Next Article in Journal
Preparation and Characterization of Mo Doped in BiVO4 with Enhanced Photocatalytic Properties
Previous Article in Journal
Genetically Engineered Phage Induced Selective H9c2 Cardiomyocytes Patterning in PDMS Microgrooves
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Carbon Nanostructure of Kraft Lignin Thermally Treated at 500 to 1000 °C

1
Department of Sustainable Bioproducts, Mississippi State University 1, Starkville, MS 39759, USA
2
USA Department of Agriculture, Forest Service, Forest Products Laboratory, Madison, WI 53726, USA
*
Authors to whom correspondence should be addressed.
Submission received: 13 July 2017 / Revised: 17 August 2017 / Accepted: 18 August 2017 / Published: 21 August 2017
(This article belongs to the Section Advanced Materials Characterization)

Abstract

:
Kraft lignin (KL) was thermally treated at 500 to 1000 °C in an inert atmosphere. Carbon nanostructure parameters of thermally treated KL in terms of amorphous carbon fraction, aromaticity, and carbon nanocrystallites lateral size (La), thickness (Lc), and interlayer space (d002) were analyzed quantitatively using X-ray diffraction, Raman spectroscopy, and high-resolution transmission electron microscopy. Experimental results indicated that increasing temperature reduced amorphous carbon but increased aromaticity in thermally treated KL materials. The Lc value of thermally treated KL materials averaged 0.85 nm and did not change with temperature. The d002 value decreased from 3.56 Å at 500 °C to 3.49 Å at 1000 °C. The La value increased from 0.7 to 1.4 nm as temperature increased from 500 to 1000 °C. A nanostructure model was proposed to describe thermally treated KL under 1000 °C. The thermal stability of heat treated KL increased with temperature rising from 500 to 800 °C.

Graphical Abstract

1. Introduction

Lignin is one of the most abundant natural polymers and accounts for 10–35 dry wt % of total 200 × 109 tons/year of global lignocellulosic biomass production [1,2]. The main source of lignin comes from wood pulping and cellulosic ethanol industries as byproducts [3,4]. The global annual production of lignin from the wood pulping process is around 70 million tons [5]. However, the majority of lignin, especially kraft lignin (KL, 80% of the world’s chemical pulping lignin production) is burned onsite for energy and pulping chemicals recovery, and less than 2% of lignin is isolated from pulping liqueurs and used for value-added products [6]. As a highly functional aromatic polymer, lignin was considered as a good candidate for the substitution of polyol and phenol for synthesizing polyurethanes [7] and phenolic resins [8], however, its large-scale application is limited because of its heterogeneous structure and low reaction activity.
Recently, thermal treatment of lignin is widely investigated for producing fuels and chemicals [3,9], but the high process cost is the major challenge for the commercialization of these technologies. Thermal treatment of lignin also has been researched for producing solid carbon products such as activated carbon [10] and carbon fiber [11] because of a high carbon content of lignin (>60 wt %). The physicochemical properties of activated carbons and carbon fibers are dominated by their nanostructures. Thermal treatment of lignin yields non-graphitizing carbons consisting of many nanocrystallites (nano-sized graphene layers) cross-linked with amorphous carbon [12], and these non-graphitizing carbon cannot be converted to graphite even at 3000 °C. The structural properties of non-graphitizing carbons such as lateral size (La) and thickness (Lc) of nanocrystallites, and amorphous carbon fraction (Xa) are critical to their chemical and physical properties, and these properties are affected by process temperature [13]. Limited literature is found related to quantitative analyses of these structural properties as a function of thermal treatment conditions such as temperature under 1000 °C for lignin, especially, KL.
The common methods used to analyze carbon structures are X-ray diffraction (XRD), Raman spectra, Fourier transform infrared spectroscopy (FTIR), and high-resolution transmission electron microscopy (HRTEM) image processing. Among these mentioned characterization techniques, XRD and Raman provide quantitative information about carbon structural lateral sizes like La and Lc. Rodríguez-Mirasol et al. used XRD methods to analyze Lc of carbons in KL treated at 1100 to 2400 °C [14]. Later, their group used Raman characterized electrospun Alcell lignin-based carbon fiber produced at temperatures between 600 to 1000 °C, and the results suggested that the degree of structural organization on those lignin-based carbon fibers was superior to the reported pitch-based carbon fibers prepared at same temperature levels [15,16]. Lu et al. characterized Xa, La, Lc, and d002 of various coals using the XRD method, and standardized their quantitative analysis procedures for disordered carbons [17]. Zickler et al. discussed the differences between La values determined from XRD and Raman methods for thermally treated wood [18]. FTIR is used studied chemical structural changes of alkali lignin heated at 150 to 550 °C [19] and chemical pathway of the aromatic structure of lignin thermal treated at 300 to 1400 °C [20]. The HRTEM image processing method is widely used for quantitative analyses of the nanocrystalline structure of various carbon materials such as coals [21,22], carbon black [23], soot [24], and thermally treated polymers [25].
In this study, KL was thermally treated at six temperature levels (500, 600, 700, 800, 900 and 1000 °C). Temperature effects on carbon nanostructures of these thermally treated KL in terms of lateral size (La) and thickness (Lc) of nanocrystallites and amorphous carbon fraction (Xa) were characterized quantitatively using FTIR, XRD, Raman, and HRTEM image processing methods. The potential application of carbon nanomaterials produced could be the raw material for making battery anodes [26].

