
Problem-Oriented Analytical Chemistry Driven by Chemometrics
Elsevier (Publisher)
Will be published approx. on 25. November 2025
Book
Paperback/Softback
352 pages
978-0-443-22163-7 (ISBN)
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.
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.
More details
Language
English
Place of publication
Philadelphia
United States
Target group
Professional and scholarly
College/higher education
Dimensions
Height: 276 mm
Width: 216 mm
Weight
450 gr
ISBN-13
978-0-443-22163-7 (9780443221637)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Luis Cuadros Rodríguez | Ana María Jimenez-Carvelo | Jose M Andrade-Garda
Problem-Oriented Analytical Chemistry Driven by Chemometrics
E-Book
12/2025
Elsevier
€190.00
Available for download
Persons
Luis Cuadros-Rodriguez is tenured full Professor of Analytical Chemistry at the University of Granada, Spain. He has worked in the field of Chemometrics, Chemical Metrology and Qualimetrics for many years. His focus is on developing protocols to optimize and validate analytical processes and methods. The authentication of olive oil was the main matter of his research, looking for analytical methods which can detect frauds in this 'gold' liquid. As a result, many innovative methodologies were published, most of them combining chemometrics and chromatography to get highly reliable results. In particular, he has contributed to lay down the basis of chromatographic fingerprinting methodology as a tool of major relevance in the field of food authentication. In addition, his research team has recently proposed a strategy to make chromatographic signals independent of the instrument itself or its state of maintenance, which has been termed 'instrument-agnostization'. Ana Maria Jimenez-Carvelo is a postdoctoral researcher at the University of Granada, Spain since 2018. Her research is focused on the application of chemometrics to the chemical authentication of food, using the fingerprinting methodology applying chromatographic (GC and LC) and spectrometric (IR, Raman) techniques. Her current research aims at i) improving and developing innovative fast-analytical methods to quality control of food, as well as to minimize the use of solvents using the fingerprinting methodology, and (ii) exploring the application of chemometric/data mining algorithms on data obtained by advanced analytical techniques in order to assess the authenticity of food products without the need to identify any specific compound.
In these lines she has played an important role in developing new multivariate analytical methods of classification and quantification in analytical food chemistry, especially in the olive oil field. Jose M. Andrade-Garda is a full professor of Analytical Chemistry at the University of A Coruna, Spain since 2011. During his Ph.D. he worked in a refinery as a quality control technician. Currently his main interests are on multivariate data analysis in the environmental and petrochemical fields, mainly IR applications to speed quality control procedures in several manufacturing environments. He has also contributed to novel applications of multivariate modelling (in particular, PLS) to atomic spectrometry. At present, he is focused on microplastics analysis in several environmental matrices and their subsequent spectral identification.
In these lines she has played an important role in developing new multivariate analytical methods of classification and quantification in analytical food chemistry, especially in the olive oil field. Jose M. Andrade-Garda is a full professor of Analytical Chemistry at the University of A Coruna, Spain since 2011. During his Ph.D. he worked in a refinery as a quality control technician. Currently his main interests are on multivariate data analysis in the environmental and petrochemical fields, mainly IR applications to speed quality control procedures in several manufacturing environments. He has also contributed to novel applications of multivariate modelling (in particular, PLS) to atomic spectrometry. At present, he is focused on microplastics analysis in several environmental matrices and their subsequent spectral identification.
Editor
Professor, Analytical Chemistry, University of Granada, Spain
Postdoctoral Researcher, Department of Analytical Chemistry, University of Granada, Spain
Professor, Analytical Chemistry, University of A Coruna, Spain
Content
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 (?FADs)
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 (?FADs)
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)