1 / 22

PARCEL software as an instrument for InfraLUM type spectrometers calibration

LUMEX. GROUP OF COMPANIES. Sushkova M.V., Zharinov K.A. PARCEL software as an instrument for InfraLUM type spectrometers calibration. www.lumex.biz. Purpose of PARCEL software. Data analyzed by PARCEL software. InfraLUM spectrometer NIR analyser Absorption spectra.

kendall-lucas
Download Presentation

PARCEL software as an instrument for InfraLUM type spectrometers calibration

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. LUMEX GROUP OF COMPANIES Sushkova M.V., Zharinov K.A. PARCEL software as an instrument for InfraLUM type spectrometers calibration www.lumex.biz

  2. Purpose of PARCEL software

  3. Data analyzed by PARCEL software • InfraLUM spectrometer • NIR analyser • Absorption spectra

  4. Data analyzed by PARCEL software • Properties: • Protein • Moisture • Oil • Starch • Gluten • Ash • Fiber • Hardness • Sedimentation value • Agriculturalindustry: crops • Wheat • Barley • Rye • Oats • Soya • Corn • Combined Grain (Wheat, Barley, Rye)

  5. Calibration model • Where: • XT – actually measured values, • Y – determined (unknown) properties of the object, • P – matrix of calibration coefficients, • E – matrix of errors. Calibration model

  6. How does the PARCEL software work

  7. Evaluation criteria Evaluation criteria for models: • Scores and Loadings, • RMSEC • RMSECV • RMSEP • R2 • Stability criterion F • Student's t distribution • Mahalanobis distance

  8. Evaluation of model Visual evaluation (Graphs):

  9. Evaluation of model Visual evaluation (Table):

  10. Algorithms • Algorithms: • PCR • PLS • HQO

  11. Number of Principal Components Principal components

  12. Boundary values and preprocessing • Preprocessing • Spectral range • Spectral points • (removing)

  13. Feature of PARCEL software The feature of the PARCEL software: program is adapted under the routine analysis: options to to simplify the operator's work • 3 ways to create the calibration model: • Enter specific model parameters (manual selection) • Optimization module (step-type optimization of parameters) • Optimization template (saved settings for each step)

  14. Optimization of calibration model Calibration model optimization

  15. Optimization of calibration model Calibration model optimization • Spectra • Spectral range • Preprocessing • Settings • Criteria

  16. Optimization of calibration model Calibration model optimization step-type optimization of parameters Step1. Adjusting the search of limits of the spectral range

  17. Optimization of calibration model Calibration model optimization step-type optimization of parameters Step2. Adjusting the search of limits of the spectral range

  18. Optimization of calibration model Calibration model optimization Automatical model correction Analysis of the spectral points

  19. Optimization of calibration model Calibration model optimization Automatical model correction Analysis on outliers

  20. Optimization of calibration model

  21. Template creation • Template can be created using step-type optimization • In created template: • settings for each step, • criterion of selection of optimal models for each step

  22. LUMEX GROUP OF COMPANIES www.lumex.biz

More Related