DOI:
10.1039/C4RA09321F
(Paper)
RSC Adv., 2015,
5, 16010-16016
Synthesis of high purity chain-like carbon nanospheres in ultrahigh yield, and their microwave absorption properties
Received
27th August 2014
, Accepted 29th January 2015
First published on 29th January 2015
Abstract
Over Fe/SnO2 nanoparticles generated by a combined sol–gel/reduction method, high purity chain-like carbon nanospheres (CNSs) could be synthesized in large quantities through the catalytic decomposition of acetylene at 700 °C. The effect of SnO2 content on the yield, microstructure and microwave absorbing properties of the obtained CNSs were studied in detail. The results demonstrate that the content of SnO2 has a great impact on the yield and dimensions of the obtained CNSs, and an ultrahigh yield of 309 was reported. Moreover, the smaller size of chain-like CNSs, which can be obtained over the catalysts with higher SnO2 content, exhibit enhanced microwave absorption properties due to their better complementarities between the dielectric and magnetic tangent loss. Based on the results, we also discuss the possible formation mechanism of CNSs. Therefore, we propose a simple and environmentally-friendly route for the mass production of chain-like CNSs with high purity, and the as-synthesized chain-like CNSs exhibit good microwave absorbing abilities.
1. Introduction
In the last two decades, many researchers have focused their interest in the study of carbon nanotubes (CNTs), carbon nanofibers (CNFs) and fullerene because of their excellent properties and potential applications in more and more fields.1–3 It is well known that carbon, as an element, is unique in the number and the variety of ways in which it can bond. Apart from the filamentous arrangements of graphene sheets leading to CNT or CNF, the paring of pentagonal, heptagonal and hexagonal carbon rings can also arrange to create novel structures with dissimilar properties.4 Among those novel structures, because of their unclosed sheets in the spherical arrangement, carbon nanospheres (CNSs) have only started to attract considerable attention in recent years. The unclosed graphitic flakes of CNSs can create many open edges at the surface and provide reactive “dangling bonds”, which enhance surface reactions and establish their excellent properties and potential applications in the fields of gas storage, sensing, lithium-ion batteries, adsorption and so on.5–7 It is thus very desirable to exploit simple and reliable processes to produce this new carbon material. Generally, the present methods for CNS synthesis involve hydrothermal reaction, arc plasma techniques, metathesis reactions and template routes.8–11 The aforementioned methods for synthesizing CNSs still suffer from low product yields and purities, which limit their use in these applications greatly.
Catalytic chemical vapor deposition (CCVD), as a promising technique for the growth of carbon nanomaterials (CNMs), has several advantages including high selectivity, high yield, low cost and selective growth.12–14 However, the reported yield and/or purity of CNSs produced through CVD process was typical low, and the size of as-synthesized CNSs had a wide distribution.15–17
Recently, the microwave absorbing performance of various structured CNMs such as CNTs, helical carbon nanomaterials (HCNMs), etc. have been investigated intensively for the possible applications as effective and lightweight electromagnetic (EM) irradiation shielding materials.18–20 However, the study of CNSs as the microwave absorber in the open literature is seldom. Enlightened by the merit of the previous work,21 we believe that SnO2 plays an important role on the formation and yield of the obtained CNSs. In this work, we report the large-scale synthesis of well-defined chain-like CNSs with the assistance of SnO2 and attempt to investigate electromagnetic, microwave absorbing properties and possible formation mechanism of the obtained chain-like CNSs.
2. Experimental
2.1 Synthesis of catalyst precursor
Similar to the method reported elsewhere,22 in a typical experiment, 0.03 mol FeCl2·4H2O and 0.045 mol citric acid monohydrate were dissolved in 200 ml absolute ethanol. After stirred at 60 °C for 6 h, a clear solution was obtained. Then amount of SnCl4·5H2O (0.0015 mol) was added to the solution, and the mixture was stirred for 2 h. The resulting mixture was kept at 80 °C until the formation of a xerogel. After heating the xerogel in air at 500 °C for 4 h, the catalyst precursor (denoted as no. 1) was obtained. By a similar approach, no. 2 and 3 catalyst precursors were generated using 0.0045 and 0.0100 mol SnCl4·5H2O with other experimental conditions unchanged, respectively.
