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Explores the impact of the latest breakthroughs in cluster SIMS technology Cluster secondary ion mass spectrometry (SIMS) is a high spatial resolution imaging mass spectrometry technique, which can be used to characterize the three-dimensional chemical structure in complex organic and molecular systems. It works by using a cluster ion source to sputter desorb material from a solid sample surface. Prior to the advent of the cluster source, SIMS was severely limited in its ability to characterize soft samples as a result of damage from the atomic source. Molecular samples were essentially…mehr
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- Produktdetails
- Verlag: John Wiley & Sons
- Seitenzahl: 368
- Erscheinungstermin: 9. April 2013
- Englisch
- ISBN-13: 9781118589250
- Artikelnr.: 38246983
- Verlag: John Wiley & Sons
- Seitenzahl: 368
- Erscheinungstermin: 9. April 2013
- Englisch
- ISBN-13: 9781118589250
- Artikelnr.: 38246983
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
6 and C
8 Depth Profiling 258 7.4.5 Os3(CO)12 and Ir4(CO)12 Primary Ion Beams 262 7.4.6 C + 60 Primary Ion Beams 263 7.4.7 Massive Gaseous Cluster Ion Beams 265 7.5 Conclusions and Future Prospects 266 References 266 8 CLUSTER TOF-SIMS IMAGING AND THE CHARACTERIZATION OF BIOLOGICAL MATERIALS 269 John Vickerman and Nick Winograd 8.1 Introduction 269 8.2 The Capabilities of TOF-SIMS for Biological Analysis 270 8.3 New Hybrid TOF-SIMS Instruments 270 8.3.1 Introduction 270 8.3.2 Benefits of New DC Beam Technologies 271 8.4 Challenges in the Use of TOF-SIMS for Biological Analysis 273 8.4.1 Sample Handling of Biological Samples for Analysis in Vacuum 273 8.4.2 Analysis is Limited to Small to Medium Size Molecules 274 8.4.3 Ion Yields Limit Useful Spatial Resolution for Molecular Analysis to not Much Better than 1
m 275 8.4.4 Matrix Effects Inhibit Application in Discovery Mode and Greatly Complicates Quantification 275 8.4.5 The Complexity of Biological Systems can Result in Data Sets that Need Multivariate Analysis (MVA) to Unravel 276 8.5 Examples of Biological Studies Using Cluster-TOF-SIMS 276 8.5.1 Analysis of Tissue 277 8.5.2 Drug Location in Tissue 285 8.5.3 Microbial Mat-Surface and Subsurface Analysis in Streptomyces 289 8.5.4 Cells 291 8.5.5 Depth Scale Measurement 302 8.5.6 High Throughput Biomaterials Characterization 306 8.6 Final Thoughts and Future Directions 310 Acknowledgments 310 References 310 9 FUTURE CHALLENGES AND PROSPECTS OF CLUSTER SIMS 313 Peter Williams and Christine M. Mahoney 9.1 Introduction 313 9.2 The Cluster Niche 314 9.3 Cluster Types 314 9.4 The Challenge of Massive Molecular Ion Ejection 315 9.4.1 Comparing with MALDI: The Gold Standard 316 9.4.2 Particle Impact Techniques 317 9.5 Ionization 318 9.5.1 "Preformed" Ions 319 9.5.2 Radical Ions and Ion Fragments 319 9.5.3 Ionization Processes for Massive Clusters 320 9.6 Matrix Effects and Challenges in Quantitative Analysis 321 9.7 SIMS Instrumentation 322 9.7.1 Massive Cluster Ion Source Technology 323 9.8 Prospects for Biological Imaging 324 9.9 Conclusions 325 References 326 Index 329
6 and C
8 Depth Profiling 258 7.4.5 Os3(CO)12 and Ir4(CO)12 Primary Ion Beams 262 7.4.6 C + 60 Primary Ion Beams 263 7.4.7 Massive Gaseous Cluster Ion Beams 265 7.5 Conclusions and Future Prospects 266 References 266 8 CLUSTER TOF-SIMS IMAGING AND THE CHARACTERIZATION OF BIOLOGICAL MATERIALS 269 John Vickerman and Nick Winograd 8.1 Introduction 269 8.2 The Capabilities of TOF-SIMS for Biological Analysis 270 8.3 New Hybrid TOF-SIMS Instruments 270 8.3.1 Introduction 270 8.3.2 Benefits of New DC Beam Technologies 271 8.4 Challenges in the Use of TOF-SIMS for Biological Analysis 273 8.4.1 Sample Handling of Biological Samples for Analysis in Vacuum 273 8.4.2 Analysis is Limited to Small to Medium Size Molecules 274 8.4.3 Ion Yields Limit Useful Spatial Resolution for Molecular Analysis to not Much Better than 1
m 275 8.4.4 Matrix Effects Inhibit Application in Discovery Mode and Greatly Complicates Quantification 275 8.4.5 The Complexity of Biological Systems can Result in Data Sets that Need Multivariate Analysis (MVA) to Unravel 276 8.5 Examples of Biological Studies Using Cluster-TOF-SIMS 276 8.5.1 Analysis of Tissue 277 8.5.2 Drug Location in Tissue 285 8.5.3 Microbial Mat-Surface and Subsurface Analysis in Streptomyces 289 8.5.4 Cells 291 8.5.5 Depth Scale Measurement 302 8.5.6 High Throughput Biomaterials Characterization 306 8.6 Final Thoughts and Future Directions 310 Acknowledgments 310 References 310 9 FUTURE CHALLENGES AND PROSPECTS OF CLUSTER SIMS 313 Peter Williams and Christine M. Mahoney 9.1 Introduction 313 9.2 The Cluster Niche 314 9.3 Cluster Types 314 9.4 The Challenge of Massive Molecular Ion Ejection 315 9.4.1 Comparing with MALDI: The Gold Standard 316 9.4.2 Particle Impact Techniques 317 9.5 Ionization 318 9.5.1 "Preformed" Ions 319 9.5.2 Radical Ions and Ion Fragments 319 9.5.3 Ionization Processes for Massive Clusters 320 9.6 Matrix Effects and Challenges in Quantitative Analysis 321 9.7 SIMS Instrumentation 322 9.7.1 Massive Cluster Ion Source Technology 323 9.8 Prospects for Biological Imaging 324 9.9 Conclusions 325 References 326 Index 329