Since the inelastic scattering of light was predicted nearly 100 years ago, Raman spectroscopy has become a mainstay of characterization techniques, with applications in a vast array of fields from chemistry to materials science and nanotechnology, from forensics to geology and art. More recently, it has found usage in the life sciences, and this book hereby outlines the state-of-the-art advances in applications of Raman spectroscopy to human health and biomedicine. It covers a wide range of human health science including medicine (especially cancer), physiology, biological molecules, pharmaceutical science, cells, viruses, microorganisms, and food science. Another highlight is that it describes recent progress on various Raman techniques such as surface-enhanced Raman scattering, tip-enhanced Raman scattering, non-linear Raman spectroscopy, Raman microscopy, and Raman imaging. Novel spectral analysis methods such as chemometrics are also prominently discussed.
Contents:
- History of Challenges of Raman Spectroscopy to Medical Science — From 1970s to 2000 (Yukihiro Ozaki)
- Photonic Data Science for Raman Data Analysis (Rola Houhou, Thomas Bocklitz)
- Chemometric Treatment of Raman Spectra in Biomedicine and Food Science (Ángel Sánchez-Illana, David Pérez-Guaita)
- Raman Spectroscopy and Machine Learning as a Potential Universal Diagnostic Technique (Nicole M Ralbovsky, Igor K Lednev)
- Raman Spectroscopy for Health Science (Mariko Egawa)
- Non-destructive Analytical and Structural Studies of Lipids in Food, Health, and Biomedical Sciences by Raman Spectroscopy (Hidetoshi Sato, Yukihiro Ozaki)
- Point-of-Care Detection Strategies Aligned to Human Health Using Surface-Enhanced Raman Spectroscopy (Sian Sloan-Dennison, Hayleigh Kearns, Waleed Hassanain, Karen Faulds, Duncan Graham)
- Raman Imaging and Screening of Bioactive Small Molecules (Hiroyuki Yamakoshi, Jun Ando, Syusuke Egoshi, Kosuke Dodo, Mikiko Sodeoka, Katsumasa Fujita)
- Coherent Anti-Stokes Raman Scattering (CARS) Microscopy and its Applications in Life Sciences (Shinichi Miyazaki, Yusuke Murakami, Sakiko Honjoh, Yu Hayashi, Hideaki Kanoi)
- Raman Spectroscopy for Infection Diagnosis (Markus Salbreiter, Aikaterini Pistiki, Dana Cialla-May, Petra Rösch, Jürgen Popp)
- Raman Spectroscopy Applied to Antimicrobial Resistance (Kamila Kochan, Savithri Pebotuwa, Thulya Chakkumpulakkal Puthan Veettil, Anton Y Peleg, Xenia Kostoulias, Bayden R Wood)
- Raman Spectral Cytopathology for Cancer Diagnostic Applications (Fiona M Lyng, Damien Traynor, Isha Behl, Declan O’Dea, Hugh J Byrne)
- Exploring the Hidden Realms: New Frontiers for Raman Spectroscopy in Life Sciences (Jeong Hee Kim, Swati Tanwar, Zhenhui Liu, Ishan Berman)
- Translating Biomedical Raman Spectroscopy into Clinical Endoscopic Diagnosis and Post-Treatment Monitoring in Head and Neck Cancer Patients (Chi Shu, Wei Zheng, Kan Lin, Zhiwei Huang)
- Raman Probe and Live Tissue Analysis for Monitoring Biological Activity (Akinori Taketani, Hidetoshi Sato)
- Clinical Aspects of Raman Spectroscopy in Surgical Applications (Katherine Ember, Jean-Philippe Dulude, Trang Tran, Mai-Kim Gervais, Sarkis Meterissian, Roy Dudley, Kevin Petrecca, Frédéric Leblond)
- Exploring Cancer with Raman Spectroscopy: Principles, Progress, and Challenges (Christoph Krafft, Jürgen Popp)
Readership: Academics, researchers, lecturers, and graduate students in spectroscopy and data science. Doctors and allied health professionals will also be interested.
’The book is very interesting and will provide a different scope as compared with other books in the literature. It will be a good general book for people working on Raman spectroscopy of biomedical and health sciences. The Editors are top scientists in their own fields.’ – Zexiang Shen Professor, Nanyang Technological University, Singapore
Key Features:
- Covers not only biomedical applications of Raman spectroscopy but also its applications to human health (virus, bacteria, cells, physiology, biology, environmental science, food science, etc.)
- Describes recent progress in instrumentations of Raman spectroscopy and data treatments