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ComBase: A Web Resource for Quantitative and Predictive Food Microbiology

ComBase includes a systematically formatted database of quantified microbial responses to the food environment with more than 60,000 records, and is used for:

  • Informing the design of food safety risk management plans
  • Producing Food Safety Plans and HACCP plans
  • Reducing food waste
  • Assessing microbiological risk in foods

The ComBase Browser enables you to search thousands of microbial growth and survival curves that have been collated in research establishments and from publications.

The ComBase Predictive Models are a collection of software tools based on ComBase data to predict the growth or inactivation of microorganisms as a function of environmental factors such as temperature, pH and water activity in broth.

Interested users can also contribute growth or inactivation data via the Donate Data page, which includes instructional videos, data template and sample, and an Excel demo file of data and macros for checking data format and syntax.

Dataset Info

These fields are compatible with DCAT, an RDF vocabulary designed to facilitate interoperability between data catalogs published on the Web.
FieldValue
Authors
ComBase Team
Product Type
Dataset
Publisher
University of Tasmania; USDA Agricultural Research Service
Contact Name
Lindsay, James
Contact Email
Public Access Level
Public
Primary Article

Baranyi, J. & Tamplin M. L. (2004). ComBase: A Common Database on Microbial Responses to Food Environments. Journal of Food Protection, 67(9), 1967-1971.

Related Article

Tenenhaus-Aziza, F. & Ellouze, M. (2015). Software for predictive microbiology and risk assessment: A description and comparison of tools presented at the ICPMF8 Software Fair. Food Microbiology 45, Part B, 290-299.

Koutsoumanis, K. P., Lianou, A., & Gougouli, M. (2016). Latest developments in foodborne pathogens modeling. Current Opinion in Food Science 8, 89-98.

License
Funding Source(s)
Agricultural Research Service
University of Tasmania
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2019-05-22
Release Date
2019-02-14
Ag Data Commons Keywords: 
  • Food & Nutrition
  • Food safety
  • Microorganisms
  • Food & Nutrition
  • Food safety
  • Food & Nutrition
  • Online database