R
Robin C. McKellar
Researcher at Agriculture and Agri-Food Canada
Publications - 45
Citations - 2286
Robin C. McKellar is an academic researcher from Agriculture and Agri-Food Canada. The author has contributed to research in topics: Population & Exponential growth. The author has an hindex of 23, co-authored 45 publications receiving 2152 citations.
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Journal ArticleDOI
Inactivation of microbes using ultrasound: a review.
TL;DR: Thermosonic, manosonic, pressure plus sonication, and manothermosonic treatments are likely the best methods to inactivate microbes, as they are more energy-efficient and effective in killing microorganisms.
Reference BookDOI
Modeling Microbial Responses in Food
Robin C. McKellar,Xuewen Lu +1 more
TL;DR: This paper presents a meta-modelling framework for modeling the history effect of Microbial Lag at Population Level and the History Effect at Single-Cell Level using Predictive Modeling and Stochastic Modeling.
Journal ArticleDOI
A combined discrete-continuous model describing the lag phase of Listeria monocytogenes.
Robin C. McKellar,K. P. Knight +1 more
TL;DR: By combining the discrete adaptation step with a continuous growth function it was possible to generate a model which accurately described the transition from lag to exponential phase, and may serve as a useful tool for describing individual cell behavior, and thus increasing the knowledge of events occurring during the lag phase.
Journal ArticleDOI
A heterogeneous population model for the analysis of bacterial growth kinetics
TL;DR: A modified model in which mu(max) was replaced with a temperature function, and w0 replaced G0, was used to predict the effect of temperature on the growth of L. monocytogenes, and raises questions concerning the current definition of the lag phase.
Journal ArticleDOI
Determination of acceptability and shelf life of ready-to-use lettuce by digital image analysis
T. Zhou,A.D Harrison,Robin C. McKellar,J.C. Young,Joseph Odumeru,P. Piyasena,Xuewen Lu,Donald G. Mercer,S. Karr +8 more
TL;DR: In this paper, the potential of digital measurement of browning to determine the acceptability and shelf life of ready-to-use (RTU) lettuce was investigated, and a human panel visually evaluated the lettuce samples seven times over 18 days using a loss of quality scale from 1 to 5.