2.2 Synthesis of chains-like CNSs
In this process, 0.03 g of the catalyst precursor powder was dispersed on a ceramic plate which was then placed inside a quartz reaction tube (60 cm in inner diameter and 100 cm in length). Firstly, the temperature of furnace was raised from room temperature (RT) to 500 °C in Ar for 1 h. Then, the corresponding catalyst precursor powder was in situ reduced in H2 at 500 °C for 4 h. After that, the temperature of furnace was raised from 500 to 700 °C in Ar for 0.5 h. Finally, Ar was cut off and acetylene was introduced into the tube at 700 °C for 4 h. After cooling to RT with Ar flowing through the reaction tube, large quantities of black powder (denoted as A, B and C) were collected, respectively.
2.3 Characterization of products
The phases and morphologies of sample were examined over an X-ray powder diffractometer (XRD), transmission electron microscope (TEM), and field-emission scanning electron microscope (FE-SEM), respectively. Raman spectroscopic investigation was performed using a Jobin-Yvon Labram HR800 instrument with 514.5 nm Ar+ laser excitation. For microwave measurement, 40 wt% of the as-prepared samples (A, B and C) and paraffin were mixed in a ceramic plate and stirred fully at 60 °C to give composites A, B and C, respectively. And each composite was pressed into coaxial clapper in a dimension of outer diameter of 7.0 mm, inner diameter of 3.0 mm. The relative complex permittivity (εr = ε′r − jε′′r) and permeability (μr = μ′r − jμ′′r) of the composite were measured in frequency range of 2–18 GHz over an Agilent E8363B vector network analyzer. The reflection loss (RL) and attenuation constant (α) were calculated by the following equation: |
 | (1) |
|
 | (2) |
|
 | (3) |
where f is the frequency of EM wave, d is the thickness of absorber, c is the velocity of light and Zin is the input impedance of absorber.
3. Results and discussion
3.1 XRD patterns of as-synthesized catalyst and sample
For the catalytic growth of CNMs, the catalyst precursor was reduced in hydrogen to produce the corresponding catalyst (no. 1, 2 and 3). Fig. 1 gives the XRD patterns of the as-synthesized no. 1 catalyst precursor and the corresponding catalyst. The XRD pattern of the as-prepared catalyst precursor (as shown in Fig. 1a) shows that all the peaks can be indexed to Fe2O3, which is very close to the literature value (JCPDS no. 85-0550). No other peaks of impurity can be detected. The XRD pattern of the obtained catalyst (no. 1) is shown in Fig. 1b. One can see that all the strong and sharp peaks can be readily assigned to the cubic structure of Fe (JCPDS no. 85-1410). Importantly, no impurity phases corresponding to ferric oxide such as Fe2O3 or Fe3O4 were observed, which should be related to the good protection of SnO2 as the shell. The XRD result indicates that the as-synthesized catalyst is single phase Fe/SnO2, which is consistent with that reported before.21 As shown in Table 1, one can find that large quantities of samples can be obtained over the Fe/SnO2 catalysts and the SnO2 content has a greatly impact on the yield of the obtained sample. Similar results were reported before.23–25 It is worth mentioning that the ultrahigh yield (209 and 309) of the desired product is a determining factor for its wide utilization. Compared to the ultrahigh yield of CNMs reported elsewhere,26 the CNM yield obtained here is high. And the ultrahigh yield of carbon species (309) was not reported before. In order to confirm the high yield of the obtained sample, four separate experiments were repeated. As shown in Fig. 2, the proposed route shows a good reproducibility and is effective for the mass production of CNMs.
