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Full Description
Problem-Oriented Analytical Chemistry Driven by Chemometrics covers challenges that are relevant to many fields using analytical techniques, including food quality and safety, environmental studies, product authentication, and petrochemistry using an analytical data science approach. The book's novel approach starts from case studies, allowing analytical chemists to understand how seemingly impenetrable chemometrics techniques can be applied to solve problems. It is written primarily to assist graduate and postdoc analytical chemists and early researchers, but has applicability to industry, too.
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.
Contents
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)
