DOI:
10.1039/C5NR07983G
(Paper)
Nanoscale, 2016,
8, 6783-6791
Fabrication and morphology tuning of graphene oxide nanoscrolls†
Received
12th November 2015
, Accepted 22nd February 2016
First published on 23rd February 2016
Abstract
Here we report the synthesis of graphene oxide nanoscrolls (GONS) with tunable dimensions via low and high frequency ultrasound solution processing techniques. GONS can be visualized as a graphene oxide (GO) sheet rolled into a spiral-wound structure and represent an alternative to traditional carbon nano-morphologies. The scrolling process is initiated by the ultrasound treatment which provides the scrolling activation energy for the formation of GONS. The GO and GONS dimensions are observed to be a function of ultrasound frequency, power density, and irradiation time. Ultrasonication increases GO and GONS C–C bonding likely due to in situ thermal reduction at the cavitating bubble–water interface. The GO area and GONS length are governed by two mechanisms; rapid oxygen defect site cleavage and slow cavitation mediated scission. Structural characterization indicates that GONS with tube and cone geometries can be formed with both narrow and wide dimensions in an industrial-scale time window. This work paves the way for GONS implementation for a variety of applications such as adsorptive and capacitive processes.
Introduction
The thermomechanical and electrical properties of low dimensional carbon nanomaterials makes them candidates for the next-generation of conductive light-weight high-strength architectures.1–4 However, the cost and difficulty associated with scalable synthesis of macroscopic architectures from low dimensional carbon materials3,4 leaves room for improvement.
Recent work on graphene oxide (GO) indicates there is potential for nano-manufacturing via cost-effective solution techniques4–8 that retain GO properties9–11 such as thermal conductivity,12 mechanical stiffness,13 elasticity,14 and optical transparency.15 Moreover, the GO oxygen functional groups act as both a spacer,9,16–19 and a functionalized site for molecular adsorption,20,21 which enables GO conversion into nano-morphologies that could be used for applications such as filtration membranes,17 supercapacitors,22 electrochemical sensors,23 and hydrogen storage devices.24 One potential nano-morphology is a GO nano-scroll (GONS) i.e., a GO sheet rolled into a spiral-wound structure (Fig. 1a). GONS are similar in morphology to a carbon nanotube (CNT), but with a significantly more accessible inter-wall area.
![image file: c5nr07983g-f1.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-f1.gif) |
| Fig. 1 Structure and fabrication methods of GO and GONS. (a) Illustration of the GO flake chemistry showing the arrangement of the oxygen functional groups, and the cross-sectional morphology of GONS. (b) Summary of the GONS fabrication process starting from graphite flakes and demonstrating the difference between the low frequency (LF) and high frequency (HF) processing. | |
Previous work on the formation of spiral-wound graphene-based structures has focused on graphene nanoscrolls (GNS). Studies have demonstrated that there is an energy barrier (100s to 1000s J mol−1) to initiate GNS formation after which the scrolling process self-propagates due to π–π interactions forming a nanoscroll with an internal diameter of ∼2 nm.25–28 The two primary methods to overcome the scrolling energy barrier are: (i) template initiators such as carbon nanotubes,22,28–32 nanodroplets,27,32 and nanoparticles;33–36 and (ii) external stimuli such as ultrasonication,32,33,37,38 microwave sparks,39 mechanical manipulation,26,40–42 thermal processing,31,35,36 electric fields,43 and solvents.44,45 GNS have diameters of ≈20–600 nm,28,33,35,38–40,44 lengths of ≈0.7–10 μm,28,33,39,40,44 and the dimensions are a function of experimental processing conditions and graphene flake surface chemistry.
In contrast to GNS, studies on GONS have been relatively limited. For example, previously synthesized GONS cannot be characterized by metrics such as dimension since the structures are typically composed of crumpled and/or folded GO42,46 instead of a properly scrolled morphology. GONS have been synthesized by mechanical manipulation42,46 and/or chemical initiators.47,48 In contrast, GONS formation via ultrasonic irradiation has not been investigated in depth. Ultrasonic pressure waves result in transient bubble cavitation, i.e., the sequential nucleation, growth, and collapse of microscopic bubbles.49 The ultrasonic energy imparted to the bubbles and in turn the GO flakes provides the scrolling activation energy to form GONS. However, such extreme energy release (bubble vapor T ∼ 4000 K; bubble interface T ∼ 800 K) will also chemically modify and cleave the GO flakes impacting the surface chemistry and morphology of the resulting GO nano-structures.50
Here, we complete a systematic study on the effect of ultrasonic frequency, power density, and irradiation time on GONS production, morphology, dimensions and surface chemistry. GO was synthesized via the oxidation of graphite flakes following a modified Hummers’ method.51,52 The GO was subjected to two frequencies of ultrasonic irradiation; 20 kHz low frequency (LF) irradiation generated by a commercial tip-sonicator and 390 kHz high frequency (HF) irradiation generated by a homemade reactor, at both low and high power densities (Fig. 1b). The time-dependent structure and morphology of the GO and GONS was analyzed by scanning (SEM) and transmission (TEM) electron microscopy, and the GO and GONS surface chemistry and interlayer interactions were analyzed by Raman spectroscopy and X-Ray photoelectron spectroscopy (XPS).
Results and discussion
Morphology and surface chemistry of graphene oxide flakes
An SEM image of GO flakes prior to ultrasound exposure is displayed in Fig. 2a. The GO flakes have an area of 52.8 ± 3.9 μm2. The AFM thickness of the GO flakes (Fig. 2b) is ≈1.5 nm in accordance with previous studies.53,54 XPS was completed on drop-cast GO flakes (Fig. 2c) and the C/O ratio was 1.42. Deconvolution of the C1s spectrum results in three peaks corresponding to: (i) 30% single (C–C) and double (C
C) carbon bonds; (ii) 65% epoxide (C–O–C) and hydroxide (C–OH) functional groups; and (iii) 5% carboxylate (O
C–OH) functional groups.
