Raman spectroscopy based method for the evaluation of compositional consistency of nanofibrous layers. Issue 23 (6th November 2015)

• Record Type: Journal Article
• Authors: Kotzianova, Adela; Rebicek, Jiri; Zidek, Ondrej; Pokorny, Marek; Hrbac, Jan; Velebny, Vladimir
• Is Part Of: Analytical methods. Volume 7:Issue 23(2015)
• Page Start: 9900
• Page End: 9905
• Publication Date: 2015-11-06
• Subjects: Chemistry, Analytic -- Periodicals; Analytical biochemistry -- Periodicals; Chemical laboratories -- Standards -- Periodicals; 543.1905
• DOI: 10.1039/c5ay02671g
• Languages: English
• ISSNs: 1759-9660

Abstract

Abstract : Analysis of the nanofibers based on Raman spectroscopy and singular value decomposition is presented. The calibration of results is included and local homogeneity of samples is shown through Raman maps. SVD results after and before calibration curve application and recalculation to percents. Abstract : Electrospinning is currently a very popular method used across a number of industries. Electrospinning enables the production of nanofibrous layers of various structures and compositions. The production of a multi-component nanofibrous layer may result in an uneven distribution of the individual components throughout the layer. Confocal Raman spectroscopy combined with statistical methods allows these layers to be analysed by determining their chemical composition and thus provides feedback for the spinning process. This paper presents a method which combines Raman spectroscopy analysis and its subsequent evaluation with singular value decomposition (SVD). Automated measurement of Raman spectra makes it possible to gather extensive spectral data from a particular area selected on a sample; the spectra are measured from a specific volume and not from individual fibres. Samples require no preparation for the analysis and the non-destructive nature of Raman spectroscopy ensures their reusability. When spectra of the individual component materials are included for reference, the subsequent SVD analysis of the spectral data makes it possible to determine the chemical composition of the measured areas, thus providing the content percentages of the individual components, which can be displayed either in the form of a scattered plot or a Raman map.