Recent Developments in Atomic Force Microscopy and Raman Spectroscopy for Materials Characterization 2022
DOI: 10.5772/intechopen.99771
|View full text |Cite
|
Sign up to set email alerts
|

Application of Raman Spectroscopy in Biomedical Diagnostics

Abstract: In vivo cellular imaging and in vitro assays or sensors are fundamentally used to study the spatiotemporal interaction of molecules at biological interfaces. The study of these interfaces informs various applications such as diagnostics/detection of foreign materials or processes in the biological system. Raman spectroscopy, an optical, non-destructive, label-free fingerprinting tool offers a wide array of applications in both in vitro and in vivo diagnostics owing to its relatively short acquisition time, non… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 148 publications
(188 reference statements)
0
1
0
Order By: Relevance
“…Raman spectroscopy could also serve as a fast, reliable, reproducible, non-invasive, non-destructive, cost-effective and environmentally friendly technique, requiring only a few seconds or minutes for sample preparation, in contrast to HPLC [ 17 ]. Thus, the applications of Raman spectroscopy in pharmaceutical and biomedical sciences are impressively increasing [ 18 , 19 , 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%
“…Raman spectroscopy could also serve as a fast, reliable, reproducible, non-invasive, non-destructive, cost-effective and environmentally friendly technique, requiring only a few seconds or minutes for sample preparation, in contrast to HPLC [ 17 ]. Thus, the applications of Raman spectroscopy in pharmaceutical and biomedical sciences are impressively increasing [ 18 , 19 , 20 , 21 , 22 ].…”
Section: Introductionmentioning
confidence: 99%