Literature DB >> 29325694

Numerical modeling of polymorphic transformation of oleic acid via near-infrared spectroscopy and factor analysis.

Ling Liu1, Yuliang Cheng2, Xiulan Sun2, Fuwei Pi3.   

Abstract

Near-infrared (NIR) spectroscopy as a tool for direct and quantitatively screening the minute polymorphic transitions of bioactive fatty acids was assessed basing on a thermal heating process of oleic acid. Temperature-dependent NIR spectral profiles indicate that dynamical variances of COOH group dominate its γ → α phase transition, while the transition from active α to β phase mainly relates to the conformational transfer of acyl chain. Through operating multivariate curve resolution-alternating least squares with factor analysis, instantaneous contribution of each active polymorph during the transition process was illustrated for displaying the progressive evolutions of functional groups. Calculated contributions reveal that the α phase of oleic acid initially is present at around -18 °C, but sharply grows up around -2.2 °C from the transformation of γ phase and finally disappears at the melting point. On the other hand, the β phase of oleic acid is sole self-generation after melt even it embryonically appears at -2.2 °C. Such mathematical approach based on NIR spectroscopy and factor analysis calculation provides a volatile strategy in quantitatively exploring the transition processes of bioactive fatty acids; meanwhile, it maintains promising possibility for instantaneous quantifying each active polymorph of lipid materials.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Factor analysis; Near-infrared spectroscopy; Oleic acid; Phase transition

Year:  2018        PMID: 29325694     DOI: 10.1016/j.saa.2018.01.022

Source DB:  PubMed          Journal:  Spectrochim Acta A Mol Biomol Spectrosc        ISSN: 1386-1425            Impact factor:   4.098


  1 in total

1.  Rapid Determination of Cellulose and Hemicellulose Contents in Corn Stover Using Near-Infrared Spectroscopy Combined with Wavelength Selection.

Authors:  Na Wang; Jinrui Feng; Longwei Li; Jinming Liu; Yong Sun
Journal:  Molecules       Date:  2022-05-24       Impact factor: 4.927

  1 in total

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