Time-saving and accurate analysis of BaP, BaA, Chr and BbF in milks and oils by three-way fluorescence spectrometry.
Time-saving and accurate analysis of BaP, BaA, Chr and BbF in milks and oils by three-way fluorescence spectrometry.
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DOI：
10.1016/j.foodchem.2022.132309
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发表时间：
2022-02
期刊：
影响因子：
8.8
通讯作者：
Limin Zhang;Shimin Wu
中科院分区：
文献类型：
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作者：
Limin Zhang;Shimin Wu
四种臭名昭著的致癌物多环芳烃（苯并[a]芘、苯并[a]蒽、屈和苯并[b]荧蒽）在食品中统称为PAH4。本研究首次采用三向荧光光谱法结合二阶校准来检测牛奶和植物油中的 PAH4。建立了基于交替三线性分解(ATLD)法的PAH4定量分析模型。验证并比较了平行因子分析（PARAFAC）和ATLD的可行性。 PARAFAC 在 0.25–0.65 µg L−1 处获得最佳 LOD，在 5–13 µg−1L 处获得最佳分析灵敏度。 ATLD 算法在牛奶样品中的预测误差最低为 9.1-16.7%。这两个模型成功应用于 15 种牛奶和 6 种植物油中的 PAH4 分析，表明牛奶中 PAH4 的浓度分别为 0.65–4.31 µg L−1，油中 PAH4 的浓度分别为 6.10–11.68 µg L−1。与色谱法相比，使用所提出的方法大大减少了分析时间和溶剂消耗。
Four notorious carcinogens polycyclic aromatic hydrocarbons (benzo[a]pyrene, benz[a]anthracene, chrysene, and benzo[b]fluoranthene), were collectively referred to as PAH4 in food. Three-way fluorescence spectrometry coupled with second-order calibration was first used to detect PAH4 in milks and vegetable oils in this study. The quantitative analysis model of PAH4 based on alternating trilinear decomposition (ATLD) method was established. The feasibilities of parallel factor analysis (PARAFAC) and ATLD were validated and compared. PARAFAC obtained the best LOD at 0.25–0.65 μg L−1and analytical sensitivity at 5–13 μg−1L. ATLD algorithm showed lowest prediction errors at 9.1–16.7% in milk samples. The two models were successfully applied to the PAH4 analysis in 15 milks and six vegetable oils, indicating the concentrations of PAH4 were 0.65–4.31 μg L−1in milks and 6.10–11.68 μg L−1in oils, respectively. Compared with chromatography, analysis time and solvent consumption were considerably reduced by using the proposed method.