ 0.08 mg kg-1和0.0004 mg kg-1 ~ 0.2 mg kg-1)。回收率为71.4% ~ 107.9%,重复性为0.3% ~ 6.8%。此外,本研究为探索新型纳米复合材料在预处理工艺中的应用提供了新的思路。
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来源期刊
Analytical Methods
Analytical Methods CHEMISTRY, ANALYTICAL-FOOD SCIENCE & TECHNOLOGY
CiteScore
5.10
自引率
3.20%
发文量
569
审稿时长
1.8 months
期刊介绍: Early applied demonstrations of new analytical methods with clear societal impact
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