Detection of Escherichia coli O157:H7 and Salmonella typhimurium using filtration followed by Fourier-transform infrared spectroscopy

被引:21
作者
Burgula, Y.
Khali, D.
Kim, S.
Krishnan, S. S.
Cousin, M. A.
Gore, J. P.
Reuhs, B. L.
Mauer, L. J.
机构
[1] Purdue Univ, Dept Food Sci, W Lafayette, IN 47907 USA
[2] Purdue Univ, Sch Mech Engn, W Lafayette, IN 47907 USA
[3] Indiana Univ Purdue Univ, Dept Mech Engn, Indianapolis, IN 46202 USA
关键词
D O I
10.4315/0362-028X-69.8.1777
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Fourier-transform infrared spectroscopy has been successfully used as a nondestructive method for identifying, distinguishing, and classifying pathogens. In this study, a less time-consuming Fourier-transform infrared procedure was developed to identify Escherichia coli O157:117 and Salmonella Typhimurium. Samples containing 10(9) CFU/ml were prepared in tryptic soy broth and then serially diluted (up to eight times) to obtain bacterial solutions of 10(9) to 10 CFU/ml. These dilutions were incubated at 37 degrees C for 6 h, samples were filtered through a Metricel filter hourly (for 0 to 6 h), and spectra were obtained using a ZnSe contact attenuated total reflectance accessory on a Continu mu m infrared microscope. Midinfrared spectra (4,000 to 700 cm(-1)) of Salmonella Typhimurium and E. coli O157:H7 were generated, and peak areas in the region of 1,589 to 1,493 cm(-1) were used to detect the pathogens. Initially, detection limits were between 10(6) and 10(7) CFU/ml without preenrichment, and samples starting with 500 CFU/ml were detectable following incubation for 6 111, when counts reached at least 10(6) CFU/ml. Compared with results of previously published studies in which Fourier-transform infrared spectroscopy was used to identify select pathogens, this method is more rapid and less expensive for practical large-scale sample analysis.
引用
收藏
页码:1777 / 1784
页数:8
相关论文
共 35 条
[1]  
[Anonymous], 2001, Food microbiology: fundamentals and frontiers
[2]  
Beattie SH, 1998, FEMS MICROBIOL LETT, V164, P201, DOI [10.1111/j.1574-6968.1998.tb13086.x, 10.1016/S0378-1097(98)00194-3]
[3]   ATR-FTIR spectroscopic investigation of E-coli transconjugants beta-lactams-resistance phenotype [J].
Bouhedja, W ;
Sockalingum, GD ;
Pina, P ;
Allouch, P ;
Bloy, C ;
Labia, R ;
Millot, JM ;
Manfait, M .
FEBS LETTERS, 1997, 412 (01) :39-42
[4]   A rapid method to screen for cell-wall mutants using discriminant analysis of Fourier transform infrared spectra [J].
Chen, LM ;
Carpita, NC ;
Reiter, WD ;
Wilson, RH ;
Jeffries, C ;
McCann, MC .
PLANT JOURNAL, 1998, 16 (03) :385-392
[5]   Rapid and quantitative detection of the microbial spoilage of meat by Fourier transform infrared spectroscopy and machine learning [J].
Ellis, DI ;
Broadhurst, D ;
Kell, DB ;
Rowland, JJ ;
Goodacre, R .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2002, 68 (06) :2822-2828
[6]  
FENG P, 2001, AOAC INT
[7]   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
[8]   Rapid identification of Streptococcus and Enterococcus species using diffuse reflectance-absorbance Fourier transform infrared spectroscopy and artificial neural networks [J].
Goodacre, R ;
Timmins, EM ;
Rooney, PJ ;
Rowland, JJ ;
Kell, DB .
FEMS MICROBIOLOGY LETTERS, 1996, 140 (2-3) :233-239
[9]   Characterization and identification of actinomycetes by FT-IR spectroscopy [J].
Haag, H ;
Gremlich, HU ;
Bergmann, R ;
Sanglier, JJ .
JOURNAL OF MICROBIOLOGICAL METHODS, 1996, 27 (2-3) :157-163
[10]   CLASSIFICATION AND IDENTIFICATION OF BACTERIA BY FOURIER-TRANSFORM INFRARED-SPECTROSCOPY [J].
HELM, D ;
LABISCHINSKI, H ;
SCHALLEHN, G ;
NAUMANN, D .
JOURNAL OF GENERAL MICROBIOLOGY, 1991, 137 :69-79