2. Materials and Methods

2.1. Thermal Treatment Process

Deionized-water purified softwood KL was supplied by Domtar Corp. (Plymouth, NC, USA), its commercial name is Bio-Choice lignin. The specification provided by Domtar showed that KL contained 97.1% lignin and 1.7% sugar, and had a pH value of 6.2. The KL ash content measured in our lab was 0.53%, following ASTM D1102 [27]. The KL sample was sent to Soil Testing Laboratory of Mississippi State University for element analysis, where carbon, hydrogen, and oxygen content were measured by a PE 2400 CHN Elemental Analyzer (PerkinElmer, Houston, TX, USA), and inorganic components was measure by a 4300 Optima ICP Spectrophotometer (PerkinElmer, USA). The oxygen content was evaluated by the difference, and the element analysis results of KL is shown in Table 1.
The effects of six temperature levels (500, 600, 700, 800, 900, and 1000 °C) on the nanostructure of thermally treated KL samples were investigated. For each target temperature run, four grams of KL were loaded respectively on two porcelain boats (each holds 2 g) placed in the heating zone of a split-hinge 50 mm-quartz tube electric furnace (Lindberg/Blue M 1200. Thermo Scientific™, Pittsburgh, PA, USA) equipped with a temperature controller (Lindberg/Blue UTC 150). After purging argon gas (99.99%) for 15 min to exclude air from the system, the target temperature was raised to at a ramping rate of 20 °C/min under atmospheric pressure with an argon gas (99.99%) at a flow rate of 1.8 L/min. After holding each evaluated temperature for 1 h, the furnace was turned off and allowed to cool to ambient temperature under an argon atmosphere. Each thermally treated KL sample was removed out from the heating system, weighed, labeled as KL-X, where X represents the evaluated temperature level, for instance, KL-1000 represents the KL sample treated at 1000 °C. In order to study the KL thermal degradation process, KL was also heated at 200, 300, 400 °C for 2 h under the same thermal treatment condition. All sample solid carbon materials yields (Y, %) were calculated using the Equation (1).
Y = W 1 W ash W 0 W ash × 100 %
where W1 is the solid materials weight after thermal treatment (g), W0 is oven-dried kraft lignin weight (g), Wash is ash weight (g).
In addition to the thermal treatment of KL samples using the described furnace system, the thermogravimetric analysis (TGA) was conducted to analysis KL thermal decomposition behavior. TGA experiment was performed on a thermo-gravimetric analyzer (TGA Q5000, TA Instruments, New Castle, DE, USA), 5 mg of KL was first pretreated in the argon (99.99%) flow at 25 °C for 5 min, then heated up to 1000 °C at a heating rate of 10 °C/min under argon flow (100 mL min−1).

2.2. Characterization

2.2.1. FTIR

The FTIR spectra of KL-X samples were recorded with the PerkinElmer attenuated total reflection (ATR) spectrometer (PerkinElmer, USA) at a resolution of 2 cm−1 for 10 scans in the 450 to 4000 cm−1 range. Powdered KL-X samples were pressed against the ATR device diamond crystal. The background spectrum of air was subtracted from the sample spectrum. The spectra were baseline-corrected by applied “Data Tune-up” using Spectrum® Quant software (PerkinElmer, USA). Five replicates were analyzed for each of six KL-X samples.

