Foss has extended the availability of software functionality that helps to spot adulterated raw milk.
Foss has extended the availability of software functionality that helps to spot adulterated raw milk.
The software allows MilkoScan analyzers based on Fourier Transform Infrared technology to be programmed to give a warning of possible abnormalities in raw-milk samples. MilkoScan instruments are already used around the world to check raw milk for payment and quality assurance purposes.
Raw milk containing abnormalities is a growing problem. The abnormalities can be caused by deliberate adulteration, for example, with lard or melamine or by accidents, for example, if milk from cows and buffalo are mixed.
Previously, the software functionality was only available for the Foss MilkoScanFT 120 analyser. It is now provided as part of the Foss Integrator software supporting Foss dairy analytical solutions.
The ability to program analyzers used in routine testing operations allows users to adopt a screening approach to incoming raw-milk samples.
The programmed analyzer does not identify specific contaminants, but helps to identify a suspect raw milk sample quickly and as a normal part of everyday testing. The suspect sample can then be further analyzed to determine the contaminant.
The system works by monitoring the results of analysis performed using infrared spectroscopy. Looking at raw milk from a spectroscopic point of view, natural raw milk has a particular spectrum, a unique fingerprint. It is possible to program an infrared spectroscopy analyzer to recognize the spectra (or fingerprint) representing normal milk. A warning is then given when samples do not match the fingerprint.
“The screening approach is a powerful tool in tackling milk adulteration, whether this occurs by accident or on purpose,” said Foss Dairy Market Manager Dorthe Bisgaard. “With this screening option, quality assurance people can quickly check for many different types of adulteration and with no extra time or cost per routine test.”
Foss
www.foss.dk/abnormality-screening