• International Journal of Technology (IJTech)
  • Vol 14, No 1 (2023)

Optoelectronic Characterization and Properties of Single-walled Carbon Nanotubes in a Liquid Dispersion Form

Optoelectronic Characterization and Properties of Single-walled Carbon Nanotubes in a Liquid Dispersion Form

Title: Optoelectronic Characterization and Properties of Single-walled Carbon Nanotubes in a Liquid Dispersion Form
Sami S. Alabsi, Mohd Haris Md. Khir, John Ojur Dennis, Saeed S. Ba Hashwan, Abdullah S. Algamili

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Cite this article as:
Alabsi, S.S., Khir, M.H.M., Dennis, J.O., Hashwan, S.S.B., Algamili, A.S., 2023. Optoelectronic Characterization and Properties of Single-walled Carbon Nanotubes in a Liquid Dispersion Form. International Journal of Technology. Volume 14(1), pp. 65-77

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Sami S. Alabsi Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
Mohd Haris Md. Khir Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
John Ojur Dennis Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
Saeed S. Ba Hashwan Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
Abdullah S. Algamili Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Seri Iskandar 32610, Malaysia
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Abstract
Optoelectronic Characterization and Properties of Single-walled Carbon Nanotubes in a Liquid Dispersion Form

Carbon nanotubes (CNTs) are very promising nanodevices due to their extraordinary electrical, thermal, and optical properties. However, as-grown single-walled CNTs (SWCNTs) contain a mixture of semiconducting and metallic species with great features versatility and variation. Solution-based processing of this nanomaterial is vital for further implementation in applicable platforms. In this paper, important optoelectronic intrinsic properties of SWCNTs in dispersions are studied applying a semi-empirical approach of optical characterization and Tauc/Davis-Mott relation and Max-Planck equations. SWCNTs are found to have a direct bandgap of 2.20 eV, an indirect bandgap of 0.27 eV, an optical conductivity of about 107 S cm-1, and exhibited a metamaterial behavior ascribed to the high negative permittivity. In addition, the optimum parameters for the dispersion of SWCNTs, and the separation of the semiconducting species using simple mechanical methods of ultrasonication and density gradient ultracentrifugation, respectively, without using surfactants are also presented.

Carbon nanotubes; Dispersion; Optoelectronic properties; Separation; Spectroscopy

Introduction

CNTs are allotropes of the carbon family with hollow cylinder structures. Based on the chirality angle divergence of the graphene sheet, their electronic properties may vary between metallic and semiconducting CNTs exist as single-walled, dual-walled or multiwalled (Setyopratomo et al., 2018; Thanthirige et al., 2016). Consisting only of surface (i.e., no bulk C-atoms), they are extremely sensitive and responsive to surface modification and optical excitation. This peculiarity of 1D ultra-thin structure renders CNTs as a potential material for future high-performance scaled nanotechnology (Alabsi et al., 2020; Sudibandriyo et al., 2015). The optoelectronic properties of SWCNTs are important features and determinants of many applications of these nanodevices.

Optoelectronic applications of SWCNTs are increasingly gaining more attention due to the extreme sensitivity and responsivity of these nanodevices to light energy. Absorption of light observes the momentum and energy conservation laws which imply that the photo-energy sufficient for the excitation of electrons from ground Anomalous optoelectronic behavior of SWCNTs may, however, be associated with structural defects and/or surface functionalization.

Thus, spectroscopy of the intrinsic properties of pristine SWCNTs is fathomable by analysis in the range of UV-Vis and NIR spectra. In fact, optical characterization is the preferred technique and is perhaps the simplest method of studying the intrinsic properties of dispersion based SWCNTs (Eremina et al., 2017; Cheung et al., 2016; Nguyen and Shim, 2015;). It paves the way for their implementation in many optoelectronic applications (Mousavi, 2012). It is also a tool to investigate the phases of several processes in real time, such as the quality of the dispersion and separation of metallic and semiconducting nanotubes (Yang et al., 2016). Optical analysis may reveal numerous optoelectronic properties of SWCNTs such as optical transmittance (Tsapenko et al., 2018), conductivity and dielectric properties (Smirnov et al., 2019; Smirnov et al., 2018), energy bandgap, and optical absorption coefficient (El-Moussawi et al., 2019; Saad et al., 2019; Blancon et al., 2015).