 |
| Fig. 1 XRD patterns of the as-synthesized no. 1: (a) catalyst precursor, and (b) catalyst. | |
Table 1 The dependence of SnO2 content in catalyst on the yield of the obtained sample
Sample |
Catalyst |
Weight (g) |
Yield 
|
A |
No. 1 |
6.260 |
209 |
B |
No. 2 |
9.284 |
309 |
C |
No. 3 |
2.186 |
73 |
 |
| Fig. 2 The statistical yields of the obtained samples in four separate runs. | |
3.2 Microstructures, EM and microwave-absorbing properties of samples A, B and C
Fig. 3 gives the FE-SEM images and Raman spectrum of the obtained sample A. As shown in Fig. 3a and b, the different magnifications of FE-SEM images reveal that the obtained sample A is chain-like spheroidal carbon particles, and the content (determined statistically by the FE-SEM observation) of such structure is up to 98%. It is apparent that these chain-like spheres have very uniform size and their average diameter is ca. 500 nm. According to the classification given by Serp et al.,27 the obtained carbon material in the case is called chain-like CNSs. Compared to those reported elsewhere,10,15–17 the route is simple and environment-friendly, and high purity uniform CNSs can be produced in ultrahigh yield here. Fig. 3c presents the Raman spectrum of sample A. Two main broad peaks at ∼1334 cm−1 named as D band for disordered graphite and ∼1600 cm−1 called as G band for graphite carbon can be observed clearly.28,29 The intensity ratio of G and D bands (IG/ID) is often used to identify the crystallinity of graphite. In the study, an IG/ID of ca. 1.21 was obtained for sample A. Compared to those of CNMs reported before,30,31 the IG/ID value of CNSs here is large, which implying high crystallinity of the obtained chain-like CNSs.
 |
| Fig. 3 (a and b) Low and high magnification FE-SEM images, and (c) Raman spectrum of sample A. | |
Fig. 4 shows the variations of complex permittivity and permeability, loss tangent of composite A with frequency. As illustrated in Fig. 4a, with fluctuations during the low frequency range, the real (ε′) and imaginary (ε′′) part of relative complex permittivity almost remains constant, indicating that they have stable dielectric loss property. Fig. 4b shows the real (μ′) and imaginary (μ′′) part of complex permeability as a function of frequency. One can see that the former is close to 1.17 while the latter to 0.05. It is worthy noted that the negative value of μ′′ can be observed in the measured data (as shown in Fig. 4b). There are three typical explanations about it worth noting: (i) the phenomenon can be explained by the magnetic energy being radiated out; (ii) it is meaningless and might be due to noise; (iii) the negative value is ascribed to the permeability-to-permittivity transform of EM wave in nanocomposites.32–37 Based on the data in Fig. 4a and b, the dielectric tangent (tan
δE = ε′′/ε′) and magnetic tangent loss (tan
δm = μ′′/μ′) are shown in Fig. 4c. The tan
δE values are much larger than those of tan
δm in the whole frequency range, indicating that the dielectric loss plays the main role in the EM absorption. Besides, one can observe clearly that the dielectric and magnetic loss have good complementarities, which is conducive to have a strong EM attenuation.
 |
| Fig. 4 (a) Complex permittivity, (b) complex permeability, and (c) loss tangent as a function of frequency for composite A. | |
According to eqn (1) and (2), the RL value of the obtained composite was calculated, and the results are shown in Fig. 5. As shown in Fig. 5a, one can see that the RL value reaches maximum (−12.8 dB) at 8.4 GHz with a matching thickness (dm) of 2.0 mm, and RL value below −10 dB (90% of EM wave attenuation) can be obtained in the 6.9–18 GHz frequency range with the sample thickness varied from 0.8 to 2.5 mm (as shown in Fig. 5b). Compared to those of carbonyl iron-doped Ag/mesoporous carbon nanocomposites, carbon coil-carbon fiber hybrid materials and multiwalled CNTs/ZnO,38–40 the obtained CNS sample is also apt for microwave absorption.
 |
| Fig. 5 (a) RL versus frequency, and (b) colour map of the RL values calculated from the measured EM parameters for composite A. | |
As described in Table 1, when acetylene was decomposed over the no. 2 catalyst, compared to that of sample A, one can find that the yield of carbon materials at this case enhances greatly, and the yield is up to 309. Fig. 6 depicts the FE-SEM images of the obtained sample B. As shown in Fig. 6a, one can find that the majority of sample B is uniform CNSs (average size: 400 nm) and the content of these CNSs is up to 98%. A closer FE-SEM observation (as shown in Fig. 6b) indicates that the obtained CNS connects with each other to form chain-like CNSs. Compared with that of sample A, the size of the obtained CNSs becomes small. Overall, the content of SnO2 has a greatly impact on the yield and size of the obtained sample.
