4.6 Article

Validation of a QuEChERS-Based Gas Chromatography-Mass Spectrometry (GC-MS) Method for Analysis of Phthalate Esters in Grain Sorghum

期刊

JOURNAL OF FOOD SCIENCE
卷 83, 期 4, 页码 892-901

出版社

WILEY
DOI: 10.1111/1750-3841.14063

关键词

content-color scale model; grain sorghum (GS); phthalate esters (PAEs); principal component analysis (PCA); QuEChERS

资金

  1. Natl. Natural Science Foundation of China [31601556]
  2. Science and Technology Projects of Sichuan Province of China [2017JZ0012]
  3. Natl. Key Research and Development Program of China [2016YFD0400501]

向作者/读者索取更多资源

A modified QuEChERS method coupled with gas chromatography-mass spectrometry (GC-MS) was developed for analysis of 14 phthalate esters (PAEs) in grain sorghum (GS). Chemical extraction was done with acetonitrile followed by dispersive-solid phase extraction technique with a mixture of sorbents including primary secondary amine and octadecyl silica. Under the optimized condition, the matrix-matched calibration curves for all PAEs showed good linear relationship in the concentration range between 5 and 500 mu g/L with correlation coefficients (R-2) better than 0.99. Mean recoveries were between 82.0% and 120.2% at spiking levels of 0.06, 0.6, and 2.0 mg/kg with RSD of 0.3% to 7.8% (n = 5) for intra-day precision and 1.2% to 7.6% (n = 5) for inter-day precision. The LODGS and LOQ(GS) for 14 PAEs were between 0.4 and 10.0 mu g/kg and 0.5 and 20.0 mu g/kg, respectively. Analysis of 32 commercial GS samples revealed that dimethyl-, diethyl-, diisobutyl-, dibutyl-, and di- (2-ethylhexyl) phthalate esters were detected in all of the analytes. In addition, content-color scale model was applied to visualize the concentration differences of PAEs in real GS samples. Principal component analysis of PAEs revealed that the GS samples did not have a distinctive cluster based on their geographic origins. The established method was proven to be simple, accurate, and effective for analysis of PAEs in GS, which might also be applied for analysis of PAEs in other matrices.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据