![image file: c5nr07983g-f2.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-f2.gif) |
| Fig. 2 Morphology and surface chemistry of GO flakes. (a) SEM image of GO on Si wafer. (b) AFM image and line scan of the GO flakes. (c) XPS of GO flakes. | |
Morphology and surface chemistry of graphene oxide nanoscrolls
GONS produced by HF ultrasonic irradiation exhibit concentric geometries with a distinguishable number of outer-walls as displayed in Fig. 3ae.g., six walls for the top-left GONS. This indicates that the GONS produced here are of high quality, similar to a recent report,55 as they are not assemblies of crumpled and/or folded GO layers. The resulting GONS were characterized by two distinct geometries: a constant outer diameter tube-like GONS (T-GONS); and a variable outer diameter cone-like GONS (C-GONS). The formation of T-GONS is a result of a constant scrolling speed and/or direction whereas surface inhomogeneities/defects may cause a variable speed/direction resulting in C-GONS formation.56 SEM images illustrating the scrolling process that leads to the formation of both T-GONS and C-GONS structures (Fig. S1 and S2†) and TEM images that illustrate the hollow nature of the produced GONS (Fig. S3†) can be found in Sec. S2 of the ESI.†
![image file: c5nr07983g-f3.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-f3.gif) |
| Fig. 3 Morphology and defect density of GONS. (a) SEM displaying narrow and wide cone-like (C-GONS) and tube-like (T-GONS) that are characterized by their diameters (dtube) and (dcone). (b) Raman spectra of the D- and G-bands for GO and GONS. (c) SEM and spatial integration of G-band intensity of a partially-scrolled GO where scrolled regions are of greater intensity than the flat regions. | |
Narrow and wide T- and C-GONS structures are observed and characteristic diameters were quantified by SEM image analysis (Fig. 3a). Narrow T-GONS structures are characterized by dtube = 225 ± 85 nm, while narrow C-GONS structures exhibit a minimum diameter dcone,min = 193 ± 1 nm and maximum diameter of dcone,min = 1.65 ± 0.39 μm. Wide GONS structures have dtube = 1.80 ± 0.27 μm for T-GONS and dcone,min = 0.95 ± 0.32 μm and dcone,max = 1.84 ± 0.33 μm for C-GONS. Note for narrow GONS dtube ∼ dcone,min, and for wide GONS dtube ∼ dcone,max. Size distribution histograms are displayed in Fig. S4 of the ESI.† The observed GONS diameters are related to the area of the parent GO flake and the inter-layer separation of the GONS walls. The GONS have an observed inter-layer separation on the order of 10–100 nm,46 as can be seen in Fig. 3a, which is much larger than the inter-layer separation of GNS and CNT (∼0.34 nm).22 Thus, the GONS inter-wall regions will be more accessible to atoms and molecules than GNS/CNT, providing utility for applications requiring readily accessible surface areas such as adsorptive and capacitive processes.
Another important factor that may contribute to variations in dmin is related to the extent of GO flake oxidation and surface chemistry, which in turn will affect the elastic modulus of GO11 and weaken inter-layer π–π interactions.56 The GO and GONS structures were characterized via Raman spectroscopy and both display a D-band (A1g symmetry) at ∼1350 cm−1 representative of defects/disorder in the basal plane and a G-band (E2g symmetry) at ∼1590 cm−1 that corresponds to the in-plane sp2 bond stretching.57–60 The G-band full width half maximum (FWHM) of the GONS is larger than the FWHM of the G-band of pristine graphene and bulk graphite,60,61i.e. ≈20 cm−1,62 as displayed in Fig. 3b. To quantitatively analyze the relative defect density of the GO and GONS, the Raman spectra were fit
using single Lorentzian (D-band) and Breit–Wigner–Fano (G-band) distributions as displayed in Fig. 3b.63,64 The D- and G-band fits indicate that the FWHM of the D-band remains constant at 119 ± 6 cm−1 after GONS formation, whereas the FWHM of the G-band increases from 64 ± 3 to 78 ± 4 cm−1. The broader GONS G-band is due to scrolling effects on the basal plane breathing mode45 since the formation of a multi-layer morphology will increase elastic strain38,41e.g., GONS or overlapped GO layers as displayed in Fig. S5.† The D/G intensity ratio (ID/IG) was 1.1 for both GO and GONS,41 and the D/G area ratio (AD/AG) decreased from ≈1.4 for GO to ≈1.2 for GONS suggesting that GONS formation is facilitated by GO with fewer oxygen functional groups, and more π–π interactions.56 The fitted G band peak position for the GONS is red-shifted by ≈10 cm−1 as compared to the original GO flakes, which is indicative of reduced disorder in nanocrystalline graphitic materials,57 in agreement with the decrease in AD/AG from GO to GONS. The ≈15 cm−1 increase of the GONS G-band FWHM can be utilized to distinguish the GO and GONS using a spatially-dependent integration (50 nm resolution) of the G-band intensity (Fig. 3c-right) where the GONS are of higher integrated intensity (compare to SEM; Fig. 3c left) that originates from the broader G-band of GONS caused by the phenomena explained above.
