[PDF][PDF] Microbial spoilage of bakery products and its control by preservatives

P Saranraj, M Geetha - International Journal of Pharmaceutical & …, 2012 - academia.edu
Spoiled food may be defined as a food that has been damaged or injured so as to make it
undesirable for human consumption. Bakery products are an important part of a balanced …

Predicting mycotoxins in foods: a review

D Garcia, AJ Ramos, V Sanchis, S Marín - Food microbiology, 2009 - Elsevier
The need to ensure the microbiological quality and safety of food products has stimulated
interest in the use of mathematical models for quantifying and predicting microbial …

[图书][B] Modeling microbial responses in food

RC McKellar, X Lu - 2003 - taylorfrancis.com
The first state-of-the-art review of this dynamic field in a decade, Modeling Microbial
Responses in Foods provides the latest information on techniques in mathematical …

Effect of weak acid preservatives on growth of bakery product spoilage fungi at different water activities and pH values

KI Suhr, PV Nielsen - International journal of food microbiology, 2004 - Elsevier
Inhibition of spoilage organisms from bakery products by weak acid preservatives in
concentrations of 0%, 0.003%, 0.03% and 0.3%(w/v) was investigated experimentally on a …

[HTML][HTML] Predicting and preventing mold spoilage of food products

S Dagnas, JM Membré - Journal of food protection, 2013 - Elsevier
This article is a review of how to quantify mold spoilage and consequently shelf life of a food
product. Mold spoilage results from having a product contaminated with fungal spores that …

Secondary models

T Ross, P Dalgaard - Modeling microbial responses in food, 2004 - books.google.com
Changes in populations of microorganisms in foods over time (ie,“microbial kinetics”) are
governed by storage conditions (“extrinsic” factors) and product characteristics (“intrinsic” …

Modeling microbial growth within food safety risk assessments

T Ross, TA McMeekin - Risk Analysis: An International Journal, 2003 - Wiley Online Library
Risk estimates for food‐borne infection will usually depend heavily on numbers of
microorganisms present on the food at the time of consumption. As these data are seldom …

Influence of pH, water activity and acetic acid concentration on Listeria monocytogenes at 7 C: data collection for the development of a growth/no growth model

A Vermeulen, KPM Gysemans, K Bernaerts… - International Journal of …, 2007 - Elsevier
Growth/no growth models can be used to determine the chance that microorganisms will
grow in specific environmental conditions. As a consequence, these models are of interest in …

Development and application of predictive models for fungal growth as tools to improve quality control in yogurt production

M Gougouli, K Kalantzi, E Beletsiotis… - Food …, 2011 - Elsevier
The effect of storage temperature (0–40° C) and inoculum size (101–105 spores) on the
mycelium growth kinetics of 12 fungal species on yogurt were monitored. A cardinal model …

Modelling growth of Penicillium expansum and Aspergillus niger at constant and fluctuating temperature conditions

M Gougouli, KP Koutsoumanis - International Journal of Food Microbiology, 2010 - Elsevier
The growth of Penicillium expansum and Aspergillus niger, isolated from yogurt production
environment, was investigated on malt extract agar with pH= 4.2 and aw= 0.997, simulating …