1994•Journal of Food SafetyRequires access

COMPARISON OF LAG TIMES OBTAINED FROM OPTICAL DENSITY AND VIABLE COUNT DATA FOR A STRAIN OF PSEUDOMONAS FRAGI

John Andrew Hudson, Sandra J. Mott

Open publisher page 19 citations

Abstract

ABSTRACT Values were obtained for the lag times of a strain of the meat spoilage bacterium Pseudomonas fragi under a variety of cultural conditions by analyzing optical density (OD) and viable count (VC) data using the Gompertz equation. Lag times produced from OD data were shorter than those derived from VC data. Observations showed that during the lag phase, cell length increased before the cells began to divide, explaining the apparent earlier resolution of lag phase observed with the OD measurement technique. By linear regression the general equation: Log (VC Lag time) = A + B.Log (OD Lag time) where A = 0.344 and B = 0.868 was derived to interconvert OD lag times and VC lag times. This equation was applied to predicted lag times derived from models that had been constructed using optical density data and that are used to predict growth kinetics of cold‐tolerant pathogens on foods. With this adjustment, the models demonstrated an improved predictive ability when compared to measured values for growth of these pathogens on foods.

About this research paper

What this paper is about

ABSTRACT Values were obtained for the lag times of a strain of the meat spoilage bacterium Pseudomonas fragi under a variety of cultural conditions by analyzing optical density (OD) and viable count (VC) data using the Gompertz equation. Lag times produced from OD data were shorter than those derived from VC data. Observations showed that during the lag phase, cell length increased before the cells began to divide, explaining the apparent earlier resolution of lag phase observed with the OD measurement technique. By linear regression the general equation: Log (VC Lag time) = A + B.Log (OD Lag time) where A = 0.344 and B = 0.868 was derived to interconvert OD lag times and VC lag times. This equation was applied to predicted lag times derived from models that had been constructed using optical density data and that are used to predict growth kinetics of cold‐tolerant pathogens on foods. With this adjustment, the models demonstrated an improved predictive ability when compared to measured values for growth of these pathogens on foods.

Why it matters

OpenAlex reports 19 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

ABSTRACT Values were obtained for the lag times of a strain of the meat spoilage bacterium Pseudomonas fragi under a variety of cultural conditions by analyzing optical density (OD) and viable count (VC) data using the Gompertz equation. Lag times produced from OD data were shorter than those derived from VC data. Observations showed that during the lag phase, cell length increased before the cells began to divide, explaining the apparent earlier resolution of lag phase observed with the OD measurement technique. By linear regression the general equation: Log (VC Lag time) = A + B.Log (OD Lag time) where A = 0.344 and B = 0.868 was derived to interconvert OD lag times and VC lag times. This equation was applied to predicted lag times derived from models that had been constructed using optical density data and that are used to predict growth kinetics of cold‐tolerant pathogens on foods. With this adjustment, the models demonstrated an improved predictive ability when compared to measured values for growth of these pathogens on foods.

Key concepts: Lag, Lag time, Gompertz function, Strain (injury), Optical density, Time lag, Food spoilage, Mathematics

Related papers

Back to paper searchBrowse research topicsOriginal source
COMPARISON OF LAG TIMES OBTAINED FROM OPTICAL DENSITY AND VIABLE COUNT DATA FOR A STRAIN OF PSEUDOMONAS FRAGI — Research Paper | ScholarLens