Journal
JOURNAL OF FOOD SCIENCE
Volume 83, Issue 4, Pages 892-901Publisher
WILEY
DOI: 10.1111/1750-3841.14063
Keywords
content-color scale model; grain sorghum (GS); phthalate esters (PAEs); principal component analysis (PCA); QuEChERS
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Funding
- Natl. Natural Science Foundation of China [31601556]
- Science and Technology Projects of Sichuan Province of China [2017JZ0012]
- Natl. Key Research and Development Program of China [2016YFD0400501]
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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.
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