Nano Research Nano Res DOI 10.1007/s12274-014-0617-6 Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection Lingjun Kong,1 Zhiyu Ren,1 () Nannan Zheng,2 Shichao Du,1 Jun Wu,1 Jingling Tang,2 and Honggang Fu1 () Nano Res., Just Accepted Manuscript • DOI 10.1007/s12274-014-0617-6 http://www.thenanoresearch.com on October 22, 2014 © Tsinghua University Press 2014 Just Accepted This is a “Just Accepted” manuscript, which has been examined by the peer-review process and has been accepted for publication. A “Just Accepted” manuscript is published online shortly after its acceptance, which is prior to technical editing and formatting and author proofing. Tsinghua University Press (TUP) provides “Just Accepted” as an optional and free service which allows authors to make their results available to the research community as soon as possible after acceptance. After a manuscript has been technically edited and formatted, it will be removed from the “Just Accepted” Web site and published as an ASAP article. Please note that technical editing may introduce minor changes to the manuscript text and/or graphics which may affect the content, and all legal disclaimers that apply to the journal pertain. In no event shall TUP be held responsible for errors or consequences arising from the use of any information contained in these “Just Accepted” manuscripts. To cite this manuscript please use its Digital Object Identifier (DOI® ), which is identical for all formats of publication. 1 TABLE OF CONTENTS (TOC) Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection Lingjun Kong, Zhiyu Ren, Nannan Zheng, Shichao Du, Jun Wu, Jingling Tang, and Honggang Fu* 1 Heilongjiang University, China 2 Harbin Medical University, China. Interconnected 1D Co3O4 nanowires, assembled with small nanoparticles, are designed and synthesized on reduced graphene oxide via a simple solvothermal method. Owing to the synergistic effects of abundant active sites, the orientation transmission of electrons, and the unimpeded pathways for matter diffusion, the hybrids exhibit excellent enzymeless H2O2 detection performance, and are used in the monitoring H2O2 generated from liver cancer HepG2 cells. 1 Nano Res DOI (automatically inserted by the publisher) Research Article Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection Lingjun Kong,1 Zhiyu Ren,1 () Nannan Zheng,2 Shichao Du,1 Jun Wu,1 Jingling Tang,2 and Honggang Fu1 ( ) 1 Key Laboratory of Functional Inorganic Material Chemistry, Ministry of Education of the People's Republic of China, School of Chemistry and Materials Science, Heilongjiang University, Harbin 150080 P. R. China, Tel.: +86 451 8660 4330, Fax: +86 451 8666 1259, E–mail: [email protected]; [email protected] 2 Department of Pharmaceutics, School of Pharmacy, Harbin Medical University, Harbin, 150086 P. R. China. Received: day month year / Revised: day month year / Accepted: day month year (automatically inserted by the publisher) © Tsinghua University Press and Springer–Verlag Berlin Heidelberg 2013 ABSTRACT Enzymeless hydrogen peroxide (H2O2) detection with high sensitivity and excellent selectivity are desirable for clinical diagnosis. Herein, one–dimensional Co3O4 nanowires were successfully constructed on reduced graphene oxide (rGO) via a simple hydrothermal procedure and consequent thermal treatment. These Co 3O4 nanowires, assembled by small nanoparticles, are interlaced with one another and make spider web-like structure on rGO. The formation of Co3O4–rGO hybrids is attributed to the structure–directing and anchoring role of DDA and GO, respectively. Such unique structure possesses abundant active sites, the orientation transmission of electrons, and the unimpeded pathways for matter diffusion, and then endows Co 3O4–rGO hybrids with excellent electrocatalytic performance. As a result, the obtained Co3O4–rGO hybrids can serve as an efficient electrochemical catalyst for H2O2 oxidation and sensitive detection. Under the physiological condition, the oxidation current of H2O2 is linear to its concentration from 0.015 mM to 0.675 mM with 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 3O4–rGO hybrids suitable for monitoring H2O2 generated from liver cancer HepG2 cells. Therefore, it is promising as a non–enzymatic sensor to achieve real–time quantitative detection of H2O2 in biological application. KEYWORDS Interconnected nanowires, Co3O4–rGO hybrids, synergistic effect, electrocatalysis, enzymeless H2O2 detection, ———————————— Address correspondence to H. Fu, [email protected], [email protected] 2 1 Introduction Electrocatalytic detection of hydrogen peroxide (H2O2) has attracted much interest over past years for the construction of abiotic catalyzed fuel cells [1], the oxygen evolution reaction [2], especially for the development of H2O2 sensing in biological body [3–5]. The role of H2O2 in the process of human life activities is closely related to its content. Real–time detection of H2O2 in vivo not only can help to reveal the inherent law between small molecules and human disease, but also can accurately diagnose diseases, and monitor the progress of the disease [6]. Commonly, electrochemical H2O2 sensors with enzymes detect the substrate with specificity, high efficiency, and high sensitivity in certain physiological conditions [5, 7]. But, because of the characters of high cost, difficulty for recycle, and being disturbed easily by external environment, the practical application of enzyme–based H2O2 sensors has been greatly limited. Therefore, considerable attention has been focused on direct electrocatalytic oxidation of H2O2 at metal–based electrodes for enzyme–free sensing with fast response, high stability and reproducibility [8, 9]. Noble metal [10] and its alloys [1] as attractive materials for H2O2 sensing have been extensively studied. The electron configuration determines its inherent good catalytic performance. The highest proportion of d–band in noble metal can participate in coordination, and then the specific ligand structure can be formed with the carrier or reaction to improve its catalytic activity. Despite of