Spectral characterisation of materials and chemical imaging

LLA Instruments GmbH & Co. KG (LLA) spectrometer and cameras are utilised in a wide field of applications. For most application fields shown on the left side, ready-to-use identification routines are available. The identification routines can be selected easily in the device software, enabling an easy way to change the sorting task of the device.


For recycling applications, the multiplexed near-infrared (NIR) spectrometer KUSTAx.xMPL-24V and the NIR hyperspectral cameras KUSTAx.xMSI are employed. These process NIR spectrometer are versatile tools for automated sorting and recycling of recovered paper, debris and plastics in household or electronic waste. The high spatial resolution of state-of-the-art 2D NIR process technology KUSTAx.xMSI enables the sorting of small particles such as PET-flakes.

Quality control and sorting by NIR technology

The multiplexed NIR-spectrometers uniSPECx.xMPL-24V or the hyperspectral imaging cameras uniSPECx.xHSI are particularly useful for automated quality control in production. The imaging technology provides a complete detection of the entire material stream.

The NIR spectrometer and cameras are suitable for the following applications:
Minerals/mining industries
Food and feed
Textile processing
Paper production and printing
Coating industries.

The usage of NIR process technology is recommended in case of:
■ Detection and subsequent elimination of foreign materials in material streams
■ Homogeneity analysis of different product loads
■ Composition analysis of products
■ Determination of ingredients concentration

Chemical Imaging in research and development

The hyperspectral imaging camera uniSPECx.xHSI is ideal for scientific applications due to the high spatial resolution. All NIR active materials can be investigated to obtain spatially resolved NIR data. The resulting three dimensional datacubes are further utilised for a false colour representation of chemical composition. The visualisation of differences in chemical composition is usually referred as chemical imaging. Chemical imaging is particularly useful for the interpretation of NIR-data from aerial survey and can be used to analyse geological or vegetation-related changes.