Au-Pt bimetallic nanoparticles supported on functionalized nitrogen-doped graphene for sensitive detection of nitrite

Li, Zhuang; An, Zhenzhen; Guo, Yongyang; Zhang, Kangning; Chen, Xiaoling; Zhang, Dongxia; Zhang, Xue; Zhou, Xibin; Lu, Xiaoquan

doi:10.1016/j.talanta.2016.09.033

Cited by 56 publications

(12 citation statements)

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“…To find the optimal electrolyte pH and strength for the detection of nitrite, electrochemical signals of the OCFP toward 1.0 mM nitrite were further recorded in PB solutions with different pH values (3.0–11.0) and strengths (0.01–0.5 M). Figure S5a shows that the peak current achieves the maximum at pH 7.0, which is ascribed to the instability of nitrite anions in acidic conditions (decomposition of NO 2 – into NO 3 – ) and the oxidation of nitrite becoming harder because of the insufficient protons in alkaline conditions. , As shown in Figure S5b, the oxidation peak current increases rapidly with the increase of the concentration of PB solution from 0.01 to 0.10 M and achieves the maximum at 0.1 M. , These two optimum parameters are well consistent with the results reported in previous works. ,,,− Figure c presents the effect of diverse scan rates on the current response of OCFP to 1.0 mM NaNO 2 . It can be noted that the oxidation peak potential shifts positively when the scan rate increases from 5 to 100 mV s –1 and the anodic peak current ( I p ) is proportional to the square root of the scan rate with the calibration equation: I p (mA) = −0.177 + 0.215 v 1/2 (mV s –1 ) (Figure d), indicative of a diffusion-controlled process of nitrite oxidation on the surface of OCFP. , Besides, we also found that the anodic peak current increases linearly with the increase of nitrite concentration from 0 to 15 mM and the linear regression equation can be expressed as I p (mA) = 0.7782 + 0.9323 C (mM) ( R 2 = 0.9983) (Figure e,f), proving the distinct current response of OCFP to nitrite in an ultrawide concentration range.…”

Section: Resultssupporting

confidence: 88%

Surface Engineering of Carbon Fiber Paper toward Exceptionally High-Performance and Stable Electrochemical Nitrite Sensing

et al. 2019

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In this work, we introduce our recent finding that the carbon fiber paper (CFP) treated by simple air annealing (OCFP) could be used for exceptionally high-performance electrochemical nitrite sensing. The air-annealing process endows the pristine CFP with higher defective edge/plane sites, more oxygen-containing functional groups, higher roughness, and improved wettability. The electrochemical studies show that the OCFP exhibits excellent sensing performance for nitrite, with an ultralow determination limit of 0.1 μM and a detection limit of 0.07 μM, an ultrawide linear determination range of 0.1–3838.5 μM, a fast current response of 1 s, and a high sensitivity of 930.4 μA mM–1 cm–2. These performance values are comparable or even superior to those for most reported noble- or transition-metal-based advanced nitrite sensors. Besides, this electrode also presents satisfactory stability, reproducibility, and feasibility of nitrite sensing in food samples. As an ideal monolithic and metal-free catalyst with ultrahigh and stable detection performance, the OCFP has a high potential to be integrated into next-generation electrochemical sensing devices.

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Section: Resultssupporting

confidence: 88%

Surface Engineering of Carbon Fiber Paper toward Exceptionally High-Performance and Stable Electrochemical Nitrite Sensing

et al. 2019

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“…As we know, Pt, Au, Pd, Fe, Co, Cu, Mn, and their alloy nanoparticles/N–C nanomaterials are the most active electrocatalysts. − At present, the preparation of M NPs/N–C with nonprecious metals instead of expensive noble metals has become a research hotspot. Among the nonprecious metals, nickel has been widely concerned because of its relatively high abundance and low price.…”

Section: Introductionmentioning

confidence: 99%

Nickel Nanoparticles Supported on Nitrogen-Doped Carbon for Vanillin Detection

Nie

Deng

Zhang

et al. 2020

ACS Appl. Nano Mater.