that, the high cost, as the primary factor, is still one of the unresolved issues on the development in sensors, so people attempt to replace noble metal for cutting cost [11–13]. C. Wang et al found Au–Fe3O4 NPs are more active than either single component [14]. Dumbbell–like PtPd−Fe3O4 nanoparticles, X. Sun et al. preparated, show better performance in H2O2 electrochemical detection [15]. In this case, Fe3O4 not only greatly enhances the catalytic properties of PtPd particles because of the electron transfer between two different components, but also reduces the cost of electrode materials. People may wonder whether noble metals could be substituted completely by transition metal oxides. Recent studies present evidences that many kinds of transition metal oxides themselves also have certain catalytic activity, such as MnO2, NiO, TiO2 and so on [16–19]. Among them, Co3O4 shows excellent electrocatalytic performance toward H2O2 [20–22]. However, the current detection results are not as good as being expected, which is mainly attributed to its single morphology and poor conductivity [23]. In term of morphology, most of the reported Co3O4 for H2O2 detection are nanoparticles. Although they have large surface area for active sites to be exposed, the directional confinement for rapid electronic transmission is limited. For the intrinsic characteristic-poor conductivity, the most effective solution is to introduce the conductive agent [24, 25]. Thus, if we could design a novel hybrid to overcome these problems synchronously, it could provide good opportunities for the development of H2O2 sensors. As is well known, the one–dimensional (1D) nanostructures, like nanowires [26] and nanotubes [27], have outstanding performance in the orientation transmission of electrons. However, in general, 1D structure grows vertically on the substrate by seed-induced strategy, resulting in the uniform structure. Although it can cause the directional transmission electron, its lower surface area is not conducive to electrocatalysis [28, 29]. So, it may easily be conceived, that, if 1D Co 3O4 nanowires assembled with nanoparticles, it may simultaneously possess the large surface area and active sites for catalysis, and the directional confinement for rapid electronic transmission. Further, if such anticipated Co3O4 nanowires could be interlaced with each other, the spider web-like structure could provide the unimpeded pathways for matter diffusion, which can further improve the electrochemical performance [30]. On the other hand, to improve the conductivity, the appropriate conductive agent cannot be ignored. Recently, it has been found that reduced graphene oxide (rGO) acts as a two–dimensional (2D) conductive template to assemble 1D nanostructures for three–dimensional (3D) conductive networks, and suppresses the volume change and agglomeration of 1D nanostructures [31, 32]. The unique capabilities of rGO could inspire the synthesis of interconnected 1D Co3O4 nanowires for H2O2 detection. In this case, rGO could be used as both the conductive agent [31] and the structure–directing agent for 3D network. Based on the above design, we fabricated interconnected 1D Co3O4 nanowires on rGO (Co3O4–rGO hybrids) via simple solvothermal reaction and consequent thermal treatment, utilizing dodecylamine (DDA) and GO as structure–directing agent and anchoring agent, respectively (as shown in Scheme 1). And, the Co3O4 nanowires assembled with small nanoparticles, which are attributed to encircling DDA protectors 3 for suppressing the undesirable grain growth. The high catalytic activity of Co3O4–rGO hybrids for H2O2 was come true through this strategy, which increased the active sits of electrochemistry obviously, and accelerated the transport of electrons. The obtained Co3O4–rGO hybrids were also used to detect H2O2 released from liver cancer HepG2 cells. Teflon–lined stainless autoclave, and then kept at 180 ºC for 12 h. After the autoclave cooled down to room temperature, the precursor product was collected, washed, and dried, which is denoted as CoG–p. Then, Co3O4–rGO hybrids (CoG–x) was obtained by thermal–treatment CoG–p at 300 ºC in air for 2 h. As control, the samples with different dosage ratio and different solvothermal reaction time were all prepared. Meanwhile, rGO decorated with Co3O4 nanoparticles (Co3O4/rGO) and pristine Co3O4 are prepared. The detailed experimental parameters were displayed in Table 1. Table 1. The experimental parameters of the synthesized Co3O4–rGO hybrids. Samples Scheme 1 Schematic illustration of the synthesis procedure for Co3O4–rGO hybrids and their electrocatalytic mechanism. 2 2.1 Experimental Initial dosage ratio of (mol ratio) Co DDA GO CoG–1 3 6 4 CoG–2 1 2 4 CoG–3 2 4 4 CoG–4 4 8 4 Co3O4/rGO 3 0 4 Co3O4 3 6 0 Material synthesis Synthesis of graphene oxide (GO). GO sheets were synthesized from expandible graphite flakes by a modified Hummers method [33]. Briefly, expandible graphite (2.0 g) was combined with 50 mL concentrated sulfuric acid in a 250 mL beaker under vigorous agitation at room temperature. Afterwards, sodium nitrate (2.0 g) and potassium permanganate (6.0 g) were slowly poured into the beaker in a sequence. Next, the mixture was heated at 28 ºC for 24 h. After that, 80 mL of distilled water was added into the solution. 