Intriguingly, SWCNTs exhibit extraordinary but anisotropic properties. This anisotropicity stems from the nanotubes variation in several factors such as diameter, chirality, and length (Sharma and Jaggi, 2017; Ba Hashwan et al., 2015). Despite numerous studies on the optical and electronic characteristics of SWCNTs, knowledge of their optoelectronic conductivity, bandgap energy, and dielectric behavior is still a matter of ongoing research. For instance, Mousavi reported that larger SWCNT diameter is associated with lower bandgaps and hence higher optical conductivity (Mousavi, 2012). Kuwahara,  Hirai, and Saito (2018), on the other hand, demonstrated that a thin film SWCNTs network of smaller diameter tubes showed better conductivity performance. Length of the nanotube may also be a factor determining the optoelectronic features of the SWCNTs. Shorter tubes are associated with less light transmittance and lower conductivity (Farbod, Zilaie, Kazeminezhad, 2017). He et al. (2016) reported an extremely anisotropic conductivities of perpendicularly (~42 Scm-1) and parallelly (~2500 Scm-1) aligned SWCNTs electronic devices. The bandgap of the nitrophenyl functionalized SWCNTs was calculated between 1.19 eV and 2.60 eV by (El-Moussawi et al., 2019). Kawale et al. (2016) obtained an average bandgap of 1.23 eV for samples synthesized at 700? C, while reporting a nearly 0 eV indirect bandgap for all carbon films. On the contrary, a large window of a direct bandgap of 6 eV and indirect bandgap of 5.2 eV of pristine CNTs was reported by (Murali and Perumal, 2018). Nonetheless, the absorption spectra have shown some variation over several studies. In one study, the UV-Vis absorption peaks of SWCNTs solution were reported at 225 nm and 273 nm (Attal, Thiruvengadathan, and Regev, 2006), while absorption maxima were observed at ~206 nm and ~251 nm by another study (Rance et al., 2010). ?-plasmon absorption with two extreme peaks at ~246 and ~275 nm were recorded by (Cheung et al., 2016).

    Even though SWCNTs have received much attention in the past decade, their properties are still being a subject of intense research. This article presents the first comprehensive study to investigate the important optoelectronic properties, namely, the optical absorbance, energy bandgap, optoelectronic conductivity, and the dielectric behaviour of pristine SWCNTs utilizing a semi-empirical approach of optical characterization and Beer-Lambert law (Chiodarelli and De Volder, 2019; Njuguna, Vanli, and Liang, 2015), Tauc and Davis-Mott relation (Berwal et al., 2017; Johan et al., 2014; Kim et al., 2014; Tan et al., 2012; Li et al., 2009) and Max-Planck equations (Bouazza et al., 2021; Arbab, 2019). Interestingly, the analysis of the optical absorbance of the samples prepared for the optical characterization revealed significant results about the nanotubes dispersion and separation. Simple mechanical methods of dispersion and separation were followed in preparing the SWCNTs samples, while avoiding the use of surfactants to preserve the intrinsic properties of the nanotubes for more reliable optical characterization. Supported by semi-empirical results, optical characterization has shown that separation of SWCNTs is achievable with repetitive cycles of sonication and ultracentrifugation at a certain relative gravity force (RCF) with careful extraction and yield fractioning. 

Experimental Methods

2.1. Materials

        The materials used in this study were of analytical grade. Pristine unfunctionalized SWCNTs in powder form produced by arc-discharge technique was obtained from Iljin Nanotech. The polar solvents of dimethyl formamide (DMF) and tetrahydrofuran (THF), and DI water (18.2 M? cm) were purchased from Sigma-Aldrich. All materials were used as received. Experiments were conducted at the nanomaterials laboratory, Universiti Teknologi Petronas.