 |
| Fig. 6 (a) Low, and (b) high magnification FE-SEM images of sample B. | |
Fig. 7 shows the EM spectra of composite B. As illustrated in Fig. 7a, the values of ε′ are bigger than those of ε′′. With an increasing frequency, the ε′ and ε′′of the composite exhibit a fall from 22.33 to 13.52, and 12.20 to 7.33, respectively. The μ′ and μ′′of the composite (as shown in Fig. 7b) are almost constant (μ′ ≈ 1.0, μ′′ ≈ 0) in the frequency range of 2–18 GHz, which indicates the intrinsically small magnetic loss tangent. Fig. 7c gives the tan
δE and tan
δm of the composite dependent on the frequency. It is apparent that the tan
δE values are much larger than those of tan
δm, which confirms further that the dielectric loss plays the main role in the EM absorption. Moreover, one can observe clearly that the change trend of tan
δE inverses to that of tan
δm. Such complementarities are effective for the strong EM attenuation, which implies that the obtained CNS sample has excellent EM absorption properties.
 |
| Fig. 7 (a and b) EM parameters, and (c) loss tangent as a function of frequency for the composite B. | |
Fig. 8 shows the typical relationship between RL and frequency of composite B. Fig. 8a indicates that the optimal absorption value of composite B with a thickness of 1.5 mm is −20.4 dB at 13.0 GHz, which corresponds to 99% absorption. As shown in Fig. 8b, the RL value below −5 dB (75% of EM wave attenuation) can be obtained in the whole frequency range, and RL value below −10 dB can be obtained in the 2.9–18 GHz frequency range. Compared to that of composite A, composite B exhibits an enhanced microwave absorbing properties.
 |
| Fig. 8 (a) RL value, and (b) two-dimensional representation of RL value as a function of frequency for composite B. | |
As described in experiment, average 2.186 g of carbon species could be collected over the no. 3 catalyst. Compared to those of CNMs reported elsewhere,41 the obtained yield at this case enhances greatly. Fig. 9 shows the FE-SEM images of sample C. Similar to those of samples A and B, uniform chain-like CNSs is the majority in the obtained sample, and the content of these structure is ca. 98%. The closer examination (as shown in Fig. 9b) indicates the average size of the obtained uniform CNSs is ca. 180 nm, which is smaller than those of samples A and B. It is well known that the size of the obtained CNMs depends on the dimension of the used catalyst in CCVD process.41–44 Therefore, one can find the size of the obtained CNSs decreases with the increasing content of SnO2. In general, as shown in Table 2, the SnO2 content has a great impact on the yield and size of the obtained sample.
 |
| Fig. 9 FE-SEM images of sample C: (a) low, and (b) high magnification. | |
Table 2 The dependence of SnO2 on the CNS growth
Catalyst |
Molar ratio of Sn : Fe in catalyst |
Yield |
FE-SEM studies |
Average size of sample (nm) |
No. 1 |
1/20 |
209 |
Chain-like CNSs |
500 |
No. 2 |
3/20 |
309 |
Chain-like CNSs |
400 |
No. 3 |
1/3 |
73 |
Chain-like CNSs |
180 |
The permittivity and permeability spectra, dielectric and magnetic loss, attenuation constant as a function of frequency for composite C are shown in Fig. 10. As illustrated in Fig. 10a, the value of ε′ decreases from 12.18 to 10.14, and the ε′′ almost remains constant (ε′′ ≈ 3.02) in the whole frequency. Similar to those of composites A and B, the μ′ and μ′′ of composite (as shown in Fig. 10b) are almost constant (μ′ ≈ 1.05, μ′′ ≈ 0.05) in the frequency range of 2–18 GHz, the values of tan
δE are much larger than those of tan
δm (as shown in Fig. 10c), and good complementarities can be observed between tan
δE and tan
δm. According to the eqn (3), the attenuation constant of composites can be obtained, and the result is shown in Fig. 10d. Compared to those of carbon nanocomposites reported before,45,46 the obtained Composites (A, B and C) have the higher α values, indicating the excellent attenuation or microwave absorption.