5 min later, 20 mL of 30% H 2O2 was dropped into the reaction system. Finally, the product was washed with hydrochloric acid solution and then washed three times with water. The resulting solid was obtained by the low temperature drying. Synthesis of Co3O4–rGO hybrids. In a typical procedure, 0.218 g of Co(NO3)2·6H2O and 0.375 g of GO were firstly dispersed in 20 mL of deionized water by ultrasonication, and then 15 mL ethanol with 0.52 g DDA was slowly added dropwise into this mixed solution with vigorous stirring. The solution was then transferred into a 50 mL 2.2 Characterization The morphology of the products was analyzed using scanning electron microscopy (SEM, Hitachi S–4800) with an acceleration voltage of 15 kV and transmission electron microscopy (TEM, JEOL JEM–3010) with an acceleration voltage of 300 kV. Carbon–coated copper grids were used as sample holders for TEM analysis. X–ray photoelectron spectroscopy (XPS) analysis was performed with AXIS UL TRA DLD. X–ray diffraction (XRD) patterns were obtained by a Bruker D8 Advance diffractometer by using CuKα radiation (λ=1.5406 Å). The Raman spectra were acquired using a Raman spectrophotometer (HR800, HORIBA Jobin Yvon Company) excited by a laser with 457.9 nm wavelength. Nitrogen adsorption–desorption isotherms at 77 K were collected on Micromeritics Tristar Ⅱ3020 nitrogen adsorption apparatus. The Brunauer–Emmett–Teller (BET) equation was used to calculate the specific surface area. Thermogravimetric (TG) and differential scanning calorimetryanalysis (DSC) were performed on TA 4 Q600 under a stream of air at a heating rate of 10 °C·min–1. The Fourier transform infrared (FT–IR) spectra were recorded on a Nicolet IS10. The bright–field microscopy image was taken by the confocal laser scanning microscopy (Olympus). 2.3 Electrochemical measurements Electrochemical experiments were performed in a conventional three–electrode system, using a saturated calomel electrode (SCE) and a Pt sheet as the reference and the counter electrode, respectively. A 0.4 cm diameter glass carbon (GC) used as working electrode was polished with 30 nm Al 2O3 paste, followed by washing with water and alcohol. Five milligrams of catalyst mixed with 50 µ L of 5 wt % Nafion ionomer was dispersed in 0.1 mL of alcohol solution. After the catalyst ink was sonicated for 0.5 h, a volume of the ink was evenly dropped onto the well–polished GC electrode surface and allowed to dry at ambient temperature, denoted as CoG–x–GC electrode. To evaluate the activity of the support catalyst in relation to H2O2 biosensor, a 0.10 M Phosphate Buffer Saline (PBS, pH 7.4) and H2O2 (30% vol) solution was used for electrochemical measurements. Electrochemical activity and stability of catalysts to H2O2 were tested with a BAS 100B electrochemical workstation. Initially, electrode potentials were cycled between two potential limits until two perfectly overlapping, subsequent voltammograms were obtained. Electrochemical impedance spectra (EIS) were performed with AUTOLAB electrochemical workstation in 0.1 M KCl containing 2 mM K3[Fe(CN)6]/K4[Fe(CN)6] (1:1) mixture at room temperature. 2.4 Detection of extracellular release of H2O2 from liver cancer HepG2 cells Human liver cancer HepG2 cells were obtained from Harbin Medical University. The cells were maintained in a culture medium consisting of Dulbecco’s modified minimum essential medium (37 °C, 5% CO2) and subcultured every 3 days. After growing to 80% confluence, HepG2 cells were washed three times with PBS (pH 7.4), and the cell number was estimated by a hemocytometer. 5.0 mL PBS was added for the detection of the flux of H2O2 releasing from cancer HepG2 cells. The CoG–1/GC electrode was biased at –0.19 V (vs. SCE). After a steady background was obtained, 0.2 μM N–formylmethionyl–leucyl–phenylalanine (fMLP) was added, and the response current was recorded at 37 °C. 3 Results and Discussion 3.1 Structure and morphology of Co3O4–rGO hybrids According to the design strategy, CoG–p was synthesized by solvothermal reaction at 180 °C for 12 h. In the FT–IR spectrum of CoG–p (Figure S1), the characteristic peaks at 2927 cm–1 is attributed to C–H asymmetric stretching vibration of the hydrophobic chains of DDA, and the absorption at 1647 cm–1 and 1489 cm–1 are assigned to the vibration of –NH2. Such results imply Co coordinated with DDA through sharing the electron pair of the –NH2 group. According to the TG and DSC analysis (Figure S2), further thermal treatment was carried out to remove DDA. Obviously, after calcination at 300 ºC, the absorption peaks of the coordination complex between Co and DDA are either weakened or completely lost in the FT–IR spectrum of CoG–1 (Figure S1). Simultaneously, two distinct peaks at 567 cm–1 and 660 cm–1 appear, assigned to the vibration of Co–O bond [34]. The results indicate that most of DDA decompose after calcination, and the coordination complex converts to Co3O4. In addition, the oxygen–containing functional peak at 1382 cm–1 (C–O) disappears for the sample CoG–1 [35]. In contrast, the skeletal vibration of the graphene sheets at 1570 cm–1 emerges, further indicating that GO is reduced during the solvothermal reaction [36]. To validate the crystallographical structure, CoG–1 was characterized by XRD (shown in Figure 1a). Compared with the XRD pattern of CoG–p, six high–intensity crystal peaks at 2θ = 31.2°, 36.8°, 44.7°, 55.8°, 59.3°, and 65.1° can be perfectly indexed as (200), (311), (400), (422), (511) and (440), respectively. They are accord with the standard date of spinel–phased Co3O4 crystal (JCPDS NO. 43–1003), further indicating that the conversion of structure 5 from the amorphous to high crystallinity Co3O4 takes place during calcination process. However, less percentage and lower crystallinity of rGO makes its diffraction peaks so weak. Figure 1b shows the Raman spectra of CoG-1 and CoG–p. Apparently, the narrow, strong and not overlapped D-band (at 1354 cm-1), G-band (at 1580 cm−1), and the intense 2D-band (at 2712cm−1), which are the symbols of the graphitic carbon, can be observed in the Raman spectrum of CoG-1. And, the ID/IG of CoG-1 is about 0.778, which is smaller than that of CoG-p (0.937). Moreover, compared to the Raman spectrum of CoG-p, four characteristic peaks from crystalline Co3O4 (corresponding to Eg, F2g1, F2g2, and A1g modes) become more distinct in the spectrum of CoG-1. These demonstrate that the crystallinity of Co3O4 improves and that GO is further reduced during thermal treatment, which consists with XRD analysis. All these results provide the stronger evidence for the coexistence of Co3O4 and rGO in the hybrids. characteristic of Co3O4, attributed to surface hydroxide species from exposure to air. For the C 1s XPS of CoG–1, the main peak centered at about 284.6 eV originates from the graphitic sp2 carbon atoms (C=C), whereas the weaker ones arise from the oxygenated carbons at ca. 