Quantitative Determination of Fluorine Content in Blends of Polylactide (PLA)-Talc Using Near Infrared Spectroscopy

Near-infrared spectroscopy (NIRS) has been widely used for quantitative and/or qualitative determination of a wide range of matrices. The objective of this study was to develop a NIRS method for the quantitative determination of fluorine content in polylactide (PLA)-talc blends. A blending profile w...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2016-08, Vol.16 (8), p.1216-1216
Main Authors: Tamburini, Elena, Tagliati, Chiara, Bonato, Tiziano, Costa, Stefania, Scapoli, Chiara, Pedrini, Paola
Format: Article
Language:English
Subjects:
Blends
Calibration
Fluorine
Fourier transforms
Infrared spectra
Infrared spectroscopy
Mathematical models
Mixtures
Near infrared radiation
Organic chemistry
Polylactides
Spectra
Spectrum analysis
Standard error
Talc
Talcs
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Summary:Near-infrared spectroscopy (NIRS) has been widely used for quantitative and/or qualitative determination of a wide range of matrices. The objective of this study was to develop a NIRS method for the quantitative determination of fluorine content in polylactide (PLA)-talc blends. A blending profile was obtained by mixing different amounts of PLA granules and talc powder. The calibration model was built correlating wet chemical data (alkali digestion method) and NIR spectra. Using FT (Fourier Transform)-NIR technique, a Partial Least Squares (PLS) regression model was set-up, in a concentration interval of 0 ppm of pure PLA to 800 ppm of pure talc. Fluorine content prediction (R²cal = 0.9498; standard error of calibration, SEC = 34.77; standard error of cross-validation, SECV = 46.94) was then externally validated by means of a further 15 independent samples (R²EX.V = 0.8955; root mean standard error of prediction, RMSEP = 61.08). A positive relationship between an inorganic component as fluorine and NIR signal has been evidenced, and used to obtain quantitative analytical information from the spectra.
ISSN:1424-8220
1424-8220
DOI:10.3390/s16081216