2.2. Methodology

2.2.1. Dispersion and separation

        Solution based SWCNTs was prepared by adding the powder form of pristine as-synthesized SWCNTs to DMF in three different concentrations: 0.1%, 0.01%, and 0.001% ?/?. The mixture was then ultrasonicated, using Jeken ultrasonicator PS-40A, at four different sonication durations: 30min, 60min, 90min, and 120min, at a moderate power of 40W. The use of surfactants was avoided to preserve the intrinsic properties of the nanotubes.
     For the separation of the semiconduction (sc)-CNTs from the metallic (m)-CNTs, 0.01% w/v aqueous solution of SWCNTs in DI water was stirred at 300 rpm for 30 min at room temperature, then ultracentrifuged at 15,000 rpm ~ 27720 RCF, using Benchtop High Speed Refrigerated Centrifuge BCBHR-308, at four different cycle and duration settings: 30 min, 60 min, 90 min, 120 min. The supernatant yield was carefully fractioned for optical analysis after each centrifugation cycle. The algorithm is related to the density gradience between the two electronic species with the semiconducting being buoyant with less dense gradient extracted from the top phase of the yield. In other words, ultracentrifugation at this gravity force might be effective in the separation of nanotubes suggesting gradient of metallic nanotubes is denser than semiconducting ones.

2.2.2. Characterization
      Spectroscopy of absorbance/reflectance of light in the ultraviolet, visible and near infrared regions was performed using UV-Vis NIR spectroscopy (Agilant, Carry 60) with a dual beam mode, a scan rate of 4800 nm/min, starting wavelength of 1100 nm and a stopping wavelength of 190 nm. Correction/subtraction of the blank spectra (i.e., DMF solvent) from the sample by dual-beam spectrometer was reckoned for to obtain the absorbance due purely to the CNT species.  

Results and Discussion

3.1. Absorption Spectra and Dispersion

        The transition that occurs from the ground state to the excited state requires the absorption of a specific amount of energy given by  E = hv, where h is the Planck’s constant and v is the frequency of the incident light.

        The energy difference between HOMO and LUMO corresponds to the electron excitations pertaining to absorption of a specific light wavelength spectrum. The broad range of wavelengths in Figure 1 is, in fact, explained by the CNT 1D structure density of states known as Van Hove singularities. The transition that takes place at the wavelength that absorbs most strongly at 275 nm for 0.1% concentration, and at 280 nm for both 0.01% and 0.001% concentrations represent the ?-plasmon absorbance.

Figure 1 Absorbance spectra relative to variation of sonication durations against variation of concentration: (A) 0.1%, (B) 0.01%, and (C) 0.001% of SWCNT/DMF.

        The increase in sonication time had a significant effect on increasing the absorbance intensity in all concentrations. At the highest concentration of 0.1%, the increase of absorbance intensity over sonication durations was somehow monotonic. Lower concentrations had higher rate of SWCNTs deagglomeration evident by the increment in the absorbance intensities. Dramatic increase, however, takes place at 120 min/0.01%, 90 min/0.001% and even more sizable leap is observable at 120 min/0.001% reaching as much as double the absorbance intensity as that of 120 min/0.1%. Higher absorbance intensities signify higher rate of debundling and homogeneity of the dispersions (Nguyen et al., 2011). The absorbance is remarkably showing two significant peaks: small and major. The major absorbance peak of 0.1% occurs at 275 nm but a shift towards the red zone is observed as concentration decreases with peaks center at 280 nm for 0.01% and 0.001%. The small peak at 236 nm remains unshifted regardless of the change in concentration and sonication duration. The major peaks represent the strong ?-plasmon resonance absorbance peaks of the nanotubes in liquid form (Smirnov et al., 2019). Similar strong ?-plasmon  peaks were observed by (Li et al., 2009). Table 1 demonstrates the prominent peaks along with their respective wavelengths for all concentrations and sonication durations.

Table 1 Absorbance intensities and corresponding wavelengths of major peaks for each duration setting and concentration

        Monotonic decrease in absorbance intensity after the major peak of 0.1% and 0.01% is observed without showing further significant isolated peaks. Note that only after 120min/0.001% the major peak is now contorted to include two more peaks. The inclusion of the two peaks of 310 nm and 370 nm, along with the significant increase in the absorbance intensities, especially at 120 min, is an indication of a deeper and more significant deagglomeration of the SWCNTs and confirms that the dispersion has improved over sonication durations.


