Do you know what’s in your food?

How can fraud in foods and materials be detected?

Fast DART-MS-detection combined with statistical analysis is one of the answers.

 

Fraud of raw materials and food is a big problem of today’s supply chain.

Examples could be diluting extra virgin olive oil with non-virgin olive oil or even sesame oil or grapeseed oil.

Another example could be mixing in wheat grain in spelt grain. Similar problems are seen all over the food industry, but also in many other industries.

Using mass spectrometry a fingerprint of all the contents in the sample are recorded; a fingerprint that can be used in statistical models to discern real samples from fraudulent samples.

Often the differences are small and the statistical model is necessary to see the differences.

Mass spectrometry is traditionally seen as time-consuming as it is very often coupled to chromatography, leading to long analysis times, which in the end makes enough data for statistical models being impossible to record.

In this webinar we will present how the normal problems of analytical methods from edible oil fraud analysis as well as the statistical analysis and analysis of spelt fraud can be overcome.

We will look closer into examples from articles as well as the entire procedure from sample to the data statistic using mass spectrometry, DART and Analyzer Pro.

Date: Thursday April 7th. 15-16

Speakers: Rasmus Bøg Hansen, Mads Brun Sørensen

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