The Mass Spectrometry society of Japan - The 68th Annual Conference on Mass Spectrometry, Japan
Japanese

Abstract

Table of contents

Timetable

Plenary Lectures

Award Lecture

Oral Sessions (Day1, Day2, Day3)

Poster Presentations (Day1, Day2, Day3)

Panel Discussion

Luncheon Seminars (Day1, Day2, Day3)

Corporate Program

Poster Presentations

Day 3, June 24（Fri.）　　Room P (501, 502 and 503)

3P-04　　PDF

Improvement in the compositional formula estimation by integration of DDA data

(1Osaka Univ., 2Osaka Univ., 3Osaka Univ.)
oFumio Matsuda1,2,3, Shuka Komori1, Daiki Hara1, Yuki Yamada1, Nobuyuki Okahashi1,2,3

This study investigated a method to reduce the number of estimated compositional formula by averaging or integrating product ion spectral data commonly observed among multiple DDA data to improve the accuracy of m/z measurements. The pilot analysis using a yeast lipidomics dataset showed that the mean number of candidate compositional formulas before and after averaging were 9.4 and 1.5, respectively.