Figure 2 Deconvolution of the 120 min/0.001% setting peak

        The interband excitonic transitions are more evident and wider, which implies higher rate of deagglomeration and the existence of individually dispersed SWCNTs at higher rates in the lower concentration dispersions, specifically at the highest sonication duration of 120 min than in the higher concentrations and at lower sonication durations. The deconvolution analysis of the highest peak of the 120 min/0.001% setting in Figure 2 illustrates the breakdown of the individual nanotube transitions. It reveals the mixture composition and the variation of the nanotubes’ properties between metallic and semiconducting as the absorption shifts from the UV to the visible and near infrared regions. The increment in the absorbance intensities is also an indication of better dispersibility and debundling of individual nanotubes over extended sonication durations (Jiang, Song, and Xu, 2018). Moreover, the few peaks along the wavelength spectrum is an indication of the purity of the nanotube species and the low rate of contamination.

        However, DMF is a neutral Lewis base that readily facilitates the catalysis of the reversible process of deprotonation of the nanotubes (Arai, 2010). The shift in the peak waveform towards the NIR zone may also be an indication of the deprotonation of the carbon nanotubes with longer sonication durations (Kozlowska, Meyer, and Rodziewicz, 2019; Nguyen and Shim, 2015). It can also be ascribed to the swelling, ionization, and dissociation of the nanotube species in the DMF. While metallic SWCNTs are more reactive to protonation near neutral pH, semiconducting SWCNTs are reactive and sensitive to protonation near more acidic pH values (Engtrakul et al., 2005). Protonation is a reversible process whereby SWCNTs neither lose their electron, nor do they change structure of electronic state permanently.

        Absorbance spectra presented here, are in accordance with the results obtained by (El-Moussawi et al., 2019). Similar waveforms were also observed in other works ( Nguyen and Shim, 2015; Nguyen et al., 2011).

        In comparison, other studies reported longer sonication durations, and some resorted to the use of surfactants which are difficult to remove and known to degrade the performance of the nanotubes. Mougel et al. (2016) reported the successful dispersion of SWCNTs at an optimum sonication time of 2.5 h using a power density of 0.7 W/mL. Another study showed that SWCNTs retained most of their length after 2 h sonication of the nanotubes in SDBS at 90 W (Gomulya et al., 2013). At a higher power of 225 W, Barman et al. (2010) investigated the optical characteristics of SWCNTs in NMP at a range of different sonication durations reaching up to 480 min. The absorption intensity increased and peaked at 120 min but notably decreased after this duration point due to re-bundling that was confirmed by AFM images. While in a different study, a tip-sonication was performed to disperse SWCNTs in sodium deoxycholate (DOC) for 1.5 h in an ice water bath at a power of 1 W/mL. Raman analysis of the nanotubes lengths indicated a low level of defects (Simien et al., 2008).

3.2. Separation of sc-SWCNTs

The optical absorption bands of the sc-SWCNTs buoyant density fraction is illustrated in Figure 3. Isolated nanotubes absorb light at different wavelengths allowing for the determination of their conductivity type. The photoresponse of the metallic (M11) electronic transition is observed in the visible region, while the photoresponse of the semiconducting (S22) electronic transition of the nanotubes is observed in the near infrared region (Ong, Euler, and Levitsky, 2010). The complete attenuation of the absorption spectra at the M11 transition band of the metallic nanotubes and the notable increase in the absorption spectra at the S22 transition band of semiconducting nanotubes is an indication of the successful separation of the sc-CNTs from m-CNTs. Notably, the absorption peaks of the metallic nanotubes transition bands faded away with longer DGU durations, while absorption peaks at the semiconducting absorption band gained stronger pulse at higher DGU durations. Fractions after each ultracentrifugation setting contained higher purity yield of semiconducting nanotubes. This is evident by the inclusion of more peaks with higher intensities at the S22 excitonic band and the demise of the peaks at the M11 excitonic band due to the consistent increasing rate of gradient buoyancy density differentiation of the sc-CNTs and the m-CNTs with increased ultracentrifugation duration settings. Absorbance peaks in the S22 excitonic band are attributed to the Van Hove singularities absorption in the NIR region. Results here are in agreement with results by (Wang and Lei, 2020; Tang et al., 2018; Eremina et al., 2017).


