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      Principles and clinical diagnostic applications of surface-enhanced raman spectroscopy

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      https://www.riss.kr/link?id=M16498542

      • 저자
      • 발행사항

        Amsterdam : Elsevier, [2022] ©2022

      • 발행연도

        2022

      • 작성언어

        영어

      • 주제어
      • DDC

        535.846 판사항(23)

      • ISBN

        9780128211212
        0128211210

      • 자료형태

        일반단행본

      • 발행국(도시)

        네덜란드

      • 서명/저자사항

        Principles and clinical diagnostic applications of surface-enhanced raman spectroscopy / edited by Yuling Wang

      • 형태사항

        xiii, 449 pages : illustrations (some color) ; 23 cm

      • 일반주기명

        Includes bibliographical references and index

      • 소장기관
        • 국립중앙도서관 국립중앙도서관 우편복사 서비스
        • 부산대학교 중앙도서관 소장기관정보
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      목차 (Table of Contents)

      • CONTENTS
      • List of contributors = xi
      • 1 Principles of surface-enhanced Raman spectroscopy / Xiang Wang ; Guokun Liu ; Ren Hu ; Maofeng Cao ; Sen Yan ; Yifan Bao ; Bin Ren = 1
      • 1.1 Introduction = 1
      • 1.2 Surface plasmon resonance = 3
      • CONTENTS
      • List of contributors = xi
      • 1 Principles of surface-enhanced Raman spectroscopy / Xiang Wang ; Guokun Liu ; Ren Hu ; Maofeng Cao ; Sen Yan ; Yifan Bao ; Bin Ren = 1
      • 1.1 Introduction = 1
      • 1.2 Surface plasmon resonance = 3
      • 1.3 Optical properties of metals = 4
      • 1.4 Local field enhancement = 6
      • 1.5 Surface-enhanced Raman spectroscopy enhancement and \E\4 approximation = 8
      • 1.6 Choice of metals = 10
      • 1.7 The effect of size and shape on the field enhancement = 11
      • 1.8 Hot spots and various configurations for SERS = 14
      • 1.9 Estimation of the surface enhancement factor = 18
      • 1.10 Chemical mechanism = 19
      • 1.11 Spectral analysis = 20
      • 1.12 Selection of SERS substrates = 23
      • 1.13 SERS detection modes = 24
      • 1.14 Key to the success of SERS measurements = 26
      • References = 27
      • 2 Nanoplasmonic materials for surface-enhanced Raman scattering / Shi Xuan Leong ; Yong Xiang Leong ; Charlynn Sher Lin Koh ; Jaslyn Ru Ting Chen ; Xing Yi Ling = 33
      • 2.1 The role of nanoplasmonic materials in surface-enhanced Raman scattering enhancement = 33
      • 2.2 Metallic nanoplasmonic materials = 36
      • 2.2.1 Shape-controlled synthesis of individual nanoparticles (0D / 1D) = 36
      • 2.2.2 Two-dimensional platforms for electromagnetic field enhancement = 42
      • 2.2.3 Three-dimensional platforms for electromagnetic field enhancement = 48
      • 2.2.4 Analyte manipulation strategies = 53
      • 2.3 Nonconventional surface-enhanced Raman scattering platforms = 63
      • 2.3.1 Bimetallic systems = 63
      • 2.3.2 Hybrid nanoplasmonic platforms = 65
      • 2.4 Conclusion and outlook = 72
      • References = 73
      • 3 Experimental aspects of surface-enhanced Raman scattering for biological applications / Shuping Xu = 81
      • 3.1 Combination ways of surface-enhanced Raman scattering substrates with the analytical systems = 81
      • 3.1.1 Colloidal metal nanoparticles = 82
      • 3.1.2 Solid-supported metal nanostructures = 92
      • 3.1.3 Other unique surface-enhanced Raman scattering substrates = 97
      • 3.2 Laser-related issues = 99
      • 3.2.1 Laser wavelength selection according to surface plasmon resonance = 99
      • 3.2.2 Laser wavelength and surface-enhanced resonance Raman scattering = 101
