Header

UZH-Logo

Maintenance Infos

Detection of fungal infection in Lolium perenne by Fourier transform infrared spectroscopy


Brandl, Helmut (2013). Detection of fungal infection in Lolium perenne by Fourier transform infrared spectroscopy. Journal of Plant Ecology, 6(4):265-269.

Abstract

Aims: The goal of the study was to apply Fourier transform infrared (FTIR) spectroscopy followed be chemometrical data treatment for the differentiation of fungi-infected perennial ryegrass (Lolium perenne) from non-infected grass.
Methods: FTIR was used to rapidly discriminate between leaves of perennial ryegrass (Lolium perenne) infected by a fungal endophyte (Epichloë; asexual forms: Neotyphodium) and uninfected leaves. Besides drying and grinding of the sampled leaves, no other preparation steps were needed. FTIR measurements were performed in the attenuated total reflection (ATR) mode. Aliquots of powdered leaf samples were placed on a ZnSe crystal and the spectra collected followed by chemometrical analysis (multidimensional factor analysis, hierarchical cluster analysis).
Important Findings: ATR-FTIR allowed a rapid detection of fungal infections in the plant material and proved to be a fast and reliable tool for the differentiation of the plant biomass without the need of time-consuming sample preparation.

Abstract

Aims: The goal of the study was to apply Fourier transform infrared (FTIR) spectroscopy followed be chemometrical data treatment for the differentiation of fungi-infected perennial ryegrass (Lolium perenne) from non-infected grass.
Methods: FTIR was used to rapidly discriminate between leaves of perennial ryegrass (Lolium perenne) infected by a fungal endophyte (Epichloë; asexual forms: Neotyphodium) and uninfected leaves. Besides drying and grinding of the sampled leaves, no other preparation steps were needed. FTIR measurements were performed in the attenuated total reflection (ATR) mode. Aliquots of powdered leaf samples were placed on a ZnSe crystal and the spectra collected followed by chemometrical analysis (multidimensional factor analysis, hierarchical cluster analysis).
Important Findings: ATR-FTIR allowed a rapid detection of fungal infections in the plant material and proved to be a fast and reliable tool for the differentiation of the plant biomass without the need of time-consuming sample preparation.

Statistics

Citations

4 citations in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

3 downloads since deposited on 16 Aug 2013
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Uncontrolled Keywords:chemometrics, endophytic fungi, FTIR, Lolium perenne
Language:English
Date:2013
Deposited On:16 Aug 2013 08:55
Last Modified:07 Dec 2017 21:59
Publisher:Oxford University Press
ISSN:1752-9921
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1093/jpe/rts043

Download