285.7 eV (C–O), 287.9 eV (C=O), and 289.0 eV (O=C–O), suggesting that GO has been well deoxygenated to form rGO [37]. However, although DDA contains nitrogen element, N1s peak cannot be observed in the XPS spectrum of CoG-1 (Figure S3), implying that there is no nitrogen element doped in rGO during both hydrothermal procedure and thermal treatment. Figure 2 Typical SEM (a–b), TEM (c–d), and HRTEM image (e) of CoG–1. The inset of (e) is the according SAED. Figure 1 (a) XRD patterns of CoG–1 and CoG–p; (b) Raman spectrum of CoG – 1 and CoG – p; (c) and (d) the high–resolution Co 2p and C 1s XPS spectra of CoG–1, respectively. In order to confirm the surface chemical compositions and valence states of CoG–1, XPS is performed and shown in Figure 1(c–d). In the Co 2p XPS of CoG–1, accompanying weaker satellite peaks, two major peaks at 795.6 and 780.2 eV are corresponded to 2p1/2 and 2p3/2 spinorbit components, respectively (Figure 1c). Moreover, the Co 2p3/2 peak at 780.2 eV is more intense. These are the typical The size, morphology, and structure of CoG–1 were also characterized by SEM and TEM. Obviously, rGO is fully and uniformly covered by nanowire–like Co3O4. These Co3O4 nanowires are interlaced with one another, making spider web-like structure. The high–magnification TEM image reveals that Co 3O4 nanowires are about 20–30 nm in diameter and several micrometers in length. The nanowires are composed of numerous nanoparticles with the average size of 5 nm (Figure 2d, Figure S4 and S5). The maintaining of these small nanoparticles during the thermal–treatment process is mainly due to the encircling DDA, which can effectively suppress the undesirable grain growth [38]. The obtained loose and interconnected structure, containing multiple 6 dimensions (0D, 1D and 2D), not only provides a large accessible surface area (BET surface area : 140.6 m2 ﹒g, Figure S6) and more active sites, but also facilitates the charge transportation and matter diffusion, indicating the better electrocatalytic performance. The HRTEM image of CoG–1 shows three lattice fringes of 0.24 nm, 0.14 nm, and 0.29 nm corresponding to Co3O4 (311), (440) and (220) respectively. The corresponding selected area electron diffraction (SAED) (inset image of Figure 2e) illustrates that the hybrids are polycrystalline structure, including Co3O4 and rGO. 3.2 Formation mechanism of Co3O4–rGO hybrids To investigate the formation details of hybrids, we carried out the synthesis of Co3O4–rGO hybrids under different condications. From Figure S7, it can be seen that, when Co3O4–rGO hybrids are synthesized without DDA, Co3O4 nanoparticles with larger size (about 20 nm) are anchored on the surface of rGO by the strong electrostatic interaction between Co2+ and GO. When Co3O4–rGO hybrids are synthesized without GO, sheet-like Co3O4 can be obtained, assembled by Co3O4 nanocrystals whose size is similar to that aggregated as nanowires (Figure S7b and S7d). In the case, the complexes of Co(DDA)n2+ were formed first, due to the coordination of Co2+ and NH2 headgroup of DDA. Then, Co(DDA)n2+ further assemble with each other driven by Van der Wals force of the encircling long alkyl chains. Above all, both DDA and GO play key roles in the whole synthetic process of Co3O4–rGO hybrids. Thus, we propose that DDA palys the structure-directing role for the formation of the interconnected 1D nanowire, and rGO provides sites for anchoring Co3O4 nanowires by the electrostatic interaction, as illustrated in Scheme 2 [39]. In the reaction, part of Co(DDA)n2+ formed at the beginning of reaction (or DDA) could anchor on the surface of GO by the electrostatic interaction between Co(DDA)n2+ (or DDA) and the oxygen-containing groups of GO (-COOH or -OH). However, due to the large steric exclusion, the surface of GO cannot be occupied completely, as shown in Figure S8a. With prolongation of reaction, the adjacent Co(DDA) n2+ (or DDA) on GO further assemble with each other by Van der Wals force among the long alkyl chains, and which could even assemble with the isolated Co(DDA)n2+ and DDA forming spider web-like micelles (Figure S8b and S8c). Most important of all, such micelles bind strongly on GO by the electrostatic interaction. When the solvothermal time is extended, the spider web-like micelles are further aggregation, resulting in thicker and shorter Co3O4 nanorods (Figure S8d). In addition, Co3O4 amount also plays an important role in determining the shapes of Co3O4–rGO hybrids. With increasing Co3O4 amount from 50 wt% to 78 wt% calculated by TG curves (as shown in S9 and Table S1), the morphology of Co3O4 on rGO changes from nanoparticles, interconnected nanowires to nanorods (Figure S10). However, in any case, the encircling DDA may evolve to the amorphous layer to prevent the agglomeration and the undesirable grain growth of Co3O4 nanocrystals. Scheme 2 Schematic illustration of the proposed formation mechanism for Co3O4-rGO hybrids. 3.3 Electrocatalytic activity of Co3O4–rGO hybrids to H2O2 7 The electrocatalytic activity of CoG–1/GC electrode towards H2O2 was investigated. PBS solution (0.10 M, pH 7.4) was used for electrochemical measurements, because it is able to mediate enzymeless detection of H2O2. Figure 3a shows the typical cyclic voltammograms (CVs) of CoG–1/GC, Co3O4/GC, rGO/GC, and Co3O4/rGO/GC electrodes in PBS solution with 0.10 mM H2O2. Obviously, CoG–1/GC electrode generates an obvious couple of high redox peaks at –0.19 V in comparison with the bare rGO/GC, Co3O4/GC, and Co3O4/rGO/GC electrodes. The pair of well–defined redox peaks associated with the oxidation of H2O2, illustrating the synergistic effect between Co3O4 nanowires and rGO enhance the electrochemical activity for H2O2. According to previous reports, the electrocatalytic oxidation of H2O2 on CoG–1 should undergo the following reaction [40]: 2Co(Ⅲ)+ H2O2+ 2OH– → 2Co(Ⅱ) + O2 + 2H2O To further clarify the advantage of Co3O4–rGO hybrids in electrocatalytic activity, electrochemical impedance spectra (EIS) were carried out (Figure. 