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Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical models

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dc.contributor.author Dalgaard, P en
dc.contributor.author Koutsoumanis, K en
dc.date.accessioned 2014-06-06T06:44:35Z
dc.date.available 2014-06-06T06:44:35Z
dc.date.issued 2001 en
dc.identifier.issn 01677012 en
dc.identifier.uri http://dx.doi.org/10.1016/S0167-7012(00)00219-0 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/1968
dc.subject Automated turbidimetry en
dc.subject Growth models en
dc.subject Growth parameters en
dc.subject Predictive microbiology en
dc.subject.other accuracy en
dc.subject.other analytic method en
dc.subject.other article en
dc.subject.other bacterial count en
dc.subject.other bacterial growth en
dc.subject.other bacterium en
dc.subject.other brochothrix thermosphacta en
dc.subject.other cell viability en
dc.subject.other controlled study en
dc.subject.other growth rate en
dc.subject.other incubation time en
dc.subject.other intermethod comparison en
dc.subject.other lactic acid bacterium en
dc.subject.other mathematical model en
dc.subject.other nonhuman en
dc.subject.other Photobacterium phosphoreum en
dc.subject.other priority journal en
dc.subject.other Pseudomonas en
dc.subject.other Shewanella putrefaciens en
dc.subject.other Bacteria en
dc.subject.other Colony Count, Microbial en
dc.subject.other Culture Media en
dc.subject.other Food Microbiology en
dc.subject.other Models, Biological en
dc.subject.other Sea Bream en
dc.subject.other Seafood en
dc.subject.other Spectrophotometry en
dc.title Comparison of maximum specific growth rates and lag times estimated from absorbance and viable count data by different mathematical models en
heal.type journalArticle en
heal.identifier.primary 10.1016/S0167-7012(00)00219-0 en
heal.publicationDate 2001 en
heal.abstract Maximum specific growth rate (μ(max)) and lag time (λ) were estimated from viable count and absorbance data and compared for different microorganisms, incubation systems and growth conditions. Data from 176 growth curves and 120 absorbance detection times of serially diluted cultures were evaluated using different mathematical growth models. Accurate estimates of μ(max) and λ were obtained from individual absorbance growth curves by using the Richard model, with values of the parameter m fixed to 0.5, 1.0 or 2.0 to describing different degrees of growth dampening, as well as from absorbance detection times of serially diluted cultures. It is suggested to apply the two techniques complementarily for accurate, rapid and inexpensive estimation of microbial growth parameter values from absorbance data. In contrast, considerable limitations were demonstrated for the ability of the Exponential, the Gompertz and the Logistic models to estimate μ(max) and λ values accurately from absorbance data. Limitations of these models were revealed due the wide range of growth conditions studies. (C) 2001 Elsevier Science B.V. en
heal.journalName Journal of Microbiological Methods en
dc.identifier.issue 3 en
dc.identifier.volume 43 en
dc.identifier.doi 10.1016/S0167-7012(00)00219-0 en
dc.identifier.spage 183 en
dc.identifier.epage 196 en


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