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

Abstract

Table of contents

Timetable

Plenary Lectures

Oral Sessions (Day1, Day2, Day3)

Poster Presentations (Day1, Day2, Day3)

Workshops

Luncheon Seminars (Day1, Day2, Day3)

Poster Presentations

Day 2, May 12（Tue.）　　Poster (1008/09)

2P-19　　PDF

Classification of pesticides amenability between LC or GC by 119 machine learning methods using the dataset of residual pesticides in foods of Japan Positive List

(1Agilent, 2NAIST)
oTakeshi Serino1,2, Yoshizumi Takigawa1, Sadao Nakamura1, Shigehiko Kanaya2

119 machine learning methods to classify pesticides between LC-amenable or GC-amenable are evaluated using the results of analytical method validation tests by MHLW (Ministry of Health, Labour and Welfare) for residual pesticides in foods for Japan Positive List.