Use cutting-edge modelling data and cloud computing to develop safer foods faster and more cost-effectively than ever before.
We provide cutting edge models and services for the analysis of bacterial behaviour in food products.
The growth of microorganisms in food products is affected by environmental conditions such as temperature of storage, water activity, acidity and humidity. The development of predictive models for your products and experimental data can help you control the safety of the product and minimize the risk of microbial contamination.
Making decisions about the safety of the product can be difficult, especially if environmental conditions vary during the production and/or storage period.
When combined with the right data,we can help you answer the important questions.
We develop user friendly software where users can test how changing factors affect the growth of the pathogen in a product. Models are unique to your experimental, laboratory and study data.
Our models include:
Experimental data can be modelled and mined to take full advantage of what can be learned from the data. When experimental and study data is provided which clearly defines the stability of a product (i.e. the product is considered stable for a particular combination of additives etc., but unstable for some other), we can develop a predictive model which interpolates between different input variables and provides the probability that the analysed product is stable.
The efficiency of experiments and predictive models is highly dependent on the quality of the collected data. Inappropriate experimental design could result in misleading or incorrect conclusions. The amount of data required for the development of predictive models depends on the purposes of analysis. This is why it is important to have an idea of questions to be answered prior to collection of the experimental or study data. Creme Global has experience in providing expert advice on the methods for data collection:
This is a key step in obtaining meaningful results. The correct choice of design will minimize the noise in the data and as result provide best possible estimates of parameters. The advice will cover the recommended experiment period duration, the time points for data collection as well as the number of replicates at each time point.
We provide expert advice on selection of the most appropriate combinations of environmental conditions. For instance, in order to predict the growth in varying temperatures, the experiment should be carried out for a range of temperatures. The range of temperatures will vary depending on the microorganism and the product considered.
The recommended experimental design is summarised in a detailed report.
QMRA requires knowledge of both the hazard and the exposure. Creme Global has extensive experience in risk assessment modelling and software. Predicted microbial concentrations in foods can be linked to food consumption and dose response models using our software Creme Food Safety. This produces a more complete profile of risk and allows for better decision making and focusing of resources in risk mitigation.
12 of the top 15 food companies, 7 of the top 10 cosmetics and personal care companies, and 6 of the top 10 chemicals companies use our software to better understand their products and their impact on consumers.
Governments use our software to aid in creating regulations and in communicating with industry on safety. Our platforms give a shared point of reference.
Academia use our software to greatly increase the speed and viability of research projects into food safety, nutrition and human health. Our platforms are flexible, allowing for a broad range of applications in research.