Effect of ultrasonic frequency on GO and GONS dimensions
The effect of ultrasound frequency (20 kHz LF vs. 390 kHz HF) on the GO flake area (AGO) and GONS length (LGONS) as a function of the ultrasonic irradiation time (t) was evaluated as displayed in Fig. 4. Calorimetry indicates that ∼103–104 J mol−1 is introduced to the GO solutions during the 1 h ultrasonic treatments (see Methods section for calorimetry calculation), which is similar to the previously reported theoretical energy barrier for scrolling graphene.25,27 Since we can observe GONS formation at treatment times as short as 5 min where only 102 J mol−1 is introduced, calorimetry suggests that the GONS scrolling process may occur at local ‘hot spots’ generated by bubble cavitation.65,66 Calorimetry also indicates that both LF and HF ultrasonic irradiation transfer ∼10 W to the GO solution, thus observed differences in AGO and LGONS can be attributed to the difference in ultrasonic frequency.
![image file: c5nr07983g-f4.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-f4.gif) |
| Fig. 4 Effect of ultrasonic frequency and irradiation time on GO and GONS dimensions. (a) Plot of the GO area (AGO) for the low frequency (LF) and high frequency (HF) treatment at 10 W of calorimetric power as a function of the irradiation time t. (b) Plot of the GONS length (LGONS) as a function of t for the two conditions. The fitting lines are based on eqn (1) and (2). | |
For both ultrasonic frequencies, AGO decreases over the 60 min irradiation time with the majority of the decrease occurring over the first 10–20 min of irradiation from AGO (t = 0) = 53 ± 4 μm2 to AHFGO (t = 60) = 30 ± 2 μm2 and to ALFGO (t = 60) = 7 ± 0.7 μm2. A similar decrease is observed for LGONS as presented in Fig. 4b, where the majority of the length decrease occurs over the first 20–30 min from LHFGONS (t = 5) = 11 ± 1 μm to LHFGONS (t = 60) = 7 ± 0.6 μm and from LLFGONS (t = 5) = 7 ± 0.6 μm to LHFGONS (t = 60) = 3 ± 0.2 μm. For both cases, AGO and LGONS are relatively constant after the first 30 minutes of irradiation, a favorable time-window for industrial-scale processing. Note that LGONS achieves a minimum after AGO achieves a minimum and the final AGO is roughly the same as the final L2GONS suggesting that the energy to scroll GO is less than the energy to cleave. Additional details pertaining to the GO and GONS dimensions can be found in Sec. S3 in the ESI.† The AGO and LGONS results indicate that the LF ultrasonic irradiation is harsher than the HF treatment as expected. The cavitation energy released during transient adiabatic bubble collapse is proportional to R3max where Rmax is the maximum bubble radius (PdV energy release)67 and the 20 kHz LF treatment generates bubbles that are more than an order of magnitude larger than the bubbles formed by the 390 kHz HF treatment,68,69i.e. Rmax ∝ 1/f where f is the ultrasonic frequency, resulting in significantly stronger LF individual bubble cavitation phenomena.
Effect of ultrasonic power density on GO and GONS dimensions
The effect of ultrasound calorimetric power density (HF 1, 10, & 20 W; LF 10 & 100 W) on the time-dependent AGO and LGONS is displayed in Fig. 5. If the HF ultrasonic power is decreased to 1 W, then there is no significant change in AGO with t, whereas increasing the HF ultrasonic power to 20 W (2-fold) decreases AGO as compared to 10 W by 2-fold (AHF(20 W)GO (t = 60) = 15 ± 1 μm2). If the LF ultrasonic power is increased from 10 to 100 W, then the AGO was decreased 3-fold (ALF(100 W)GO (t = 60) = 2 ± 0.2 μm2). Similar trends were observed for LGONS with regards to power and frequency as displayed in Fig. 5b. For example, decreasing HF power to 1 W resulted in a negligible decrease of LGONS with time suggesting there is not enough acoustic power for high-energy transient bubble cavitation and that stable cavitation is enough to scroll GO. Increasing the HF ultrasonic power from 10 to 20 W results in negligible change in LHF(20 W)GONS (t), in contrast to the 2-fold reduction in AGO (t), again indicating the GONS are more difficult to cleave than GO. However, increasing the LF power to 100 W resulted in a 3-fold decrease, in LGONS (LLF(100 W)GONS (t = 60) = 1 ± 0.1 μm), similar to the decrease in AGO.
![image file: c5nr07983g-f5.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-f5.gif) |
| Fig. 5 Effect of ultrasonic power and frequency on GO area (a) and GONS length (b) as a function of time (t). ●, , and refer to 1 W (HF), 10 W (HF) and 100 W (LF) irradiation power, respectively. Shaded grey trends represent experimental data from Fig. 4. The fitting lines are based on eqn (1) and (2). | |
Here, the kinetics of AGO and LGONS dimension decrease are quantitatively examined to gain insight into the physical mechanisms that mediate ultrasonic cleavage. The two predominant mechanisms are: (I) GO flake and GONS cleavage at defect (oxygen) sites (EA = 50–60 mJ mol−1)70–72 that was previously modeled with exponential kinetics73,74 and (II) cavitation mediated scission that was previously modeled using power kinetics.75,76 Mechanisms I and II can be modeled by eqn (1) and (2), respectively:
| ![image file: c5nr07983g-t2.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-t2.gif) | (1) |
| ![image file: c5nr07983g-t3.tif](/image/article/2016/NR/c5nr07983g/c5nr07983g-t3.gif) | (2) |
where
A1 and
A2 are constants related to the area of the GO flakes,
L1 and
L2 are constants related to the GONS length,
kGO and
kGONS are kinetic rate constants for mechanism I, and
s1 and
s2 are power exponents for mechanism II. Note the two mechanisms are operating simultaneously; however, mechanism I is just much faster than the mechanism II. Once all of the defect sites are cleaved, the cavitation-based cleavage dominates the kinetics. The competing GO/GONS cleavage mechanism is modeled using a critical irradiation time (
tcrit), which represents the transition time point from defect-based cleavage Mode I (
t ≤
tcrit) to the cavitation-based mechanical cleavage Mode II (
t ≥
tcrit). Due to the high temperature of the surface of the bubbles (
e.g. 600–800 °C),
in situ thermal reduction also occurs concurrently with the cleavage governed by Mode I and II. For example, after 5 min of ultrasonic irradiation (LF and HF) the C–C/C
![[double bond, length as m-dash]](https://www.rsc.org/images/entities/char_e001.gif)
C peaks increased (30 to 60–65%), the C–O peak decreased (45 to 20–25%) and the O
![[double bond, length as m-dash]](https://www.rsc.org/images/entities/char_e001.gif)
C–O peak slightly increased (5 to 15%) in the C1s spectrum (Fig. S6
†).
