Mass Spectrometry Imaging in Food Analysis (eBook, ePUB)

Redaktion: Nollet, Leo M. L.

• Format: ePub

Produktbeschreibung

Analyzing the spatial distribution of food compounds using conventional technology is difficult. This book shows why the novel use of matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) will be ideal. MALDI-MS technology can detect compounds in a tissue section without extraction, purification, separation, or labeling.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 214
• Erscheinungstermin: 29. April 2020
• Englisch
• ISBN-13: 9780429765292
• Artikelnr.: 59356241

Autorenporträt

Leo M.L. Nollet

Inhaltsangabe

Contents
Series Preface vii
About the Editor ix
List of Contributors xi
Introduction xiii
SECTION 1 MASS SPECTROMETRY IMAGING
Chapter 1 Mass Spectrometry Imaging 3
Leo M.L. Nollet
Chapter 2 Imaging Mass Spectrometry for Small Molecules 13
Fangbiao Li
SECTION 2 DIFFERENT METHODOLOGIES
Chapter 3 Matrix-Assisted Laser Desorption Ionization (MALDI)
and Atmospheric Pressure-MALDI (AP-MALDI) 37
Nrusingha Charan Basantia
Chapter 4 MALDI IMS for Proteins and Biomarkers 51
Michelle L. Reyzer and Richard M. Caprioli
Chapter 5 Secondary-Ion Mass Spectrometry 73
Leo M.L. Nollet
Chapter 6 Desorption Electrospray Ionization Mass Spectrometry
Imaging in Food Applications 81
Semih Ötle¿ and Vasfiye Hazal Özyurt
Chapter 7 Liquid Extraction Surface Analysis 91
Leo M.L. Nollet
Chapter 8 Laser Ablation Inductively Coupled Plasma Mass
Spectrometry 95
Leo M.L. Nollet
Chapter 9 Different Mass Spectrometry Imaging Methods 103
Sadaf Jamal Gilani, Chandrakala, and Md. Taleu Zzaman
SECTION 3 AMBIENT MASS SPECTROMETRY TECHNIQUES
Chapter 10 Introduction to Ambient Mass Spectrometry Techniques 119
Raquel Sero, Maria Teresa Galceran, Encarnacion Moyano, and
Leo M.L. Nollet
Chapter 11 Use of an "Intelligent Knife" (iknife), Based on the Rapid
Evaporative Ionization Mass Spectrometry Technology, for
Authenticity Assessment of Pistachio Samples 159
Francesca Rigano, Sara Stead, Domenica Mangraviti, Renata
Jandova, Davy Petit, Nino Marino, and Luigi Mondello
SECTION 4 DATA HANDLING
Chapter 12 Comparison of Machine Learning Algorithms for Predictive
Modeling of Beef Attributes Using Rapid Evaporative
Ionization Mass Spectrometry (REIMS) Data 181
Devin A. Gredell, Amelia R. Schroeder, Keith E. Belk, Corey D.
Broeckling, Adam L. Heuberger, Soo-Young Kim, D. Andy King,
Steven D. Shackelford, Julia L. Sharp, Tommy L. Wheeler, Dale R.
Woerner, and Jessica E. Prenni
Index 195