 |
| Fig. 10 Frequency dependence of (a) complex permittivity, (b) complex permeability, (c) loss tangent, and (d) attenuation constant versus frequency of composite C. | |
Fig. 11 shows the frequency dependence of RL results for composite C. The results of Fig. 11a indicates that the maximum RL value reaches −16.9 dB at 6.6 GHz with a dm = 3.5 mm. As shown in Fig. 11b, the RL value below −10 dB can be obtained in the whole frequency range with the sample thickness varied from 1.2 to 10.0 mm. Importantly, double absorption feature (RL value below −10 dB) can be observed clearly in the thickness range of 4.0–10.0 mm, which is helpful for bandwidth broadening of microwave absorption. As shown in Table 3, the composites B and C are superior to that of composite A in microwave absorption. And our studies indicate that the chain-like CNSs also may have potential applications in the field of light weight microwave absorption materials.
 |
| Fig. 11 (a) RL versus frequency of composite C, and (b) colour map of the RL values calculated from the measured EM parameters. | |
Table 3 EM wave absorption properties of the representative chain-like CNSs
Sample |
Optical RL value (dB) |
dm (mm) (RL < −10 dB) |
Frequency range (RL < −10 dB) |
Double absorption Peaks (RL < −10 dB) |
A |
−12.8 |
0.8–2.5 |
6.9–18 GHz |
No |
B |
−20.4 |
1.2–5.0 |
2.9–18 GHz |
No |
C |
−16.9 |
1.2–10.0 |
2–18 GHz |
Yes |
3.3 Effect of SnO2 and possible formation mechanism of CNSs
As discussed above, the content of SnO2 in catalyst can influence the yield and size of the obtained sample. However, as shown in Table 1, the yield of sample C is lower than those of samples A and B. As we all know that the small size can improve the catalytic ability of the catalyst effectively. Therefore, higher yield of CNSs should be obtained over the smaller size of the catalyst, which is not fully same to our obtained results. In order to understand the result, the microstructures of the as-synthesized catalysts were studied in detail. Fig. 12 shows the microstructures and sizes of the obtained catalysts. As shown in Fig. 12a, a typical TEM image of the no. 2 catalyst indicates that the obtained catalysts are core/shell structured Fe/SnO2. The dimensions of shell and core are given in Fig. 12b. One can find that the thickness of SnO2 shell increases and the size of Fe core decreases with the enhancement of tin content. As reported by Liu et al. on FeNi3/Al2O3 core/shell nanocomposites,22 the core particles with thicker shell are obviously smaller in size than those with thinner shell, which can also be confirmed further by our work. Although the small size of the catalyst is beneficial to obtain high yield of CNCs, the thick SnO2 shell weaken the catalytic ability of Fe particles to catalytically grow CNMs. Therefore, the competition between the core and shell substances leads that the highest CNS yield can be obtained over the no. 2 catalyst in this work.