Since the HF process generates smaller less-energetic and more spherical bubbles than the LF process,68,69 mechanical scission likely does not occur to a significant extent e.g., s1 and s2 for HF are negligible. The LF produces larger bubbles that undergo more energetic and non-spherical collapse during sonication leading to the formation of microjets77,78 that are known to cause scission of graphene and CNT.75,79–81 The LF exponents s1 and s2 range from 0.21 ≤ s1 ≤ 0.31 and 0.38 ≤ s2 ≤ 0.42 (see Table 1). These values are in good agreement with the previously reported exponents of ∼0.21–0.25 for scission of micrometer-long CNT (s1 scission of GO flakes),80,81 and exponents of ∼0.41–0.5 for scission of short CNT (s2 scission of GONS).79,81L1, L2, kGONS, and s2 for HF(10 W) and HF(20 W) are nearly identical demonstrating that the HF treatment is not effective at producing short GONS, which may be desired during processing. These kinetic coefficients are valid irrespective of the solution volume used during the ultrasonic treatment, and are in good agreement with a LF (10 W) treatment done using a smaller GO solution volume (see Fig. S8 in the ESI†). Further work is required to elucidate the fundamental mechanism of Mode I and how tcrit can be controlled.
Table 1 Kinetic parameters for time-dependent GO and dimensional decrease. The critical time (tcrit) is approximated via the intersection of the exponential scaling and power scaling. See eqn (1) and (2) for the functional forms
Process |
Power |
A
1
|
k
GO
|
A
2
|
s
1
|
t
crit
|
L
1
|
k
GONS
|
L
2
|
s
2
|
t
crit
|
[W] |
[μm2] |
[min−1] |
[μm2] |
[] |
[min] |
[μ m] |
[min−1] |
[μm] |
[] |
[min] |
HF(1 W) |
1.2 ± 0.3 |
52.8 |
0 |
52.8 |
0 |
>60 |
9.43 |
0 |
9.43 |
0 |
>60 |
HF(10 W) |
10.2 ± 2.3 |
52.8 |
0.028 |
29.6 |
0 |
20.7 |
12.6 |
0.031 |
6.56 |
0 |
21.1 |
HF(20 W) |
19.7 ± 3.9 |
52.8 |
0.066 |
14.7 |
0 |
19.4 |
12.3 |
0.031 |
7.22 |
0 |
17.2 |
LF(10 W) |
10.2 ± 2.3 |
52.8 |
0.199 |
17.3 |
0.213 |
7.8 |
8.13 |
0.035 |
13.5 |
0.375 |
8.7 |
LF(100 W) |
99.9 ± 13.2 |
52.8 |
0.533 |
6.42 |
0.309 |
4.9 |
— |
— |
5.13 |
0.421 |
≤5 |
Conclusion
The synthesis of graphene oxide nanoscrolls with tunable dimensions was achieved via 20 kHz low frequency and 390 kHz high frequency ultrasonic solution processing techniques. Simultaneous fine-tuning of GO and GONS dimensions and surface chemistry was achieved in an industrial-scale time window. Electron microscopy indicates that the produced GONS exhibit well-defined tube or cone geometries with a finite number of walls. Raman spectroscopy indicates that defect concentration, decreases from the parent GO (AD/AG ∼ 1.4) to the resulting GONS (AD/AG ∼ 1.2) suggesting GO with lower defects have a lower scrolling activation energy. Two mechanisms are responsible for the ultrasonic reduction of the GO area and GONS length as a function of the irradiation time: cleavage at defect (oxygen) sites at short t (exponential kinetics) and cavitation microjet mediated scission at long t (power kinetics). XPS indicates that both LF and HF ultrasonication decreases GO C–O bonds and increases C–C bonds by at least 2-fold, likely due to in situ thermal reduction at the cavitating bubble–water interface. Further work via experiments, theory, and simulation is required to model the underlying physics that govern these two mechanisms, and the effect of parent GO dimensions and surface chemistry. An understanding of the underlying ultrasonic mechanisms that determine the characteristics of the produced GO and GONS will allow tunable modification of the diameter and surface chemistry for a range of applications.
