| Literature DB >> 31715385 |
Anna Sharikova1, Zahraa I Foraida2, Lauren Sfakis2, Lubna Peerzada1, Melinda Larsen3, James Castracane2, Alexander Khmaladze4.
Abstract
Nanofiber scaffolds are used in bioengineering for functional support of growing tissues. To fine tune nanofiber properties for specific applications, it is often necessary to characterize the spatial distribution of their chemical content. Raman spectroscopy is a common tool used to characterize chemical composition of various materials, including nanofibers. In combination with a confocal microscope, it allows simultaneous mapping of both spectral and spatial features of inhomogeneous structures, also known as hyperspectral imaging. However, such mapping is usually performed on microscopic scale, due to the resolution of the scanning system being diffraction limited (about 0.2-0.5 micron, depending on the excitation wavelength). We present an application of confocal Raman microscopy to hyperspectral mapping of nanofibers, where nanoscale features are resolved by means of oversampling and extensive data processing, including Singular Value Decomposition and Classical Least Squares decomposition techniques. Oversampling and data processing facilitated evaluation of the spatial distribution of different chemical components within multi-component nanofibers.Entities:
Keywords: Chemometrics; Confocal Raman microscopy (CRM); Hyperspectral imaging; Nanofibers; Raman spectroscopy; Singular value decomposition (SVD); Tissue engineering
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Year: 2019 PMID: 31715385 PMCID: PMC6930965 DOI: 10.1016/j.saa.2019.117670
Source DB: PubMed Journal: Spectrochim Acta A Mol Biomol Spectrosc ISSN: 1386-1425 Impact factor: 4.098