期刊
JOURNAL OF BIOPHOTONICS
卷 3, 期 8-9, 页码 534-541出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/jbio.201000017
关键词
ATR; FTIR; cyanobacteria; classification
A method was developed whereby high quality FTIR spectra could be rapidly acquired from soil-borne filamentous cyanobacteria using ATR FTIR spectroscopy. Spectra of all strains displayed bands typical of those previously reported for microalgae and water-borne cyanobacteria, with each strain having a unique spectral profile. Most variation between strains occurred in the C-O stretching and the amide regions. Soft Independent Modelling by Class Analogy (SIMCA) was used to classify the strains with an accuracy of better than 93%, with best classification results using the spectral region from 1800-950 cm(-1). Despite this spectral region undergoing substantial changes, particularly in amide and C-O stretching bands, as cultures progressed through the early-, mid- to late-exponential growth phases, classification accuracy was still good (similar to 80%) with data from all growth phases combined. These results indicate that ATR/FTIR spectroscopy combined with chemometric classification methods constitute a rapid, reproducible, [GRAPHICS] and potentially automated approach to classifying soilborne filamentous cyanobacteria.
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