During polymer extrusion, fundamental changes occur in the composition and structure of the material, which directly affect the mechanical properties, stability and quality of the final product. Traditional inspection methods often rely on sampling and laboratory analysis, which means time delays and the risk of defective production.

The MarqMetrix Raman spectrometer enables continuous, non-destructive, and highly accurate measurements directly at the production site. MarqMetrix can detect chemical changes in the polymer matrix in real time and provides immediate feedback for optimizing production parameters.

Why Raman spectroscopy?

• Online monitoring of chemical composition: Raman spectroscopy allows for immediate analysis of molecular vibrations and identification of polymer structures without the need for sample preparation.
• Direct integration into the production line: The MarqMetrix system can be easily connected to the extruder and linked to process control, enabling automated quality control.
• Safe and non-destructive analysis: Measurement is performed optically directly through the reactor window or tubing, minimizing the risk of contamination or sample interference.
• High sensitivity and selectivity: MarqMetrix detects even small differences in chemical composition, which helps identify impurities, side reactions or degradation processes.
• Waste and cost reduction: Thanks to immediate feedback, the production of poor-quality products can be eliminated and raw material consumption can be reduced.

MarqMetrix spectrometer applications in industry

• Production of plastic packaging and films: Control of homogeneity of ingredients and additives.
• Automotive industry: Monitoring polymer blends to ensure mechanical properties of parts.
• Pharmaceutical sector: Analysis of polymer matrices in dosage forms.
• Plastics recycling: Identification of polymer materials for more efficient sorting.

With advanced optical technology and compact design, MarqMetrix is ​​the ideal tool for modern quality management and polymer process optimization.