2.2.2. XRD

XRD analyses of all KL-X samples, one sample per temperature level, were conducted on Ultima3 diffractometer (Rigaku, Japan. CuKα radiation with λ = 1.5406 Å). The diffraction intensities were measured in the 2θ range from 3 to 120° on a step-scan mode (0.1°/step), and the intensities were collected for 6 s at each step. The quantitative analysis of XRD patterns was conducted using the method developed by Lu et al. The original XRD data sets of KL-X samples were first converted into reduced intensity XRD patterns through polarization correction, intensity normalization, and reduction steps. Three (0 0 2), (1 0), and (1 1 0) graphite diffraction peaks appeared in the reduced intensity patterns were used to calculate five structural parameters of KL-X samples, including amorphous carbon fraction (Xa), aromaticity (fa), interlayer spacing (d002), nano-crystallite lateral size (La) and thickness (Lc).
The Xa value was resolved by adjusting the (002) peak to the most symmetrical peak. The value of fa describing the ratio of carbon atoms in edge aliphatic chains vs aromatic rings was calculated by the deconvolution of 2θ region of 15–37° to two pseudo-Voigt peaks around 20° (γ peak) and 26° ((0 0 2) peak) using the Equation (2) [17]:
f a = A 002 A 002 + A γ
where A002 and Aγ are the areas underneath of (0 0 2) and γ peaks, respectively.
The d002 value (Å) of carbon nanocrystallites was calculated from the (0 0 2) peak by using the Bragg equation [28]:
d 002 = λ 2 sin θ
where λ is the wavelength (Å), θ is the Bragg angle of the (0 0 2) peak.
La and Lc values of carbon nanocrystallites were calculated from (0 0 2) and (1 1 0) peaks using the following Scherrer equation [29]:
L a / c = K λ B cos θ
where λ is the wavelength (nm); B and θ correspond to the full width at half maximum (FWHM) and the Bragg angle of the corresponding peak, respectively; K is equal to 0.89 and 1.84 for (0 0 2) and (1 1) peaks, respectively. More detailed information regarding these structural parameters calculations can be found in the dissertation [30].

2.2.3. Raman

Raman spectra of all KL-X samples, one sample per temperature level, were recorded using a LabRAM Arimas confocal Raman microscope (Horiba, Japan) under a green laser (wavelength λ = 532 nm). The spectra were deconvoluted into four peaks (corresponding to ~1170 cm−1, D1, D3, and G bands, respectively) by pseudo-Voigt function [15,18]. The band intensities, including both peak height intensity (I) and peak area intensity (A), were resolved from Lorentz peaks. The intensity ratios of both D3 to G peak and D (D1 plus D3) to G peak were calculated, i.e., ID/IG represents the height ratio of D to G peak, and AD/AG represents the integrated area ratio of D to G peak. The La value (nm) was calculated based on ID/IG and AD/AG using the following equations [18,29,31]:
L a , I = ( C 0 + λ C 1 ) ( I D I G ) 1
L a , A = ( C 0 + λ C 1 ) ( A D A G ) 1
where C0 and C1 are wavelength pre-factor and C0 = −12.6 nm and C1 = 0.333, λ is the wavelength (nm).

2.2.4. HRTEM

The nanostructure of KL-X samples was analyzed on a JEOL 2100 HRTEM (JEOL, Peabody, MA, USA) using at least 400,000 magnification. The KL-X samples were hand-ground to fine powder in ethanol and then sprayed over a lacey copper grid. Bright-field HRTEM images were analyzed using the methods proposed by previous studies [20,21,22,27,32]. The ImageJ software (available at https://imagej.nih.gov/ij/) was used for image processing, and the detailed processing procedures can be found in the dissertation [30]. The digitized HRTEM image was first converted to a negative image after contrast enhancement, followed by the filtration procedure of using the Gaussian filter. The filtered image was converted to a skeletonized image to extract carbon lattice layers. The extracted carbon layers were subjected to morphological modification to repair aggregated layers, followed by converting the image to a black-and-white skeletonized image. The average length of carbon layers (La) was calculated from software outputs. Carbon-based materials with their layer lengths less than 0.5 nm were considered as amorphous carbon and discarded from La calculation.

