NON-DESTRUCTIVE API’S FRACTION PREDICTION MULTIPOINT NIR-SRS PROBE Light Source Collection channels CUB-20, provides comprehensive and non-destructive prediction of tablets API’s content, based on multipoint NIR technology measurements The most sophisticated multipoint NIR-SRS (Spatially Resolved Spectroscopy) is embedded to allow prediction of the APIs (Active Pharmaceutical Ingredients) fractions in the tablets formulation.

NIR SRS TECHNOLOGY SPATIALLY RESOLVED SPECTROSCOPY FOR API’S FRACTION PREDICTION A close and strong collaboration between engineers, research centre and university has contributed in achieving extremely accurate content measurements. The versatile transportable unit is intended to run as a PAT non-destructive tool for a valuable process understanding : Off-line: R&D activities, process development, process knowledge for scale-up, process stability studies, fast & easy collection of spectra for chemometrics, clinical batch testing, prove global batch quality for CMO, counterfeit product detection...

Each product is inspected by the multipoint NIR-SRS probe at a high frequency frame rate, allowing several spectral acquisitions per product during his pass through and allowing a very good RMSEP accuracy. Various extensive repeatability tests campaigns and industrial case studies have shown that the predictions are within the predicted error boundaries. This equipment is geared to provide you this accurate fraction prediction, and to remove 100% of non-compliant products from good products, allowing RTD (Real Time Decision). Using a dedicated chemometric model, the CUB-20 can also allow prediction...

Technical data : Maximum speed Minimum product width Good products Maximum product width Maximum product height Air extraction Requested compressed air Machine noise level Non-compliant products Non-measured products Power supply 9 mm External Nilfisk VHW440 or equivalent 6 bar compressed air line ≤70 dB (A) 380V 3ph + N + PE Polymer contact parts Rue Graham Bell 8 B-1402 Thines (Nivelles) - Belgium Phone : +32 (0)67 70 13 00 E-Mail : [email protected]