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פותח על ידי קלירמאש פתרונות בע"מ -
Discrimination of soil-borne fungi using Fourier transform infrared attenuated total reflection spectroscopy
Year:
2008
Source of publication :
Applied Spectroscopy
Authors :
צרור, לאה
;
.
Volume :
62
Co-Authors:
Linker, R., Civil and Environmental Engineering Dept., Division of Environmental, Water and Agricultural Engineering, Technion, Haifa 32000, Israel
Tsror, L., Agricultural Research Organization, Dept. of Plant Pathology, Gilat Experimental Station, M.P. Negev, Negev 85250, Israel
Facilitators :
From page:
302
To page:
305
(
Total pages:
4
)
Abstract:
Fourier transform infrared (FT-IR) attenuated total reflection (ATR) spectroscopy was used to discriminate five commonly encountered soil-borne fungi that cause severe economic damage to agriculture: Colletotrichum, Fusarium, Pythium, Rhizoctonia, and Verticillium. Contrary to previous studies related to microorganism discrimination using FT-IR-ATR spectroscopy, the pathogen samples were not dried on the ATR crystal, which is a time-consuming operation. Rather, after removing some pathogen filaments from the solution using tweezers, these were placed directly on a flat ATR crystal and pressure was applied using a pressure clamp. Following water subtraction, baseline correction, and normalization of the spectra, principal component analysis was used as a data-reduction step and canonical variate analysis was used for discrimination. Discrimination was performed at the genus level and at the strain level for Colletotrichum. For discrimination between the five fungi at the genus level, the success rate for the validation samples ranged from 75% to 89%. For discrimination between the two Colletotrichum strains, the success rate was 78%. Comparison with spectra of similar fungi dried on the ATR crystal showed that both types of spectra were very similar, indicating that drying the samples on the ATR crystal is not required and can be replaced by mathematical post-processing of the spectra. For routine analyses that involve rapid screening of very large amounts of samples, this approach allows for increasing significantly the number of samples that can be analyzed daily. © 2008 Society for Applied Spectroscopy.
Note:
Related Files :
Agriculture
Canonical variate analysis
chemistry
fungi
infrared spectroscopy
microbiological examination
Phyto-pathogens
soil
עוד תגיות
תוכן קשור
More details
DOI :
10.1366/000370208783759678
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
19815
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:31
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Scientific Publication
Discrimination of soil-borne fungi using Fourier transform infrared attenuated total reflection spectroscopy
62
Linker, R., Civil and Environmental Engineering Dept., Division of Environmental, Water and Agricultural Engineering, Technion, Haifa 32000, Israel
Tsror, L., Agricultural Research Organization, Dept. of Plant Pathology, Gilat Experimental Station, M.P. Negev, Negev 85250, Israel
Discrimination of soil-borne fungi using Fourier transform infrared attenuated total reflection spectroscopy
Fourier transform infrared (FT-IR) attenuated total reflection (ATR) spectroscopy was used to discriminate five commonly encountered soil-borne fungi that cause severe economic damage to agriculture: Colletotrichum, Fusarium, Pythium, Rhizoctonia, and Verticillium. Contrary to previous studies related to microorganism discrimination using FT-IR-ATR spectroscopy, the pathogen samples were not dried on the ATR crystal, which is a time-consuming operation. Rather, after removing some pathogen filaments from the solution using tweezers, these were placed directly on a flat ATR crystal and pressure was applied using a pressure clamp. Following water subtraction, baseline correction, and normalization of the spectra, principal component analysis was used as a data-reduction step and canonical variate analysis was used for discrimination. Discrimination was performed at the genus level and at the strain level for Colletotrichum. For discrimination between the five fungi at the genus level, the success rate for the validation samples ranged from 75% to 89%. For discrimination between the two Colletotrichum strains, the success rate was 78%. Comparison with spectra of similar fungi dried on the ATR crystal showed that both types of spectra were very similar, indicating that drying the samples on the ATR crystal is not required and can be replaced by mathematical post-processing of the spectra. For routine analyses that involve rapid screening of very large amounts of samples, this approach allows for increasing significantly the number of samples that can be analyzed daily. © 2008 Society for Applied Spectroscopy.
Scientific Publication
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