1st Edition

Mass Spectrometry Imaging in Food Analysis

Edited By Leo M.L. Nollet Copyright 2020
214 Pages 22 Color & 25 B/W Illustrations
by CRC Press

214 Pages 22 Color & 25 B/W Illustrations
by CRC Press

Food contains various compounds and many technologies exist to analyze those molecules of interest. However, the analysis of the spatial distribution of those compounds using conventional technology, such as liquid chromatography-mass spectrometry or gas chromatography-mass spectrometry is difficult. Mass spectrometry imaging (MSI) is a mass spectrometry technique to visualize the spatial... Read more
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 Ötleş 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

Biography

Leo M.L. Nollet