Chemometrics play a critical role in biosensors-based detection, analysis, and diagnosis.
Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved …

Artificial intelligence (AI) is developing and expanding rapidly beyond the expectations of
engineers who develop it as well. It is evaluated that it has/will have great potential not only …

An IoT-WiFi smart and portable electrochemical immunosensor for the quantification of
SARS-CoV-2 spike protein was developed with integrated machine learning features. The …

Voltammetric electronic tongue (VE-tongue) is a promising technology for advanced sensing
and measurement applications. The review examines the measurement principles, working …

In this review, a selection of works on the sensing of biomarkers related to diabetes mellitus
(DM) and diabetic retinopathy (DR) are presented, with the scope of helping and …

Protein electrochemistry represents a powerful technique for investigating the function and
structure of proteins. Currently available biochemical assays provide limited information …

In this work, the recurrent deep neural networks for estimation of the glucose-fructose syrup
(GFS) content, deliberately added to apple juices, was described. The signal source was …

A machine learning (ML) strategy based on color-spectral images for mixed amino acid (AA)
analysis is presented. The results showed that a well-trained ML model could accurately …

The presented manuscript reports the simultaneous detection of a ternary mixture of the
benzodiazepines diazepam, lorazepam, and flunitrazepam using an array of voltammetric …

Different acquisition data approaches have been used to fetch the fluorescence spectra.
However, the comparison between them is rare. Also, the extendability of a sensor array …