Methods
Graphene oxide synthesis
The GO solution was prepared using a modified Hummers’ method51 with additional pre-processing of the graphite powder.82 Additional details can be found in Sec. S1 in the ESI.†
Graphene oxide treatment
For the LF treatment, 8 mL of GO solution was dispersed in 392 mL of EtOH (final GO concentration 0.002 wt%) in a 600 mL glass beaker, and was subjected to 20 kHz LF tip-sonication treatment (Sonifier S-450D; from Branson Ultrasonics Corp. with high gain horn) at 10% and 90% of the maximum amplitude (130 μm for the used tip geometry), which results in a calorimetric power density (see below) of ≈10 W (9.7 ± 1.3 W) at 10% and 100 W (99.9 ± 13.2 W) at 90% respectively. To explore the impact of the GO solution volume on the observed GO and GONS morphologies, the LF treatment was also carried out at a reduced volume of 2 mL of GO solution dispersed in 98 mL of EtOH (in a 150 mL glass beaker) at 10% of the maximum amplitude (≈10 W of power according to calorimetry). For the HF treatment, 25 mL of GO solution was dispersed in 1.175 L of EtOH (final GO concentration 0.002 wt%) and processed via 390 kHz HF treatment in a reactor comprised of a 1.5 L jacketed glass reactor (Chemglass, Inc.) and a cylindrical PbZrxTi1−xO3 (PZT) piezoelectric crystal (5 cm diameter, 0.35 cm thickness, PZT-840, APC International, Ltd). The piezo was attached to a steel plate (12.7 cm diameter, 0.05 cm thick) using a conducting silver epoxy (CHO-bond 584, Parker Chomerics) with electrical leads connected using a non-lead solder. The electrical signal used to drive the PZT crystal is produced by an arbitrary waveform generator (Agilent; 33522A) and was amplified by a linear RF power amplifier (ENI; 2100L; 100 W max; 10 kHz–12 MHz). Since there are no commercially available setups capable of ultrasonic treatment at frequencies ≥100 kHz, the HF setup used here was custom built for this experiment. On the other hand, there are large-scale commercial systems on the market that capable of ultrasonic treatment at 20–40 kHz, e.g. from Industrial Sonomechanics, LLC, and Branson Ultrasonics Co.
The HF power was controlled by setting the arbitrary waveform generator peak-to-peak voltage amplitude, where 0.8 V peak-to-peak was used for HF(1 W) 1.2 ± 0.2 W, 1.8 V peak-to-peak for HF(10 W) 10.2 ± 2.3 W, and 2.5 V peak-to-peak for HF(20 W) 19.7 ± 3.8 W with power determined via calorimetry. The ultrasonically-irradiated GO solution was then drop-cast on either a Si wafer (SEM/Raman/XPS) or a TEM grid for further characterization.
The calorimetric powers (Q) were calculated using Q = mCpΔT where Cp is the specific heat capacity of ethanol, m is equal to 0.32 kg and 0.95 kg for HF and LF, respectively, and ΔT is the change in temperature recorded during irradiation time.
Structure and morphology characterization
Scanning electron microscopy (SEM).
The surface morphology of the GO flakes was characterized using a Zeiss ULTRA Field Emission Scanning Electron Microscope with an In-lens secondary electron detector. In order to image the GONS, a working distance of 3–4 mm, an acceleration voltage of 3–4 kV, and an aperture of 20 μm were utilized. These operating conditions allow visualization of the GONS overlapped structure and recognition of the fine details on the order of tens of nanometers. The statistical SEM image analysis of the GO and GONS was completed using ImageJ (see Fig. S7 in the ESI†), where >300 GO flakes and >15 GONS were analyzed for each processing time.
Transmission electron microscopy (TEM).
The GO structures were analyzed using a JEOL-2100 LaB6 TEM (see Fig. S3 in the ESI†). The accelerating voltage was 80 or 200 keV depending on the image. The second largest condenser aperture was used. The GO and GONS were drop-cast on a 200 mesh Cu TEM grid covered by a continuous carbon film (Ted Pella, Inc.).
Raman spectroscopy.
Raman spectra were acquired using a WITec Confocal Raman Microscope/SNOM/AFM. The laser wavelength was 532 nm and the spectra are characterized using a 0.3 s integration time of at least 20 spectra. Raman intensity maps (500 acquisition points for a 25 × 25 μm image) were constructed by scanning during acquisition. The spectra were deconvoluted using a single Lorentzian and a Breit–Wigner–Fano for the D-and G-band, respectively.
Atomic force microscopy (AFM).
The thickness of the GO and GONS was measured with an Asylum Cypher AFM using an Olympus 200TS cantilever (resonance frequency ≈150 kHz). The images were acquired in amplitude modulation mode83 with a free amplitude of 20 nm and a set point of 15 nm. The images were then flattened using AR software from Asylum Research.
X-ray photoelectron spectroscopy (XPS).
The GO were analyzed by Thermo Scientific K-Alpha XPS (ESCA). The X-rays were generated by a 12 keV electron beam and had a spot size of 400 μm. The C/O ratio and peaks deconvolution were performed by using the Thermo Scientific Avantage software.
Acknowledgements
I. Y. S. was supported by the Department of Defense (DoD) through the National Defense Science & Engineering Graduate Fellowship (NDSEG) Program. The authors thank Prof. R. Karnik (MIT), Dr B. M. Comeau (MIT), Dr J. Gardener (Harvard), and A. Graham (Harvard) for helpful discussions, and the Micro/Nano Engineering Laboratory (2.675) class and Pappalardo II Laboratory at MIT, and the Electron Microscopy Laboratory (AP291) class at Harvard University for support and advice. This work made use of the Center for Nanoscale Systems at Harvard University, a member of the National Nanotechnology Infrastructure Network, supported (in part) by the National Science Foundation under NSF award number ECS-0335765, and utilized the core facilities at the Institute for Soldier Nanotechnologies at MIT, supported in part by the U.S. Army Research Office under contract W911NF-07-D-0004.
References
- S. Park and R. S. Ruoff, Nat. Nanotechnol., 2009, 4, 217–224 CrossRef CAS PubMed.
- L. Liu, W. Ma and Z. Zhang, Small, 2011, 7, 1504–1520 CrossRef CAS PubMed.
