Identification of bacterial spores using statistical analysis of Fourier transform infrared photoacoustic spectroscopy data

Applied Spectroscopy

Volumn 57, Issue 8, 2003, Pages 893-899

  Thompson, Sandra E ^a   Foster, Nancy S ^a   Johnson, Timothy J ^a   Valentine, Nancy B ^a   Amonette, James E ^a  

^a PACIFIC NORTHWEST NATIONAL LABORATORY   (United States)

Author keywords

Bacillus; Bacteria; CART; Classification and regression trees; Fourier transform infrared spectroscopy; FT IR; Photoacoustic; Spectroscopy; Spores; Statistical analysis

Indexed keywords

ALGORITHMS; FOURIER TRANSFORM INFRARED SPECTROSCOPY; FUNGI; INFRARED TRANSMISSION; INTERFEROMETERS; MASS SPECTROMETRY; OPTICAL SENSORS; PH EFFECTS; PHOTOACOUSTIC SPECTROSCOPY; RAMAN SPECTROSCOPY; STATISTICAL METHODS;

BACTERIAL STRAINS;

BACTERIA;

ACOUSTICS; ALGORITHM; BACILLUS; BACTERIAL SPORE; CLASSIFICATION; INFRARED SPECTROSCOPY; ISOLATION AND PURIFICATION; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REVIEW; STATISTICAL ANALYSIS;

ACOUSTICS; ALGORITHMS; BACILLUS; DATA INTERPRETATION, STATISTICAL; PRINCIPAL COMPONENT ANALYSIS; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SPORES, BACTERIAL;

EID: 0042934086     PISSN: 00037028     EISSN: None     Source Type: Journal    
DOI: 10.1366/000370203322258832     Document Type: Conference Paper

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