3. Results and Discussion

3.1. Thermal Treatment Yield

The solid yield of KL-X samples decreased from 91.09 to 44.89% as the temperature increased from 200 to 400 °C (Figure 1a). The yield of KL-X samples kept around 41% as the temperature increased from 500 to 1000 °C. Three major weigh loss stages were observed in thermogravimetric (TG) and differential thermogravimetric (DTG) curves (Figure 1b). The first stage had 1.5% weight loss as the temperature increased from 30 to 150 °C because of the evaporation of free water. The major KL weight loss of 53.6% occurred at the second stage as the temperature increased from 150 to 550 °C because of its thermal decomposition, and its maximum weight loss rate of 0.38 wt %/°C was attained at 405 °C. The minor shoulder DTG peak at 320 °C can be attributed to decomposition of sugar impurity in KL. The weight loss of KL in the third stage between 550 and 1000 °C was 8.8%. The calculated yield based on the thermal treatment performed in the furnace was 41.85% at 500 °C, which was different from the yield result of 48.18% from the TGA test. The inconsistency was because TGA provided the real-time yield at 500 °C, while the furnace system provided the yield of KL sample treated at 500 °C for 2 h.

3.2. Characterization of Solid Carbon Structure

3.2.1. FTIR

FTIR spectra (Figure 2) show that the reduction of infrared (IR) signals of KL-X samples mainly occurred at the temperature range of 200 to 700 °C. The reduction of IR signals at the temperature range of 200 to 500 °C was significantly higher than that of 500 to 700 °C. This suggested the majority of lignin side chains were decomposed after heated at 500 °C for 2 h. Specifically, the reduction of 1705 cm−1 (corresponding to C=O) [33], 1079 and 1030 cm−1 (both corresponding to aliphatic C–O) bands [34] in the temperature range from 200 to 500 °C can be attributed to cracking and reforming of carboxyl (–COO–), carbonyl (–CO–) [35], and ether (R–O–R) groups. The reduction of IR bands at 3600~3100 cm−1 (corresponding to –OH) [36] and 2860~2939 cm−1 (corresponding to –CHn) [37] at the temperature below 400 °C resulted from lignin dehydration and decomposition of aliphatic chains [38]. Besides, the reduction of 633 and 555 cm−1 IR bands at the temperature below 300 °C was related to the decomposition of sugar (hemicellulose) impurities. All IR bands for aliphatic chains (1079 cm−1), methoxyl (1425 cm−1), and aromatic-bonded oxygen (1266, 1365 cm−1) groups [34,39] were considerably reduced as temperature increased to 500 °C. The decreases of aromatic C=C stretch and C–H deformation at 1595 cm−1 and 1150 cm−1, respectively [40], indicated the increase of aromatic condensation degree [41]. However, the high intensity between 700~900 cm−1 appeared the spectrum of KL-500 suggested the formation of volatile tars on the solid carbon surface at 500 °C [19]. The intensity of IR band at 700~900 cm−1 decreased with the rise of temperature from 500 to 700 °C indicated the secondary pyrolysis of tars [35]. As temperature further increased to 700 and 800 °C, IR bands became nearly invisible in KL-X samples, except for the weak aromatic C=C stretch band near 1595 cm−1, suggested nearly complete decomposition of side chains below 800 °C. Meanwhile, the dehydrogenation and rearrangement of aromatic rings probably started at this temperature range, led to the increase of aromatic condensation degree, i.e., the growth of nano-graphene layers sizes [20]. New IR bands near 1458 cm−1 (C=C–O deformation) appeared in KL-900 and KL-1000 spectra can be attributed to the dehydrogenation and cracking of aromatic rings [20], which possibly resulted in the rearrangement of nano-graphene layers.

