XIA Ning, SHI Yan-guo, Wu yong-qing, ZHANG Hua-jiang. Optimization of headspace solid phase microextraction conditions for GC-MS analysis of volatile components in soymilk[J]. Science and Technology of Food Industry, 2018, 39(1): 262-266. DOI: 10.13386/j.issn1002-0306.2018.01.047
Citation: XIA Ning, SHI Yan-guo, Wu yong-qing, ZHANG Hua-jiang. Optimization of headspace solid phase microextraction conditions for GC-MS analysis of volatile components in soymilk[J]. Science and Technology of Food Industry, 2018, 39(1): 262-266. DOI: 10.13386/j.issn1002-0306.2018.01.047

Optimization of headspace solid phase microextraction conditions for GC-MS analysis of volatile components in soymilk

  • The volatile components of soybean milk were analyzed by Headspace solid phase microextraction(HS-SPME)coupled with gas chromatography-mass spectrometry(GC-MS). The key factors affecting the headspace solid phase microextraction——the effects of salt concentration, stirring rate, extraction temperature, extraction time, and desorption time on the extraction efficiency were analyzed to get the optimum extration conditon.The results showed that the optimum conditions of volatile components in soybean milk by headspace solid phase microextraction were adding the 0.5 g NaCl to 5 mL soymilk, using DVB/CAR/PDMS-50/30 μm extraction fiber, adsorbing while stirring at the speed of 600 r/min, stirring and absorbing simultaneously, absorbing 30 min under the condition of the extraction temperature of 40℃, and then desorbing 9 min at the GC inlet at 250℃。Under the conditions of extraction, 23 kinds of volatile components were extracted from soybean milk by using headspace solid phase microextraction, accounting for 90.48% of the total peak area. There were 10 kinds of aldehydes, 5 kinds of alcohols, 3 kinds of ketones, 2 kinds of furan, 1 kinds of esters, and other 2 kinds.
  • loading

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return