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2007 | 63 | 07 |

Tytuł artykułu

Szybkie metody identyfikacji mikroorganizmow w zywnosci

Autorzy

Warianty tytułu

EN
Rapid methods for microorganism identification in food

Języki publikacji

PL

Abstrakty

EN
The need for the rapid and precise identification methods of food pathogens and spoilage microorganisms requires the elaboration of new techniques of microbial diagnosis. This article presents the newest methods of determining food biocontaminants with particular consideration given to immunological and genetic techniques (genomics) as some of the instrumental techniques (MALDI-TOF-MS, GC-MS, GC-FID) which classify microorganisms in respect to their specific chemical cell constituents, i.e. the fingerprint rule (proteomics, lipomics).

Wydawca

-

Rocznik

Tom

63

Numer

07

Opis fizyczny

s.773-777,bibliogr.

Twórcy

autor
  • Szkola Glowna Gospodarstwa Wiejskiego, ul.Nowoursynowska 159c, 02-782 Warszawa

Bibliografia

  • 1.Anon.: ISIAM 2000, A perspective on the fourth International Symposium on the Interface between Analytical Chemistry and Microbiology, ISIAM 2000. J. Microb. Methods 2002, 48, 95-1000.
  • 2.Boer E. de, Beumer R. R.: Methodology for detection and typing of foodborne microorganismsm. Int. J. Food Microbiol. 1999, 50, 119-130.
  • 3.Boulos L., Prévost M., Barbeau B., Coallier J., Desjardins R.: LIVE/DEAD BacLight application of a new rapid staining method for direct enumeration of viable and total bacteria in drinking water. J. Microbiol. Methods 1999, 37, 77-86.
  • 4.Breeuwer P., Abee T.: Assessment of viability of microorganisms employing fluorescence techniques. Int. J. Food Microbiol. 2000, 55, 193-200.
  • 5.Brondz I., Høiland K., Ekeberg D.: Multivariate analysis of fatty acids in spores of higher basidiomycetes: a new method for chemotaxonomical classification of fungi. J. Chromatogr. B 2004, 8000, 303-307.
  • 6.Busse H.-J., Denner E. B. M., Lubitz W.: Classification and identyfication of bacteria: current approaches to an old problem. Overview of methods used in bacteral systematics. J. Biotechnol. 1996 47, 3-38.
  • 7.Giacomini M., Ruggiero C., Calegari L., Bertone S.: Artificial neural network based identyfication of environmental bacteria by gas-chromatographic and electrophoretic data. J. Microb. Methods 2000, 43, 45-54.
  • 8.Gunasekera T. S., Sørensen A., Attfield P. V., Sørensen S. J., Veal D. A.: Inducible gene expression by nonculturable bacteria in milk after pasteurization. Appl. Envir. Microbiol. 2002, 68, 1988-1993.
  • 9.Hendricker A. D., Abbas-Hawks C., Basile F., Voorhees K. J., Hadfield T. L.: Rapid chemotaxonomy of pathogenic bacteria using in situ thermal hydrolysis and methylation as a sample preparation step coupled with a field-portable membrane inlet quadrupole ion trap mass spectrometer. Int. J. Mass Spectr. 1999, 190/191, 331-342.
  • 10.Jones J. J., Stump M. J., Fleming R. C., Lay J. O., Wilkins C. L.: Strategies and data analysis techniques for lipid and phospholipid chemistry elucidation by intact cell MALDI-FTMS. J. Am. Sos. Mass Spectrom. 2004, 15, 1665-1674.
  • 11. Joux F., Lebaron P.: Use of fluorescent probes to assess physiological functions of bacteria at single-cell level. Microbes Infection 2000, 2, 1523-1535.
  • 12.Jungblut P. R.: Proteome analysis of bacterial pathogens. Microbes Infections 2001, 3, 831-840.
  • 13.Moss C. W., Shinoda T., Samuels J. W.: Determination of cellular fatty acid composition of various yeast by gas chromatography. Jour. Clin. Microb. 1982, 1073-1079.
  • 14.Osek J., Kowalczyk A., Wieczorek K.: Molekularne metody wykrywania i identyfikacji chorobotwórczych bakterii w ¿ywnoœci. Medycyna Wet. 2005, 61, 5-9.
  • 15.Otero A., Garcia-Lopez M.-L., Moreno B.: Rapid microbilogical methods in meat and meat products. Meat Science 1998, 49, 179-189.
  • 16.Parente E., Ricciarrdi A.: A statistical procedure for the analysis of microbial communities based on phenotypic properties of isolates. J. Microb. Methods 2002, 49, 121-134.
  • 17.Peltroche-Llacsahuanga H., Schidt S., Lütticken R., Haase G.: Discriminative power of fatty acid methyl ester (FAME) analysis using the Microbial Identification System (MIS) for Candida (Torulopsis) glabrata and Saccharomyces cerevisiae. Diagn. Microbiol. Infect. Dis. 2000, 38, 213-221.
  • 18.Pendergrass S. M., Jensen P. A.: Application of the gas chromatography-fatty acid methyl ester system for the identyfication of environmental and clinical isolates of the family Micrococcaceae. Appl. Occup. Environ. Hyg. 1997, 12(8), 543-546.
  • 19.Sasser M.: Identification of Bacteria by Gas Chromatography of Cellular Fatty Acids. MIDI Technical Note 1990.
  • 20.Tothill E. I.: Biosensors developments and potential applications in the agricultural diagnosis sector. Computers Electronics Agric. 2001, 30, 205-218.
  • 21.Whitakker P., Mossoba M. M., Al-Khaldi S., Fry F. S., Dunkel V. C., Tall B. D., Yurawecz M. P.: Identyfication of foodborne bacteria by infrared spectroscopy using cellular fatty acid methyl esters. J. Microb. Method 2003, 55, 709-716.
  • 22.Xu M., Basile F., Voorhees K. J.: Differentation and classification of user-specified bacterial groups by in situ thermal hydrolysis and methylation of whole bacterial cells with tert-butyl bromide chemical ionization ion trap mass spectrometry. Anal. Chim. Acta 2000, 418, 119-128.
  • 23.Xu M., Voorhees K. J., Hadfield T. L.: Repeatability and pattern recognition of bacterial fatty acid profiles generated by direct mass spectrometric analysis of in situ thermal hydrolysis/methylation of whole cells. Talanta 2003, 59, 577-589

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

bwmeta1.element.agro-article-e482efd4-50d1-45f9-822e-e480ccc34095
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