Food analysis is a challenging analytical problem, often addressed using sophisticated
laboratory methods that produce large data sets. Linear and non-linear multivariate methods …

Abstract Machine learning (ML) is an efficacious tool that can be employed to enhance the
pasteurization process through several means. This paper provides an analysis of the …

The objective of this study was the characterization of the microbiota associated with
spoilage of vanilla cream pudding during storage at different temperatures. Commercial …

In recent years there has been much interest concerning the development of modulators in
the mid-to long-wave infrared, based on emerging materials such as graphene. These have …

Miniaturized spectrometers are advantageous for many applications and can be achieved
by what we term the filter-array detector-array (FADA) approach. In this method, each …

An effective approach for identification of the origin of Scutellaria baicalensis, an essential
member of the family of Chinese herbal medicine and known to be an effective anti …

Detecting the types of anomalies that can occur throughout the milk processing process is
an important task since it can assist providers in maintaining control over the process. The …

The performance of an Unsupervised Online feature Selection (UOS) algorithm was
investigated for the selection of training features of multispectral images acquired from a …

With the growing concern of the accumulation of plastic-based food packaging waste, the
search for bio-based biodegradable packages is on the rise. These materials differ from their …

Scientific and technological advances allowed the extraction of a growing quantity of
knowledge from the analysed samples by means of analytical techniques. Over the last few …