The assurance of the quality of a wine, both from the point of view of tasting and food safety,
and its compliance with current regulations have led to the development of electrochemical …

We investigated a discriminant method for volatile organic compounds (VOCs) in exhaled
breath under contaminant air as well as purified air conditions using an array of multiple …

This work presents a deep learning approach for computer vision-based recognition of
natural honey adulteration. The results are compared with the machine learning models …

In this study, we investigated the effect of the preparation process ie, the process informatics
(PI) parameters of sensor elements on the responses of Pt-, Pd-, and Au-loaded SnO 2 …

This work demonstrates the successful application of the picein wax carbon composite
electrode (PWCCE) for profiling both commercial and homemade plant milks. Picein wax …

An artificial neural network was used to build models caple of predicting and quantifying
vodka adulteration with methanol and/or tap water. A voltammetric electronic tongue based …

This work presents a convolutional neural network which, on the basis of photos taken with a
smartphone, allows to assess the level of adulteration of natural honey with the undesirable …