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    Online-Ressource
    Online-Ressource
    SAGE Publications ; 2018
    In:  Applied Spectroscopy Vol. 72, No. 1 ( 2018-01), p. 89-101
    In: Applied Spectroscopy, SAGE Publications, Vol. 72, No. 1 ( 2018-01), p. 89-101
    Kurzfassung: Laser-induced breakdown spectroscopy (LIBS) technique was used to compare various types of commercial milk products. Laser-induced breakdown spectroscopy spectra were investigated for the determination of the elemental composition of soy and rice milk powder, dairy milk, and lactose-free dairy milk. The analysis was performed using radiative transitions. Atomic emissions from Ca, K, Na, and Mg lines observed in LIBS spectra of dairy milk were compared. In addition, proteins and fat level in milks can be determined using molecular emissions such as CN bands. Ca concentrations were calculated to be 2.165 ± 0.203 g/L in 1% of dairy milk fat samples and 2.809 ± 0.172 g/L in 2% of dairy milk fat samples using the standard addition method (SAM) with LIBS spectra. Univariate and multivariate statistical analysis methods showed that the contents of major mineral elements were higher in lactose-free dairy milk than those in dairy milk. The principal component analysis (PCA) method was used to discriminate four milk samples depending on their mineral elements concentration. In addition, proteins and fat level in dairy milks were determined using molecular emissions such as CN band. We applied partial least squares regression (PLSR) and simple linear regression (SLR) models to predict levels of milk fat in dairy milk samples. The PLSR model was successfully used to predict levels of milk fat in dairy milk sample with the relative accuracy (RA%) less than 6.62% using CN (0,0) band.
    Materialart: Online-Ressource
    ISSN: 0003-7028 , 1943-3530
    RVK:
    Sprache: Englisch
    Verlag: SAGE Publications
    Publikationsdatum: 2018
    ZDB Id: 1474251-2
    SSG: 11
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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