Automated species and strain identification of bacteria in complex matrices using FTIR spectroscopy

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6954, Issue , 2008, Pages

  Puzey, K A ^a   Gardner, P J ^b   Petrova, V K ^c   Donnelly, C W ^c   Petrucci, G A ^c  

^a QuantaSpec Inc   (United States)

^b WESTERN CAROLINA UNIVERSITY   (United States)

^c UNIVERSITY OF VERMONT   (United States)

Author keywords

FTIR spectroscopy; Mahalanobis distance; Pathogen detection

Indexed keywords

ATTENUATED TOTAL REFLECTION ( ATR); BACTERIAL STRAINS; CHEMICAL , BIOLOGICAL , RADIOLOGICAL , NUCLEAR (CBRN); CLASSIFICATION ACCURACIES; COMPLEX MATRICES; E. COLI; ENVIRONMENTAL SAMPLES; FIRST DERIVATIVES; FOOD MATRIXES; FOURIER TRANSFORM INFRARED SPECTROSCOPY (MIT FTIR); FT-IR SPECTRUM; GRAZING ANGLE FOURIER TRANSFORM INFRARED (FTIR) SPECTROSCOPY; GROWTH MEDIUM; GROWTH PHASE; GROWTH STAGES; IDENTIFICATION ACCURACY; IDENTIFICATION RATES; INTERFERENTS; MAHALANOBIS DISTANCE (MD); MICROBIAL CELLS; MULTIVARIATE DISCRIMINANT ANALYSIS (MDA); PATHOGENIC BACTERIA; SPECTRA (CO);

BACTERIA; BACTERIOLOGY; CANNING; CHEMICAL COMPOUNDS; CLASSIFICATION (OF INFORMATION); DEPOSITS; DISCRIMINANT ANALYSIS; ESCHERICHIA COLI; EXPLOSIVES; FOOD PRESERVATION; FOOD PRODUCTS; FOURIER TRANSFORMS; INFRARED SPECTROSCOPY; MATRIX ALGEBRA; PHOTOACOUSTIC EFFECT; SPECTROSCOPY; SPECTRUM ANALYSIS; STRAIN; TELLURIUM COMPOUNDS;

FOURIER TRANSFORM INFRARED SPECTROSCOPY;

EID: 44949184399     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.783347     Document Type: Conference Paper

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