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.
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.
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
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
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