@article{StefanakisBasslerB{\"o}ltzigetal.2022,
  author    = {Stefanakis, Mona and Bassler, Miriam and B{\"o}ltzig, Thorsten and Ostertag, Edwin and Allnoch, Dominik and Zuber, Ralf and Brecht, Marc and Rebner, Karsten},
  title     = {Improved process control by using the effective scattering coefficients to determine the fat content in homogenized cow-based milk with multivariate data modeling},
  journal   = {ACS food science \& technology},
  volume    = {2},
  number    = {3},
  issn      = {2692-1944},
  doi       = {10.1021/acsfoodscitech.1c00435},
  institution = {Life Sciences},
  pages     = {548 -- 557},
  year      = {2022},
  abstract  = {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.},
  language  = {en}
}