Claim · model-written summary
Portable NIR surpassed benchtop StC validation accuracy.
Not reportedTaxonMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSetting
Verbatim
e0“surpassed the benchtop for DMCg and StC in external validation (0.74 and 0.76 vs. 0.71 and 0.72, respectively)”
Title
Paulo Henrique Ramos Guimarães; Massaine Bandeira e Sousa; Marcos de Souza Campos; et al. Journal of Food Science 2025. doi:10.1111/1750-3841.70704
Other claims from this paper (8)
- Method / resource PLS delivered highest predictive accuracy across traits and devices.
- Method / resource KNN slightly outperformed PLS for DMCg with the benchtop device.
- Method / resource XGB was comparable to PLS for StC on the benchtop device.
- Method / resource XGB was comparable to PLS for DMCo on the portable device.
- Method / resource Processed samples produced higher model accuracy than fresh samples.
- Method / resource Portable NIR performed better with processed samples.
- Method / resource Portable NIR surpassed benchtop DMCg validation accuracy.
- Method / resource Processed sample preparation significantly improved model performance.