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Fourier transform infrared spectroscopy
Fourier transform infrared spectroscopy






fourier transform infrared spectroscopy

LEVs, MEVs and SEVs were separately grouped for both the considered cell lines. Spectral regions between 3100–2800 cm −–900 cm −1, corresponding to functional groups mainly ascribed to lipid and protein contributions, were acquired and processed by Principal Component Analysis (PCA).

FOURIER TRANSFORM INFRARED SPECTROSCOPY SKIN

FT-IR measurements were performed on large (LEVs, ~600 nm), medium (MEVs, ~200 nm) and small (SEVs ~60 nm) EVs enriched from two different cell lines medium: murine prostate cancer (TRAMP-C2) and skin melanoma (B16). In this paper, we show that Fourier-transform Infrared (FT-IR) spectroscopy can provide a collective fingerprint of EV subpopulations in one single experiment.

fourier transform infrared spectroscopy

This approach focused on specific markers may result inadequate to routinely deal with EV subpopulations that have an intrinsic high level of heterogeneity. Pitfalls include the risk to opt for an unsuitable marker set – which may either not represent the subpopulation or also cover other unintended subpopulations – and the need to use different characterization techniques and equipment. To date, the common strategy is based on searching and probing set of molecular components and physical properties intended to be univocally characteristics of the target subpopulation. Identification of extracellular vesicle (EV) subpopulations remains an open challenge.








Fourier transform infrared spectroscopy