Vibrational Spectroscopy Applications in Biomedical, Pharmaceutical and Food Sciences /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bunaciu, Andrei A.
Otros Autores: Aboul-Enein, Hassan Y., Hoang, Vu Dang
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego : Elsevier, 2020.
Temas:
Vibrational spectra.
Molecular spectroscopy.
Biomedical materials.
Pharmaceutical chemistry.
Food > Biotechnology.
Chemistry, Pharmaceutical
Spectre de vibration.
Spectroscopie mol�eculaire.
Biomat�eriaux.
Chimie pharmaceutique.
Aliments > Biotechnologie.
Biomedical materials
Food > Biotechnology
Molecular spectroscopy
Pharmaceutical chemistry
Vibrational spectra
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Vibrational Spectroscopy Applications in Biomedical, Pharmaceutical and Food Sciences
  • Copyright
  • Contents
  • Preface
  • Chapter 1 Introduction
  • Brief history of vibrational spectroscopy
  • References
  • Further reading
  • Part I Fundamental aspects of vibrational spectroscopy
  • Chapter 2 Basic theory, sampling techniques, and instrumentation
  • Basic theory
  • Sampling techniques and instrumentation
  • References
  • Part II Biomedical analysis applications
  • Chapter 3 Body fluid analysis
  • References
  • Chapter 4 Tissues analysis
  • References
  • Part III Pharmaceutical analysis applications
  • Chapter 5 Chemical drug analysis
  • Drug quantification and formulation characterization
  • Polymorphic analysis
  • Counterfeiting drug analysis
  • References
  • Chapter 6 Herbal drug analysis
  • References
  • Part IV Food analysis applications
  • Chapter 7 Edible oil analysis
  • References
  • Chapter 8 Milk analysis
  • References
  • Chapter 9 Alcoholic drink analysis
  • References
  • Chapter 10 Some concluding remarks
  • Appendix Chemometric processing of spectroscopic data
  • 1 Introduction: From the spectra to the data
  • 2 Exploratory data analysis
  • 2.1 PCA
  • 2.2 Explorative multiblock approaches
  • 3 Regression
  • 3.1 Partial least squares
  • 3.1.1 Estimation of a response vector y by PLS
  • 3.1.2 Estimation of a response matrix Y by PLS (PLS2)
  • 3.1.3 Estimation of the goodness of a fit
  • 3.2 Multiblock regression approaches
  • 4 Classification
  • 4.1 Discriminant analysis
  • 4.1.1 PLS-DA
  • 4.2 Class modeling
  • 4.2.1 SIMCA
  • 4.3 Multiblock approaches for classification
  • 5 Validation
  • References
  • Index

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