3b). The electrocatalytic activity of CoG–1 hybrids is better than those of the corresponding pristine rGO, Co3O4, and Co3O4/rGO resulting from the lower Rct and Rs of CoG–1. These mean that the electron transfer resistance and the ion diffusion impedance are both reduced dramatically when rGO is introduced. Meanwhile, the synergic effect between rGO and Co3O4 can further enhance the electrochemical performance. One the other hand, spider web-like Co3O4 nanowires on rGO, in contrast to Co3O4/rGO, could supply more efficient interfacial active sites for electrocatalysis, and promote the orientation transmission of electrons. As a result, it is expected that the fill factor of CoG–1/GC electrodes could be remarkably improved and further ensure a promising performance. This is corroborated by the electrochemical performance as mentioned above in Figure 3a. Figure 3 (a) CVs of CoG–1/GC, rGO/GC, Co3O4/GC, and Co3O4/rGO/GC electrodes in 0.1 M PBS (pH 7.4) solution with 0.1 mM H2O2, scan rate: 50 mV﹒s –1. (b) Nyquist plots of CoG–1/GC, rGO/GC, Co3O4/GC, and Co3O4/rGO/GC electrodes in 0.1 M KCl containing 2 mM [Fe(CN)6 ]3/4–. Figure 4a shows the CVs of the CoG–1/GC electrode at different scan rates, which can explore the reaction kinetics process. Both of the redox peak currents increase linearly as the scan rate grow from 25 to 200 mV ﹒ s–1, suggesting that it is a surface–controlled electrochemical process (Figure 4b) [41]. Such dependence is also consistent with the fast charge propagation in CoG–1/GC electrode. Apparently, the interconnected rGO, and 1D Co3O4 nanowire assembled with nanoparticles seem to support charge transport within the hybrids. In other words, the unimpeded distribution of charge to Co3O4–rGO matrix is feasible. Figure 4 (a) CVs of CoG–1/GC electrode in 0.10 M PBS (pH 7.4) solution with 0.1 mM H2O2 measured at different scan rates (25–200 mV∙s–1). (b) The calibration plots between the anodic (black line) and cathodic (red line) peak currents and the scan rate (Ipa = 0.1075 V + 0.0057, R2 = 0.9964; Ipc = –0.2264 V – 0.0069, R2 = 0.9989; Ipa, Ipc, and V are anodic, cathodic peak current and scan rate, respectively). (c) CVs of CoG–1/GC electrode in 0.1 M PBS solution with different H2O2 concentrations (0–0.7 mM). (d) I–t curve of CoG–1/GC electrode (holding at –0.19 V vs. SCE) to the successive addition of H2O2 in 0.1 M PBS. The inset is the calibration linear relationship of 8 currents versus H2O2 concentration. Also, a series of CVs were recorded on CoG–1/GC electrode at various concentrations of H2O2. With the increase of H2O2 concentration, the reduction current at –0.19 V increases (Figure 4c). Therefore, –0.19 V (vs. SCE) is used as the detection voltage for evaluating the H2O2 sensitivity of CoG–1/GC electrode upon the successive addition of H2O2 with stirring constantly. Figure 4d shows the typical I–t curve of electrochemical response versus successive addition of different H2O2 around the CoG–1/GC electrode. Staircase curve can be seen that the electrochemical response as the concentration of H2O2 increased. The current starts to become more obvious when micromole level of H2O2 is added and quickly reaches a stable value. Current response time is about 5s. To value the CoG–1 activity in the non–enzymatic reaction with H2O2 as substrate, the under inset of Figure 4d depicts the calibration curve of CoG–1/GC electrode obtained from the current–time plot, showing a well–defined typical behavior of a catalytic reaction with a linear range from 0.015 mM to 0.675 mM. A current plateau is observed when the H2O2 concentration is higher than 0.675 mM. A linear regression equation of I (mA) = 0.04 (mA﹒mM–1) ×C (mM) + 0.106, (n = 3, R2 = 0.9998) is thus derived from the calibration curve, revealing that the H2O2 sensor has a detection limit as low as 2.4 μM (S/N = 3). The relatively smaller linear range, however, is compensated by the remarkably enhanced sensitivity and the low response peak potential (–0.19 V). Through linear fitting, its sensitivity up to 1.14 mA ﹒ mM–1 ﹒ cm–2, which greatly exceeds the sensitivity of most previously reported graphene or cobalt oxide/hydroxide–based H2O2 detection (Table S2). The low response potential also indicates that Co3O4–rGO hybrids possess excellent selectivity for H2O2 [42]. As shown in Figure 5, the addition of interferents, e.g. 0.05 mM of urea, uric acid (UA), L–cysteine (L–Cys), dopamine (DA) and glucose (Glc) according to the order in PBS (pH 7.4) solution containing 0.1 mM of H2O2 gives rise to the negligible current response, while a significant current response is observed for the subsequent addition of 0.1 mM of H2O2. Compare the response current of H2O2 after adding interferents with before, it is indicated that the interferents had no impact on the H2O2 detection performance. The stability and repeatability of Co3O4-rGO hybrids have also been evaluated by CVs measured at different cycles. As shown in Figure S11, the current response of the hundredth cycle is almost the same as that of first cycle. It indicates the superior stability and accuracy of Co3O4-rGO hybrids. Figure 5 Amperometric response to the addition of different analytes to 50 mL of electrolyte (0.1 M PBS), UA = uric acid, L–Cys = L–cysteine, DA = dopamine, Glc = glucose. The influence of Co3O4 content on the electrocatalytic performance of the hybrids was further investigated by cyclic voltammetry (as shown in Figure S12). It can be concluded that CoG–1 exhibits the lowest reduction peak current and relatively small peak potential, suggesting that CoG–1 possesses the better electrochemicial performance for H2O2 and has more value for practical biological application. 3.4 Detection of extracellular release of H2O2 from liver cancer HepG2 cells Detection of H2O2 in cell level is constrained by many factors, such as small scale of cells, the low content of H2O2 cellular, the lack of effective capture H2O2 probe and so on. The proven methods on cellular H2O2 detection have been reported. Especially, the electrochemical method (such as chronoamperometry) has high time resolution and its curve can reflect the intracellular H2O2 release process when cells are stimulated by drugs and environment [42, 43]. So, the sensitive CoG–1 probe is applied to perform real–time detection of H2O2. 