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Trials on nir perten 2014

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Frá Vorráðstefnu FÍF 2014

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Trials on nir perten 2014

  1. 1. NIR Analyses in fishmeal An Icelandic Network 2014-03-27 Stefan Lundgren Perten Instruments AB Perten Instruments Group
  2. 2. AGENDA • Briefly about Perten, really briefly... • NIR Analyzers from Perten Instruments • Parameters analyzed in Fishmeal by NIR • Results from trial at Matis 2013 • NIR Networks
  3. 3. Our History Harald Perten, a cereal chemist, founded the company in 1962.
  4. 4. Analytical solutions for Agri Food Industries Grain Flour Food Feed
  5. 5. A long history in NIR In 1980 Perten Instruments developed its first NIR instrument.
  6. 6. Global – Local Icepack Ehf Reykjavik
  7. 7. DA 7250 NIR Analyzer • 6-second analysis • Grains, slurries, powders and more • No sample preparation • SEE IT OUTSIDE!
  8. 8. DA 7300 Online NIR Analyzer • Inline analysis • Grains, pastes, powders and more • Built-in camera
  9. 9. DA 7300 Online NIR Analyzer • Over-belt analysis • Grains, meals, powders and more
  10. 10. Plus Platform overview NetPlus server NetPlus - Reports Reports on e.g. production Production manager NetPlus - Remote Instrument performance and configuration Instrument manager NetPlus - Application Organize calibrations, find data, export/import Application specialist Results Plus Sample analysis, with GUI Process Plus Process analysis, No GUI Results Plus? Future additions Instrument software Browser software
  11. 11. NIR in Fishmeal – Analysis parameters Parameter Unit Reference method Moisture % by weight Drying Oven Protein % by weight, as is Kjeldahl Fat % by weight, as is Soxhlet Ash % by weight, as is Ashing Oven Salt % by weight, as is Titration TVN Cadaverine mg/100g g/kg Steam distillation HPLC
  12. 12. NIR in Fishmeal – Trial at Matis • Some 200 samples were provided by SVN and Matis • All samples were scanned on DA7250 • Analyzed for Moisture, Protein, Fat and Ash, using Perten’s global calibration models • Results were good but not optimal • Matis provided samples with Salt and TVN values • New calibration models were developed by Perten • Feasibility study carried out on Cadaverine in Fishmeal
  13. 13. Moisture Parameter SEC SEP R2 Range C-set V-set Moisture 0.43 0.35 0.93 2.1-9.3 184 38
  14. 14. Protein Parameter SEC SEP R2 Range C-set V-set Protein 0.87 0.83 0.87 65.9-74.3 184 38
  15. 15. Fat Parameter SEC SEP R2 Range C-set V-set Fat 0.52 0.51 0.95 6.3-15.4 182 38
  16. 16. Ash Parameter SEC SEP R2 Range C-set V-set Ash 0.39 0.40 0.97 9.5-17.8 184 29
  17. 17. Salt Parameter SEC SECV R2 Range C-set Salt 0.31 0.55 0.97 2.2-8.4 53
  18. 18. TVN Parameter SEC SEP R2 Range C-set V-set TVN 1.9 1.9 0.92 0.7-30.0 123 24
  19. 19. Cadaverine Parameter SEC SEP R2 Range C-set V-set Cadaverine 109 218 0.96 100-1800 35 8
  20. 20. NIR Networks • Basic Ideas • Advantages • An example • Organisation • Calibration Monitoring • Standardisation • Instrument Monitoring • Costs
  21. 21. NIR Networks – Basic ideas • Ensuring a uniform, fair and cost effective form of quality assurance and basis for payment • A common accredited reference laboratory • Rapid analyses based on international standard methods • Easy-to-use analytical instruments with identical specifications • Minimized operator influence on results • ’Approved’ calibration models • All instruments are compared to a ’Master Instrument’
  22. 22. NIR Networks - Advantages • Centrally controlled calibration models and reference analyses • No local influence on results gives a uniform and fair classification of products • Simplified quality assurance for the users • Calibration monitoring through the network using web based software • Daily check sample • Powerful tool for implementing an Icelandic standard • Harmonized quality control on produced fishmeal
  23. 23. NIR Networks - Advantages • Building a common sample database • Better and more robust calibration models gives reliable analysis results • Few reference samples per network member -> Lower analysis costs! • Yearly updates • Reduced development costs for new analysis parameters and products, eg • Cadaverine • Raw materials • Same calibration models used for both process control and out-loading
  24. 24. NIR Network - Organisation Calibration Center Perten Applications Group Administration Center NetPlus Network Manager Networked Local instruments Reference Laboratory Master instrument
  25. 25. NIR Network - Organisation • Steering Committee • Representatives from users, reference laboratory and instrument supplier • Reference Laboratory • Matis Laboratories • Accreditations: ISO 17025, SWEDAC • Certification in acc. With ISO 9001 och ISO 14001 • Controls: • Ring tests in Iceland and Europe • Third party revisons by customers • Calibration Center • Perten Applications Group – Stockholm / Matis Reykjavik • Administration Center • Matis Neskaupstadur • Technical Support • Perten Technical Group – Stockholm & Icepack - Reykjavik
  26. 26. NIR Network – Calibration Monitoring • The Master Instrument is compared to reference analyses at the accredited laboratory • Samples are sent in by network members on a regular basis • Some 100 control samples collected from all participating factories each year • Results are available on the internet • NetPlus Reports – Web based reports software • Updated regularly with new samples
  27. 27. NIR Network - Standardisation • The Master is validated and adjusted against reference analyses • The Reference Laboratory sends out reference samples once a year for instrument control • Typically 10 samples per product type • Scanned on every instrument in the network • Scans collected via internet by the Admin. Center • Predicted results are compared to the Master • Individual instruments are adjusted via internet if needed
  28. 28. NIR Network - Standardisation • The Master is validated and adjusted against reference analyses 9.8 9.9 10 10.1 10.2 10.3 10.4 10.5 Reference lab DA7200 Master
  29. 29. NIR Network - Standardisation • Individual instruments are adjusted against the Master via internet if needed 8,5 10,0 11,5 m asterslave1slave 2 slave3 slave4 slave5 slave6 slave7 slave8 slave9slave10
  30. 30. NIR Network– Instrument monitoring Continuous monitoring of instrument stability • Instrument Self-Diagnostics • Daily Check Samples • Relevant sample material • Synthetic sample (Polystyrene) • Analyzed daily to confirm stability • Statistics in Results Plus instrument software
  31. 31. NIR Network – Outlier handling • ’Outliers’ during analysis • Samples that deviate from samples in the calibration sample database • Spectral difference or difference in content (range) • Sent to Reference Lab for chemical analysis • Added to calibration sample database for updating and improving calibration models
  32. 32. NetPlus Reports • Information on all reference samples is available for all participants in the network via internet
  33. 33. NIR Network – Costs Network price for the instrument • DA7250 NIR Analyzer: € 48 000 Annual fee • Xx xxx ISK per instrument Includes • Yearly standardisation against Master instrument • Specified number of reference analyses per year • Updated calibration models • Annual maintenance service of instruments • Remote support via internet
  34. 34. NIR Network – Summary Participating in an NIR Network cooperation • Simplified and cost-effective quality assurance • Increased credibility for NIR analyses • Quality certified by accredited laboratory • Reduced time spent and costs for upkeep of NIR analyses for product controls • Lower costs for developing new NIR analyses
  35. 35. Questions?
  36. 36. Your partner in Agri Food Quality Control

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