      • 3.2.3 Laser power setting and defocusing for avoiding photodamage = 102
      • 3.2.4 Light penetration depth for in vivo detection = 103
      • 3.3 Reproducibility and reliability = 105
      • 3.3.1 Mean spectra = 105
      • 3.3.2 Homogenization of sample = 105
      • 3.3.3 Controlled immobilization and orientation = 107
      • 3.3.4 Purification of the surface of surface-enhanced Raman scattering substrates = 108
      • 3.3.5 Contributions of media and reagents = 108
      • 3.3.6 Integration of surface-enhanced Raman scattering with microfluidics = 108
      • 3.3.7 Internal standard method = 109
      • 3.3.8 Reporters having bands in silent range = 110
      • 3.4 Raman data-related issues = 110
      • 3.4.1 Data processing = 110
      • 3.4.2 Chemometric sorting algorithm = 111
      • References = 113
      • 4 Label-free surface-enhanced Raman scattering for clinical applications / Alois Bonifacio = 125
      • 4.1 General aspects = 125
      • 4.1.1 Defining label-free surface-enhanced Raman scattering = 125
      • 4.2 Label-free SERS and the complexity of biological samples = 127
      • 4.3 Clinical needs and analytical strategies = 128
      • 4.4 Experimental aspects = 132
      • 4.4.1 Preanalytical sample processing = 132
      • 4.4.2 SERS substrates and the nano-bio interface = 134
      • 4.4.3 Excitation wavelengths = 137
      • 4.4.4 Common artifacts and anomalous bands = 140
      • 4.5 Study design and data analysis = 141
      • 4.5.1 Sources of variability = 141
      • 4.5.2 Data structure and sample size = 146
      • 4.5.3 Data analysis : preprocessing, representation, and modeling = 149
      • 4.6 Spectral interpretation = 158
      • 4.7 Perspectives and challenges = 163
      • References = 165
      • 5 Surface-enhanced Raman scattering nanotags design and synthesis / Xiao-Dong Zhou ; Xue Li ; Ai-Guo Shen = 171
      • 5.1 SERS nanotags and its optical properties = 171
      • 5.2 Clinical application of SERS nanotags : strategies and essence = 173
      • 5.3 SERS nanotags design and synthesis = 174
      • 5.3.1 Highly bright SERS nanotags : substrate construction = 175
      • 5.3.2 Weak-background SERS nanotags : signal output = 184
      • 5.3.3 Low-blinking SERS nanotags : surface coating = 198
      • 5.3.4 Multifunctional SERS nanotags : materials combination = 205
      • 5.4 Summary and prospect = 211
      • References = 215
      • 6 Surface-enhanced Raman spectroscopy for circulating biomarkers detection in clinical diagnosis / Yuan Liu ; Nana Lyu ; Alison Rodger ; Yuling Wang = 225
      • 6.1 Introduction = 225
      • 6.2 Sample preparation and detection methods = 228
      • 6.3 Circulating tumor cells = 229
      • 6.3.1 Features and current techniques for circulating tumor cells analysis = 229
      • 6.3.2 SERS strategy for CTCs analysis = 230
      • 6.3.3 SERS-based assays for CTCs analysis in clinical samples = 233
      • 6.3.4 Insights on SERS-based CTCs analysis in a clinical setting = 236
      • 6.4 SERS analysis of extracellular vesicles = 237
      • 6.4.1 Biological roles and current analysis techniques of extracellular vesicles = 237
      • 6.4.2 SERS strategies for EVs detection and characterization = 238
      • 6.4.3 SERS-based assay for EV analysis with clinical samples = 239
      • 6.4.4 Insights on SERS-based EVs analysis with clinical setting = 244
      • 6.5 SERS analysis of circulating tumor-derived nucleic acids = 245
      • 6.5.1 Biological significance and current analysis techniques for ctNAs = 245
      • 6.5.2 SERS strategies for ctNAs analysis = 248