9 HepG2 cells are employed as model cells to demonstrate the excellent electrochemical detection ability of CoG–1. Under the stimulation of N–formylmethionyl–leucyl–phenylalanine (fMLP), HepG2 cells can rapid release H2O2, which is good for authenticity. The cells were observed by a confocal laser scanning microscopy, as shown in Figure 6a. After growing, the HepG2 cells can attain to 80% confluence. After a period of stability, 0.2 μM of fMLP is added into the electrolyte. We can see from Figure 6b, an obvious increase in current can be observed. The current decreases to a stable level within 350 s, indicating that H2O2 is either consumed or diffused away from the electrode surface. To prove the current signal is from materials response to H2O2, catalase is applied to consume the release H2O2. With adding 500 U ﹒ ml–1 catalase, the current decreases to background level afterwards. As a contrast test, control wells containing no HepG2 cells do not generate any signal response to the addition of fMLP or catalase. This observation substantially demonstrates that the H2O2 electrochemical biosensor based on CoG–1/GC electrode establishes a sensitive, reliable analysis for the routine determination of H2O2 released by live cells and potential to be useful for further physiological and pathological investigations. nanoparticles, benefits from the structure–directing and anchoring role of DDA and GO, respectively. The Co3O4–rGO hybrids exhibited excellent electrocatalytic activity and selectivity for H2O2 oxidation. The enhanced effectiveness was ascribed to the interconnected structure, and the synergistic effect of Co3O4 and rGO, in favor of the large accessible surface area, more active sites and the orientation transmission of electrons, as well as the unimpeded pathways for matter diffusion. In addition, the highly active Co3O4–rGO hybrids can be used for real–time detection of H2O2 released from HepG2 cells, implying they are suitable for biological and biomedical application, such as the intra– and extracellular H2O2 detection. Acknowledgements We gratefully acknowledge the support of the Key Program Projects of the National Natural Science Foundation of China (No. 21031001), the National Natural Science Foundation of China (No. 51102082, 91122018, 21371053), the Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China (No. 708029), Program for Innovative Research Team in University (IRT–1237), Youth Foundation of Heilongjiang Province of China (QC2013C009). Electronic Supplementary Material: Supplementary material such as IR, TG, SEM image and additional data, is available in the online version of this article at http://dx.doi.org/10.1007/s12274–***–****–* (automatically inserted by the publisher). References Figure 6 (a) The bright–field microscopy image of HepG2 cells. (b) Amperometric response of CoG–1/GC electrode in 0.1 M – PBS (pH 7.4) with the addition of 0.2 µm fMLP and 300 U mL 1 catalase in the absence and present of HepG2 cells. 4 Conclusions In summary, we have demonstrated the fabrication and application of Co3O4–rGO hybrids for H2O2 electrochemical biosensors. The formation of the spider web-like Co3O4 nanowires, made up of small [1] Jirkovsky, JS.; Panas, I.; Ahlberg, E.; Halasa, M.; Romani,S.; Schiffrin, DJ. Single Atom Hot–Spots at Au–Pd Nanoalloys for Electrocatalytic H2O2 Production. J. Am. Chem. Soc. 2011, 133, 19432–19441. [2] Son, J.; Cho, S.; Lee, C.; Lee, Y.; Shim, J. H. Spongelike Nanoporous Pd and Pd/Au Structures: Facile Synthesis and Enhanced Electrocatalytic Activity. Langmuir 2014, 30, 3579–3588. [3] Kim, M. I.; Ye, Y.; Won, B. Y.; Shin, S.; Lee, J.; Park, H. G. A Highly Efficient Electrochemical Biosensing Platform by Employing Conductive Nanocomposite Entrapping Magnetic Nanoparticles and Oxidase in Mesoporous Carbon Foam. Adv. Funct. Mater. 2011, 21, 2868–2875. 10 [4] Chen, W.; Cai, S.; Ren, Q. Q.; Wen, W.; Zhao, Y. D. Recent advances in electrochemical sensing for hydrogen peroxide: a review. Analyst 2012, 137, 49–58. [5] Chen, X.; Zhang, J. J.; Xuan, J.; Zhu, J. J. Myoglobin/Gold Nanoparticles/Carbon Spheres 3–D Architecture for the Fabrication of a Novel Biosensor. Nano Res. 2009, 2, 210–219. [6] Wu, P.; Cai, Z.; Chen, J.; Zhang, H.; Cai, C. Electrochemical measurement of the flux of hydrogen peroxide releasing from RAW 264.7 macrophage cells based on enzyme–attapulgite clay nanohybrids. Biosens. Bioelectron. 2011, 26, 4012–4017. [7] Zhai, D.; Liu, B.; Shi, Y.; Pan, L.; Wang, Y.; Li, W.; Zhang, R.; Yu, G. Highly Sensitive Glucose Sensor Based on Pt Nanoparticle/Polyaniline Hydrogel Heterostructures. ACS Nano 2013, 7(4), 3540–3546. [8] Wei, H.; Wang, E. Nanomaterials with enzyme–like characteristics (nanozymes): next–generation artificial enzymes. Chem. Soc. Rev. 2013, 42, 6060–6093. [9] Chen, A.; Chatterjee, S. Nanomaterials based electrochemical sensors for biomedical applications. Chem. Soc. Rev. 2013, 42, 5425–5438. [10] Hsu, M. S.; Chen, Y. L.; Lee, C. Y.; Chiu, H. T. Gold Nanostructures on Flexible Substrates as Electrochemical Dopamine Sensors. ACS Appl. Mater. Interfaces. 2012, 4, 5570–5575. [11] Zhao, Y.; Zhang, W.; Lin, Y.; Du, D. The vital function of Fe3O4@Au nanocomposites for hydrolase biosensor design and its application in detection of methyl parathion Nanoscale 2013, 5, 1121–1126. [12] Lou, L.; Yu, K.; Zhang, Z.; Huang, R.; Zhu, J.; Wang, Y.; Zhu, Z. Dual–Mode Protein Detection Based on Fe3O4–Au Hybrid Nanoparticles. Nano Res. 2012, 5(4), 272–282. [13] Kong, L.; Ren, Z.; Du, S.; Wu, J.; Fu, H. Co2Nx/nitrogen-doped reduced graphene oxide for enzymeless glucose detection. Chem. Commun. 2014, 50, 4921-4923. [14] Liu, J.; Zhang, W.; Zhang, H.; Yang, Z.; Li, T.; Wang, B.; Huo, X.; Wang, R.; Chen, H. A multifunctional nanoprobe based on Au–Fe3O4 nanoparticles for multimodal and ultrasensitive detection of cancer cells. Chem. Commun. 