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Journal ArticleDOI

Fabrication of a disposable non-enzymatic electrochemical creatinine sensor

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TLDR
A disposable nonenzymatic sensor for creatinine was developed by electrodepositing copper on screen printed carbon electrodes as mentioned in this paper, which showed a detection limit of 0.0746μM with a linear range of 6-378μΜ.
Abstract
A disposable non-enzymatic sensor for creatinine was developed by electrodepositing copper on screen printed carbon electrodes. The sensor was characterized using electrochemical and microscopic techniques. Electrochemical detection of creatinine was carried out in phosphate buffer solution of pH 7.4. The estimation was based on the formation of soluble copper-creatinine complex. The formation of copper-creatinine complex was established using the pseudoperoxidase activity of copper-creatinine complex. The sensor showed a detection limit of 0.0746 μM with a linear range of 6–378 μΜ. The sensor exhibited a stable response to creatinine and found to be free from interference from molecules like urea, glucose, ascorbic acid and dopamine. Real sample analysis was carried out with blood serum.

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Citations
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MXene-Enabled Electrochemical Microfluidic Biosensor: Applications toward Multicomponent Continuous Monitoring in Whole Blood

TL;DR: Dual‐function of MXene is developed and allows for simultaneous quantification of different target compounds through one device and ratiometric sensing tactic is easily implemented in the system, which greatly alleviates signal drifting.
Journal ArticleDOI

Biophotonic sensor for the detection of creatinine concentration in blood serum based on 1D photonic crystal

TL;DR: In this paper, the transmittance spectra of a one dimensional alternating dielectric photonic crystal (PC) designed as (AB)7/C/(AB) 7 made of MgF2, CeO2 and creatinine concentration present in blood was analyzed.
Journal ArticleDOI

Microfluidic paper-based platform for whole blood creatinine detection

TL;DR: An integrated platform consisting of a 3D microfluidic paper-based analytical device (µPAD) and a portable detection system is proposed for the determination of human whole blood creatinine as mentioned in this paper.
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Biosensing methods for determination of creatinine: A review

TL;DR: This review article describes the classification, operating principles, merits and demerits of various creatinine sensors/biosensors, specifically nanomaterials based biosensors that had storage stability between 4 and 390 days, while being stored dry at 4 °C.
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Modern creatinine (Bio)sensing: Challenges of point-of-care platforms.

TL;DR: A critical discussion of the advantages and drawbacks of current methods of (bio)sensing of creatinine are provided, as well as an overview of the drawbacks that impede their definitive point-of-care establishment.
References
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Book

Electrochemical Methods: Fundamentals and Applications

TL;DR: In this paper, the authors present a comprehensive overview of electrode processes and their application in the field of chemical simulation, including potential sweep and potential sweep methods, coupled homogeneous chemical reactions, double-layer structure and adsorption.
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Creatine and Creatinine Metabolism

TL;DR: A comprehensive survey of the many intriguing facets of creatine (Cr) and creatinine metabolism is presented, encompassing the pathways and regulation of Cr biosynthesis and degradation, species and tissue distribution of the enzymes and metabolites involved, and of the inherent implications for physiology and human pathology.
Journal ArticleDOI

The horseradish peroxidase-catalyzed oxidation of 3,5,3',5'-tetramethylbenzidine. Free radical and charge-transfer complex intermediates.

TL;DR: A theoretical analysis of the oxidation of 3,5,3',5'-tetramethylbenzidine is presented, including a determination of the extinction coefficients and equilibrium constant for the nonradical species.
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Plasma Creatinine Determination A New and Specific Jaffe Reaction Method

TL;DR: In this article, a new and specific Jaffe reaction method was proposed for plasma creatinine determination. But the method is not suitable for the case of high-dimensional data.
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