      • 6.5.3 ctDNA analysis by SERS = 252
      • 6.5.4 ctRNA analysis by SERS = 257
      • 6.5.5 Insights into SERS-based ctNAs analysis with clinical samples = 261
      • 6.6 Tumor-associated proteins = 262
      • 6.6.1 Clinical significance and current analysis techniques of circulating proteins = 262
      • 6.6.2 SERS-based strategy for protein analysis = 263
      • 6.6.3 Insights on SERS-based assays for disease-associated protein detection = 270
      • 6.7 Conclusions and perspectives = 270
      • References = 271
      • 7 Surface-enhanced Raman spectroscopy-based microfluidic devices for in vitro diagnostics / Anupam Das ; Jaebum Choo = 281
      • 7.1 Introduction = 281
      • 7.2 Various surface-enhanced Raman spectroscopy-based microfluidic devices for in vitro diagnostics = 283
      • 7.2.1 Application of paper-based microfluidics = 284
      • 7.2.2 Magnetic particle-based microfluidics = 288
      • 7.2.3 Gold-patterned microarray-embedded microfluidic platforms = 292
      • 7.2.4 Continuous-flow microfluidics = 294
      • 7.2.5 Surface-enhanced Raman spectroscopy assays using droplet-based microfluidics = 295
      • 7.3 Summary = 299
      • Acknowledgment = 299
      • References = 299
      • 8 SERS for sensing and imaging in live cells / Janina Kneipp = 303
      • 8.1 Recent trends in SERS from animal cells : probe of cellular biochemistry = 303
      • 8.2 Biomolecular SERS from intracellular nanoprobes = 304
      • 8.3 Probing lipid-rich environments in pathology = 307
      • 8.4 SERS for monitoring of drug action = 310
      • 8.5 Composite SERS probes for intracellular applications with different physical functions = 313
      • Acknowledgments = 319
      • References = 319
      • 9 iSERS microscopy : point-of-care diagnosis and tissue imaging / Yuying Zhang ; Vi. Tran ; Mujo Adanalic ; Sebastian Schliicker = 327
      • 9.1 Point-of-care diagnosis = 327
      • 9.1.1 Principle of a lateral flow assay = 329
      • 9.1.2 SERS-based lateral flow assay = 332
      • 9.1.3 SERS-based multiplex lateral flow assay = 337
      • 9.1.4 Portable Raman / SERS-POC reader = 343
      • 9.2 Imaging = 345
      • 9.2.1 iSERS microscopy on cells = 347
      • 9.2.2 iSERS microscopy on tissues = 356
      • 9.3 Summary and perspectives = 365
      • References = 366
      • 10 Surface-enhanced Raman spectroscopy for cancer characterization / Wen Ren ; Joseph Irudayaraj = 373
      • 10.1 Introduction = 373
      • 10.2 SERS diagnosis of cancer biomarkers = 375
      • 10.3 SERS detection of nucleic acid sequence indicators in cancer = 378
      • 10.4 SERS diagnosis based on other indicators = 380
      • 10.5 Multifunctional SERS substrates for diagnosis and therapy = 381
      • 10.6 SERS imaging for cancer imaging and delineation = 385
      • 10.7 Summary = 389
      • References = 389
      • 11 Multivariate approaches for SERS data analysis in clinical applications / Duo Lin ; Sufang Qiu ; Yang Chen ; Shangyuan Feng ; Haishan Zeng = 395
      • 11.1 Introduction = 395
      • 11.2 Data analysis for label-free surface-enhanced Raman spectroscopy measurements = 396
      • 11.2.1 Unsupervised data analysis and practical applications = 396
      • 11.2.2 Supervised data analysis and practical applications = 404
      • 11.3 Additional applications in labeling SERS measurements = 418
      • 11.3.1 Practical applications of unsupervised analysis = 418
      • 11.3.2 Practical applications of supervised data analysis = 423
      • 11.4 Concluding remarks = 424
      • References = 425
      • Index = 433
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