- M. F. L. De Volder, S. H. Tawfick, R. H. Baughman and A. J. Hart, Science, 2013, 339, 535–539 CrossRef CAS PubMed.
- H.-P. Cong, J.-F. Chen and S.-H. Yu, Chem. Soc. Rev., 2014, 43, 7295–7325 RSC.
- S. H. Aboutalebi, M. M. Gudarzi, Q. B. Zheng and J.-K. Kim, Adv. Funct. Mater., 2011, 21, 2978–2988 CrossRef CAS.
- P. V. Kumar, N. M. Bardhan, S. Tongay, J. Wu, A. M. Belcher and J. C. Grossman, Nat. Chem., 2014, 6, 151–158 CrossRef CAS PubMed.
- Q. Zheng, L. Shi, P.-C. Ma, Q. Xue, J. Li, Z. Tang and J. Yang, RSC Adv., 2013, 3, 4680–4691 RSC.
- J. Jia, C.-M. Kan, X. Lin, X. Shen and J.-K. Kim, Carbon, 2014, 77, 244–254 CrossRef CAS.
- D. A. Dikin, S. Stankovich, E. J. Zimney, R. D. Piner, G. H. B. Dommett, G. Evmenenko, S. T. Nguyen and R. S. Ruoff, Nature, 2007, 448, 457–460 CrossRef CAS PubMed.
- D. R. Dreyer, S. Park, C. W. Bielawski and R. S. Ruoff, Chem. Soc. Rev., 2010, 39, 228–240 RSC.
- L. Liu, J. Zhang, J. Zhao and F. Liu, Nanoscale, 2012, 4, 5910–5916 RSC.
- A. A. Balandin, Nat. Mater., 2011, 10, 569–581 CrossRef CAS PubMed.
- C. Lee, X. Wei, J. W. Kysar and J. Hone, Science, 2008, 321, 385–388 CrossRef CAS PubMed.
- C. Gómez-Navarro, M. Burghard and K. Kern, Nano Lett., 2008, 8, 2045–2049 CrossRef PubMed.
- K. S. Kim, Y. Zhao, H. Jang, S. Y. Lee, J. M. Kim, K. S. Kim, J.-H. Ahn, P. Kim, J.-Y. Choi and B. H. Hong, Nature, 2009, 457, 706–710 CrossRef CAS PubMed.
- P. Sun, M. Zhu, K. Wang, M. Zhong, J. Wei, D. Wu, Z. Xu and H. Zhu, ACS Nano, 2013, 7, 428–437 CrossRef CAS PubMed.
- Y. Han, Z. Xu and C. Gao, Adv. Funct. Mater., 2013, 23, 3693–3700 CrossRef CAS.
- Z. P. Smith and B. D. Freeman, Angew. Chem., Int. Ed., 2014, 53, 10286–10288 CrossRef CAS PubMed.
- R. K. Joshi, P. Carbone, F. C. Wang, V. G. Kravets, Y. Su, I. V. Grigorieva, H. A. Wu, A. K. Geim and R. R. Nair, Science, 2014, 343, 752–754 CrossRef CAS PubMed.
- S. Stankovich, D. A. Dikin, G. H. B. Dommett, K. M. Kohlhaas, E. J. Zimney, E. A. Stach, R. D. Piner, S. T. Nguyen and R. S. Ruoff, Nature, 2006, 442, 282–286 CrossRef CAS PubMed.
- K. A. Mkhoyan, A. W. Contryman, J. Silcox, D. A. Stewart, G. Eda, C. Mattevi, S. Miller and M. Chhowalla, Nano Lett., 2009, 9, 1058–1063 CrossRef CAS PubMed.
- Z. Zhang and T. Li, Appl. Phys. Lett., 2010, 97, 081909 Search PubMed.
- J.-J. Shao, W. Lv, Q. Guo, C. Zhang, Q. Xu, Q.-H. Yang and F. Kang, Chem. Commun., 2012, 48, 3706–3708 RSC.
- J. Zou, J. Liu, A. S. Karakoti, A. Kumar, D. Joung, Q. Li, S. I. Khondaker, S. Seal and L. Zhai, ACS Nano, 2010, 4, 7293–7302 CrossRef CAS PubMed.
- S. F. Braga, V. R. Coluci, S. B. Legoas, R. Giro, D. S. Galvão and R. H. Baughman, Nano Lett., 2004, 4, 881–884 CrossRef CAS.
- X. Chen, R. A. Boulos, J. F. Dobson and C. L. Raston, Nanoscale, 2013, 5, 498–502 RSC.
- N. Patra, B. Wang and P. Král, Nano Lett., 2009, 9, 3766–3771 CrossRef CAS PubMed.
- Y.-K. Kim and D.-H. Min, Carbon, 2010, 48, 4283–4288 CrossRef CAS.
- D. Xia, Q. Xue, J. Xie, H. Chen, C. Lv, F. Besenbacher and M. Dong, Small, 2010, 6, 2010–2019 CrossRef CAS PubMed.
- E. Perim, R. Paupitz and D. S. Galvão, J. Appl. Phys., 2013, 113, 054306 CrossRef.
- Y. Wang, H. Zhan, C. Yang, Y. Xiang and Y. Zhang, Comput. Mater. Sci., 2015, 96, 300–305 CrossRef CAS , Part A.
- M. Calvaresi, M. Quintana, P. Rudolf, F. Zerbetto and M. Prato, ChemPhysChem, 2013, 14, 3447–3453 CrossRef CAS PubMed.
- X. Wang, D.-P. Yang, G. Huang, P. Huang, G. Shen, S. Guo, Y. Mei and D. Cui, J. Mater. Chem., 2012, 22, 17441–17444 RSC.
