Handbook of Near-Infrared AnalysisDonald A. Burns, Emil W. Ciurczak CRC Press, 2007 M09 7 - 834 pages Fast, inexpensive, and easy-to-use, near-infrared (NIR) spectroscopy can be used to analyze small samples of virtually any composition. The Handbook of Near Infrared Analysis, Third Edition explains how to perform accurate as well as time- and cost-effective analyses across a growing spectrum of disciplines. Presenting nearly 50% new and re |
Contents
| 3 | |
| 7 | |
| 21 | |
Instrumentation and Calibration | 65 |
Chapter 4 Commercial NIR Instrumentation | 67 |
Chapter 5 Fourier Transform Spectrophotometers in the NearInfrared | 79 |
Chapter 6 Analysis Using Fourier Transforms | 93 |
Chapter 7 NIR Spectroscopy Calibration Basics | 123 |
Chapter 21 NearInfrared Spectra of Gases | 439 |
Chapter 22 Application for NIR Analysis of Beverages | 457 |
Chapter 23 NIR Analysis of Wool | 465 |
A Study with Lignocellulose | 479 |
Chapter 25 NIR Analysis of Textiles | 485 |
Chapter 26 Recent Advances in the Use of NearIR Spectroscopy in the Petrochemical Industry | 521 |
Chapter 27 NIR Analysis of Polymers | 529 |
The Analysis of Bowling Lane Condition Using NearInfrared Reflectance Spectroscopy | 569 |
Multilinear Regression and Principal Component Analysis | 151 |
Calibration of NIR Instruments by PLS Regression | 189 |
Chapter 10 Aspects of Multivariate Calibration Applied to NearInfrared Spectroscopy | 207 |
Chapter 11 Transfer of Multivariate Calibration Models Based on NearInfrared Spectroscopy | 231 |
Chapter 12 Calibration and Validation of Process Sensors | 245 |
Methods Development | 265 |
Chapter 13 Sampling Sample Preparation and Sample Selection | 267 |
How They May Save Time and Money in NIR Analysis | 297 |
Chapter 15 Qualitative Discriminant Analysis | 307 |
Chapter 16 Spectral Reconstruction | 333 |
Applications | 345 |
Chapter 17 Application of NIR Spectroscopy to Agricultural Products | 347 |
Chapter 18 The Role of NearInfrared Spectroscopy in Verifying Label Information in AgroForestry Products | 387 |
Chapter 19 NIR Analysis of Cereal Products | 399 |
Chapter 20 NIR Analysis of Dairy Products | 415 |
Chapter 29 Process Analytical Technologies PAT in the Pharmaceutical Industry | 581 |
Chapter 30 Pharmaceutical Applications of NearInfrared Spectroscopy | 585 |
Qualitative and Quantitative Analysis of Ingredients Process Blends and Final Products | 613 |
Chapter 32 Your Viagras Genuine Imitation or Counterfeit? | 631 |
Chapter 33 Biomedical Applications of NearInfrared Spectroscopy | 647 |
Chapter 34 NearInfrared Spectrometry in Cardiovascular Disease | 657 |
Chapter 35 In Vivo and In Vitro NearInfrared Spectroscopic Determination of Blood Glucose and Other Biomedical Components with Chemometrics | 673 |
Chapter 36 Plastics Analysis at Two National Laboratories | 699 |
Chapter 37 Process Analysis | 717 |
Chapter 38 Detection of Counterfeit Currency and Turquoise | 761 |
Can NearInfrared Detect Them? | 775 |
Chapter 40 Local Methods and CARNACD | 781 |
| 797 | |
Back cover | 817 |
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Handbook of Near-Infrared Analysis, Third Edition Donald A. Burns,Emil W. Ciurczak No preview available - 2007 |
Common terms and phrases
absorbance absorption bands algorithm Anal analyzed Appl application batches calculated calibration equation calibration model calibration samples calibration set cell Chem chemical chemometric combination composition concentration constituent derivative detector determination developed diffuse reflectance elastin factors fiber filter Fourier transform FT-NIR function glucose heatset hydrogen bonding informative regions InfraAlyzer Infrared Infrared Spectroscopy laboratory layer linear liquid Mahalanobis distance manufacturing material matrix measurement mixtures moisture content monitoring multivariate MWPLSR Near-Infrared Spectroscopy NIR analysis NIR calibration NIR instrument NIR method NIR spectra NIR spectroscopy NIRA obtained optical optimized overtone parameters partial least squares particle performed pharmaceutical plot polymer prediction principal component analysis principal components protein quantitative radiation range reference method regression residual sample preparation scanning scattering selected sensor spectrophotometer Spectrosc spectrum statistical studentized residuals Table tablets technique textile validation values variables variation Viagra vibrations Wavelength nm Wavenumber wheat yarns