Rapid detection and identification of Pseudomonas aeruginosa and Escherichia coli as pure and mixed cultures in bottled drinking water using Fourier transform infrared spectroscopy and multivariate analysis

被引:83
作者
Al-Qadiri, Hamzah M.
Al-Holy, Murad A.
Lin, Mengshi
Alami, Nivin I.
Cavinato, Anna G.
Rasco, Barbara A.
机构
[1] Washington State Univ, Dept Food Sci & Human Nutr, Pullman, WA 99164 USA
[2] Hashemite Univ, Fac Allied Hlth Sci, Dept Clin Nutr & Dietet, Zarqa, Jordan
[3] Univ Jordan, Water & Environm Res & Study Ctr, Amman, Jordan
[4] Eastern Oregon Univ, Chem & Biochem Program, La Grande, OR 97850 USA
关键词
FT-IR; spectroscopy; drinking water contamination; P; aeruginosa; E; coli; PCA; SIMCA; bacterial differentiation; mixed bacterial cultures;
D O I
10.1021/jf0609734
中图分类号
S [农业科学];
学科分类号
09 ;
摘要
Fourier transform infrared (FT-IR) spectroscopy and multivariate analysis were used to identify Pseudomonas aeruginosa and Escherichia coli ATCC 25922 inoculated into bottled drinking water. Three inoculation treatments were examined: (i) E. coli ATCC 25922 (N = 3), (ii) P. aeruginosa(N = 3), and (iii) a 1:1 (v:v) mixed culture of both P. aeruginosa and E. coli ATCC 25922 (N = 3). The control treatment was noninoculated drinking water (N = 3). Second derivative transformation and loadings plots over the range of 1800-900 cm(-1) indicate variations in the following bacterial constituents: amide I band ca. 1650 cm(-1), amide II band ca. 1540 cm(-1), phosphodiester backbone of nucleic acids ca. 1242 and 1080 cm(-1), and polysaccharide compounds ca. 1050-950 cm(-1). Cells with the different treatments were clearly segregated from a mean centered principal component analysis. By using soft independent modeling of class analogy analysis, spectra from a given treatment could be correctly classified 83-88% of the time. These results suggest that FT-IR spectroscopy can determine whether a pure culture is present, in addition to confirming that this method can discriminate between closely related bacteria based on differences in biochemical and phenotypic characteristics that can be detected in this spectral region.
引用
收藏
页码:5749 / 5754
页数:6
相关论文
共 31 条
  • [1] The use of Fourier transform infrared spectroscopy to differentiate Escherichia coli O157:H7 from other bacteria inoculated into apple juice
    Al-Holy, MA
    Lin, M
    Cavinato, AG
    Rasco, BA
    [J]. FOOD MICROBIOLOGY, 2006, 23 (02) : 162 - 168
  • [2] [Anonymous], 1989, Practical Medical Microbiology
  • [3] [Anonymous], 1995, STANDARD METHODS EXA, V19th
  • [4] [Anonymous], 1989, MULTIVARIATE CALIBRA
  • [5] Atlas R.M., 1988, MICROBIOLOGY FUNDAME
  • [6] Multiparametric analysis of waterline contamination in dental units
    Barbeau, J
    Tanguay, R
    Faucher, E
    Avezard, C
    Trudel, L
    Cote, L
    Prevost, AP
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 1996, 62 (11) : 3954 - 3959
  • [7] Investigating microbial (micro)colony heterogeneity by vibrational spectroscopy
    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
    [J]. APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2001, 67 (04) : 1461 - 1469
  • [8] EMDE KME, 1991, RES J WATER POLLUT C, V63, P730
  • [9] Rapid identification of urinary tract infection bacteria using hyperspectral whole-organism fingerprinting and artificial neural networks
    Goodacre, R
    Timmins, ÉM
    Burton, R
    Kaderbhai, N
    Woodward, AM
    Kell, DB
    Rooney, PJ
    [J]. MICROBIOLOGY-SGM, 1998, 144 : 1157 - 1170
  • [10] Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks
    Goodacre, R
    Timmins, EM
    Rooney, PJ
    Rowland, JJ
    Kell, DB
    [J]. FEMS MICROBIOLOGY LETTERS, 1996, 140 (2-3) : 233 - 239