3.2.2. XRD

There was no diffraction peak detected in XRD patterns (Figure 3a) of KL-500 and KL-600 samples, indicating that these thermally treated KL samples had disorder structures. Diffraction peaks appearing around 23° and 42° in KL-X samples treated above 700 °C can be attributed to (0 0 2) and (1 0) reflections of carbon nanocrystallites [42], respectively. Increasing the intensity at diffraction angle less than 10° within the temperature range from 700 to 1000 °C suggested nanopores developed in KL-X samples [43].
The values of structural parameters (Xa, fa, d002, La, and Lc) of carbon nanocrystallites were calculated using reduced intensity XRD patterns (Figure 3b), summarized in Table 2, and were also plotted as a function of temperature in Figure 3c–e, respectively. In general, fa values increased as the temperature increased from 500 to 1000 °C, but the growth ratios were different in different temperature ranges. The growth ratio in the lower temperature range (500 to 700 °C) was 0.12%/°C, which was faster than 0.02%/°C in the higher temperature range (700 to 1000 °C). There were three decrease ratios of 0.04, 0.01, and 0.05%/°C observed in three temperature ranges from 600 to 700 °C, 700 to 900 °C, and 900 to 1000 °C for Xa values, respectively. All these results indicated that there was an increasing trend of KL-X structural ordering as the temperature increased from 500 to 1000 °C, but the magnitude of growth ratios was affected by temperature. The d002 value decreased with the rise of temperature from 500 to 800 °C (Figure 3d) and no further decrease was observed as the temperature further increased from 800 to 1000 °C. The decreasing ratio in the lower temperature range from 500 to 600 °C was 1 × 10−4 Å/°C, which was lower than 3 × 10−4 Å/°C in the higher temperature range from 600 to 800 °C. All KL-X samples having d002 values larger than 3.35 Å (graphite lattice distance) indicated that the majority of nano-graphene layers in KL-X samples stacked in turbostratic structure [44]. The La value of carbon nanocrystallites in KL-X samples grew at a faster rate of 2.04 × 10−2 nm/°C as the temperature increased from 500 to 800 °C compared to the rate of 4.4 × 10−3 nm/°C as the temperature further increased from 800 to 1000 °C (Figure 3e). The increase of La was mainly because of the decomposition of lignin side chains [45] and the aromatization of free radical contained aromatic groups, respectively. This was evidenced by FTIR results (Figure 2) indicating complete thermal creaking of lignin side chains occurred at temperature below 800 °C. There was an increasing trend for Lc as the temperature increased from 500 to 1000 °C, but the increase had some up and down fluctuation. Aso et al. also observed that the growth of La was faster than Lc for the thermally treated polyfurfuryl alcohol-derived carbons.

3.2.3. Raman

Raman spectra (Figure 4a) of KL-X samples were deconvoluted into four pseudo-Voigt shaped peaks centered at ~1170, ~1345 (D1 band), 1500 (D3 band), and 1600 cm−1 (G band), respectively. The D1, G, and D3 bands indicated sp2 bonded turbostratic carbon nanocrystallites [46], graphitic carbon nanocrystallites, and amorphous carbon [47], respectively. The band at ~1170 cm−1 was related to ions impurities, i.e., lignin ash, and interstitial defects [15].
In general, the calculated values of AD3/AG and AD/AG had a decreasing trend as temperature increased from 500 to 1000 °C, while there was no predictable pattern in how temperature affected ID3/IG and ID/IG values (Figure 4b,c). The average decreasing rates of AD3/AG and AD/AG were 6.6 × 10−4/°C and 1.46 × 10−3/°C from 500 to 1000 °C. These decreases confirmed the reduction of the amorphous carbon fraction [47] and the increased structural ordering of the KL-X samples [48]. The calculated La-A values increased with the rise in temperature from 500 to 1000 °C, however, there was no increasing trend observed for La-I values with the rise of temperature (Figure 4d). The increasing trend of La-A values matching to XRD results suggested that AD/AG is more suitable for calculation of La than ID/IG when used for KL-X samples’ structure parameter calculation. This observation was different from the report from Cançado et al. indicating that ID/IG is more suitable for La calculation than AD/AG for disorder carbon materials [31].

3.2.4. HRTEM

The negative bright-field HRTEM images of KL-X samples (Figure 5a–f) illustrated that bright fringes were nano-graphene layers, and dark spots were structure defects and nanopores. The length of fringes represented the lateral size of nano-graphene (La). The HRTEM images also show that the arrangement of fringe was nondirective, and the longer fringes are more likely intertwined together. Figure 5g–l shows the corresponding skeletonized HRTEM images of KL-X samples. Table 1 summarizes the average fringe length values of KL-X samples measured and calculated using the ImageJ software. The average fringe length was increased as temperature increased from 500 to 900 °C, while it decreased at 1000 °C. This phenomenon was probably because of the growth of nano-graphene fringes was nondirective, and the fringes were intertwined together. Two across fringes in HRTEM image was considered to be four respective fringes by ImageJ software, and which resulted in the calculated length shorter than its actual length (especially for the large fringes).
All characterization techniques show that La values increased with the temperature. However, the La values calculated from each of three techniques differ. The difference in the La values is partly because of the difference in theories and principles on which these techniques are based [49]. The HRTEM method determines the graphene layer size, while the XRD and Raman values determine the carbon nanocrystallite sizes. Logically, the La value calculated from the Raman technique should be close to the XRD technique and smaller than the HRTEM technique. However, the difference in La values calculated from XRD and Raman techniques is probably because of the difference in the principles of XRD and Raman spectra. The La value calculated by the HRTEM technique was smaller than the XRD technique for KL-700, KL-800, KL-900, and KL-1000, this was because high temperature treated samples (700 to 1000 °C) contains more intertwined graphene layers, and their length was underestimated during the image processing process.

