Determination of acrylamide in Chinese traditional carbohydrate-rich foods using gas chromatography with micro-electron capture detector and isotope dilution liquid chromatography combined with electr
- 作者：Yu Zhang ; Yiping Ren ; Hangmei Zhao ; Ying Zhang
- 关键词：Acrylamide ; Chinese traditional carbohydrate-rich foods ; Micro-electron capture detection ; Liquid chromatography tandem mass spectrometry
- 刊名：Analytica Chimica Acta
- 出版年：2007
- 期刊代码：2_00032670
- 类别：ch
- 出版时间：19 February 2007
- 卷：584
- 期：2
- 页码：322-332
- 文件大小：473 K
摘要
The present study developed two analytical methods for quantification of acrylamide in complex food matrixes, such as Chinese traditional carbohydrate-rich foods. One is based on derivatization with potassium bromate and potassium bromide without clean-up prior to gas chromatography with micro-electron capture detector (GC-MECD). Alternatively, the underivatized acrylamide was detected by high-performance liquid chromatography coupled to quadrupole tandem mass spectrometry (HPLC-MS/MS) in the positive electrospray ionization mode. For both methods, the Chinese carbohydrate-rich samples were homogenized, defatted with petroleum ether and extracted with aqueous solution of sodium chloride. Recovery rates for acrylamide from spiked Chinese style foods with the spiking level of 50, 500 and 1000 μg kg−1 were in the range of 79–93%for the GC-MECD including derivatization and 84–97%for the HPLC-MS/MS method. Typical quantification limits of the HPLC-MSMS method were 4 μg kg−1 for acrylamide. The GC-MECD method achieved quantification limits of 10 μg kg−1 in Chinese style foods. Thirty-eight Chinese traditional foods purchased from different manufacturers were analyzed and compared with four Western style foods. Acrylamide contaminant was found in all of samples at the concentration up to 771.1 and 734.5 μg kg−1 detected by the GC and HPLC method, respectively. The concentrations determined with the two different quantitative methods corresponded well with each other. A convenient and fast pretreatment procedure will be optimized in order to satisfy further investigation of hundreds of samples.