Electronic tongues and noses: a general overview

D Tibaduiza, M Anaya, J Gómez, J Sarmiento, M Perez… - Biosensors, 2024 - mdpi.com
As technology advances, electronic tongues and noses are becoming increasingly important
in various industries. These devices can accurately detect and identify different substances …

Machine learning toward high-performance electrochemical sensors

GF Giordano, LF Ferreira, ÍRS Bezerra… - Analytical and …, 2023 - Springer
The so-coined fourth paradigm in science has reached the sensing area, with the use of
machine learning (ML) toward data-driven improvements in sensitivity, reproducibility, and …

Heavy metals detection at chemometrics-powered electrochemical (bio) sensors

M Tarapoulouzi, V Ortone, S Cinti - Talanta, 2022 - Elsevier
Heavy metals represent a serious issue regarding both environmental and health status.
Their monitoring is necessary and it is necessary the development of decentralized …

Artificial intelligence and machine learning algorithms in the detection of heavy metals in water and wastewater: Methodological and ethical challenges

BM Maurya, N Yadav, T Amudha, J Satheeshkumar… - Chemosphere, 2024 - Elsevier
Heavy metals (HMs) enter waterbodies through various means, which, when exceeding a
threshold limit, cause toxic effects both on the environment and in humans upon entering …

New electronic tongue sensor array system for accurate liquor beverage classification

JX Leon-Medina, M Anaya, DA Tibaduiza - Sensors, 2023 - mdpi.com
The use of sensors in different applications to improve the monitoring of a process and its
variables is required as it enables information to be obtained directly from the process by …

Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms

J Sarmiento, M Anaya… - International Journal of …, 2024 - Wiley Online Library
Detecting and classifying microparticles in water and other liquid substances is crucial due
to their detrimental impact on ecosystems and human health. This is because particles such …

IoT integrated and deep learning assisted electrochemical sensor for multiplexed heavy metal sensing in water samples

SA Lahari, N Kumawat, K Amreen, RN Ponnalagu… - npj Clean Water, 2025 - nature.com
Heavy metal measurement is vital for ecological risk assessment and regulatory compliance.
This study reports a sensor using gold nanoparticle-modified carbon thread electrodes for …

A comparison between different machine learning approaches combined with anodic strip** voltammetry for copper ions and pH detection in cell culture media

F Biscaglia, A Caroppo, CT Prontera, E Sciurti… - Chemosensors, 2023 - mdpi.com
Recently, the scientific community has shown a great interest about the Organ-on-Chip
(OoC) devices, a special kind of micro-fabricated platforms capable of recapitulating the …

[HTML][HTML] Validation and application of the square wave voltammetry method for the electrochemical determination of eszopiclone in pharmaceutical formulations and …

AF Alghamdi - Journal of King Saud University-Science, 2024 - Elsevier
A buffer solution of Britton-Robinson (BR) pH 6.5 was utilized to validate and apply a square
wave voltammetry (SWV) method for the electrochemical determination of Eszopiclone …

Leveraging graphical models to enhance in situ analyte identification via multiple voltammetric techniques

AM Fenton Jr, FR Brushett - Journal of Electroanalytical Chemistry, 2023 - Elsevier
Voltammetry is a powerful analytical technique for evaluating electrochemical reactions and
holds particular promise for interrogating electrolyte solutions suitable for energy storage …