Studying bacterial metabolic states using Raman spectroscopy

被引:41
作者
Escoriza, Maria Fernanda [1 ]
Vanbriesen, Jeanne M.
Stewart, Shona
Maier, John
机构
[1] Carnegie Mellon Univ, Dept Civil & Environm Engn, Pittsburgh, PA 15213 USA
[2] ChemImage Corp, Pittsburgh, PA 15208 USA
关键词
Raman spectroscopy; bacterial decay; growth phases; metabolic states;
D O I
10.1366/000370206778397290
中图分类号
TH7 [仪器、仪表];
学科分类号
0804 ; 080401 ; 081102 ;
摘要
Natural metabolic variability expected during characteristic growth phases in batch cultures of Escherichia coli and Staphylococcus epidermidis were studied by Raman spectroscopy. Spectral changes induced by metabolic changes found in the growth phases (i.e., lag, exponential, stationary, and decay) were identified. Maximum intensity of bands assigned to DNA and RNA bases are seen at the beginning of the exponential phase, when cells are metabolically active, and minimum intensities are seen when cells are decaying. High agreement in spectral variation due to growth phases was seen for all the trials that were performed, four growth cycles for E. coli and two for S. epidermidis. Batch cultures were monitored by standard plate counts to identify all growth phases, including decay. Spectral data were analyzed by principal component analysis (PCA) and discriminant analysis to identify similarities and differences and to estimate a classification performance based on growth phases. For the species evaluated, spectra during decay are grouped closer to each other and separated from lag, exponential, and stationary cells. These results suggest that Raman spectroscopy can be used to study metabolic states in bacteria and in particular cell viability. Index Headings: Raman spectroscopy; Bacterial decay; Growth phases; Metabolic states.
引用
收藏
页码:971 / 976
页数:6
相关论文
共 33 条
[1]  
ARTAMONOV VV, 1988, DOPOVIDI AKAD NAUK U, V9, P41
[2]   Identification of oral bacteria by Raman microspectroscopy [J].
Berger, AJ ;
Zhu, QY .
JOURNAL OF MODERN OPTICS, 2003, 50 (15-17) :2375-2380
[3]   COMPARISON OF THE UV RESONANCE RAMAN-SPECTRA OF BACTERIA, BACTERIAL-CELL WALLS, AND RIBOSOMES EXCITED IN THE DEEP UV [J].
CHADHA, S ;
MANOHARAN, R ;
MOENNELOCCOZ, P ;
NELSON, WH ;
PETICOLAS, WL ;
SPERRY, JF .
APPLIED SPECTROSCOPY, 1993, 47 (01) :38-43
[4]   Reagentless identification of single bacterial spores in aqueous solution by confocal laser tweezers Raman spectroscopy [J].
Chan, JW ;
Esposito, AP ;
Talley, CE ;
Hollars, CW ;
Lane, SM ;
Huser, T .
ANALYTICAL CHEMISTRY, 2004, 76 (03) :599-603
[5]   Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy [J].
Choo-Smith, LP ;
Maquelin, K ;
van Vreeswijk, T ;
Bruining, HA ;
Puppels, GJ ;
Thi, NAG ;
Kirschner, C ;
Naumann, D ;
Ami, D ;
Villa, AM ;
Orsini, F ;
Doglia, SM ;
Lamfarraj, H ;
Sockalingum, GD ;
Manfait, M ;
Allouch, P ;
Endtz, HP .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2001, 67 (04) :1461-1469
[6]  
CLESCERI LS, 1998, STANDARD METHODS EXA, P38
[7]   Structural changes in the cells of some bacteria during population growth: A Fourier transform infrared-attenuated total reflectance study [J].
Ede, SM ;
Hafner, LM ;
Fredericks, PM .
APPLIED SPECTROSCOPY, 2004, 58 (03) :317-322
[8]   Raman spectroscopy and chemical imaging for quantification of filtered waterborne bacteria [J].
Escoriza, Maria Fernanda ;
VanBriesen, Jeanne M. ;
Stewart, Shona ;
Maier, John ;
Treado, Patrick J. .
JOURNAL OF MICROBIOLOGICAL METHODS, 2006, 66 (01) :63-72
[9]  
FERRARO JR, 2003, INTRO RAMAN SPECTROS, P223
[10]   Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks [J].
Goodacre, R ;
Timmins, ÉM ;
Burton, R ;
Kaderbhai, N ;
Woodward, AM ;
Kell, DB ;
Rooney, PJ .
MICROBIOLOGY-SGM, 1998, 144 :1157-1170