Abstract:This experiment was mainly focused on pyrolysis volatile components of theaquilaria, and the pyrolysis temperature was optimized using pyrolysis volatile component content as the indicator. PY-GC-MS was used to separate and detect the pyrolysis volatile components of the aquilaria online directly and the relative content of each chemical component in total pyrolysis components was determined by peak area normalization method. The results showed that there were less pyrolysis volatile components of the aquilaria at low temperature and higher pyrolysis products at high temperature, which may be due to the inadequate pyrolysis of aquilaria at low temperature and the pyrolysis of cellulose and lignin in aquilaria at high temperature. A total of 23 substances were identified (pyrolysis temperature: 220 ℃), of which the main components were aldehydes, acids and ketones. In addition, caffeine, 5-hydroxy-june-trimethyl-2,3-dimethyl ketone of primary colors, codeine, 3,5-dimethoxy-4-hydroxy cinnamic aldehyde and 2,6-dimethoxy-4-(2-allyl) phenol and other substances were quickly determined by PY-GC-MS . Consequently, PY-GC-MS could be used for online rapid detection and analysis of the pyrolysis volatile components in aquilaria, and pyrolysis temperature had a great influence on the components. The optimal pyrolysis temperature of aquilaria was 220 ℃ in.