- T. Sharifi, E. Gracia-Espino, H. Reza Barzegar, X. Jia, F. Nitze, G. Hu, P. Nordblad, C.-W. Tai and T. Wågberg, Nat. Commun., 2013, 4, 2319 Search PubMed.
- J. Zhao, B. Yang, Z. Yang, P. Zhang, Z. Zheng, W. Ren and X. Yan, Carbon, 2014, 79, 470–477 CrossRef CAS.
- J. Zhao, B. Yang, Z. Zheng, J. Yang, Z. Yang, P. Zhang, W. Ren and X. Yan, ACS Appl. Mater. Interfaces, 2014, 6, 9890–9896 CAS.
- L. M. Viculis, J. J. Mack and R. B. Kaner, Science, 2003, 299, 1361 CrossRef CAS PubMed.
- D. Roy, E. Angeles-Tactay, R. Brown, S. Spencer, T. Fry, T. Dunton, T. Young and M. Milton, Chem. Phys. Lett., 2008, 465, 254–257 CrossRef CAS.
- J. Zheng, H. Liu, B. Wu, Y. Guo, T. Wu, G. Yu, Y. Liu and D. Zhu, Adv. Mater., 2011, 23, 2460–2463 CrossRef CAS PubMed.
- J. Li, Q. Peng, G. Bai and W. Jiang, Carbon, 2005, 43, 2830–2833 CrossRef CAS.
- Y. Gao, X. Chen, H. Xu, Y. Zou, R. Gu, M. Xu, A. K.-Y. Jen and H. Chen, Carbon, 2010, 48, 4475–4482 CrossRef CAS.
- H. Li, J. Wu, X. Qi, Q. He, C. Liusman, G. Lu, X. Zhou and H. Zhang, Small, 2013, 9, 382–386 CrossRef CAS PubMed.
- A. Sidorov, D. Mudd, G. Sumanasekera, P. J. Ouseph, C. S. Jayanthi and S.-Y. Wu, Nanotechnology, 2009, 20, 055611 CrossRef PubMed.
- M. V. Savoskin, V. N. Mochalin, A. P. Yaroshenko, N. I. Lazareva, T. E. Konstantinova, I. V. Barsukov and I. G. Prokofiev, Carbon, 2007, 45, 2797–2800 CrossRef CAS.
- X. Xie, L. Ju, X. Feng, Y. Sun, R. Zhou, K. Liu, S. Fan, Q. Li and K. Jiang, Nano Lett., 2009, 9, 2565–2570 CrossRef CAS PubMed.
- T. Fan, W. Zeng, Q. Niu, S. Tong, K. Cai, Y. Liu, W. Huang, Y. Min and A. Epstein, Nanoscale Res. Lett., 2015, 10, 192 CrossRef PubMed.
- C. Gong, Y. He, J. Zhou, W. Chen, W. Han, Z. Zhang, P. Zhang, X. Pan, Z. Wang and E. Xie, ACS Appl. Mater. Interfaces, 2014, 6, 14844–14850 CAS.
- J. R. Rani, S.-I. Oh, J. M. Woo, N. L. Tarwal, H.-W. Kim, B. S. Mun, S. Lee, K.-J. Kim and J.-H. Jang, ACS Appl. Mater. Interfaces, 2015, 7, 5693–5700 CAS.
- M. N. Patil and A. B. Pandit, Ultrason. Sonochem., 2007, 14, 519–530 CrossRef CAS PubMed.
- G. Gonçalves, M. Vila, I. Bdikin, A. de Andrés, N. Emami, R. A. S. Ferreira, L. D. Carlos, J. Grácio and P. A. A. P. Marques, Sci. Rep., 2014, 4, 6735 CrossRef PubMed.
- W. S. Hummers and R. E. Offeman, J. Am. Chem. Soc., 1958, 80, 1339–1339 CrossRef CAS.
- F. Perrozzi, S. Prezioso and L. Ottaviano, J. Phys.: Condens. Matter, 2015, 27, 013002 CrossRef CAS PubMed.
- Y. Zhou, Q. Bao, L. A. L. Tang, Y. Zhong and K. P. Loh, Chem. Mater., 2009, 21, 2950–2956 CrossRef CAS.
- O. C. Compton and S. T. Nguyen, Small, 2010, 6, 711–723 CrossRef CAS PubMed.
- J.-H. Kim, M. Bohra, V. Singh, C. Cassidy and M. Sowwan, ACS Appl. Mater. Interfaces, 2014, 6, 13339–13343 CAS.
- D. Y. Hwang and D. H. Suh, Nanoscale, 2014, 6, 5686–5690 RSC.
- A. C. Ferrari and J. Robertson, Phys. Rev. B: Condens. Matter, 2000, 61, 14095–14107 CrossRef CAS.
- M. S. Dresselhaus, A. Jorio, M. Hofmann, G. Dresselhaus and R. Saito, Nano Lett., 2010, 10, 751–758 CrossRef CAS PubMed.
- A. C. Ferrari and D. M. Basko, Nat. Nanotechnol., 2013, 8, 235–246 CrossRef CAS PubMed.
- A. C. Ferrari, J. C. Meyer, V. Scardaci, C. Casiraghi, M. Lazzeri, F. Mauri, S. Piscanec, D. Jiang, K. S. Novoselov, S. Roth and A. K. Geim, Phys. Rev. Lett., 2006, 97, 187401 CrossRef CAS PubMed.
- R. Rao, D. Tishler, J. Katoch and M. Ishigami, Phys. Rev. B: Condens. Matter, 2011, 84, 113406 CrossRef.