 |
| Fig. 12 (a) A typical TEM image of the no. 2 catalyst, and (b) average grain size of core and shell as a function of Sn molar concentration. | |
In order to understand the possible formation mechanism of CNSs and the effect of SnO2 further, A series of comparison experiments were designed and conducted: (i) the decomposition of acetylene was conducted at 700 °C without using any catalyst; (ii) the decomposition of acetylene was conducted at 700 °C over Fe nanoparticles generated by a combined sol–gel and reduction method; (iii) the decomposition of acetylene was conducted at 500 °C over the as-synthesized no. 1 catalyst. Fig. 13 gives the FE-SEM images of the obtained samples. As shown in Fig. 13a and b, the TEM and FE-SEM investigations indicate that the obtained samples at the cases (i) and (ii) are the mainly CNTs, CNTs and helical CNTs, respectively. And CNFs and helical CNFs are the majority in the obtained sample at the case (iii). One cannot find the presence of CNSs in the obtained samples at these cases, which indicates that the introduction of Sn into the catalyst and high decomposition temperature has a great impact on the formation of CNSs. Although the exact formation mechanism is still unclear, based on the obtained experimental results and models reported before,47–49 the theoretical model proposed by Gamaly and Ebbesen can explain the growth of CNSs under the adopted conditions effectively.49 According to this model, the distribution velocity of carbon atoms on the surface of catalysts has a great impact on the growth of CNMs. And the mobility of surface carbon atoms is governed by the nature of catalyst, temperature, etc. The carbon atoms with the different distribution velocities can assemble into hexagonal, pentagonal and heptagonal rings. In the past years, as we all know that many theoretical studies revealed that pentagonal and heptagonal carbon rings were crucial for the formation of HCNMs and CNSs,50–52 and so many experimental results indicated that the addition of Sn into the Fe-group catalysts could improve the selectivity of HCNMs greatly.53–55 Combined the reported theoretical and experimental results, one can find that the addition of Sn into the Fe-group catalysts is effective for carbon atoms to assemble into pentagonal and/or heptagonal rings, which can also be confirmed by our experimental results. Therefore, in our experiments, subject to the influence of the Fe/SnO2 catalyst and high temperature, the carbon atoms generated on the catalyst surface assemble into pentagonal and/or heptagonal rings. The introduction of pentagonal and/or heptagonal carbon rings change in the curvature of graphitic flake, which induces the formation of CNSs.4,50 However, because of the complexity of the synthesis processes, the exact growth mechanism of CNMs is still hot and controversial topic, and further research is needed to explain of the CNS growth mechanism.
 |
| Fig. 13 FE-SEM images of the samples obtained: (a) without using any catalyst at 700 °C, (b) over Fe nanoparticles at 700 °C, and (c) over no. 1 catalyst at 500 °C. | |
4. Conclusions
In summary, high purity CNSs could be synthesized in ultrahigh yield over Fe/SnO2 nanoparticles. The results demonstrated that the SnO2 content in the catalyst had a great impact on the yield, dimension and microwave absorbing properties of the obtained sample. The ultrahigh yield of 309 was not reported before. Because of the better complementarities between tan
δE and tan
δm, the smaller size chain-like CNSs exhibit enhanced microwave absorption properties. A possible mechanism was provided to understand the formation of CNSs. Therefore, a simple and environment-friendly route has been proposed for the synthesis of high purity chain-like CNSs in ultrahigh yield, and the as-synthesized chain-like CNSs may have potential applications as the light weight microwave absorption materials.
Acknowledgements
This work was supported by the International Cooperation Project of Guizhou Province (2012-7002), the National Science Foundation of Guizhou province (2014–2059), the National Science Foundation of China (Grant no. 11364005 and 11174132), and the Foundation of the National Key Project for Basic Research (2012CB9323402 and 2011CB922102) for financial support.
Notes and references
- S. Iijima, Nature, 1991, 354, 56 CrossRef CAS.
- S. Yang, X. Chen and S. Motojima, Diamond Relat. Mater., 2004, 13, 2152 CrossRef CAS PubMed.
- H. W. Kroto, J. R. Heath, S. C. O'Brien, R. F. Curl and R. E. Smalley, Nature, 1985, 318, 162 CrossRef CAS.
- A. Nieto-Márquez, R. Romero, A. Romero and J. L. Valverde, J. Mater. Chem., 2011, 21, 1664 RSC.
- L. Tosheva, J. Parmentier, V. Valtchev, C. Vix-Guterl and J. Patarin, Carbon, 2005, 43, 2474 CrossRef CAS PubMed.
- Y. D. Xia and R. Mokaya, Adv. Mater., 2004, 16, 1553 CrossRef CAS.
- K. T. Lee, J. C. Lytle, N. S. Ergang, S. M. Oh and A. Stein, Adv. Funct. Mater., 2005, 15, 547 CrossRef CAS.
- K. M. Pan, H. Ming, Y. Liu and Z. H. Kang, New J. Chem., 2012, 36, 113 RSC.
- J. S. Qiu, Y. F. Li, Y. P. Wang, T. H. Wang, Z. B. Zhao, Y. Zhou, F. Li and H. M. Cheng, Carbon, 2003, 41, 2170 CrossRef CAS.
