The increasing concerns toward the quality and health of food products have necessitated
accurate and precise analytical methods in order to guarantee the quality of food. It is …

This paper is a summary of the latest literature on methods for assessing quality of natural
bee honey. The publication briefly characterizes methods recommended by the International …

The authenticity of honey currently poses challenges to food quality control, thus requiring
continuous modernization and improvement of related analytical methodologies. This review …

In this study, Raman spectroscopy combined with convolutional neural network (CNN) and
chemometrics was used to achieve the identification and quantification of honey samples …

Animal origin food products, including fish and seafood, meat and poultry, milk and dairy
foods, and other related products play significant roles in human nutrition. However, fraud in …

Honey from different botanical and geographical origins differ significantly in their market
value due to their quality, flavor or health benefits. However, the high value of honey and …

Amid today's stringent regulations and rising consumer awareness, failing to meet quality
standards often results in health and financial compromises. In the lookout for solutions, the …

A non-destructive and reliable spectroscopic analysis method was proposed for detecting
honey fraud based on Raman spectroscopy and convolutional neural network (CNN) …

This study presents a simple, rapid, and non-destructive approach of combining near-
infrared spectroscopy (NIRS) with chemometrics for the evaluation of adulteration levels in …

The aim of this review is to describe the chromatographic, spectrometric, and spectroscopic
techniques applied to honey for the determination of botanical and geographical origin and …