Problem-Oriented Analytical Chemistry Driven by Chemometrics
Language: English
Published by Elsevier Science, 2026
- Softcover
- New
Condition: New
£ 197.20
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Presents a novel, problem-oriented approach to using chemometrics based on case studiesConsiders the most common analytical techniques, looking at case studies of applications and how to get sound information from their signalsProv.
Seller Inventory # 2209849464
- Title
- Problem-Oriented Analytical Chemistry Driven by Chemometrics
- Publisher
- Elsevier Science
- Publication year
- 2026
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 0443221634
- ISBN 13
- 9780443221637
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.
- 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
"Synopsis" may belong to another edition of this title.
About the Author
Ana María Jiménez-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 Coruña, 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.
"About the title" may belong to another edition of this title.
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