Handbook of Near-Infrared Analysis

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

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• Análise de espectro, spectrochemistry, espectrometria de massa

Moisture Contents;NIR Analysis;NIR;Sample Preparation;near-infrared spectroscopy;PLS;NIS spectra;NIR Spectrum;diffuse reflection;NIR Spectroscopy;analyze small samples;MLR;Near-infrared analysis;NIRS Calibration;Hyperspectral Imaging;Calibration transfer;NIR Measurement;Instrument performance testing;PLS Regression;Computerization;NIRS Model;NIR Calibration;NIR Spectroscopy Imaging;NIR Method;RMSEP;NIR Imaging;Calibration Set;NIR Application;PLS Factor;PLS Model;NIR Instrument;EMSC;Kennard Stone Algorithm;NIR Spectrometer