Yang San-Dong, Tang Tao, Tan Yi-Meng, Wang Feng-Yun, Zhang Wei-Bing, Li Tong, Xia Ming-Zhu
1School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing, 210094 China.
Liaoning Engineering Research Center of Dalian Elite Analytical Instruments, Dalian, 116023 China.
J Food Sci Technol. 2019 Jan;56(1):428-435. doi: 10.1007/s13197-018-3504-4. Epub 2018 Dec 4.
A simple, rapid and low-cost determination method of benzo()pyrene in fried and baked foods was proposed by high performance liquid chromatography combined with vesicular coacervative supramolecular solvent (SUPRAS) extraction. The vesicular coacervate was composed of 1-octanol and tetrabutylammonium bromide. 200 mg of dried samples with 600 μL SUPRAS could be mixed to extract benzo()pyrene. Neither evaporation nor further clean-up steps for the extracts were needed. The overall sample treatment took approximately 30 min, and several samples could be simultaneously treated using conventional lab equipment. Then, benzo()pyrene was analyzed via liquid chromatography-fluorescence detection. Parameters affecting the extraction efficiency were investigated and optimized. The results showed good linearity of benzo()pyrene with the coefficients of determination ( ) of more than 0.9999 in the range of 0.1-50.0 µg/kg. The limit of detection of the method was 0.11 µg/kg. Recoveries for spiked samples in the range of 1-10 µg/kg were between 89.86 and 100.01%, with relative standard deviations from 1.20 to 3.20%. Benzo()pyrene was present in food samples (including instant noodles, biscuits, rice crust and fried bread stick) at concentrations in the range of 0.08-0.39 µg/kg according to the proposed method. The proposed pretreatment method significantly reduces the analysis time. Furthermore, the solventless approach is in accordance with the green chemistry development trend and has significant application prospects.
提出了一种采用高效液相色谱结合囊泡凝聚超分子溶剂（SUPRAS）萃取法，用于简单、快速且低成本测定油炸和烘焙食品中苯并（α）芘的方法。囊泡凝聚物由1-辛醇和溴化四丁铵组成。将200mg干燥样品与600μL SUPRAS混合，即可萃取苯并（α）芘。萃取液无需蒸发或进一步净化步骤。整个样品处理过程约需30分钟，使用常规实验室设备可同时处理多个样品。然后，通过液相色谱-荧光检测法分析苯并（α）芘。研究并优化了影响萃取效率的参数。结果表明，苯并（α）芘在0.1-50.0μg/kg范围内具有良好的线性，测定系数（R²）大于0.9999。该方法的检测限为0.11μg/kg。加标样品在1-10μg/kg范围内的回收率为89.86%-100.01%，相对标准偏差为1.20%-3.20%。根据所提出的方法，食品样品（包括方便面、饼干、锅巴和油条）中苯并（α）芘的浓度范围为0.08-0.39μg/kg。所提出的预处理方法显著缩短了分析时间。此外，无溶剂方法符合绿色化学发展趋势，具有显著的应用前景。
