Performance of template-assisted electrodeposited Copper/Cobalt bilayered nanowires as an efficient glucose and Uric acid senor

Gupta, Jyoti; Arya, Sandeep; Verma, Sonali; Singh, Anoop; Sharma, Asha; Singh, Bikram; Prerna,; Sharma, Rakesh K.

doi:10.1016/j.matchemphys.2019.121969

Cited by 40 publications

(20 citation statements)

References 63 publications

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“…The amperometric biosensors do not utilize optical or electrochemical devices, but rather depend only on the current measurements. The development of biosensors started from glucose sensing and most of the glucose-sensing involves the catalytic reaction of the enzyme with the glucose oxidase [48,49]. The sensitivity of such glucose sensors is affected by the variation in temperature and pH.…”

Section: Amperometric Biosensormentioning

confidence: 99%

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

et al. 2021

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The electrochemical biosensors are a class of biosensors which convert biological information such as analyte concentration that is a biological recognition element (biochemical receptor) into current or voltage. Electrochemical biosensors depict propitious diagnostic technology which can detect biomarkers in body fluids such as sweat, blood, feces, or urine. Combinations of suitable immobilization techniques with effective transducers give rise to an efficient biosensor. They have been employed in the food industry, medical sciences, defense, studying plant biology, etc. While sensing complex structures and entities, a large data is obtained, and it becomes difficult to manually interpret all the data. Machine learning helps in interpreting large sensing data. In the case of biosensors, the presence of impurity affects the performance of the sensor and machine learning helps in removing signals obtained from the contaminants to obtain a high sensitivity. In this review, we discuss different types of biosensors along with their applications and the benefits of machine learning. This is followed by a discussion on the challenges, missing gaps in the knowledge, and solutions in the field of electrochemical biosensors. This review aims to serve as a valuable resource for scientists and engineers entering the interdisciplinary field of electrochemical biosensors. Furthermore, this review provides insight into the type of electrochemical biosensors, their applications, the importance of machine learning (ML) in biosensing, and challenges and future outlook.

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Section: Amperometric Biosensormentioning

confidence: 99%

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

et al. 2021

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“…The enzyme-based approach is expensive, and the obtained sensor is sensitive to environmental conditions, lacks reproducibility, and requires complicated immobilization of the enzyme. Non-expensive and robust non-enzymatic sensors perform direct oxidation of UA on the surface of the electrode material [ 29 , 30 ]. Various materials, such as covalent organic and metal incorporated conductive polymers [ 13 , 16 , 19 , 23 ], metal oxides [ 30 , 31 , 32 ], carbon-based materials, and their composites [ 11 , 12 , 33 ], have been tested for UA detection [ 5 , 26 ].…”

Section: Introductionmentioning

confidence: 99%

La(OH)3 Multi-Walled Carbon Nanotube/Carbon Paste-Based Sensing Approach for the Detection of Uric Acid—A Product of Environmentally Stressed Cells

et al. 2022

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This paper aims to develop an amperometric, non-enzymatic sensor for detecting and quantifying UA as an alert signal induced by allergens with protease activity in human cell lines (HEK293 and HeLa). Uric acid (UA) has been classified as a damage-associated molecular pattern (DAMP) molecule that serves a physiological purpose inside the cell, while outside the cell it can be an indicator of cell damage. Cell damage or stress can be caused by different health problems or by environmental irritants, such as allergens. We can act and prevent the events that generate stress by determining the extent to which cells are under stress. Amperometric calibration measurements were performed with a carbon paste electrode modified with La(OH)3@MWCNT, at the potential of 0.3 V. The calibration curve was constructed in a linear operating range from 0.67 μM to 121 μM UA. The proposed sensor displayed good reproducibility with an RSD of 3.65% calculated for five subsequent measurements, and a low detection limit of 64.28 nM, determined using the 3 S/m method. Interference studies and the real sample analysis of allergen-treated cell lines proved that the proposed sensing platform possesses excellent sensitivity, reproducibility, and stability. Therefore, it can potentially be used to evaluate stress factors in medical research and clinical practice.

