nir preprocessing with focus on nir Åsmund rinnan, frans van den berg, rasmus bro, søren balling...
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NIR
PreprocessingWith focus on NIR
Åsmund Rinnan , Frans van den Berg, Rasmus Bro, Søren Balling Engelsen, Lars Nørgaard , Jonas
Thygesen
NIR
Introduction
• How often is it used?• When is it used?• What methods are used?• Why is it used?
• NIR is a measurement technique “screaming” for preprocessing
Introduction
Techniques
Summary
NIR
IntroductionNIR
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Introduction
Techniques
Summary
NIR
IntroductionTechniques
• Correction of light scatter– MSC/ ISC– PMSC– EMSC/ EISC
• SNV• Derivation
– Norris&Williams– Savitsky&Golay
• Baseline-correction
• Normalization• Detrend• Use of reference
values– O-PLS– OSC– OS– SIS
Introduction
Techniques
Summary
NIR
IntroductionWhy
A “fat” baseline
Baseline with a slope/ curve
Nonlinearity
Introduction
Techniques
Summary
NIR
MSC
Reference
Raw
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ISC
• Offset• Normalization
Introduction
Techniques
Summary
1. P Geladi, D MacDougal, H Martens (1985): Linearization and scatter correction for near-infrared reflectance spectra of meat, Applied Spectroscopy, 39, 491-500
NIR
MSC/ ISC• Offset• Normalization
Introduction
Techniques
Summary
NIR
EISC
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1. H. Martens and E. Stark (1991): Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy, Journal of Pharmaceutical and Biomedicinal Analysis, 9, 625-635
2. H Martens, JP Nielsen, SB Engelsen (2003): Light scattering and light absorbance separated by extended multiplicative signal correction. The application to near-infrared transmission analysis of powder mixtures, Analytical chemistry, 75, 394-404
3. DK Pedersen, H Martens, JP Nielsen, SB Engelsen (2002): Near-Infrared Absorption and Scattering Separated by Extended Inverse Signal Correction (EISC): Analysis of Near-Infrared Transmittance Spectra of Single Wheat, Applied Spectroscopy, 56, 1206-1214
4. Thennadil, SN, Martin, EB (2005): Empirical preprocessing methods and their impact on NIR calibrations - a simulation study , Journal of Chemometrics, 19, 77-89
• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
EMSC(w/ 2. degree &
wavelength)• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
PxSC
X = EMEIMI
1. Isaksson, T.; Kowalski, B. R. (1993): Piece-wise multiplicative scatter correction applied to Near-Infrared diffuse transmittance data from meat products, Applied Spectroscopy, 47, 702-09
• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
PMSC(window size = 35)
• Offset• Normalization
Introduction
Techniques
Summary
NIR
SNV
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1. R.J. Barnes, M.S. Dhanoa, S.J. Lister (1989): Standard Normal Variate Transformation and De-trending of Near-Infrared Diffuse Reflectance Spectra, Applied Spectroscopy, 43, 772-777
• Offset• Normalization
Introduction
Techniques
Summary
NIR
SNV vs MSC
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MSC SNV
Introduction
Techniques
Summary
NIR
Detrend
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1. R.J. Barnes, M.S. Dhanoa, S.J. Lister (1989): Standard Normal Variate Transformation and De-trending of Near-Infrared Diffuse Reflectance Spectra, Applied Spectroscopy, 43, 772-777
• Offset• Baseline
Introduction
Techniques
Summary
NIR
DerivationSavitsky-Golay
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1. A Savitsky, MJE Golay (1964): Smoothing and differentiation of data by simplified least squares procedures, Analytical Chemistry, 36 (8), 1627-1639 2. P.A. Gorry (1990): General Least-Squares smoothing and differentiation by the convolution (Savitsky-Golay) method, Analytical Chemistry, 62, 570-573
• Offset• Baseline
Introduction
Techniques
Summary
NIR
DerivationSavitsky-Golay
• Offset• Baseline
Introduction
Techniques
Summary
NIR
DerivationSavitsky-Golay
• Offset• Baseline
Introduction
Techniques
Summary
NIR
DerivationNorris-Williams
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1. Norris, KH (1983): in Food Research and Data Analysis (Eds: Martens H and Russwurm H Jr), Applied Science, London, 95-114 2. Norris KH, Williams PC (1984): Optimization of mathematical treatments of raw near-infrared signal in the measurement of protein in hard red spring wheat: I.
Influence of particle size, Cereal Chemistry, 61, 158-165
• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
DerivationNorris-Williams
• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
DerivationNorris-Williams
• Offset• Baseline• Normalization
Introduction
Techniques
Summary
NIR
Preprocessing
• PMSC: Sensitivite to window size• EMSC: Small effect on baseline
Detrend is better• MSC and SNV are practical the
same• Savitsky-Golay is more robust
than Norris-Williams
Introduction
Techniques
Summary
NIR
Preprocessing
Offset
Baselinje
Normalization
(P)MSC/ISC/SNV
x x
(P)EMSC/EISC x x
Detrend x x
Deriveration x x x
Introduction
Techniques
Summary
NIR
Thanks for the attention
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