2013, 49, 4938–4940. [15] Sun, X.; Guo, S.; Liu, Y.; Sun, S. Dumbbell–like PtPd–Fe3O4 Nanoparticles for Enhanced Electrochemical Detection of H2O2. Nano Lett. 2012, 12, 4859–4863. [16] Meng, Y.; Song, W.; Huang, H.; Ren, Z.; Chen, S. Y.; Suib, S. L. Structure–Property Relationship of Bifunctional MnO2 Nanostructures: Highly Efficient, Ultra–Stable Electrochemical Water Oxidation and Oxygen Reduction Reaction Catalysts Identified in Alkaline Media. J. Am. Chem. Soc. 2014, 136, 11452–11464. [17] Wan, P. B.; Yin, S. Y.; Liu, L. L.; Li, Y. G.; Liu, Y. J.; Wang, X. T.; Leow, W. R.; Ma, B.; Chen, X. D. Graphene Carrier for Magneto–Controllable Bioelectrocatalysis. Small 2014, 10(4), 647–652. [18] Liu, L.; Wang, N.; Cao, X.; Guo, L. Direct Electrochemistry of Cytochrome c at a Hierarchically Nanostructured TiO2 Quantum Electrode. Nano Res. 2010, 3, 369–378. [19] Zhang, G.; Xia, B. Y.; Wang, X.; Lou, X. W. Strongly Coupled NiCo2O4–rGO Hybrid Nanosheets as a Methanol–Tolerant Electrocatalyst for the Oxygen Reduction Reaction. Adv. Mater. 2014, 26, 2408–2412. [20] Dong, X. C.; Xu, H.; Wang, X. Y.; Huang, Y. X.; Chan–Park, M. B.; Zhang, H.; Wang, L. H.; Huang, W.; Chen, P. 3D Graphene–Cobalt Oxide Electrode for High–Performance Supercapacitor and Enzymeless Glucose Detection. ACS Nano 2012, 6, 3206–3213. [21] Wang, X. W.; Dong, X. C.; Wen, Y. Q.; Li, C. M.; Xiong, Q. H.; Chen, P. A graphene–cobalt oxide based needle electrode for non–enzymatic glucose detection in micro–droplets. Chem. Commun. 2012, 48, 6490–6492. [22] Li, S.-S.; Cong, H.-P.; Wang, P.; Yu, S.-H. Flexible nitrogen-doped graphene/carbon nanotube/Co3O4 paper and its oxygen reduction activity. Nanoscale 2014, 6, 7534–7541. [23] Jiang, J.; Li, Y.; Liu, J.; Huang, X.; Yuan, C.; Lou, X. W. Recent Advances in Metal Oxide–based Electrode Architecture Design for Electrochemical Energy Storage. Adv. Mater. 2012, 24, 5166–5180. [24] Niu, Z. Q.; Liu, L. L.; Zhang, L.; Shao, Q.; Zhou, W. Y.; Chen, X. D.; Xie, S. S. A Universal Strategy to Prepare Functional Porous Graphene Hybrid Architectures. Adv. Mater. 2014, 26, 3681–3687. [25] Kong, L. J.; Ren, Z. Y.; Du, S. C.; Wu, J.; Fu, H. G. Co2Nx/Nitrogen-doped Reduced Graphene Oxide for Enzymeless Glucose Detection. Chem. Commun. 2014, 50, 4921–4923. [26] Xiong, S.; Chen, J. S.; Lou, X. W.; Zeng, H. C. Mesoporous Co3O4 and CoO@C Topotactically Transformed from Chrysanthemum–Like Co(CO3)0.5 (OH)·0.11H2O and Their Lithium–Storage Properties. Adv. Funct. Mater. 2012, 22, 861–871. [27] Cui, C. H.; Yu, J. W.; Li, H. H.; Gao, M. R.; Liang, H. W.; Yu, S. H. Remarkable Enhancement of Electrocatalytic Activity by Tuning the Interface of Pd–Au Bimetallic Nanoparticle Tubes. ACS Nano 2011, 5(5), 4211–4218. [28] Gao, H. L.; Xu, L.; Long, F.; Pan, Z.; Du, Y. X.; Lu, Y.; Ge, J.; Yu, S. H. Macroscopic Free–Standing Hierarchical 3D Architectures Assembled from Silver Nanowires by Ice Templating. Angew. Chem. Int. Ed. 2014, 53, 4561–4566. [29] Xie, J. L.; Guo, C. X.; Li, C. M. Construction of one–dimensional nanostructures on graphene for efficient energy conversion and storage. Energy Environ. Sci. 2014, 7, 2559–2579. [30] Yin, S. Y.; Wu, Y.-L.; Hu, B. H; Wang, Y.; Cai, P. Q.; Tan, C. K.; Qi, D. P.; Zheng, L. Y.; Leow, W. R.; Tan, N. S.; Wang, S. T.; Chen, X. D. Three–Dimensional Graphene 11 Composite Macroscopic Structures for Capture of Cancer Cells. Adv. Mater. Interfaces 2014, 1, 1300043 (6 p). [31] Yang, Y.; Asiri, A. M.; Tang, Z.; Du, D.; Lin, Y. Graphene based materials for biomedical applications. Mater. Today. 2013, 16, 365–373. [32] Liu, L. L.; Niu, Z. Q.; Zhang, L.; Chen, X. D. Structural Diversity of Bulky Graphene Materials. Small 2014, 10(11), 2200–2214. [33] Wang, H. L.; Robinson, J. T.; Li, X. L.; Dai, H. J. Solvothermal Reduction of Chemically Exfoliated Graphene Sheets. J. Am. Chem. Soc. 2009, 131, 9910–9911. [34] Jiang, J.; Li, L. Synthesis of sphere–like Co3O4 nanocrystals via a simple polyol route. Mater. Lett. 2007. 61, 4894–4896. [35] Yin, S.; Zhang, Y.; Kong, J.; Zou, C.; Li, C. M.; Lu, X.; Ma, J.; Boey, F. Y. C.; Chen, X. Assembly of Graphene Sheets into Hierarchical Structures for High–Performance Energy Storage. ACS Nano 2011, 5(5), 3831–3838. [36] Zhang, H.; Lv, X. J.; Li, Y. M.; Wang, Y.; Li, J. H. P25–Graphene Composite as a High Performance Photocatalyst. ACS Nano 2010, 4, 380–386. [37] Stankovich, S.; Piner, R. D.; Chen, X. Q.; Wu, N. Q.; Nguyen, S. T.; Ruoff, R. S. J. Mater. Chem. 2006, 16, 155–158. [38] Zhou, W.; Li, W.; Wang, J. Q.; Qu, Y.; Yang, Y.; Xie, Y.; Zhang, K.; Wang, L.; Fu, H.; Zhao, D. Ordered Mesoporous Black TiO2 as Highly Efficient Hydrogen Evolution Photocatalyst. J. Am. Chem. Soc. 2014, 136, 9280–9283. [39] Zhong, Z.; Ng, V.; Luo, J.; Teh, S. P.; Teo, J.; Gedanken, A. Manipulating the Self-Assembling Process to Obtain Control over the Morphologies of Copper Oxide in Hydrothermal Synthesis and Creating Pores in the Oxide Architecture. Langmuir 2007, 23, 5971–5977. [40] Heli, H.; Pishahang, J. Cobalt oxide nanoparticles anchored to multiwalled carbon nanotubes: Synthesis and application for enhanced electrocatalytic reaction and highly sensitive nonenzymatic detection of hydrogen peroxide. Electrochim. Acta 2014, 123, 518–526. [41] Tabrizi, M. A.; Lahiji, A. A. S. Self–assembling of Prussian blue nanocubic particles on nanoporous glassy carbon and its use in the electrocatalytic reduction of hydrogen peroxide. J. Iran. Chem. Soc. 2014, 11, 1015–1020. [42] Xiao, F.; Li, Y.; Zan, X.; Liao, K.; Xu, R.; Duan, H. Growth of Metal–Metal Oxide Nanostructures on Freestanding Graphene Paper for Flexible Biosensors. Adv. Funct. Mater. 2012, 22, 2487–2494. [43] Wu, P.; Qian, Y.; Du, P.; Zhang, H.; Cai, C. Facile synthesis of nitrogen–doped graphene for measuring the releasing process of hydrogen peroxide from living cells. J. Mater. Chem. 2012, 22, 6402–6412. 