- C. Casiraghi, S. Pisana, K. S. Novoselov, A. K. Geim and A. C. Ferrari, Appl. Phys. Lett., 2007, 91, 233108 CrossRef.
- P. Mallet-Ladeira, P. Puech, P. Weisbecker, G. L. Vignoles and M. Monthioux, Appl. Phys. A, 2014, 114, 759–763 CrossRef CAS.
- P. Mallet-Ladeira, P. Puech, C. Toulouse, M. Cazayous, N. Ratel-Ramond, P. Weisbecker, G. L. Vignoles and M. Monthioux, Carbon, 2014, 80, 629–639 CrossRef CAS.
- K. S. Suslick, D. A. Hammerton and R. E. Cline, J. Am. Chem. Soc., 1986, 108, 5641–5642 CrossRef CAS.
- A. Kotronarou, G. Mills and M. R. Hoffmann, J. Phys. Chem., 1991, 95, 3630–3638 CrossRef CAS.
- M. Tinguely, D. Obreschkow, P. Kobel, N. Dorsaz, A. de Bosset and M. Farhat, Phys. Rev. E: Stat. Phys., Plasmas, Fluids, Relat. Interdiscip. Top., 2012, 86, 046315 CrossRef CAS PubMed.
- A. Brotchie, F. Grieser and M. Ashokkumar, Phys. Rev. Lett., 2009, 102, 084302 CrossRef PubMed.
- S. Merouani, O. Hamdaoui, Y. Rezgui and M. Guemini, Ultrason. Sonochem., 2013, 20, 815–819 CrossRef CAS PubMed.
- S. D. Chakarova-Käck, E. Schröder, B. I. Lundqvist and D. C. Langreth, Phys. Rev. Lett., 2006, 96, 146107 CrossRef PubMed.
- X. Chen, F. Tian, C. Persson, W. Duan and N.-x. Chen, Sci. Rep., 2013, 3, 3046 Search PubMed.
- J. R. Felts, A. J. Oyer, S. C. Hernández, K. E. Whitener Jr., J. T. Robinson, S. G. Walton and P. E. Sheehan, Nat. Commun., 2015, 6, 6467 CrossRef CAS PubMed.
- K. Kouroupis-Agalou, A. Liscio, E. Treossi, L. Ortolani, V. Morandi, N. M. Pugno and V. Palermo, Nanoscale, 2014, 6, 5926–5933 RSC.
- A. N. Rider, Q. An, E. T. Thostenson and N. Brack, Nanotechnology, 2014, 25, 495607 CrossRef CAS PubMed.
- U. Khan, A. O'Neill, M. Lotya, S. De and J. N. Coleman, Small, 2010, 6, 864–871 CrossRef CAS PubMed.
- K. R. Paton, E. Varrla, C. Backes, R. J. Smith, U. Khan, A. O'Neill, C. Boland, M. Lotya, O. M. Istrate, P. King, T. Higgins, S. Barwich, P. May, P. Puczkarski, I. Ahmed, M. Moebius, H. Pettersson, E. Long, J. Coelho, S. E. O'Brien, E. K. McGuire, B. M. Sanchez, G. S. Duesberg, N. McEvoy, T. J. Pennycook, C. Downing, A. Crossley, V. Nicolosi and J. N. Coleman, Nat. Mater., 2014, 13, 624–630 CrossRef CAS PubMed.
- H. Xu, B. W. Zeiger and K. S. Suslick, Chem. Soc. Rev., 2013, 42, 2555–2567 RSC.
- J. T. Han, J. I. Jang, H. Kim, J. Y. Hwang, H. K. Yoo, J. S. Woo, S. Choi, H. Y. Kim, H. J. Jeong, S. Y. Jeong, K.-J. Baeg, K. Cho and G.-W. Lee, Sci. Rep., 2014, 4, 5133 Search PubMed.
- F. Hennrich, R. Krupke, K. Arnold, J. A. Rojas Stütz, S. Lebedkin, T. Koch, T. Schimmel and M. M. Kappes, J. Phys. Chem. B, 2007, 111, 1932–1937 CrossRef CAS PubMed.
- A. Lucas, C. Zakri, M. Maugey, M. Pasquali, P. van der Schoot and P. Poulin, J. Phys. Chem. C, 2009, 113, 20599–20605 CAS.
- G. Pagani, M. J. Green, P. Poulin and M. Pasquali, Proc. Natl. Acad. Sci. U. S. A., 2012, 109, 11599–11604 CrossRef CAS PubMed.
- N. I. Kovtyukhova, P. J. Ollivier, B. R. Martin, T. E. Mallouk, S. A. Chizhik, E. V. Buzaneva and A. D. Gorchinskiy, Chem. Mater., 1999, 11, 771–778 CrossRef CAS.
- A. S. Paulo and R. García, Phys. Rev. B: Condens. Matter, 2002, 66, 041406 CrossRef.
Footnotes |
† Electronic supplementary information (ESI) available: SEM images of the scrolling process (Fig. S1 and S2), TEM images of the formed GONS (Fig. S3), histograms of the experimentally determined minimum and maximum GONS diameters (Fig. S4), AFM of the GONS cross-section illustrating the multi-layer structure (Fig. S5), XPS of the GO and GONS pre- and post-treatment demonstrating the preferential cleavage at oxygen sites (Fig. S6), picture of an exemplary GO area analysis in ImageJ (Fig. S7), additional information about the fits of the scaling of the GO size and GONS length with processing time (Tables S1 and S2), and scaling of GO size and GONS length for a treatment with a smaller beaker size/GO solution volume (Fig. S8). See DOI: 10.1039/C5NR07983G |
‡ These authors have contributed equally to this work. |
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