[HTML][HTML] Modeling the toxicity of pollutants mixtures for risk assessment: a review
M Sigurnjak Bureš, M Cvetnić, M Miloloža… - Environmental chemistry …, 2021 - Springer
The occurrence of contaminants in natural waters is a potential threat to the environment.
Since contaminants are commonly present as mixtures, numerous interactions may occur …
Since contaminants are commonly present as mixtures, numerous interactions may occur …
Improving the detection accuracy of the nitrogen content of fresh tea leaves by combining FT-NIR with moisture removal method
J Guo, H Huang, X He, J Cai, Z Zeng, C Ma, E Lü… - Food Chemistry, 2023 - Elsevier
The nitrogen content (NC) is one of the critical indicators of tea quality, and many studies
have been conducted using NIR spectroscopy to determine tea constituents. However, this …
have been conducted using NIR spectroscopy to determine tea constituents. However, this …
Prediction of a wide range of compounds concentration in raw coffee beans using NIRS, PLS and variable selection
JS Ribeiro, TJG Salva, MB Silvarolla - Food Control, 2021 - Elsevier
Near infrared spectroscopy coupled to chemometrics has been proposed as a low cost,
rapid and eco-friendly methodology in both off-line and on-line analyses of coffee beans and …
rapid and eco-friendly methodology in both off-line and on-line analyses of coffee beans and …
Three-step hybrid strategy towards efficiently selecting variables in multivariate calibration of near-infrared spectra
Variable (feature or wavelength) selection is a critical step in multivariate calibration of near-
infrared (NIR) spectra. The high-resolution NIR or its imaging instruments usually generate …
infrared (NIR) spectra. The high-resolution NIR or its imaging instruments usually generate …
[HTML][HTML] Kennard-Stone method outperforms the Random Sampling in the selection of calibration samples in SNPs and NIR data
RA Ferreira, G Teixeira, LA Peternelli - Ciência Rural, 2021 - SciELO Brasil
Splitting the whole dataset into training and testing subsets is a crucial part of optimizing
models. This study evaluated the influence of the choice of the training subset in the …
models. This study evaluated the influence of the choice of the training subset in the …
Determination of gross calorific value in crude oil by variable selection methods applied to 13C NMR spectroscopy
EH de Paulo, FD dos Santos, GS Folli, LP Santos… - Fuel, 2022 - Elsevier
Abstract Gross Calorific Value (GCV) is one of the properties to assess the quality and value
of fuel in the oil industry, but the standard method is laborious. Regression models built with …
of fuel in the oil industry, but the standard method is laborious. Regression models built with …
Using a biphasic system and digital imaging analysis with chemometric tools for simultaneous determination of Cu 2+ and furfural in cachaça
M de OK Franco, WJ Cardoso, CB Vilanculo… - Analytical …, 2023 - pubs.rsc.org
The present study reports, for the first time, the development and application of a highly
efficient method based on digital imaging analysis for the simultaneous determination of …
efficient method based on digital imaging analysis for the simultaneous determination of …
[HTML][HTML] Predicting oil content in ripe Macaw fruits (Acrocomia aculeata) from unripe ones by near infrared spectroscopy and PLS regression
A method for early quantification of unripe macaw fruits oil content using near-infrared
spectroscopy (NIR) and partial least squares (PLS) is presented. After harvest, the fruit takes …
spectroscopy (NIR) and partial least squares (PLS) is presented. After harvest, the fruit takes …
Dehydration as a tool to improve predictability of sugarcane juice carbohydrates using near-infrared spectroscopy based PLS models
WJ Cardoso, JGR Gomes, JV Roque… - Chemometrics and …, 2022 - Elsevier
The aim of this work was to study dehydration as a way to improve the prediction of sucrose,
glucose, and fructose in sugarcane juice using near-infrared (NIR) spectroscopy and partial …
glucose, and fructose in sugarcane juice using near-infrared (NIR) spectroscopy and partial …
[HTML][HTML] LC-HRMS/MS-Based metabolomics approaches applied to the detection of antifungal compounds and a metabolic dynamic assessment of Orchidaceae
GS Lima, NM Lima, JV Roque, DVA de Aguiar… - Molecules, 2022 - mdpi.com
The liquid chromatography–mass spectrometry (LC-MS)-based metabolomics approach is a
powerful technology for discovering novel biologically active molecules. In this study, we …
powerful technology for discovering novel biologically active molecules. In this study, we …