演題概要

オーラルセッション

第1日 6月17日(水) 17:20~17:40 C会場(101)

化合物データベースを利用する解析ツールを用いた環境中人為物質の同定

(1大阪市環科研2関大化学生命工)
o山本敦史1,2川崎英也2荒川隆一2

Two automated methods, MetFrag/MetFusion and MAGMa, for accurate mass spectral data interpretation were applied to substance identification in the environmental matrices. Both methods made a good showing. MetFrag and MAGMa retrieved averages of 405 and 1131 candidate compounds per query, respectively. MetFrag and MAGMa returned the correct molecular structures with median ranks of 5 and 3.5, respectively. MAGMa had a higher probability that the candidates included the correct answer than that of MetFrag. In both methods, even rank 1 often included many candidates with an identical score. The automated methods could be a valuable help to shorten the amount of time for substance identification.