Literature DB >> 7873339

Estimation of bacterial growth rates from turbidimetric and viable count data.

P Dalgaard1, T Ross, L Kamperman, K Neumeyer, T A McMeekin.   

Abstract

The relationship between maximum specific growth rates (mu max) determined from viable counts and turbidimetric measurements for a range of bacterial species is examined in order to assess the potential of turbidimetric methods in predictive microbiology. Two methods for the estimation of mu max from turbidimetric data are presented. One is based on absorbance and the other on transmittance measurements. Both are compared to estimates obtained by viable count methods. Calibration factors, a function to correct the non-linearity of absorbance measurements, and variance stabilising transformations for corrected absorbance measurements and for viable count data, are determined. It is concluded that turbidimetric measurements may be used reliably for estimation of mu max.

Mesh:

Year:  1994        PMID: 7873339     DOI: 10.1016/0168-1605(94)90165-1

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  52 in total

1.  Combined effects of pH and sugar on growth rate of Zygosaccharomyces rouxii, a bakery product spoilage yeast.

Authors:  J M Membré; M Kubaczka; C Chéné
Journal:  Appl Environ Microbiol       Date:  1999-11       Impact factor: 4.792

2.  Modeling the lag time of Listeria monocytogenes from viable count enumeration and optical density data.

Authors:  F Baty; J P Flandrois; M L Delignette-Muller
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

3.  Alternative approach to modeling bacterial lag time, using logistic regression as a function of time, temperature, pH, and sodium chloride concentration.

Authors:  Shige Koseki; Junko Nonaka
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

4.  Use of stochastic models to assess the effect of environmental factors on microbial growth.

Authors:  José Miguel Ponciano; Frederik P J Vandecasteele; Thomas F Hess; Larry J Forney; Ronald L Crawford; Paul Joyce
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

5.  Nonbioluminescent strains of Photobacterium phosphoreum produce the cell-to-cell communication signal N-(3-Hydroxyoctanoyl)homoserine lactone.

Authors:  L R Flodgaard; P Dalgaard; J B Andersen; K F Nielsen; M Givskov; L Gram
Journal:  Appl Environ Microbiol       Date:  2005-04       Impact factor: 4.792

6.  A universally applicable and rapid method for measuring the growth of streptomyces and other filamentous microorganisms by methylene blue adsorption-desorption.

Authors:  Marco Fischer; R Gary Sawers
Journal:  Appl Environ Microbiol       Date:  2013-05-10       Impact factor: 4.792

7.  Evaluation of Fourier-transform infrared spectroscopy for data capture in predictive microbiology.

Authors:  L Vannini; R Lanciotti; F Gardini; M E Guerzoni
Journal:  World J Microbiol Biotechnol       Date:  1996-01       Impact factor: 3.312

8.  Predictive growth model of the effects of temperature on the growth kinetics of generic Escherichia coli in the Korean traditional rice cake product "Garaetteok".

Authors:  Shin Young Park; Sang-Do Ha
Journal:  J Food Sci Technol       Date:  2017-11-06       Impact factor: 2.701

9.  Comparison of two optical-density-based methods and a plate count method for estimation of growth parameters of Bacillus cereus.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Han Joosten; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-01-15       Impact factor: 4.792

10.  Synthesis of novel (E)-2-(4-(1H-1,2,4-triazol-1-yl)styryl)-4- (alkyl/arylmethyleneoxy)quinazoline derivatives as antimicrobial agents.

Authors:  Lan Yang; Shijia Ge; Jian Huang; Xiaoping Bao
Journal:  Mol Divers       Date:  2017-11-08       Impact factor: 2.943

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