Enhanced Affinity of Molecularly Imprinted Polypyrrole Film for Creatinine Detection Through Electrochemical Polymerization - Controlled Binding Cavities

Chronic Kidney Disease (CKD) affects millions globally, with diagnosis relying on estimated Glomerular Filtration Rate (eGFR) from creatinine (Cn) measurements, which are costly and time-consuming. Electrochemical sensors based on Molecularly Imprinted Polymers (MIPs) offer a promising alternative for rapid and cost-effective Cn detection. With surface imprinting technique, this study optimized electropolymerized MIP (eMIP) sensors using Ppy monomer printed on SPCE by varying Cn template concentrations (0.2–1.0 M) during polymerization. Characterization via cyclic voltammetry (CV), FTIR, EIS, UV–Vis, and AFM revealed that eMIP 0.4 M demonstrated the most stable binding cavities, crucial for sensor longevity. UV–Vis and AFM analysis further confirmed the superior binding properties of eMIP 0.4 M. The optimized sensor achieved low LOD of 0.00004 M, low LOQ of 0.000133 M, and a linear range detection range of 0.00001–1.0 M for Cn. It exhibited excellent reproducibility and repeatability, with RSD below 13%. The sensor also demonstrated excellent specificity toward creatinine over common interferents and maintained over 83% of its initial signal after three days, confirming its reliability and short-term operational stability for selective creatinine detection. This eMIP sensor platform holds significant potential for point-of-care CKD diagnosis, particularly in resource-constrained environments, where access to traditional testing is limited.

Authors

Institutions

Publication Details

Journal
Journal of The Electrochemical Society
Published
2025-05-30
DOI
https://doi.org/10.1149/1945-7111/addef0
Primary Topic
Electrochemical sensors and biosensors
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhanced Affinity of Molecularly Imprinted Polypyrrole Film for Creatinine Detection Through Electrochemical Polymerization - Controlled Binding Cavities

Azrif Manut, T. H. T. Aziz, Rusli Daik, Faizatul Shimal Mehamod et al.
Journal of The Electrochemical Society
Electrochemical sensors and biosensors
article

Enhanced Affinity of Molecularly Imprinted Polypyrrole Film for Creatinine Detection Through Electrochemical Polymerization - Controlled Binding Cavities

Azrif Manut, T. H. T. Aziz, Rusli Daik, Faizatul Shimal Mehamod, Nurul-Azza Abdullah
article en

Abstract

Chronic Kidney Disease (CKD) affects millions globally, with diagnosis relying on estimated Glomerular Filtration Rate (eGFR) from creatinine (Cn) measurements, which are costly and time-consuming. Electrochemical sensors based on Molecularly Imprinted Polymers (MIPs) offer a promising alternative for rapid and cost-effective Cn detection. With surface imprinting technique, this study optimized electropolymerized MIP (eMIP) sensors using Ppy monomer printed on SPCE by varying Cn template concentrations (0.2–1.0 M) during polymerization. Characterization via cyclic voltammetry (CV), FTIR, EIS, UV–Vis, and AFM revealed that eMIP 0.4 M demonstrated the most stable binding cavities, crucial for sensor longevity. UV–Vis and AFM analysis further confirmed the superior binding properties of eMIP 0.4 M. The optimized sensor achieved low LOD of 0.00004 M, low LOQ of 0.000133 M, and a linear range detection range of 0.00001–1.0 M for Cn. It exhibited excellent reproducibility and repeatability, with RSD below 13%. The sensor also demonstrated excellent specificity toward creatinine over common interferents and maintained over 83% of its initial signal after three days, confirming its reliability and short-term operational stability for selective creatinine detection. This eMIP sensor platform holds significant potential for point-of-care CKD diagnosis, particularly in resource-constrained environments, where access to traditional testing is limited.

Journal of The Electrochemical SocietyVol. 172(6)
Universiti Malaysia Terengganu (MY), Universiti Teknologi MARA System (MY), Universiti Teknologi MARA (MY), National University of Malaysia (MY)
Universiti Kebangsaan Malaysia
Openalex Percentile: Top 90%
Electrochemical sensors and biosensors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.