At FOSS, innovative technology is the key behind the user friendliness of our Dedicated Analytical Solutions. Being first within the core technologies of our field, with the best experts on our team enables FOSS to be the most innovative partner to our customers.
As a business-to-business provider of dedicated analytical technology to other industries, FOSS naturally has in-depth competence in scientific disciplines such as f. ex NIR spectroscopy or X-ray technology with the aim of providing state-of-the-art yet easy to operate analytical solutions. Our core technologies include:
Near Infrared Spectroscopy (NIRS) is an accurate and rapid analysis method that is well suited for quantitative determination of the major constituents in most types of food and agricultural products. This reliable and non-destructive analysis method uses the wavelength region from ~750nm to 2500nm of the electromagnetic spectrum and can be configured for both transmission and diffuse reflection measurements.
A Fourier Transform Infrared spectrometer (FT-IR) is the preferred infrared absorption spectroscopy method today, used to measure constituents in liquid samples such as milk and wine. The method is easy, fast and accurate, combining high sensitivity with a full spectrum, enabling instrument standardisation and the use of calibrations for multiple instruments. More about FTIR.
X-ray can penetrate even thick samples of organic material, making it possible to measure 100% of the sample. Its unrivalled accuracy makes it a widely used technology in the food industry for scanning bulk objects such as meat. Whether measuring fat content, weight or detecting foreign objects, such as metal or bone fragments, X-ray offers a unique possibility for measuring inhomogeneous meat products.
Flow cytometry is a technology used to count and analyse cells or other particles in fluids. This is accomplished by staining the cells with a dye and measuring the fluorescence on a cell-by-cell basis. In central milk testing laboratories flow cytometry is used to count somatic cells and bacteria in milk.
Image analysis takes advantage of the fact that images contain information about the spatial distribution of the signal in the sample. F. ex image analysis can facilitate advanced processing of X-ray images for fast and accurate prediction of heterogeneous samples, thereby minimising sampling error. Other digital image types are well suited to describe sample characteristics such as size, shape or surface phenomena.
Chemometrics is the use of statistics, mathematics and profound knowledge about the data (chemistry, electronics and hardware) to extract and process relevant information from complex multivariate data. Chemometrics turns a spectrum, an image or a series of these into f. ex a protein value, a process parameter or an instrument diagnostic.