- X. Xu, Z. Q. Li, D. Zhang and Z. X. Chen, Carbon, 2011, 49, 275 CrossRef CAS PubMed.
- W. R. Li, D. H. Chen, Z. Li, Y. F. Shi, Y. Wan, G. Wang, Z. Y. Jiang and D. Y. Zhao, Carbon, 2007, 45, 1757 CrossRef CAS PubMed.
- X. S. Qi, Q. Ding, W. Zhong, C. T. Au and Y. W. Du, Carbon, 2013, 56, 383 CrossRef CAS PubMed.
- B. L. Liu, W. C. Ren, C. Liu, C. H. Sun, L. B. Gao, S. S. Li, C. B. Jiang and H. M. Cheng, ACS Nano, 2009, 3, 3421 CrossRef CAS PubMed.
- G. F. Zhong, J. H. Warner, M. Fouquet, A. W. Robertson, B. G. Chen and J. Robertson, ACS Nano, 2012, 6, 2893 CrossRef CAS PubMed.
- F. Tian and C. N. He, Mater. Chem. Phys., 2010, 123, 351 CrossRef CAS PubMed.
- Z. Mehraban, F. Farzaneh and V. Dadmehr, Mater. Lett., 2009, 63, 1653 CrossRef CAS PubMed.
- X. C. Chen, H. Wang and J. H. He, Nanotechnology, 2008, 19, 325607 CrossRef PubMed.
- Z. J. Wang, L. N. Wu, J. G. Zhou, W. Cai, B. Z. Shen and Z. H. Jiang, J. Phys. Chem. C, 2013, 117, 5446 CAS.
- N. Li, C. W. Hu and M. H. Cao, Phys. Chem. Chem. Phys., 2013, 15, 7685 RSC.
- Y. Tang, Y. Shao, K. F. Yao and Y. X. Zhong, Nanotechnology, 2014, 25, 035704 CrossRef CAS PubMed.
- X. S. Qi, Y. Deng, W. Zhong, Y. Yang, C. Qin, C. T. Au and Y. W. Du, J. Phys. Chem. C, 2010, 114, 808 CAS.
- W. Liu, W. Zhong, H. Y. Jiang, N. J. Tang, X. L. Wu and Y. W. Du, Eur. Phys. J. B, 2005, 46, 471 CrossRef CAS.
- H. Kaori and Y. Nakayama, Carbon, 2013, 56, 264 CrossRef PubMed.
- D. W. Li and L. J. Pan, J. Mater. Res., 2012, 27, 431 CrossRef CAS.
- N. Okazaki, S. Hosokawa, T. Goto and Y. Nakayama, J. Phys. Chem. C, 2010, 114, 808 Search PubMed.
- N. J. Tang, Y. Yang, K. J. Lin, W. Zhong, C. T. Au and Y. W. Du, J. Phys. Chem. C, 2008, 112, 10061 CAS.
- P. Serp, R. Feuer, P. Kalck, Y. Kihn, J. L. Faria and J. L. Figueiredo, Carbon, 2001, 39, 621 CrossRef CAS.
- U. Ritter, P. Scharff, C. Siegmund, O. P. Dmytrenko, N. P. Kulish, Y. I. Prylutskyy, N. M. Belyi, V. A. Gubanov, L. I. Komarova, S. V. Lizunova, V. G. Poroshin, V. V. Shlapatskaya and H. Bernas, Carbon, 2006, 44, 2694 CrossRef CAS PubMed.
- U. Ritter, P. Scharff, O. P. Dmytrenko, N. P. Kulish, Y. I. Prylutskyy, N. M. Belyi, V. A. Gubanov, L. A. Komarova, S. V. Lizunova and V. V. Shlapatskaya, Chem. Phys. Lett., 2007, 447, 252 CrossRef CAS PubMed.
- I. Abdull, N. Sakulchaicharoen and J. E. Herrera, Diamond Relat. Mater., 2012, 21, 76 CrossRef PubMed.
- D. W. Li, L. J. Pan, Y. K. Wu and W. Peng, Carbon, 2013, 50, 2571 CrossRef PubMed.
