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Electronic tongues and noses: a general overview
As technology advances, electronic tongues and noses are becoming increasingly important
in various industries. These devices can accurately detect and identify different substances …
in various industries. These devices can accurately detect and identify different substances …
Machine learning toward high-performance electrochemical sensors
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 …
machine learning (ML) toward data-driven improvements in sensitivity, reproducibility, and …
Heavy metals detection at chemometrics-powered electrochemical (bio) sensors
Heavy metals represent a serious issue regarding both environmental and health status.
Their monitoring is necessary and it is necessary the development of decentralized …
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 …
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
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 …
variables is required as it enables information to be obtained directly from the process by …
Microplastic Identification Using Impedance Spectroscopy and Machine Learning Algorithms
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 …
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
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 …
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
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 …
(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 …
wave voltammetry (SWV) method for the electrochemical determination of Eszopiclone …
Leveraging graphical models to enhance in situ analyte identification via multiple voltammetric techniques
Voltammetry is a powerful analytical technique for evaluating electrochemical reactions and
holds particular promise for interrogating electrolyte solutions suitable for energy storage …
holds particular promise for interrogating electrolyte solutions suitable for energy storage …