Vibrational spectroscopy: Disease diagnostics and beyond

Hugh J. Byrne; Kamila M. Ostrowska; Haq Nawaz; Jennifer Dorney; Aidan D. Meade; Franck Bonnier; Fiona M. Lyng

doi:10.1007/978-94-007-7832-0_13

Vibrational spectroscopy: Disease diagnostics and beyond

Hugh J. Byrne
, Kamila M. Ostrowska
, Haq Nawaz
, Jennifer Dorney
, Aidan D. Meade
, Franck Bonnier
, Fiona M. Lyng

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This chapter outlines some developments in the applications of vibrational spectroscopy for disease diagnostics and demonstrates how the applications of the spectroscopic techniques can be extended to the analysis and evaluation of disease aetiology and the mechanisms of interaction with and the cellular and subcellular responses to, for example, chemotherapeutic agents and nanoparticles. The primary emphasis is on Raman spectroscopy, although some examples are based on infrared absorption spectroscopy. The studies presented are chosen to illustrate how a range of multivariate analytical techniques can be employed to maximize the potential benefits of the complex spectral information obtained from tissue or cells.

Original language	English
Title of host publication	Optical Spectroscopy and Computational Methods in Biology and Medicine
Publisher	Springer Netherlands
Pages	355-399
Number of pages	45
DOIs	https://doi.org/10.1007/978-94-007-7832-0_13
Publication status	Published - 1 Jan 2014

Publication series

Name	Challenges and Advances in Computational Chemistry and Physics
Volume	14
ISSN (Print)	2542-4491
ISSN (Electronic)	2542-4483

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cervical Cancer
Cervical Intraepithelial Neoplasia
Human Papilloma Virus
Partial Little Square Regression
Vibrational Spectroscopy

Access to Document

10.1007/978-94-007-7832-0_13

Cite this

Byrne, H. J., Ostrowska, K. M., Nawaz, H., Dorney, J., Meade, A. D., Bonnier, F., & Lyng, F. M. (2014). Vibrational spectroscopy: Disease diagnostics and beyond. In Optical Spectroscopy and Computational Methods in Biology and Medicine (pp. 355-399). (Challenges and Advances in Computational Chemistry and Physics; Vol. 14). Springer Netherlands. https://doi.org/10.1007/978-94-007-7832-0_13

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title = "Vibrational spectroscopy: Disease diagnostics and beyond",

abstract = "This chapter outlines some developments in the applications of vibrational spectroscopy for disease diagnostics and demonstrates how the applications of the spectroscopic techniques can be extended to the analysis and evaluation of disease aetiology and the mechanisms of interaction with and the cellular and subcellular responses to, for example, chemotherapeutic agents and nanoparticles. The primary emphasis is on Raman spectroscopy, although some examples are based on infrared absorption spectroscopy. The studies presented are chosen to illustrate how a range of multivariate analytical techniques can be employed to maximize the potential benefits of the complex spectral information obtained from tissue or cells.",

keywords = "Cervical Cancer, Cervical Intraepithelial Neoplasia, Human Papilloma Virus, Partial Little Square Regression, Vibrational Spectroscopy",

author = "Byrne, \{Hugh J.\} and Ostrowska, \{Kamila M.\} and Haq Nawaz and Jennifer Dorney and Meade, \{Aidan D.\} and Franck Bonnier and Lyng, \{Fiona M.\}",

note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Dordrecht 2014.",

year = "2014",

month = jan,

day = "1",

doi = "10.1007/978-94-007-7832-0\_13",

language = "English",

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Byrne, HJ, Ostrowska, KM, Nawaz, H, Dorney, J, Meade, AD, Bonnier, F & Lyng, FM 2014, Vibrational spectroscopy: Disease diagnostics and beyond. in Optical Spectroscopy and Computational Methods in Biology and Medicine. Challenges and Advances in Computational Chemistry and Physics, vol. 14, Springer Netherlands, pp. 355-399. https://doi.org/10.1007/978-94-007-7832-0_13

Vibrational spectroscopy: Disease diagnostics and beyond. / Byrne, Hugh J.; Ostrowska, Kamila M.; Nawaz, Haq et al.
Optical Spectroscopy and Computational Methods in Biology and Medicine. Springer Netherlands, 2014. p. 355-399 (Challenges and Advances in Computational Chemistry and Physics; Vol. 14).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Vibrational spectroscopy

T2 - Disease diagnostics and beyond

AU - Byrne, Hugh J.

AU - Ostrowska, Kamila M.

AU - Nawaz, Haq

AU - Dorney, Jennifer

AU - Meade, Aidan D.

AU - Bonnier, Franck

AU - Lyng, Fiona M.

PY - 2014/1/1

Y1 - 2014/1/1

N2 - This chapter outlines some developments in the applications of vibrational spectroscopy for disease diagnostics and demonstrates how the applications of the spectroscopic techniques can be extended to the analysis and evaluation of disease aetiology and the mechanisms of interaction with and the cellular and subcellular responses to, for example, chemotherapeutic agents and nanoparticles. The primary emphasis is on Raman spectroscopy, although some examples are based on infrared absorption spectroscopy. The studies presented are chosen to illustrate how a range of multivariate analytical techniques can be employed to maximize the potential benefits of the complex spectral information obtained from tissue or cells.

AB - This chapter outlines some developments in the applications of vibrational spectroscopy for disease diagnostics and demonstrates how the applications of the spectroscopic techniques can be extended to the analysis and evaluation of disease aetiology and the mechanisms of interaction with and the cellular and subcellular responses to, for example, chemotherapeutic agents and nanoparticles. The primary emphasis is on Raman spectroscopy, although some examples are based on infrared absorption spectroscopy. The studies presented are chosen to illustrate how a range of multivariate analytical techniques can be employed to maximize the potential benefits of the complex spectral information obtained from tissue or cells.

KW - Cervical Cancer

KW - Cervical Intraepithelial Neoplasia

KW - Human Papilloma Virus

KW - Partial Little Square Regression

KW - Vibrational Spectroscopy

UR - https://www.scopus.com/pages/publications/85010259995

U2 - 10.1007/978-94-007-7832-0_13

DO - 10.1007/978-94-007-7832-0_13

M3 - Chapter

AN - SCOPUS:85010259995

T3 - Challenges and Advances in Computational Chemistry and Physics

SP - 355

EP - 399

BT - Optical Spectroscopy and Computational Methods in Biology and Medicine

PB - Springer Netherlands

ER -

Vibrational spectroscopy: Disease diagnostics and beyond

Abstract

Publication series

UN SDGs

Keywords

Access to Document

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Cite this