Figure 3 Metallic and semiconducting electronic transitions

The separation of the sc-SWCNTs from the m-SWCNTs was further validated by the extrapolation of the bandgap energies discussed in following section.

3.3. Bandgap

The bandgap of a material is the difference of energy that an electron is required to have in order to make a transition from one band of lower energy to another of higher energy. Based on the energy required to make this transition, the absorption of photo-energy in the UV-Vis NIR spectroscopy is correspondent to specific molecular orbitals (MO). As aforementioned, these orbitals represent bonding and antibonding orbitals, and the transition takes place between the HOMO and the LUMO. The absorption at the red edge of the spectra is utilized to determine the bandgap. The bandgap is obtained using equation:


where ? is the absorbance coefficient, and the collective term (hv) is denoting the incident photon energy. The exponent “n” represents the nature of transition. For direct transition = 2 and for indirect transition n = 1/2. is energy independent constant, and Eg is the optical bandgap energy.


Figure 4 Tauc-Davis Mott direct and indirect band gap transitions for (A) before and (B) after DGU

The extrapolation of the bandgaps in Figure 4 demonstrates that SWCNTs are direct and indirect nanomaterial. There is a significant disparity between the direct bandgap and the indirect one obtained from the samples before DGU. This is ascribed to the nature of the as-synthesized nanotubes having a mixture of both metallic and semiconducting species.

The indirect bandgap at 0.27 eV is showing a quasi-metallic behavior of the nanotubes, while the 2.20 eV direct bandgap is more to the semiconducting nano-species, both existing in the as-synthesized mixture. The bandgap is inversely proportional to the nanotube diameter. A 2.20 eV bandgap might be associated to a CNT with a diameter of a 0.2 nm, while a small bandgap could be of a CNT with a larger diameter (Venkataraman et al., 2019).

However, after the DGU, the direct and indirect bandgap disparity has significantly shrunken, and the difference was reduced to a lower range. In Figure 4, the values of 1.86 eV and 2.28 eV, for the direct and indirect bandgaps, respectively, are both in the semiconducting range, which is believed to be due to the separation of the metallic nanotubes from the semiconducting ones.

Indirect bandgap of CNTs was reported by one study (Wang et al., 2017). SWCNTs may change, under strain, from direct to indirect gaps as explained by (Qiu et al., 2016). While, another study construed that the nanotubes are of direct bandgap due to their 1D structure (Li et al., 2009). Murali and Perumal (2018) extrapolated the bandgap of SWCNT at 6 eV and 5.2 eV for direct and indirect transitions, respectively, using x-intercept in Tauc plot. 

According to a probable direct inter-band transitions between the Van Hove singularities and the density of states, three optical bandgaps of 2.2 eV, 3.5 eV, and 4 eV were obtained by (Gharbavi and Badehian, 2015). In another study based on density functional methods, it was showed that armchair (n, n) SWCNTs have indirect semiconducting bandgap ranging 1.062 eV - 2.112 eV (n = 3 – 10), while for zigzag (n, 0), the SWCNTs have a direct semiconducting bandgap ranging 0.659 eV - 1.603 eV (n = 5 – 10) (Sun, 2011).

3.3. Optical Conductivity

        Optical conductivity is another important parameter in the optoelectronic analysis of CNTs. It unlocks the potential for numerous applications of CNTs in optoelectronic field (Mousavi, 2012). The optical conductivity  was mathematically modelled and graphed against the excitation wavelengths and against the incident photon energy.

        Optical conductivity depends mainly on the optical bandgap, refractive index, absorption coefficient, incident photon frequency and excitation coefficient and is given by the following equation (Arbab, 2019; Sharma and Katyal, 2007):

where  is the refractive index, and  is the speed of light in vacuum. The refractive index is given by:

where  is the percentage of transmittance, and is the light absorbance, which is a dimensionless quantity.

