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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

The liquid chromatography–mass spectrometry (LC-MS)-based metabolomics approach is a
powerful technology for discovering novel biologically active molecules. In this study, we …