12 Electronic Supplementary Material Interconnected 1D Co3O4 nanowires on reduced graphene oxide for enzymeless H2O2 detection Lingjun Kong,1 Zhiyu Ren,1 () Nannan Zheng,2 Shichao Du,1 Jun Wu,1 Jingling Tang,2 and Honggang Fu1 ( ) 1 Key Laboratory of Functional Inorganic Material Chemistry, Ministry of Education of the People's Republic of China, Heilongjiang University, Harbin 150080 P. R. China, Tel.: +86 451 8660 4330, Fax: +86 451 8666 1259, E–mail: [email protected] 2 Department of Pharmaceutics, School of Pharmacy, Harbin Medical University, Harbin, 150086 P. R. China. Supporting information to DOI 10.1007/s12274–****–****–* (automatically inserted by the publisher) ———————————— Address correspondence to H. Fu, [email protected], [email protected] 13 Results and disccussion Figure S1 FT–IR spectra of CoG–p and CoG–1. The decomposition temperature of DDA was measured by TG analysis under air atmosphere. As shown in Figure S2a, TG curve of CoG–p presents a great loss of weight about 36.6% from 200 to 400 ºC sharply, indicating the thermal decomposition of DDA and GE in air atmosphere. Meanwhile, two obvious exothermic peaks at 230 °C and 390 °C appear in the corresponding DSC curve. In contrary, only an exothermic peak at 420 °C can be observed in the DSC curve of pure GO, attributed to the decomposition of GO. So, 300 °C is identified as the calcination temperature to ensure the existent of GE. Figure S2 TG and DSC curves of CoG–p (a) and GO (b) measured under air atmosphere. 14 Figure S3 XPS spectrum of CoG-1. Figure S4 High-magnification SEM image of CoG–1. Figure S5 TEM images of CoG–1. a) The original image of Figure 2d, and b) the high-magnification image. 15 Figure S6 N2 adsorption–desorption isotherms of CoG–1. Figure S7 SEM and TEM images of samples synthesized at 180 ℃ for 12 h, (a, c) Co3O4/rGO (without DDA) and (b, d) Co3O4 (without GO). 16 Figure S8 SEM images of Co3O4-rGO hybrids synthesized at 180 ℃ for different reaction time, (a–d) 6h, 9 h, 12 h, and 15 h, respectively. Figure S9 TG curves of CoG–2, CoG–3, CoG–1, CoG–4, and rGO. Table S1 The experimental parameters of the synthesized Co3O4–rGO hybrids. Samples Co3O4 content calculated from TG analyses (%) CoG–1 72 CoG–2 50 CoG–3 58 CoG–4 78 17 Figure S10 SEM images of Co3O4-rGO hybrids synthesized with different ratio of Co3O4 and rGO, (a–d) CoG–2, CoG–3, CoG–1, and CoG–4, respectively. Table S2. Comparison of the analytical performance of different H2O2 biosensors. Detection limit Sensitivity (μM) (mA mM–1 cm–2) (mM) –0.19[a] 2.46 1.00 0.02–0.43 [1] Ag@C@Ag/GCE –0.56[a] 23 –––– 0.07–10 [2] GNPs/GN–CS/GCE –0.40[b] 1.6 –––– 0.005–35 [3] GN–Co3O4 NPs/GCE –0.48[a] 0.06 1.14 0.0002–0.211 [4] CoOOH nanosheets 0.10[a] 40 0.099 –––1.6 [5] Cu2O/GE –0.40[a] 20.8 –––– 0.3–7.8 [6] RGO/Fe3O4 /Au –0.30[b] 3.2 –––– 0.1–6.0 [7] Electrode materials Potential (V) Co3O4/MWCNTs Linear range Ref. Co3O4 nanostructures –0.77[a] –––– –––– 0–1.7 [8] spinel CoMnOx (SCM) –0.65[a] 15 –––– 0.1–25 [9] GN–AuNPs/GCE –0.40[a] 6.0 –––– 0.020–0.280 [10] HRP–AuNP–PANi –0.25[b] 0.3 0.1178 –––0.36 [11] PtPd − Fe3O4 –0.25[a] 0.005 –––– Pt–MnO2/rGOP –0.15[a] 1.0 0.1295 0.002–13.33 [13] CoG–1 –0.19[b] 2.4 1.14 0.01–0.675 This work 2*10–5—1*10–4—1*10–3 [12] [a] Potential vs. Ag/AgCl; [b] Potential vs. SCE. 18 Figure S11 CVs of CoG-1/GC electrodes in 0.1 mol﹒L–1 PBS with 0.1 mM H2O2 solution obtained at the first cycle, fifth cycle and hundredth cycle, respectively. Figure S12 CVs of CoG–1/GC, CoG–2/GC, CoG–3/GC, and CoG–4/GC electrodes in 0.1 mol﹒L–1 PBS with 0.1 mM H2O2 solution, scan rate: 50 mV﹒s−1 Notes and references [1] Heli, H.; Pishahang, J. Cobalt Oxide nanoparticles anchored to multiwalled carbon nanotubes: Synthesis and application for enhanced electrocatalytic reaction and highly sensitive nonenzymatic detection of hydrogen peroxide. Electrochim. Acta 2014, 123, 518–526. [2] Wang, Q, M.; Niu, H, L.; Mao, C, J.; Song, J, M.; Zhang, S, Y. Facile Synthesis of trilaminar core–shell Ag@C@Ag Nanospheres and their application for H2O2 detection. Electrochim. Acta 2014, 127, 349–354. [3] Jia, N.; Huang, B.; Chen, L.; Tan, L.; Yao, S. A Simple non–enzymatic hydrogen peroxide sensor using gold nanoparticles–graphene–chitosan modified electrode. Sensor. Actuat. B—Chem. 2014, 195, 165–170. [4] Karuppiah, C.; Palanisamy, S.; Chen, S, M.; Veeramani, V.; Periakaruppan, P. A Novel enzymatic glucose biosensor and sensitive non–enzymatic hydrogen peroxide sensor based on grapheme and cobalt oxide nanoparticles composite modified glassy carbon electrode. Sensor. Actuat. B—Chem. 2014, 196, 450–456. [5] Lee, K, K.; Loh, P, Y.; Sow, C, H.; Chin, W, S. CoOOH nanosheet electrodes: Simple fabrication for sensitive electrochemical sensing of hydrogen peroxide and hydrazine. Biosens. Bioelectron. 2013, 39, 255–260. 19 [6] Liu, M.; Liu, R.; Chen, W. Graphene wrapped Cu2O nanocubes: Non–enzymatic electrochemical sensors for the detection of glucose and hydrogen peroxide with enhanced stability. Biosens. Bioelectron. 2013, 45, 206–212. [7] Ye, Y.; Kong, T.; Yu, X.; Wu, Y.; Zhang, K.; Wang, X. Enhanced Nonenzymatic hydrogen peroxide sensing with reduced graphene oxide/ferroferric oxide nanocomposites. Talanta 2012, 89, 417– 421. [8] Pang, H.; Gao, F.; Chen, Q.; Liu, R.; Lu, Q. Dendrite–like Co3O4 nanostructure and its applications in sensors supercapacitors and catalysis. Dalton Trans. 2012, 41, 5862–5868. [9] Kuo, C, C.; Lan, W, J.; Chen, C, H. Redox preparation of mixed–valence cobalt manganese oxide nanostructured materials: highly efficient noble metal–free electrocatalysts for sensing hydrogen peroxide. Nanoscale 2014, 6, 334–341. [10] Hu, J.; Li, F.; Wang, K.; Han, D.; Zhang, Q.; Yuan, J.; Niu, L. One–step Synthesis of graphene–AuNPs by HMTA And the electrocatalytical application for O2 and H2O2, Talanta. 2012, 93, 345–349. [11] Guo, C, X.; Zheng, X, T.; Ng, S, R.; Lai, Y.; Lei, Y.; Li, C, M. In situ molecular detection of ischemic cells by enhanced protein direct electron transfer on a unique horseradish peroxidase–Au nanoparticles–polyaniline nanowires biofilm. Chem. Commun. 2011, 47, 2652–2654. [12] Sun, X.; Guo, S.; Liu, Y.; Sun, S. Dumbbell–like PtPd−Fe3O4 Nanoparticles for Enhanced Electrochemical Detection of H2O2. Nano Lett. 2012, 12, 4859–4863. [13] Xiao, F.; Li, Y.; Zan, X.; Liao, K.; Xu, R.; Duan, H. Growth of Metal–Metal Oxide Nanostructures on Freestanding Graphene Paper for Flexible Biosensors. Adv. Funct. Mater. 2012, 22, 2487–2494. 20
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