Facile synthesis of nitrogen-doped graphene for measuring the releasing process of hydrogen peroxide from living cells

Wu, Ping; Qian, Yingdan; Du, Pan; Zhang, Hui; Cai, Chen

doi:10.1039/c2jm16929k

Cited by 205 publications

(145 citation statements)

References 73 publications

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“…The main peaks in FT-IR spectrum of GO centered at 1046, 1221, 1412, 1631, 1728, and 3400 cm -1 can be attributed to alkoxy C-O, epoxy C-O and C-OH, carboxyl O=C-O, aromatic C=C, C=O (carboxylic acid and carbonyl moieties), and O-H stretches, respectively, confirming the successful oxidation of graphite (Mehrali et al 2013b). After solvothermal treatment, the content of these oxygen-containing groups in GO significantly decreased, while two new nitrogen-related peaks shown up at 1458 and 1550 cm -1 in the FT-IR spectrum of NDG, which can be preliminarily assigned to C-N stretching and N-H bending bonds of amide, respectively (Wu et al 2012). To help investigate the elemental composition and nitrogen bonding configurations in NDG, XPS measurements were performed.…”

Section: Characterization Of Nitrogen-doped Graphenementioning

confidence: 55%

Experimental and numerical investigation of the effective electrical conductivity of nitrogen-doped graphene nanofluids

et al. 2015

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Electrical conductivity is an important property for technological applications of nanofluids that have not been widely investigated, and few studies have been concerned about the electrical conductivity. In this study, nitrogen-doped graphene (NDG) nanofluids were prepared using the two-step method in an aqueous solution of 0.025 wt% Triton X-100 as a surfactant at several concentrations (0.01, 0.02, 0.04, 0.06 wt%). The electrical conductivity of the aqueous NDG nanofluids showed a linear dependence on the concentration and increased up to 1814.96 % for a loading of 0.06 wt% NDG nanosheet. From the experimental data, empirical models were developed to express the electrical conductivity as functions of temperature and concentration. It was observed that increasing the temperature has much greater effect on electrical conductivity enhancement than increasing the NDG nanosheet loading. Additionally, by considering the electrophoresis of the NDG nanosheets, a straightforward electrical conductivity model is established to modulate and understand the experimental results.

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Section: Characterization Of Nitrogen-doped Graphenementioning

confidence: 55%

Experimental and numerical investigation of the effective electrical conductivity of nitrogen-doped graphene nanofluids

et al. 2015

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“…The contributions of different nitrogen species to the N 1s peaks are summarized in Table 1. Fitting of the N 1s spectra yields peaks at the following binding energies: peak at 398.4 ± 0.2 eV can be attributed to the pyridinic nitrogen; peak at 400.1 ± 0.1 eV is mainly assigned to pyrrole-type nitrogen; peak at 401.0 ± 0.1 eV arises due to the presence of nitrogen substitutes in the aromatic graphene structure, that is, quaternary nitrogen or graphitic nitrogen [27,28]. There is also a discernible feature between 402.5 and 404.0 eV.…”

Section: Resultsmentioning

confidence: 99%

Comparison of microwave and conventional heating methods in carbonization of polyacrylonitrile-based stabilized fibers at different temperature measured by an in-situ process temperature control ring

Jin

Guo

et al. 2017

Polymer Degradation and Stability

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“…Proven methods of cellular H 2 O 2 detection have been reported. In particular, electrochemical methods (such as chronoamperometry) have high time resolution and can reflect the intracellular H 2 O 2 release process when cells are stimulated by drugs and the environment [41,42]. Our CoG-1 probe was employed to perform real-time detection of H 2 O 2 .…”

Section: Detection Of Extracellular Release Of H 2 O 2 From Liver Canmentioning

confidence: 99%

Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection

et al. 2014

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Enzymeless hydrogen peroxide (H 2 O 2 ) detection with high sensitivity and excellent selectivity is desirable for clinical diagnosis. Herein, one-dimensional Co 3 O 4 nanowires have been successfully constructed on reduced graphene oxide (rGO) via a simple hydrothermal procedure and subsequent thermal treatment. These Co 3 O 4 nanowires, assembled by small nanoparticles, are interlaced with one another and make a spider web-like structure on rGO. The formation of Co 3 O 4 -rGO hybrids is attributed to the structure-directing and anchoring roles of DDA and GO, respectively. The resulting structure possesses abundant active sites, the oriented transmission of electrons, and unimpeded pathways for matter diffusion, which endows the Co 3 O 4 -rGO hybrids with excellent electrocatalytic performance. As a result, the obtained Co 3 O 4 -rGO hybrids can serve as an efficient electrochemical catalyst for H 2 O 2 oxidation and high sensitivity detection. Under physiological conditions, the oxidation current of H 2 O 2 varies linearly with respect to its concentration from 0.015 to 0.675 mM with a sensitivity of 1.14 mA · mM -1 ·cm -2 and a low detection limit of 2.4 μM. Furthermore, the low potential (-0.19 V) and the good selectivity make Co 3 O 4 -rGO hybrids suitable for monitoring H 2 O 2 generated by liver cancer HepG2 cells. Therefore, it is promising as a non-enzymatic sensor to achieve real-time quantitative detection of H 2 O 2 in biological applications.

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Facile synthesis of nitrogen-doped graphene for measuring the releasing process of hydrogen peroxide from living cells

Cited by 205 publications

References 73 publications

Experimental and numerical investigation of the effective electrical conductivity of nitrogen-doped graphene nanofluids

Experimental and numerical investigation of the effective electrical conductivity of nitrogen-doped graphene nanofluids

Comparison of microwave and conventional heating methods in carbonization of polyacrylonitrile-based stabilized fibers at different temperature measured by an in-situ process temperature control ring

Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection

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