Handbook of Near-Infrared Analysis (eBook, PDF)
Redaktion: Ciurczak, Emil W.; Burns, Donald A.; Workman Jr., Jerome; Igne, Benoît
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Handbook of Near-Infrared Analysis (eBook, PDF)
Redaktion: Ciurczak, Emil W.; Burns, Donald A.; Workman Jr., Jerome; Igne, Benoît
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This newly revised edition incorporates the latest advances in instrumentation, computerization, calibration, and method development in NIR spectroscopy and underscores current trends in sample preparation, calibration transfer, process control, data analysis, and commercial NIR instrumentation.
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This newly revised edition incorporates the latest advances in instrumentation, computerization, calibration, and method development in NIR spectroscopy and underscores current trends in sample preparation, calibration transfer, process control, data analysis, and commercial NIR instrumentation.
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Produktdetails
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 938
- Erscheinungstermin: 19. Mai 2021
- Englisch
- ISBN-13: 9781351269872
- Artikelnr.: 61476474
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 938
- Erscheinungstermin: 19. Mai 2021
- Englisch
- ISBN-13: 9781351269872
- Artikelnr.: 61476474
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Emil W. Ciurczak, Donald A. Burns
Chapter 1 History of NIRS Development Part I Physics Chapter 2 Introduction
to the Physics of Light Scattering Chapter 3 Principles of Diffuse
Reflectance Spectroscopy Chapter 4 Spectral Interpretation Part II
Instrumentation Chapter 5 Traditional NIR Instrumentation Chapter 6 NIR:
21st-Century Innovations Chapter 7 NIR Hyperspectral Imaging Chapter 8 NIR
Instrument Sampling Configurations Chapter 9 Instrument Performance
Calibration Chapter 10 Standards for Near-Infrared Analysis Part III
Modeling/Chemometrics Chapter 11 Pattern Recognition Applied to the
Classification of Near-Infrared Spectra Chapter 12 Supervised Methods: MLR,
PCR, and MCR Chapter 13 Bayesian Regression for Chemical Calibrations of
NIR Spectra Chapter 14 Derivative Quotient Method Regression, or the Norris
Regression Chapter 15 Preprocessing Methods in NIR Spectroscopy Chapter 16
Pretreatments by Orthogonal Projections Chapter 17 Calibration Transfer
Part IV Method Development Chapter 18 Practical Aspects of Sampling for
NIRS Analysis Chapter 19 A Framework for Representative Sampling for NIR
Analysis ¿ Theory of Sampling (TOS) Chapter 20 Volume Fraction vs. Weight
Fraction Chapter 21 Process Measurements Chapter 22 Validation Chapter 23
Method Development and Lifecycle Part V Applications Applications -
Agriculture/Food Chapter 24 Application of NIR for Analysis of Beverages
Chapter 25 Applications of NIR Spectroscopy in the Confectionary Industry
Chapter 26 NIR Analysis of Wheat Products Chapter 27 Application of NIR
Spectroscopy to the Analysis of Forages Chapter 28 NIRS Is Ripe for Use in
Horticulture Chapter 29 Grains Chapter 30 Innovation in the Meat Industry
Using Novel Near-Infrared Spectroscopy Sensors Chapter 31 NIR Analysis of
Dairy Products Applications - Aquaphotomics Chapter 32 Aquaphotomics
Applications - Biopharmaceutical Chapter 33 Bioprocesses Applications -
fNIR Chapter 34 Near-Infrared Spectroscopy Imaging of Biological Materials
and Systems Chapter 35 Blood Analysis by NIR Spectroscopy Chapter 36
Analysis of Vascular Tissue Using NIR Spectrometry Applications - Forestry
Chapter 37 Application of NIR Spectroscopy to Wood and Wood-Derived
Products Applications - Petrochemicals Chapter 38 NIR Spectroscopy Applied
to the Oil and Gas Industry Chapter 39 NIR Applied to Polymer Analysis
Applications - Pharmaceuticals Chapter 40 Pharmaceutical Analysis
