During the last two decades, near and mid-infrared spectral analyses have emerged as a
reliable and promising analytical tool for objective assessment of coffee quality attributes …

Production of coffee beans is an important lifeline for the economy of several countries in
Latin America, Africa, and Asia. The brew from this well sought for cash crop is readily …

Feature selection plays a vital role in the quantitative analysis of high-dimensional data to
reduce dimensionality. Recently, the variable selection method based on mutual information …

The use of portable micro-spectrometers such as a micro near infrared region (microNIR)
spectrometer is a promising technique for solving analytical problems in several areas of …

The chemical compounds including lipid and protein in green coffee beans are important
indicators of the final quality of the coffee products, which are usually determined by time …

Hyperspectral imaging covering the spectral range of 874–1734 nm was used to determine
caffeine content of coffee beans. Spectral data of 958.24–1628.89 nm were extracted and …

The feasibility of rapid detection of three quality parameters and classification of wines
based on visible and near infrared spectroscopy (Vis-NIRs) was investigated. A modified ant …

The growing global demand for specialty coffee increases the need for improved coffee
quality assessment methods. Green bean coffee quality analysis is usually carried out by …

Caffeine was extracted and preconcentrated by the simple, fast and green method of
dispersive liquid–liquid microextraction (DLLME) and analysed by gas chromatography …

Food fraud can cause damage to consumer health and affect their confidence, destroy
brands and generate large economic losses in the industry. Food authenticity allows to …