Text Box: A

Text Box: B


Figure 5 Optical conductivity of SWCNTs as a function of (A) wavelength and (B) optical energy

        Figure 5 depicts the optical conductivity of the SWCNTs. The most prominent peak centers at ~3.9 eV, similar to results reported by (Gharbavi and Badehian, 2015). Another smaller peak at ~3.35 eV is also evident. This means that SWCNTs are most conducting at optical energy bands of ~3.35 - 3.9 eV. Moreover, it is observed that the maxima of electron excitation are attained at wavelengths 310 nm and 370 nm. SWCNTs have a high conductivity in the order of 107 - 108 as also reported by (Venkataraman et al., 2019; Zhang et al., 2015). While, a non-resonant optical conductivity of individual SWCNTs was measured at  by another study (Blancon et al., 2015).

3.4. Dielectric

The dielectric behavior of SWCNTs is given by are the dielectric constant real and imaginary parts, respectively. n is the refractive index. K is the extinction coefficient, and  is the absorption coefficient obtained by the following equations:



Figure 6 The real and the imaginary parts of SWCNTs dielectric behavior

        The permittivity properties of the nanotubes are tunable to light wavelengths and intensities (Smirnov et al., 2019). The dielectric behavior of SWCNTs can be examined against wavelength, frequency or energy (Sharma and Jaggi, 2017). Figure 6 is demonstrating the dielectric complex of the real and imaginary parts. The permittivity of SWCNTs, given by the real part, decreases drastically below zero to high negative values in the UV range but increase at visible and near infrared wavelengths to lower negative values. While the real part decreases, the imaginary part increases in the UV region, and they start to reverse direction beyond the UV wavelength range towards the visible and NIR regions. The imaginary part indicates that there is a large loss of energy or absorption of light whereby electrons start to be excited to conduction levels. However, the loss of the imaginary part never tends to zero as is the case of pure dielectric materials, while the permittivity of the real part, though increased, remains negative. This behavior Indicates that SWCNTs demonstrate a ferroelectric and metamaterial properties (Flory, 2011). High negative values of the real part of dielectric in the range of -11000 to -7000 is also observed by Zhang and colleagues. According to Zhang et al., radius and electrical conductivity of the CNT bundles are the main contributors of the real part permittivity negative value (Zhang et al., 2015). The change in conductivity is related to excitation of surface plasmons depending on the illumination of light wavelength in the visible and NIR regime (Smirnov et al., 2019). Li and Liu also obtained a negative real part permittivity of the SWCNT samples and explained that the increase and decrease in the real and imaginary parts of the SWCNTs dielectric constant follow the Drude model of free electron movement (Li and Lue, 2007). Similar results by Smirnov et al. showed that with higher augmented light intensities, the real part can, however, increase to positive values (Smirnov et al., 2018). This study pointed out that the real part exhibits resonant behavior that the conductivity cannot be explained by the simple Drude model but rather by using Drude-Lorentz model combined with the Maxwell-Garnett theory.

      Carbon nanotubes have unique optoelectronic features and are intriguingly tunable to light, but they are highly anisotropic because of several parametric variations such as in structure (i.e. chirality angle), diameter, and length, which may explain the variations in their optical and electronic properties. Results in this paper appeal to the build-up of a solid background on these nanodevices and give an insight into the optoelectronic features of SWCNTs that would open the potential for numerous applications.


Conclusion

    Optical characterization with semi-empirical extrapolation using Tauc/Davis and Max-Planck models can be a powerful tool to reveal significant optical and electronic properties of SWCNTs. The high conductivity and the versatile dielectric behavior are features claiming SWCNTs as the nanomaterial for a futuristic wide range of applications. In addition, analysis of the absorption spectra revealed the successful dispersion and separation of SWCNTs that was achieved using an organic solvent along with simple mechanical processing methods, without incorporating any additives. The parameters of sonication and ultracentrifugation durations and concentration were studied. Higher durations of sonication at lower concentrations yielded the optimum homogeneous dispersion, while the separation of semiconducting nanotubes was validated against absorption intensities and bandgap energies.

Acknowledgement

    This research was supported by the Universiti Teknologi PETRONAS, Malaysia, through the Graduate Assistantship (GA) Scheme.

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