The canonical partial least squares approach to analysing multiway datasets-N-CPLS

Article Chemistry, Analytical

Swiss knife partial least squares (SKPLS): One tool for modelling single block, multiblock, multiway, multiway multiblock including multi-responses and meta information under the ROSA framework

Puneet Mishra et al.

Summary: Partial least squares (PLS) modelling is a widely used technique in chemometrics and multivariate data analysis. It effectively handles the high collinearity in multivariate data and can be used for various tasks such as regression and classification. However, there is a need for a single solution to perform different PLS tasks, as there are currently separate tools and codes available. This study proposes the Swiss knife PLS (SKPLS) modelling approach, which provides a single mathematical implementation for analyzing different PLS tasks.

ANALYTICA CHIMICA ACTA (2022)

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Article Food Science & Technology

Evaluation of MEMS NIR Spectrometers for On-Farm Analysis of Raw Milk Composition

Sanna Uusitalo et al.

Summary: This paper evaluates the performance of MEMS-based NIR spectrometers as on-farm milk analyzers, finding that the NIRONE 2.5 spectrometer performs best for milk fat measurement, while the NIRONE 2.0 module gives similar results for fat and lactose. These results show that MEMS spectrometers can reach sufficient prediction accuracy compared to ICAR standard values for fat, protein, and lactose prediction.

FOODS (2021)

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Article Food Science & Technology