Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection DOI Creative Commons

Keerakit Kaewket,

Théo Claude Roland Outrequin,

Somrudee Deepaisarn

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine learning algorithms, we have developed reliable cost-effective electrochemical sensor for creatinine monitoring. The sensor's active surface was fabricated through sequential electrodeposition copper cobalt nanoparticles, with their complexation confirmed via cyclic voltammetry spectroelectrochemical analyses. combined contributions both transition metals significantly enhanced sensitivity selectivity, yielding linear detection range 0.00-4.00 mM, 6.06 ± 0.65 μA mM-1, limit 0.13 mM. demonstrated excellent selectivity against common interferences, including urea, lactate, ascorbic acid, uric dopamine, glucose. Its practical application in urine samples, results showing strong agreement standard assay. Machine models, such as Random Forest, Extra Trees, XGBoost, were employed to optimize data analysis, delivering high predictive accuracy uncovering key features critical performance.

Language: Английский

Spirulina-mediated biosynthesis of gold nanoparticles: an interdisciplinary study on antimicrobial, antioxidant, and anticancer properties DOI
Mohammad Aamir, Said Hassan, Amir Hamza Khan

et al.

Journal of Sol-Gel Science and Technology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

1
Selective lead ion sensing via cotton pad-based Na2EDTA capped AuNPs: A smartphone-assisted colorimetric method DOI

Evana Sultana,

M. Rana,

Muhammad Shamim Al Mamun

et al.

Chemosphere, Journal Year: 2025, Volume and Issue: 372, P. 144095 - 144095

Published: Jan. 10, 2025

Language: Английский

Citations

1
Enhanced detection of albumin-creatinine ratio in urine using gold nanoparticle-integrated 3D-connector microfluidic paper-based analytical devices for early diagnosis of chronic kidney disease DOI
Akhmad Sabarudin,

Saidun Fiddaroini,

Ahmad Luthfi Fahmi

et al.

Microchemical Journal, Journal Year: 2025, Volume and Issue: unknown, P. 113071 - 113071

Published: Feb. 1, 2025

Language: Английский

Citations

0
Biosynthesized silver nanoparticles anchored on a carbon material derived from maple leaves for the development of a green non-enzymatic biosensor for creatinine sensing DOI Creative Commons
Francisco Contini Barreto,

Maria Eduarda Barberis,

Naelle Kita Mounienguet

et al.

Green Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown, P. 100253 - 100253

Published: March 1, 2025

Language: Английский

Citations

0
A dual turn-on–off fluorometric probe based on silver sulfide quantum dots for simultaneous assay of creatinine and calcium in complex matrices DOI Creative Commons

Hagar A. Moustafa,

Ahmed S. Abo Dena, Ibrahim M. El‐Sherbiny

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(11), P. 8707 - 8718

Published: Jan. 1, 2025

Biomarkers like creatinine (CRE) and calcium ions (Ca 2+ ) are vital for detecting several disorders chronic kidney disease (CKD).

Language: Английский

Citations

0
Recent advances in nano-enhanced biosensors: Innovations in design, applications in healthcare, environmental monitoring, and food safety, and emerging research challenges DOI Creative Commons
Mohamed Hemdan,

Khaled Abuelhaded,

A. A. Shaker

et al.

Sensing and Bio-Sensing Research, Journal Year: 2025, Volume and Issue: unknown, P. 100783 - 100783

Published: April 1, 2025

Language: Английский

Citations

0
Disodium EDTA-capped AuNP-engineered cotton pad as a colorimetric probe for formalin detection DOI Creative Commons

Evana Sultana,

M. Rana,

Muhammad Shamim Al Mamun

et al.

RSC Advances, Journal Year: 2025, Volume and Issue: 15(13), P. 10442 - 10452

Published: Jan. 1, 2025

AuNP-engineered cotton pad capped with disodium EDTA as a colorimetric probe to detect formalin.

Language: Английский

Citations

0
Machine Learning-Guided Cobalt@Copper Dual-Metal Electrochemical Sensor for Urinary Creatinine Detection DOI Creative Commons

Keerakit Kaewket,

Théo Claude Roland Outrequin,

Somrudee Deepaisarn

et al.

ACS Sensors, Journal Year: 2025, Volume and Issue: unknown

Published: May 6, 2025

By utilizing the synergistic effects of a dual-metal cobalt@copper electrode and advanced machine learning algorithms, we have developed reliable cost-effective electrochemical sensor for creatinine monitoring. The sensor's active surface was fabricated through sequential electrodeposition copper cobalt nanoparticles, with their complexation confirmed via cyclic voltammetry spectroelectrochemical analyses. combined contributions both transition metals significantly enhanced sensitivity selectivity, yielding linear detection range 0.00-4.00 mM, 6.06 ± 0.65 μA mM-1, limit 0.13 mM. demonstrated excellent selectivity against common interferences, including urea, lactate, ascorbic acid, uric dopamine, glucose. Its practical application in urine samples, results showing strong agreement standard assay. Machine models, such as Random Forest, Extra Trees, XGBoost, were employed to optimize data analysis, delivering high predictive accuracy uncovering key features critical performance.

Language: Английский

Citations

0