Applications - Remote Sensing and Soil Analysis Chapter 41 Soil Sensing by
Visible and Infrared Radiation Applications - Textiles Chapter 42 NIR
Analysis of Textiles
to the Physics of Light Scattering Chapter 3 Principles of Diffuse
Reflectance Spectroscopy Chapter 4 Spectral Interpretation Part II
Instrumentation Chapter 5 Traditional NIR Instrumentation Chapter 6 NIR:
21st-Century Innovations Chapter 7 NIR Hyperspectral Imaging Chapter 8 NIR
Instrument Sampling Configurations Chapter 9 Instrument Performance
Calibration Chapter 10 Standards for Near-Infrared Analysis Part III
Modeling/Chemometrics Chapter 11 Pattern Recognition Applied to the
Classification of Near-Infrared Spectra Chapter 12 Supervised Methods: MLR,
PCR, and MCR Chapter 13 Bayesian Regression for Chemical Calibrations of
NIR Spectra Chapter 14 Derivative Quotient Method Regression, or the Norris
Regression Chapter 15 Preprocessing Methods in NIR Spectroscopy Chapter 16
Pretreatments by Orthogonal Projections Chapter 17 Calibration Transfer
Part IV Method Development Chapter 18 Practical Aspects of Sampling for
NIRS Analysis Chapter 19 A Framework for Representative Sampling for NIR
Analysis ¿ Theory of Sampling (TOS) Chapter 20 Volume Fraction vs. Weight
Fraction Chapter 21 Process Measurements Chapter 22 Validation Chapter 23
Method Development and Lifecycle Part V Applications Applications -
Agriculture/Food Chapter 24 Application of NIR for Analysis of Beverages
Chapter 25 Applications of NIR Spectroscopy in the Confectionary Industry
Chapter 26 NIR Analysis of Wheat Products Chapter 27 Application of NIR
Spectroscopy to the Analysis of Forages Chapter 28 NIRS Is Ripe for Use in
Horticulture Chapter 29 Grains Chapter 30 Innovation in the Meat Industry
Using Novel Near-Infrared Spectroscopy Sensors Chapter 31 NIR Analysis of
Dairy Products Applications - Aquaphotomics Chapter 32 Aquaphotomics
Applications - Biopharmaceutical Chapter 33 Bioprocesses Applications -
fNIR Chapter 34 Near-Infrared Spectroscopy Imaging of Biological Materials
and Systems Chapter 35 Blood Analysis by NIR Spectroscopy Chapter 36
Analysis of Vascular Tissue Using NIR Spectrometry Applications - Forestry
Chapter 37 Application of NIR Spectroscopy to Wood and Wood-Derived
Products Applications - Petrochemicals Chapter 38 NIR Spectroscopy Applied
to the Oil and Gas Industry Chapter 39 NIR Applied to Polymer Analysis
Applications - Pharmaceuticals Chapter 40 Pharmaceutical Analysis
Applications - Remote Sensing and Soil Analysis Chapter 41 Soil Sensing by
Visible and Infrared Radiation Applications - Textiles Chapter 42 NIR
Analysis of Textiles
Chapter 1 History of NIRS Development Part I Physics Chapter 2 Introduction
to the Physics of Light Scattering Chapter 3 Principles of Diffuse
Reflectance Spectroscopy Chapter 4 Spectral Interpretation Part II
Instrumentation Chapter 5 Traditional NIR Instrumentation Chapter 6 NIR:
21st-Century Innovations Chapter 7 NIR Hyperspectral Imaging Chapter 8 NIR
Instrument Sampling Configurations Chapter 9 Instrument Performance
Calibration Chapter 10 Standards for Near-Infrared Analysis Part III
Modeling/Chemometrics Chapter 11 Pattern Recognition Applied to the
Classification of Near-Infrared Spectra Chapter 12 Supervised Methods: MLR,
PCR, and MCR Chapter 13 Bayesian Regression for Chemical Calibrations of
NIR Spectra Chapter 14 Derivative Quotient Method Regression, or the Norris
Regression Chapter 15 Preprocessing Methods in NIR Spectroscopy Chapter 16
Pretreatments by Orthogonal Projections Chapter 17 Calibration Transfer
Part IV Method Development Chapter 18 Practical Aspects of Sampling for
NIRS Analysis Chapter 19 A Framework for Representative Sampling for NIR
Analysis ¿ Theory of Sampling (TOS) Chapter 20 Volume Fraction vs. Weight
