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-38（2B-O5-0930）　　PDF

Identification of Solid-Derived Fungal Species in an Invisible Stage by Multivariate Analysis of Ion Mobility Spectra and GCMS Data of Microbial Volatile Organic Compounds (MVOC) II.

(1Nara Women's Univ., 2Nara Women's Univ.)
oAkika Oshiro1, Takae Takeuchi1,2

Microbial contamination often causes serious damage to cultural properties. It is imperative to develop an instrument which can detect the activation of fungi at an invisible stage before damage occurs. Software for fungal species identification based on multivariate statistical analysis of IMS and GC-MS spectral data of MVOC, named MVOC Finder, was created and released by T. Takeuchi and colleagues as open source software. MVOC finder is validated by the Receiver Operating Characteristic Curve (ROC). In this paper, we will show the advantages in detection of invisible fungi of MVOC finder, which applies partial least square regression (PLS), over principal component analysis (PCA).