| dc.contributor.author |
Skandamis, PN |
en |
| dc.contributor.author |
Brocklehurst, TF |
en |
| dc.contributor.author |
Panagou, EZ |
en |
| dc.contributor.author |
Nychas, G-JE |
en |
| dc.date.accessioned |
2014-06-06T06:47:47Z |
|
| dc.date.available |
2014-06-06T06:47:47Z |
|
| dc.date.issued |
2007 |
en |
| dc.identifier.issn |
13645072 |
en |
| dc.identifier.uri |
http://dx.doi.org/10.1111/j.1365-2672.2007.03358.x |
en |
| dc.identifier.uri |
http://62.217.125.90/xmlui/handle/123456789/3806 |
|
| dc.subject |
Escherichia coli O157:H7 |
en |
| dc.subject |
Gel cassette |
en |
| dc.subject |
Image analysis |
en |
| dc.subject |
Predictive microbiology |
en |
| dc.subject.other |
bacterium |
en |
| dc.subject.other |
growth modeling |
en |
| dc.subject.other |
growth rate |
en |
| dc.subject.other |
image analysis |
en |
| dc.subject.other |
microbiology |
en |
| dc.subject.other |
pH |
en |
| dc.subject.other |
temperature effect |
en |
| dc.subject.other |
agar gel diffusion |
en |
| dc.subject.other |
article |
en |
| dc.subject.other |
bacterial count |
en |
| dc.subject.other |
bacterial growth |
en |
| dc.subject.other |
bacterium colony |
en |
| dc.subject.other |
biofilm |
en |
| dc.subject.other |
bright field microscopy |
en |
| dc.subject.other |
controlled study |
en |
| dc.subject.other |
Escherichia coli O157 |
en |
| dc.subject.other |
growth rate |
en |
| dc.subject.other |
image analysis |
en |
| dc.subject.other |
immobilized cell |
en |
| dc.subject.other |
incubation time |
en |
| dc.subject.other |
nonhuman |
en |
| dc.subject.other |
pH measurement |
en |
| dc.subject.other |
plate count |
en |
| dc.subject.other |
prediction |
en |
| dc.subject.other |
quantitative analysis |
en |
| dc.subject.other |
temperature dependence |
en |
| dc.subject.other |
Agar |
en |
| dc.subject.other |
Bacteriological Techniques |
en |
| dc.subject.other |
Culture Media |
en |
| dc.subject.other |
Escherichia coli O157 |
en |
| dc.subject.other |
Hydrogen-Ion Concentration |
en |
| dc.subject.other |
Image Processing, Computer-Assisted |
en |
| dc.subject.other |
Models, Biological |
en |
| dc.subject.other |
Temperature |
en |
| dc.subject.other |
Escherichia coli |
en |
| dc.title |
Image analysis as a mean to model growth of Escherichia coli O157:H7 in gel cassettes |
en |
| heal.type |
journalArticle |
en |
| heal.identifier.primary |
10.1111/j.1365-2672.2007.03358.x |
en |
| heal.publicationDate |
2007 |
en |
| heal.abstract |
Aims: The potential of image analysis for rapid and quantitative determination of the effect of environmental parameters such as temperature and pH on the growth of colonies of Escherichia coli O157:H7 derived from immobilized cells in gel cassettes was investigated. Methods and Results: The organism was grown in brain heart infusion agar contained within a cassette formed between sheets of PVC film. The medium was adjusted to pH 5, 6 or 7 and incubated at 10, 20, 30 or 40°C. The primary model of Baranyi was used to fit the growth data obtained by conventional plate counting and changes in colony area (2-dimensional spread of colonies) by light microscopy to derive estimates of maximum specific growth rates (μmax and Area μmax) in both cases. Growth rate values from both measurements were correlated and a secondary quadratic model was developed to predict μmax obtained via image analysis in response to environmental factors (temperature and pH). A progressive decrease of μmax and Area μmax was observed at lower temperatures and pH values. Immobilized cells failed to initiate growth at a pH of 5.0 and 10°C. There was high correlation between μmax values estimated by conventional plate counting and Area μmax values from microscopic observations in gel cassettes, regardless of temperature and pH. The values of μmax derived indirectly from the correlation with Area μmax values fitted well to the secondary model and gave realistic predictions of maximum specific growth rate values estimated by standard plate counting. Conclusions: The μmax of E. coli O157:H7 determined by plate counting was linearly correlated with Area μmax estimated by light microscopy, enabling indirect determination of μmax via the Area μmax. The estimates of μmax via the image analysis technique may be further modelled in response to environmental factors such as temperature and pH to predict the response of the organism in intermediate conditions. Significance and Impact of the Study: Image analysis in combination with gel cassettes could be a potential tool for rapid and convenient data collection and construction of accurate mathematical models as an alternative to conventional plate counting methods. © 2007 The Authors. |
en |
| heal.journalName |
Journal of Applied Microbiology |
en |
| dc.identifier.issue |
4 |
en |
| dc.identifier.volume |
103 |
en |
| dc.identifier.doi |
10.1111/j.1365-2672.2007.03358.x |
en |
| dc.identifier.spage |
937 |
en |
| dc.identifier.epage |
947 |
en |