Fraction Chapter 21 Process Measurements Chapter 22 Validation Chapter 23
Method Development and Lifecycle Part V Applications Applications -
Agriculture/Food Chapter 24 Application of NIR for Analysis of Beverages
Chapter 25 Applications of NIR Spectroscopy in the Confectionary Industry
Chapter 26 NIR Analysis of Wheat Products Chapter 27 Application of NIR
Spectroscopy to the Analysis of Forages Chapter 28 NIRS Is Ripe for Use in
Horticulture Chapter 29 Grains Chapter 30 Innovation in the Meat Industry
Using Novel Near-Infrared Spectroscopy Sensors Chapter 31 NIR Analysis of
Dairy Products Applications - Aquaphotomics Chapter 32 Aquaphotomics
Applications - Biopharmaceutical Chapter 33 Bioprocesses Applications -
fNIR Chapter 34 Near-Infrared Spectroscopy Imaging of Biological Materials
and Systems Chapter 35 Blood Analysis by NIR Spectroscopy Chapter 36
Analysis of Vascular Tissue Using NIR Spectrometry Applications - Forestry
Chapter 37 Application of NIR Spectroscopy to Wood and Wood-Derived
Products Applications - Petrochemicals Chapter 38 NIR Spectroscopy Applied
to the Oil and Gas Industry Chapter 39 NIR Applied to Polymer Analysis
Applications - Pharmaceuticals Chapter 40 Pharmaceutical Analysis
Applications - Remote Sensing and Soil Analysis Chapter 41 Soil Sensing by
Visible and Infrared Radiation Applications - Textiles Chapter 42 NIR
Analysis of Textiles
to the Physics of Light Scattering Chapter 3 Principles of Diffuse
Reflectance Spectroscopy Chapter 4 Spectral Interpretation Part II
Instrumentation Chapter 5 Traditional NIR Instrumentation Chapter 6 NIR:
21st-Century Innovations Chapter 7 NIR Hyperspectral Imaging Chapter 8 NIR
Instrument Sampling Configurations Chapter 9 Instrument Performance
Calibration Chapter 10 Standards for Near-Infrared Analysis Part III
Modeling/Chemometrics Chapter 11 Pattern Recognition Applied to the
Classification of Near-Infrared Spectra Chapter 12 Supervised Methods: MLR,
PCR, and MCR Chapter 13 Bayesian Regression for Chemical Calibrations of
NIR Spectra Chapter 14 Derivative Quotient Method Regression, or the Norris
Regression Chapter 15 Preprocessing Methods in NIR Spectroscopy Chapter 16
Pretreatments by Orthogonal Projections Chapter 17 Calibration Transfer
Part IV Method Development Chapter 18 Practical Aspects of Sampling for
NIRS Analysis Chapter 19 A Framework for Representative Sampling for NIR
Analysis ¿ Theory of Sampling (TOS) Chapter 20 Volume Fraction vs. Weight
Fraction Chapter 21 Process Measurements Chapter 22 Validation Chapter 23
Method Development and Lifecycle Part V Applications Applications -
Agriculture/Food Chapter 24 Application of NIR for Analysis of Beverages
Chapter 25 Applications of NIR Spectroscopy in the Confectionary Industry
Chapter 26 NIR Analysis of Wheat Products Chapter 27 Application of NIR
Spectroscopy to the Analysis of Forages Chapter 28 NIRS Is Ripe for Use in
Horticulture Chapter 29 Grains Chapter 30 Innovation in the Meat Industry
Using Novel Near-Infrared Spectroscopy Sensors Chapter 31 NIR Analysis of
Dairy Products Applications - Aquaphotomics Chapter 32 Aquaphotomics
Applications - Biopharmaceutical Chapter 33 Bioprocesses Applications -
fNIR Chapter 34 Near-Infrared Spectroscopy Imaging of Biological Materials
and Systems Chapter 35 Blood Analysis by NIR Spectroscopy Chapter 36
Analysis of Vascular Tissue Using NIR Spectrometry Applications - Forestry
Chapter 37 Application of NIR Spectroscopy to Wood and Wood-Derived
Products Applications - Petrochemicals Chapter 38 NIR Spectroscopy Applied
to the Oil and Gas Industry Chapter 39 NIR Applied to Polymer Analysis
Applications - Pharmaceuticals Chapter 40 Pharmaceutical Analysis
Applications - Remote Sensing and Soil Analysis Chapter 41 Soil Sensing by
Visible and Infrared Radiation Applications - Textiles Chapter 42 NIR
Analysis of Textiles