[HTML][HTML] Prediction of milk composition using multivariate chemometric modelling of infrared, Raman, and fluorescence spectroscopic data: A review
S Mohammadi, A Gowen, J Luo, C O'Donnell - Food Control, 2024 - Elsevier
Quality assessment of milk which is a comprehensive source of nutrients for humans and an
important raw material for other dairy products is required in the dairy industry. Rapid, cost …
important raw material for other dairy products is required in the dairy industry. Rapid, cost …
[HTML][HTML] Vis-NIR spectra combined with machine learning for predicting soil nutrients in cropland from Aceh Province, Indonesia
Rapid analytical methods are needed to measure soil nutrient content in cropland,
especially in Aceh Province, Indonesia. This is necessary for quick and accurate decision …
especially in Aceh Province, Indonesia. This is necessary for quick and accurate decision …
Near infrared aquaphotomics study on common dietary fatty acids in cow's liquid, thawed milk
This study was aimed at two objectives: 1) explore the possibility of near infrared (NIR)
spectroscopy to determine the content of common dietary fatty acids (FAs) and fat content in …
spectroscopy to determine the content of common dietary fatty acids (FAs) and fat content in …
Raman, near-infrared and fluorescence spectroscopy for determination of collagen content in ground meat and poultry by-products
O Monago-Maraña, JP Wold, R Rødbotten, KR Dankel… - Lwt, 2021 - Elsevier
Raman, near-infrared and fluorescence spectroscopy were evaluated for determination of
collagen content in ground meat. Two sample sets were used (ie ground beef and ground …
collagen content in ground meat. Two sample sets were used (ie ground beef and ground …
[HTML][HTML] Cage of covariance in calibration modeling: Regressing multiple and strongly correlated response variables onto a low rank subspace of explanatory …
CE Eskildsen, T Næs, PB Skou, LE Solberg… - Chemometrics and …, 2021 - Elsevier
In analytical chemistry, multivariate calibration is applied when substituting a time-
consuming reference measurement (based on eg chromatography) with a high-throughput …
consuming reference measurement (based on eg chromatography) with a high-throughput …
[HTML][HTML] Diagnosing the cage of covariance to increase understanding and robustness of spectroscopic calibration models
E Tengstrand, I Måge, LE Solberg, NK Afseth… - … Acta Part A: Molecular …, 2024 - Elsevier
When vibrational spectroscopy is used for quantification purposes, multivariate analysis is
often used to extract information from covariances between the spectra and any given …
often used to extract information from covariances between the spectra and any given …
Diagnosing indirect relationships in multivariate calibration models
CE Eskildsen, SB Engelsen, KR Dankel… - Journal of …, 2021 - Wiley Online Library
Problems concerning covariance among independent variables are well understood and
dealt with by inverse regression methods like partial least squares regression. However …
dealt with by inverse regression methods like partial least squares regression. However …
[HTML][HTML] Orthogonality constrained inverse regression to improve model selectivity and analyte predictions from vibrational spectroscopic measurements
PB Skou, E Hosseini, JB Ghasemi, AK Smilde… - Analytica Chimica …, 2021 - Elsevier
In analytical chemistry spectroscopy is attractive for high-throughput quantification, which
often relies on inverse regression, like partial least squares regression. Due to a multivariate …
often relies on inverse regression, like partial least squares regression. Due to a multivariate …