Problem-Oriented Analytical Chemistry Driven by Chemometrics
Editat de Luis Cuadros Rodríguez, Ana María Jimenez-Carvelo, Jose M Andrade-Gardaen Limba Engleză Paperback – 26 ian 2026
Many analytical chemists dealing with complex, real-world problems face significant difficulties extracting information from their data. In many cases, solutions are available in the chemometrics arena but relevant books are usually too technical and do not always focus on the 'general perspective' needed by the analyst when facing those complex tools.
- Presents a novel, problem-oriented approach to using chemometrics based on case studies
- Considers the most common analytical techniques, looking at case studies of applications and how to get sound information from their signals
- Provides an accessible perspective on chemometrics rather than simply presenting complex Mathematics and/or algorithms
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Specificații
ISBN-13: 9780443221637
ISBN-10: 0443221634
Pagini: 352
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0443221634
Pagini: 352
Dimensiuni: 216 x 276 mm
Greutate: 0.45 kg
Editura: ELSEVIER SCIENCE
Cuprins
A multivariate perspective on Analytical Chemistry
Part I: ACQUISITION, PROCESSING AND OPTIMIZATION OF ANALYTICS
Analytical signals, analytical data and instruments
Pre-processing of analytical signals and reduction of analytical data
Simultaneous multi-optimization of operational variables
Multi-objective and multi-response optimization
Part II: QUALITATIVE AND QUANTITATIVE CHARACTERIZATION OF MATERIAL SYSTEMS
Analytical data similarity
Analytical qualification of materials
Analytical quantification of analytes and materials
Variable selection for Analytical Chemistry data
Validation of multivariate analytical methods
Resolving mixtures of components
Standardization and transfer of multivariate analytical methods
N-way signals and data
Part III: CHEMOMETRIC SUPPORT FOR SPECIAL ANALYTICAL MATTERS
A picture is worth one thousand words: multivariate and hyperspectral image analysis of complex matrices
Data analysis for applications of microfluidic-based analytical devices (μFADs)
Data analysis for analytical applications of comprehensive two dimensional chromatography
Data analysis for analytical applications of mass spectrometry (MS) and related techniques
Data analysis for analytical applications of chromatography hybridized to mass spectrometry (MS) and ion mobility spectrometry (IMS)
Data analysis for analytical applications of nuclear magnetic resonance (NMR)
Part I: ACQUISITION, PROCESSING AND OPTIMIZATION OF ANALYTICS
Analytical signals, analytical data and instruments
Pre-processing of analytical signals and reduction of analytical data
Simultaneous multi-optimization of operational variables
Multi-objective and multi-response optimization
Part II: QUALITATIVE AND QUANTITATIVE CHARACTERIZATION OF MATERIAL SYSTEMS
Analytical data similarity
Analytical qualification of materials
Analytical quantification of analytes and materials
Variable selection for Analytical Chemistry data
Validation of multivariate analytical methods
Resolving mixtures of components
Standardization and transfer of multivariate analytical methods
N-way signals and data
Part III: CHEMOMETRIC SUPPORT FOR SPECIAL ANALYTICAL MATTERS
A picture is worth one thousand words: multivariate and hyperspectral image analysis of complex matrices
Data analysis for applications of microfluidic-based analytical devices (μFADs)
Data analysis for analytical applications of comprehensive two dimensional chromatography
Data analysis for analytical applications of mass spectrometry (MS) and related techniques
Data analysis for analytical applications of chromatography hybridized to mass spectrometry (MS) and ion mobility spectrometry (IMS)
Data analysis for analytical applications of nuclear magnetic resonance (NMR)