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Improved process control by using the effective scattering coefficients to determine the fat content in homogenized cow-based milk with multivariate data modeling

  • Commercially available homogenized cow- and plant-based milks were investigated by optical spectroscopy in the range of 400–1360 nm. Absorbance spectra, the effective scattering coefficient μs′, and the spectral absorption coefficient μa were recorded for 23 milk varieties and analyzed by multivariate data analysis. Cow- and plant-based milks were compared and discriminated using principal component analysis combined with a quadratic discriminant analysis. Furthermore, it was possible to discriminate the origin of plant-based milk by μa and the fat content in cow-based milk by μs′. Partial least squares regression models were developed to determine the fat content in cow-based milk. The model for μs′ proved to be the most efficient for this task with R2 = 0.98 and RMSEP = 0.19 g/100 mL for the external validation. Thus, optical spectroscopy together with multivariate data analysis is suitable for routine laboratory analysis or quality monitoring in the dairy production.

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Metadaten
Author of HS ReutlingenStefanakis, Mona; Bassler, Miriam; Böltzig, Thorsten; Ostertag, Edwin; Brecht, Marc; Rebner, Karsten
DOI:https://doi.org/10.1021/acsfoodscitech.1c00435
ISSN:2692-1944
Erschienen in:ACS food science & technology
Publisher:ACS Publications
Place of publication:Washington D.C.
Document Type:Article
Language:English
Year of Publication:2022
Tag:absorbance spectroscopy; absorption coefficient; coefficient; discriminant analysis; effective scattering; milk; partial least squares regression; principal component analysis; process analysis
Volume:2
Issue:3
Page Number:10
First Page:548
Last Page:557
DDC classes:630 Landwirtschaft, Veterinärmedizin
Open Access?:Nein
Licence (English):License Logo  Lizenzbedingungen ACS