- X. G. Liu, B. Li, D. Y. Gen, W. B. Cui, F. Yang and Z. G. Xie, Carbon, 2009, 47, 470 CrossRef CAS PubMed.
- L. J. Deng and M. G. Han, Appl. Phys. Lett., 2007, 91, 023119 CrossRef PubMed.
- S. C. Chiu, H. C. Yu and Y. Y. Li, J. Phys. Chem. C, 2010, 114, 1947 CAS.
- C. Wang, X. J. Han, P. Xu, X. L. Zhang, Y. C. Du and S. R. Hu, Appl. Phys. Lett., 2012, 100, 046102 CrossRef PubMed.
- X. F. Zhang, P. F. Guan and X. L. Dong, Appl. Phys. Lett., 2010, 97, 033107 CrossRef PubMed.
- Y. P. Sun, X. G. Liu, C. G. Jin, A. L. Xia, S. S. Zhao, W. H. Li, C. Feng, F. Xiao and Y. X. Wu, RSC Adv., 2013, 3, 18082 RSC.
- H. J. Wu, L. D. Wang, Y. M. Wang, S. L. Guo and Z. Y. Shen, Mater. Sci. Eng., B, 2012, 177, 476 CrossRef CAS PubMed.
- L. Liu, K. C. Zhou, P. G. He and T. F. Chen, Mater. Lett., 2013, 110, 76 CrossRef CAS PubMed.
- W. L. Song, M. S. Cao, B. Wen, Z. L. Hou, J. Cheng and J. Yuan, Mater. Res. Bull., 2012, 47, 1747 CrossRef CAS PubMed.
- N. J. Tang, J. F. Wen, Y. Zhang, F. X. Liu, K. J. Lin and Y. W. Du, ACS Nano, 2010, 4, 241 CrossRef CAS PubMed.
- B. L. Liu, W. Ren, L. B. Gao, S. S. Li, S. F. Pei, C. Liu, C. B. Jiang and H. M. Cheng, J. Am. Chem. Soc., 2009, 131, 2082 CrossRef CAS PubMed.
- S. M. Huang, Q. Cai, J. Y. Chen, Y. Qian and L. J. Zhang, J. Am. Chem. Soc., 2009, 131, 2094 CrossRef CAS PubMed.
- A. Hirsch, Angew. Chem., Int. Ed., 2009, 48, 5403 CrossRef CAS PubMed.
- F. S. Wen, F. Zhang and Z. Y. Liu, J. Phys. Chem. C, 2011, 115, 14025 CAS.
- B. Lu, H. Huang, X. L. Dong, X. F. Zhang, J. P. Lei, J. P. Sun and C. Dong, J. Appl. Phys., 2008, 104, 114313 CrossRef PubMed.
- S. Amelickx, X. B. Zhang, D. Bernaerts, X. F. Zhang, V. Ivanov and J. B. Nagy, Science, 1995, 267, 635 Search PubMed.
- S. Fan, M. G. Chapline, N. R. Franklin, T. W. Tombler, A. M. Cassell and H. Dai, Science, 1999, 283, 512 CrossRef CAS.
- E. G. Gamaly and T. W. Ebbesen, Phys. Rev., 1995, 52, 2083 CAS.
- Z. C. Kang and Z. L. Wang, J. Phys. Chem., 1996, 100, 5163 CrossRef CAS.
- S. Itoh, S. Ihara and J. Kitakami, Phys. Rev. B: Condens. Matter Mater. Phys., 1993, 47, 1703 CrossRef CAS.
- H. Q. Hou, Z. Jun, F. Weller and A. Greiner, Chem. Mater., 2003, 15, 3170 CrossRef CAS.
- W. Wang, K. Q. Yang, J. Gaillard, P. R. Bandaru and A. M. Rao, Adv. Mater., 2008, 20, 179 CrossRef CAS.
- D. W. Li, L. J. Pan, Y. K. Wu and W. Peng, Carbon, 2012, 50, 2571 CrossRef CAS PubMed.
- K. Hirahara and Y. Nakayama, Carbon, 2013, 56, 264 CrossRef CAS PubMed.
|
This journal is © The Royal Society of Chemistry 2015 |
Click here to see how this site uses Cookies. View our privacy policy here.