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Author:   Alessandra Biancolillo (Researcher, University of L’Aquila, Spain)
Publisher:   Elsevier - Health Sciences Division
Imprint:   Elsevier - Health Sciences Division
Weight:   0.450kg
ISBN:  

9780443215865

ISBN 10:   0443215863
Pages:   278
Publication Date:   04 June 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

1. Spectral data pre-processing methods and strategies 2. Chromatographic Data alignment and pre-treatment 3. Grasping in the darkness: exploratory analysis and unsupervised explorative methods 4. Classical and cutting-edge regression methods 5. Looking for significant connections: an overview on classification methods 6. Unity makes strength: multi-block strategies for data analysis 7. Straight to the target: Up-to-date advanced technologies for food quality control and forensic applications 8. Targeted and untargeted approaches in food and forensic sciences 9. A picture is worth one thousand words: multivariate and hyperspectral image analysis of complex matrices 10. On the crime scene: Chemometrics for food frauds detection, quality control and other applications in food science 11. On the crime scene II: Chemometrics in forensic science 12. On the crime scene III: multi-block chemometrics for food frauds detection, quality control and other applications in forensic science

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Author Information

Dr. Alessandra Biancolillo attained her PhD Degree in Spectroscopy and Chemometrics by the University of Copenhagen (KU) working on a joint project between the Norwegian Institute for Food and Fishery (NOFIMA) and KU. After this, she has been a post-doc researcher at the University of Rome “La Sapienza”, at the Catholic University of the Sacred Heart School of Medicine (Rome, Italy) and an ingénieurs de recherché (post-doc researcher) at the IRSTEA institute in Montpellier (France). Since 2019, she is researcher at the University of L’Aquila (Italy). Her main research topics are multi-block analysis, classification method development and feature selection.

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