3.2.5. Thermal Stability

TG and DTG curves of KL-X samples at a heating rate of 10 °C/min under an air flow are shown in Figure 6a,b, respectively. The peak of a mass loss rate shows in DTG curve (DTG peak) was located in a broad temperature region (between 533 and 663 °C).
The DTG peak temperature of KL-X samples was plotted versus the thermal treatment temperature of KL samples (Figure 6c). As the thermal treatment temperature of lignin increased from 500 to 800 °C, the DTG peak temperature increased from 558.4 to 662.1 °C, suggested the thermal stability of KL-X samples increased with the rise of temperature from 500 to 800 °C. This was because KL-X samples treated at a higher temperature contained less amorphous carbon. KL-900 and KL-1000 samples had lower DTG peak temperatures than KL-800, KL-700, and KL-600 samples, suggesting that KL samples treated at a higher temperature were less stable for thermal oxidation if compared to a lower temperature. This phenomenon can be attributed to KL-900 and KL-1000 containing more nanopores in their structures, as described in our XRD results. Xie et al. reported that carbons in organosolv lignin treated at 1000 °C contained a significantly higher amount of nanopores (2~75 nm in diameter) than those treated at 700 °C [41]. Aso et al. reported that carbons derived from heat treating polyvinyl chloride (PVC) and polyfurfuryl alcohol (PFA) at 1000 °C had a lower oxidative decomposition peak temperature than those at 900 °C [25]. Ruiz-Rosas et al. investigated the oxidation resistance of lignin-based carbon fiber with and without platinum, they found carbon fiber without platinum produced at the temperature of 1000 °C had lower oxidation resistance than that of 900 °C, and this was because of the development of nanopores and surface area at 1000 °C [15]. Besides, the presence of platinum decreases the oxidation resistance of lignin-based carbon fiber because platinum widened the nanopore structure of carbon fiber [15]. KL is an oxygen-rich aromatic compound compared to PVC and PVA materials. Therefore, more nanopores can be developed during thermal treatment. In addition, the presence of inorganic ash in KL can also lead to the development nanopores at high temperatures (900 to 1000 °C).

3.3. Carbon Nanostructure Model of KL-X

A carbon nanostructure model (Figure 7) was proposed to describe the structural components in KL-X samples based on above characterization results. The model consisted of carbon nanocrystallites, amorphous carbon, and nanopores. The carbon nanocrystallites is a series of turbostratic stacked nano-graphene layers with many aliphatic side chains attached on their edges [12,50]. The amorphous carbon was a mixture of randomly hybridized non-aromatic carbon atoms trapped in carbon nanocrystallites. The nanopores spread within the carbon nanocrystallites and amorphous carbon mixture.

4. Conclusions

The carbon nanostructure of KL thermally treated at 500 to 1000 °C was quantitatively analyzed. A nanostructure model was proposed for thermally treated KL. The structural ordering of thermally treated KL increased with the rise of heating temperature from 500 to 1000 °C. The increased structural ordering of thermally treated KL samples led to the reduction of their oxidation activity in the temperature range from 500 to 800 °C, while the development of nanopores in thermally treated KL samples resulted in the rise of their oxidation activity in the temperature range from 800 to 1000 °C.

Acknowledgments

This work was supported by the USDA Forest Service through Grant No. 16-JV-11111124-075. The authors would like to acknowledge Domtar Corp., North Carolina for providing Bio-Choice lignin for this study and Rooban Venkatesh K G Thirumalai and I-Wei Chu (Institute of Imaging and Analytical Technology, the Mississippi State University) for their assistance in characterization instruments. This manuscript is publication #SB915 of the Forest and Wildlife Research Center, Mississippi State University.

