Jia Jing, Zhang Wei, Wang Jing, Wang Peilong, Zhu Ruohua
Department of Chemistry, Capital Normal University, Beijing, China.
Key Laboratory of Agrifood Safety and Quality, Ministry of Agriculture, Beijing, P.R. China; Institute of Quality Standards and Testing Technology for Agriculture Products, China Agricultural Academy of Science, Beijing, P.R. China.
PLoS One. 2014 Sep 12;9(9):e107147. doi: 10.1371/journal.pone.0107147. eCollection 2014.
Carboxymethyl α-cyclodextrin immobilized Fe3O4 magnetic nanoparticles (CM-α-CD-Fe3O4) were synthesized for the selectively adsorptive extraction of five phenylarsonic acids including p-amino phenylarsonic acid, p-nitro phenylarsonic acid, p-hydroxy phenylarsonic acid, p-acylamino phenylarsonic acid and p-hydroxy-3-nitro phenylarsonic acid in chicken tissue. Using ultra performance liquid chromatography coupled with tandem mass spectrometry (UPLC-MS/MS), a highly sensitive analytical method was proposed for the determination of five phenylarsonic acids. It was shown that CM-α-CD-Fe3O4 could extract the five phenylarsonic acids in complex chicken tissue samples with high extraction efficiency. Under the optimal conditions, a high enrichment factor, ranging from 349 to 606 fold, was obtained. The limits of detection (LODs) (at a signal-to-noise ratio of 3) were in the range of 0.05-0.11 µg/kg for the five phenylarsonic acids. The proposed method was applied for the determination of five target phenylarsonic acids in chicken muscle and liver samples. Recoveries for the spiked samples with 0.2 µg/kg, 2.0 µg/kg and 20 µg/kg of each phenylarsonic acids were in the range of 77.2%-110.2%, with a relative standard deviation (RSD) of less than 12.5%.
合成了羧甲基α-环糊精固定化Fe3O4磁性纳米粒子(CM-α-CD-Fe3O4),用于选择性吸附萃取鸡肉组织中的对氨基苯胂酸、对硝基苯胂酸、对羟基苯胂酸、对酰氨基苯胂酸和对羟基-3-硝基苯胂酸这五种苯胂酸。采用超高效液相色谱-串联质谱法(UPLC-MS/MS),建立了一种高灵敏度的分析方法来测定这五种苯胂酸。结果表明,CM-α-CD-Fe3O4能够高效萃取复杂鸡肉组织样品中的五种苯胂酸。在最佳条件下,获得了349至606倍的高富集因子。五种苯胂酸的检测限(信噪比为3时)在0.05-0.11 μg/kg范围内。该方法应用于鸡肉肌肉和肝脏样品中五种目标苯胂酸的测定。添加浓度为0.2 μg/kg、2.0 μg/kg和20 μg/kg的各苯胂酸的加标样品回收率在77.2%-110.2%之间,相对标准偏差(RSD)小于12.5%。