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We first report a simple, effective, and cost-saving method for the synthesis of nitrogen-doped carbon nanomaterials supported with the high content of nickel nanoparticles (Ni NPs/N–C) using formamide as a carbon and nitrogen source. The characterizations of morphology and structure of the Ni NPs/N–C nanomaterials were analyzed by scanning electron microscopy, transmission electron microscopy, energy-dispersive X-ray spectroscopy, X-ray diffraction, and X-ray photoelectron spectroscopy. A large number of nanotubes were formed during the pyrolysis of the product under the catalysis of nickel salt, which greatly improved the active surface area and the electronic conductivity of the materials. The Ni NPs/N–C was used as an electrode material for electrochemical detection of vanillin. The fabricated sensor enhances the electrochemical signal of vanillin and enables its rapid and accurate determination. Under the optimal measuring conditions, three linear responses were obtained at vanillin concentrations in the range of 0.04–1.0, 1.0–10, and 10–100 μM, respectively. The limit of detection was estimated to be 0.01 μM (S/N = 3). The strategy of producing this new material and its application in electroanalysis will help to fabricate highly sensitive sensors.

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“…Precisely, the addition of a second metal to form a bimetallic system has significantly enhanced the stability and the activity of the designed catalysts due to a synergistic real interaction [ 26 , 27 ]. As we know, the nanostructured nanomaterials must be designed with high stability under conditions of leaching and agglomeration or sintering during the reaction in order to achieve high catalytic performance [ 5 , 28 ].…”

Section: Introductionmentioning

confidence: 99%

Bimetallic M–Cu (M = Ag, Au, Ni) Nanoparticles Supported on γAl2O3-CeO2 Synthesized by a Redox Method Applied in Wet Oxidation of Phenol in Aqueous Solution and Petroleum Refinery Wastewater

et al. 2021

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Three bimetallic catalysts of the type M–Cu with M = Ag, Au and Ni supports were successfully prepared by a two-step synthesized method using Cu/Al2O3-CeO2 as the base monometallic catalyst. The nanocatalysts were characterized using X-ray diffraction (XRD), temperature-programmed reduction of H2 (H2-TPR), N2 adsorption-desorption, scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDS), transmission electron microscopy (TEM) and ultraviolet–visible spectroscopy with diffuse reflectance (DR-UV-Vis) techniques. This synthesized methodology allowed a close interaction between two metals on the support surface; therefore, it could have synthesized an efficient transition–noble mixture bimetallic nanostructure. Alloy formation through bimetallic nanoparticles (BNPs) of AgCuAlCe and AuCuAlCe was demonstrated by DR–UV–Vis, EDS, TEM and H2-TPR. Furthermore, in the case of AgCuAlCe and AuCuAlCe, improvements were observed in their reducibility, in contrast to NiCuAlCe. The addition of a noble metal over the monometallic copper-based catalyst drastically improved the phenol mineralization. The higher activity and selectivity to CO2 of the bimetallic gold–copper- and silver–copper-supported catalysts can be attributed to the alloy compound formation and the synergetic effect of the M–Cu interaction. Petroleum Refinery Wastewater (PRW) had a complex composition that affected the applied single CWAO treatment, rendering it inefficient.

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Au-Pt bimetallic nanoparticles supported on functionalized nitrogen-doped graphene for sensitive detection of nitrite

Cited by 56 publications

References 50 publications

Surface Engineering of Carbon Fiber Paper toward Exceptionally High-Performance and Stable Electrochemical Nitrite Sensing

Surface Engineering of Carbon Fiber Paper toward Exceptionally High-Performance and Stable Electrochemical Nitrite Sensing

Nickel Nanoparticles Supported on Nitrogen-Doped Carbon for Vanillin Detection

Bimetallic M–Cu (M = Ag, Au, Ni) Nanoparticles Supported on γAl2O3-CeO2 Synthesized by a Redox Method Applied in Wet Oxidation of Phenol in Aqueous Solution and Petroleum Refinery Wastewater

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