Author Contributions

Xuefeng Zhang contributed to the overall process of the experiment design, characterization, data analysis, and the manuscript drafting. Qiangu Yan, Weiqi Leng, Jinghao Li, and El Barbary Hassan conducted the thermal treatment, Raman, and TGA analysis experiments, reviewed the draft, and made comments. Jilei Zhang and Zhiyong Cai supervised the whole project, reviewed the draft, and made comments.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Beauchet, R.; Monteil-Rivera, F.; Lavoie, J.M. Conversion of lignin to aromatic-based chemicals (L-chems) and biofuels (L-fuels). Bioresour. Technol. 2012, 121, 328–334. [Google Scholar] [CrossRef] [PubMed]
  2. Saini, J.K.; Saini, R.; Tewari, L. Lignocellulosic agriculture wastes as biomass feedstocks for second-generation bioethanol production: Concepts and recent developments. 3 Biotech 2015, 5, 337–353. [Google Scholar] [CrossRef] [PubMed]
  3. Biswas, B.; Singh, R.; Kumar, J.; Khan, A.A.; Krishna, B.B.; Bhaskar, T. Slow pyrolysis of prot, alkali and dealkaline lignins for production of chemicals. Bioresour. Technol. 2016, 213, 319–326. [Google Scholar] [CrossRef] [PubMed]
  4. Zhang, X.; Yan, Q.; Hassan, E.B.; Li, J.; Cai, Z.; Zhang, J. Temperature effects on formation of carbon-based nanomaterials from kraft lignin. Mater. Lett. 2017, 203, 42–45. [Google Scholar] [CrossRef]
  5. Satheesh Kumar, M.N.; Mohanty, A.K.; Erickson, L.; Misra, M. Lignin and its applications with polymers. J. Biobased Mater. Bioenergy 2009, 3, 1–24. [Google Scholar] [CrossRef]
  6. Stewart, D. Lignin as a base material for materials applications: Chemistry, application and economics. Ind. Crops Prod. 2008, 27, 202–207. [Google Scholar] [CrossRef]
  7. Mahmood, N.; Yuan, Z.; Schmidt, J.; Charles Xu, C. Production of polyols via direct hydrolysis of kraft lignin: Effect of process parameters. Bioresour. Technol. 2013, 139, 13–20. [Google Scholar] [CrossRef] [PubMed]
  8. Tejado, A.; Peña, C.; Labidi, J.; Echeverria, J.M.; Mondragon, I. Physico-chemical characterization of lignins from different sources for use in phenol-formaldehyde resin synthesis. Bioresour. Technol. 2007, 98, 1655–1663. [Google Scholar] [CrossRef] [PubMed]
  9. Ben, H.; Ragauskas, A.J. Comparison for the compositions of fast and slow pyrolysis oils by NMR characterization. Bioresour. Technol. 2013, 147, 577–584. [Google Scholar] [CrossRef] [PubMed]
  10. Suhas; Carrott, P.J.M.; Ribeiro Carrott, M.M.L. Lignin—From natural adsorbent to activated carbon: A review. Bioresour. Technol. 2007, 98, 2301–2312. [Google Scholar] [CrossRef] [PubMed]
  11. Frank, E.; Steudle, L.M.; Ingildeev, D.; Spörl, J.M.; Buchmeiser, M.R. Carbon fibers: Precursor systems, processing, structure, and properties. Angew. Chem. Int. Ed. 2014, 53, 5262–5298. [Google Scholar] [CrossRef] [PubMed]
  12. Franklin, R.E. Crystallite growth in graphitizing and non-graphitizing carbons. Proc. R. Soc. Lond. Math. Phys. Eng. Sci. 1951, 209, 196–218. [Google Scholar] [CrossRef]
  13. Shim, H.-S.; Hurt, R.H.; Yang, N.Y.C. A methodology for analysis of 002 lattice fringe images and its application to combustion-derived carbons. Carbon 2000, 38, 29–45. [Google Scholar] [CrossRef]
  14. Rodríguez-Mirasol, J.; Cordero, T.; Rodríguez, J.J. High-temperature carbons from kraft lignin. Carbon 1996, 34, 43–52. [Google Scholar] [CrossRef]
