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

Keerakit Kaewket,

Théo Claude Roland Outrequin,

Somrudee Deepaisarn

и другие.

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Май 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.

Язык: Английский

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

и другие.

Journal of Sol-Gel Science and Technology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 2, 2025

Язык: Английский

Процитировано

2
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

и другие.

Sensing and Bio-Sensing Research, Год журнала: 2025, Номер unknown, С. 100783 - 100783

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

2
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

и другие.

Chemosphere, Год журнала: 2025, Номер 372, С. 144095 - 144095

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

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

и другие.

Microchemical Journal, Год журнала: 2025, Номер unknown, С. 113071 - 113071

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

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

и другие.

Green Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 100253 - 100253

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

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

и другие.

RSC Advances, Год журнала: 2025, Номер 15(11), С. 8707 - 8718

Опубликована: Янв. 1, 2025

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

Язык: Английский

Процитировано

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

и другие.

RSC Advances, Год журнала: 2025, Номер 15(13), С. 10442 - 10452

Опубликована: Янв. 1, 2025

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

Язык: Английский

Процитировано

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

и другие.

ACS Sensors, Год журнала: 2025, Номер unknown

Опубликована: Май 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.

Язык: Английский

Процитировано

0