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“…Therefore, in spite of their high Glu selectivity, they suffer from reproducibility, instability, deactivation due to long time storage and exposure to elevated temperatures, as well as from a relatively higher cost [9][10][11]. Under these circumstances, the development of non-enzymatic electrochemical sensors without biological functional units has attracted an increased interest thanks to their structural simplicity, lower cost and better quality control for mass production, while benefitting from the current development of a large range of novel nanostructured materials possessing various morphologies [9,[11][12][13][14] The rapid advancement in nanoscience and nanotechnology has opened new approaches for the preparation of nanostructured electrodes either as films or as nanoparticles, nanowires, nanorods or nanotubes, which are usually characterized by electrocatalytic properties due to the enlargement of surface area, generation of electrocatalytic active sites and formation of nano-space enclosed by conducting surfaces [2,9,11,[15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…There has been a growing interest in the fabrication of non-enzymatic glucose Glu sensors based on cheaper non-precious transition metals [9,32]. Particularly, Ni-, Cu-and Co-based metal and metal oxide structures have been studied due to their good catalytic performance [11,19,21,32,33]. Various Cu, Cu compounds and Cu alloy nanomaterials possessing different morphologies have been investigated as electrodes for Glu electrochemical detection, including Cu nanowires [2,9,16,17], Cu(OH) 2 nano-flowers [34] or nano-tubes [35], Cu 2 O or CuO-based nanostructures [36,37], as well as Cu/Co bilayers [19] and Cu/Ni nanostructures [38,39].…”

Section: Introductionmentioning

confidence: 99%

“…Particularly, Ni-, Cu-and Co-based metal and metal oxide structures have been studied due to their good catalytic performance [11,19,21,32,33]. Various Cu, Cu compounds and Cu alloy nanomaterials possessing different morphologies have been investigated as electrodes for Glu electrochemical detection, including Cu nanowires [2,9,16,17], Cu(OH) 2 nano-flowers [34] or nano-tubes [35], Cu 2 O or CuO-based nanostructures [36,37], as well as Cu/Co bilayers [19] and Cu/Ni nanostructures [38,39]. Compared to other types of morphologies, i.e., nanowires, nanorods, nanotubes, etc., the development of novel nanoporous materials have also attracted an increased interest for applications in electrocatalysis and electroanalysis.…”

Section: Introductionmentioning

confidence: 99%

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Electrochemical Non-Enzymatic Detection of Glucose Based on 3D Electroformed Copper on Ni Foam Nanostructures

et al. 2020

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Despite the fact that the electrochemical biosensors based on glucose oxidase represent the golden standard for the management of diabetes, the elaboration of nonenzymatic sensors became extensively studied as an out-of-the-box concept that aims to simplify the existing approach. An important point of view is represented by the low price of the sensing device that has positive effects for both end-users and healthcare systems. The enzyme-free sensors based on low-cost materials such as transition metals have similar analytical properties to the commercial ones while eliminating the issues associated with the presence of the enzyme, such as the stability issues and limited shelf-life. The development of nanoporous nanomaterials for biomedical applications and electrocatalysis was referred to as an alternative to the conventional methods due to their enlarged area, electrical properties, ease of functionalization and not least to their low cost. Herein, we report the development of an electrochemical nonenzymatic sensor for glucose based on 3D copper nanostructures with Ni foams as promotor of the enhanced nanoporous morphology. The sensors were successfully tested in the presence of the designated target, even in the presence of common interference agents found in biological samples.

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Performance of template-assisted electrodeposited Copper/Cobalt bilayered nanowires as an efficient glucose and Uric acid senor

Cited by 40 publications

References 63 publications

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

Recent Advances in Electrochemical Biosensors: Applications, Challenges, and Future Scope

La(OH)3 Multi-Walled Carbon Nanotube/Carbon Paste-Based Sensing Approach for the Detection of Uric Acid—A Product of Environmentally Stressed Cells

Electrochemical Non-Enzymatic Detection of Glucose Based on 3D Electroformed Copper on Ni Foam Nanostructures

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