Electrochemical non-enzymatic sensing of glucose by gold nanoparticles incorporated graphene nanofibers

Shamsabadi, Amir Shahin; Tavanai, Hossein; Ranjbar, M.; Farnood, Ameneh; Bazarganipour, Mehdi

doi:10.1016/j.mtcomm.2020.100963

Cited by 34 publications

(18 citation statements)

References 54 publications

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“…One of the reasons the electrocatalytic and adsorptive properties of nanofibers are so frequently exploited for sensor design is that they allow for non-enzymatic sensing, which avoids many of the drawbacks of classical chemical recognition elements [78][79][80]. However, electrocatalysis and adsorption sensing mechanisms lend themselves to nonspecific, class-recognition sensing rather than analyte-specific sensing, which can result in selectivity issues.…”

Section: Analyte-specific Recognitionmentioning

confidence: 99%

Perspective on Nanofiber Electrochemical Sensors: Design of Relative Selectivity Experiments

2021

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The use of nanofibers creates the ability for non-enzymatic sensing in various applications and greatly improves the sensitivity, speed, and accuracy of electrochemical sensors for a wide variety of analytes. The high surface area to volume ratio of the fibers as well as their high porosity, even when compared to other common nanostructures, allows for enhanced electrocatalytic, adsorptive, and analyte-specific recognition mechanisms. Nanofibers have the potential to rival and replace materials used in electrochemical sensing. As more types of nanofibers are developed and tested for new applications, more consistent and refined selectivity experiments are needed. We applied this idea in a review of interferant control experiments and real sample analyses. The goal of this review is to provide guidelines for acceptable nanofiber sensor selectivity experiments with considerations for electrocatalytic, adsorptive, and analyte-specific recognition mechanisms. The intended presented review and guidelines will be of particular use to junior researchers designing their first control experiments, but could be used as a reference for anyone designing selectivity experiments for non-enzymatic sensors including nanofibers. We indicate the importance of testing both interferants in complex media and mechanistic interferants in the selectivity analysis of newly developed nanofiber sensor surfaces.

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Section: Analyte-specific Recognitionmentioning

confidence: 99%

Perspective on Nanofiber Electrochemical Sensors: Design of Relative Selectivity Experiments

2021

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“…Author details 1 School of Physics and Electronics, Hunan Key Laboratory for Super-Microstructure and Ultrafast Process, Central South University, Changsha 410083,…”

Section: Supplementary Informationmentioning

confidence: 99%

“…In recent years, diabetes has raised great attention worldwide, promoting the rapid and accurate determination for glucose concentration [1]. Various techniques have been developed [2].…”

Section: Introductionmentioning

confidence: 99%

Porous Carbon Substrate Improving the Sensing Performance of Copper Nanoparticles Toward Glucose

Feng

et al. 2021

Nanoscale Res Lett

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An accurate sensor to rapidly determine the glucose concentration is of significant importance for the human body health, as diabetes has become a very high incidence around the world. In this work, copper nanoparticles accommodated in porous carbon substrates (Cu NP@PC), synthesized by calcinating the filter papers impregnated with copper ions at high temperature, were designed as the electrode active materials for electrochemical sensing of glucose. During the formation of porous carbon, the copper nanoparticles spontaneously accommodated into the formed voids and constituted the half-covered composites. For the electrochemical glucose oxidation, the prepared Cu NP@PC composites exhibit much superior catalytic activity with the current density of 0.31 mA/cm2 at the potential of 0.55 V in the presence of 0.2 mM glucose. Based on the high electrochemical oxidation activity, the present Cu NP@PC composites also exhibit a superior glucose sensing performance. The sensitivity is determined to be 84.5 μA /(mmol.L) with a linear range of 0.01 ~ 1.1 mM and a low detection limit (LOD) of 2.1 μmol/L. Compared to that of non-porous carbon supported copper nanoparticles (Cu NP/C), this can be reasonable by the improved mass transfer and strengthened synergistic effect between copper nanoparticles and porous carbon substrates.

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“…Milk adsorbed on graphene increases plasmon absorbance at 282 nm. A shift of plasmon absorbance of graphene to the longer wavelengths and broadening of the SPR peak is clearly observed [17][18][19][20]. There is a distinct change in graphene plasmon absorbance to longer wavelengths, as well as a widening of the SPR peak.…”

Section: Optical Sensingmentioning

confidence: 99%

Synthesis and characterization of graphene derived from biomass for optical sensing of milk proteins

Thiruganasambanthan

Thiagamani

Siengchin

2021

Biomass Conv. Bioref.

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Graphene particles were synthesized from biomass, i.e., wood powder, for the first time in this work for analyzing milk protein content in samples such as cow milk and pocket milk. The production of graphene on large scale is one of the biggest challenges. Graphene synthesis by a low-cost method is achieved by thermal treatment of wood powder. Label-free detection of milk by graphene using UV-Visible spectroscopy is reported. This method of detection of milk is rapid, highly sensitive, and more economical. The large specific surface area of graphene allows for very good adsorption of target biomolecules. Though graphene is reported widely for its remarkable properties such as high electrical and thermal conductivity, high strength, anti-corrosion, and sensitivity, its applications are less explored. Graphene is synthesized by heating wood powder to a high temperature of about 800 °C. The structural and morphological studies are performed using XRD, FTIR, and SEM analysis. The protein content in milk is measured by optical sensing using graphene as the sensing material. Raw cow milk and commercial pocket milk are selected, and their quality is analyzed using UV-Visible spectroscopy. The milk samples are detected using the surface plasmon resonance (SPR) peak of graphene through the non-enzymatic method. The analysis of the SPR peak at 282 nm clearly shows the ability of graphene as a bio-molecular recognition element. The intensity of the absorbance increases linearly when the amount of milk increases from 0.25 to 1 ml. Thus, graphene can replace noble metal nanoparticles in the field of biosensing.

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Electrochemical non-enzymatic sensing of glucose by gold nanoparticles incorporated graphene nanofibers

Cited by 34 publications

References 54 publications

Perspective on Nanofiber Electrochemical Sensors: Design of Relative Selectivity Experiments

Perspective on Nanofiber Electrochemical Sensors: Design of Relative Selectivity Experiments

Porous Carbon Substrate Improving the Sensing Performance of Copper Nanoparticles Toward Glucose

Synthesis and characterization of graphene derived from biomass for optical sensing of milk proteins

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