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Raman Hyperspectral Imaging of Nanofibers for Tissue Engineering Applications

Alexander KhmaladzeUniversity at Albany, State University of New YorkAnna SharikovaUniversity at Albany, State University of New YorkOctavio Calvo-GómezFaculty of Biology, National University of Uzbekistan named after Mirzo Ulugbek, University Street 4, Tashkent City 100174, UzbekistanShakhnozakhon GaipovaFood Products Technology Department, Food Products Technology Faculty, Tashkent Institute of Chemical Technology, Navoiy Street, 32, Tashkent City 100011, UzbekistanDilfuza EgamberdievaFaculty of Biology, National University of Uzbekistan named after Mirzo Ulugbek, University Street 4, Tashkent City 100174, Uzbekistan

2026en

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Litsenziya: cc-by

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ABI

Annotatsiya

Nanofiber scaffolds play a crucial role in bioengineering by providing structural support for tissue and organoid growth. For composite nanofibers, optimizing their properties for specific applications often requires analyzing the spatial distribution of their chemical structure. This review focuses on the applications of Raman hyperspectral imaging to the mapping of the chemical composition of nanofibers. While the technique is diffraction-limited to the size of the scanning beam, it is possible to decipher the nanoscale features of these fibers by employing oversampling during scanning. Subsequently, these oversampled data can be analyzed by a singular-value decomposition (SVD) analysis and classical least-squares (CLS) decomposition. In many cases, this technique is essential for verifying the spatial distribution of different chemical components within multi-component nanofibers.

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DOI: 10.3390/app16126009

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