  15. Ruiz-Rosas, R.; Bedia, J.; Lallave, M.; Loscertales, I.G.; Barrero, A.; Rodríguez-Mirasol, J.; Cordero, T. The production of submicron diameter carbon fibers by the electrospinning of lignin. Carbon 2010, 48, 696–705. [Google Scholar] [CrossRef]
  16. Huang, S.; Zhou, L.; Li, M.-C.; Wu, Q.; Kojima, Y.; Zhou, D. Preparation and Properties of Electrospun Poly (Vinyl Pyrrolidone)/Cellulose Nanocrystal/Silver Nanoparticle Composite Fibers. Materials 2016, 9, 523. [Google Scholar] [CrossRef] [PubMed]
  17. Lu, L.; Sahajwalla, V.; Kong, C.; Harris, D. Quantitative X-ray diffraction analysis and its application to various coals. Carbon 2001, 39, 1821–1833. [Google Scholar] [CrossRef]
  18. Zickler, G.A.; Smarsly, B.; Gierlinger, N.; Peterlik, H.; Paris, O. A reconsideration of the relationship between the crystallite size La of carbons determined by X-ray diffraction and Raman spectroscopy. Carbon 2006, 44, 3239–3246. [Google Scholar] [CrossRef]
  19. Sharma, R.K.; Wooten, J.B.; Baliga, V.L.; Lin, X.; Geoffrey Chan, W.; Hajaligol, M.R. Characterization of chars from pyrolysis of lignin. Fuel 2004, 83, 1469–1482. [Google Scholar] [CrossRef]
  20. Cao, J.; Xiao, G.; Xu, X.; Shen, D.; Jin, B. Study on carbonization of lignin by TG-FTIR and high-temperature carbonization reactor. Fuel Process. Technol. 2013, 106, 41–47. [Google Scholar] [CrossRef]
  21. Sharma, A.; Kyotani, T.; Tomita, A. A new quantitative approach for microstructural analysis of coal char using HRTEM images. Fuel 1999, 78, 1203–1212. [Google Scholar] [CrossRef]
  22. Yang, J.; Cheng, S.; Wang, X.; Zhang, Z.; Liu, X.; Tang, G. Quantitative analysis of microstructure of carbon materials by HRTEM. Trans. Nonferrous Met. Soc. China 2006, 16 (Suppl. 2), s796–s803. [Google Scholar] [CrossRef]
  23. Yehliu, K.; Vander Wal, R.L.; Boehman, A.L. A comparison of soot nanostructure obtained using two high resolution transmission electron microscopy image analysis algorithms. Carbon 2011, 49, 4256–4268. [Google Scholar] [CrossRef]
  24. Yehliu, K.; Vander Wal, R.L.; Boehman, A.L. Development of an HRTEM image analysis method to quantify carbon nanostructure. Combust. Flame 2011, 158, 1837–1851. [Google Scholar] [CrossRef]
  25. Aso, H.; Matsuoka, K.; Sharma, A.; Tomita, A. Structural analysis of PVC and PFA carbons prepared at 500–1000 °C based on elemental composition, XRD, and HRTEM. Carbon 2004, 42, 2963–2973. [Google Scholar] [CrossRef]
  26. Li, Y.; Hu, Y.-S.; Li, H.; Chen, L.; Huang, X. A superior low-cost amorphous carbon anode made from pitch and lignin for sodium-ion batteries. J. Mater. Chem. A 2016, 4, 96–104. [Google Scholar] [CrossRef]
  27. American Society for Testing and Materials. ASTM D1102-84(2007). Standard Test Method for Ash in Wood; ASTM International: West Conshohocken, PA, USA, 2007. [Google Scholar]
  28. Pope, C.G. X-Ray Diffraction and the Bragg Equation. J. Chem. Educ. 1997, 74, 129. [Google Scholar] [CrossRef]
  29. Sonibare, O.O.; Haeger, T.; Foley, S.F. Structural characterization of Nigerian coals by X-ray diffraction, Raman and FTIR spectroscopy. Energy 2010, 35, 5347–5353. [Google Scholar] [CrossRef]
  30. Zhang, X. Synthesis and Characterization of Carbon-Based Nanomaterials from Lignin; Mississippi State University: Starkville, MS, USA, 2016. [Google Scholar]
  31. Cançado, L.G.; Jorio, A.; Ferreira, E.H.M.; Stavale, F.; Achete, C.A.; Capaz, R.B.; Moutinho, M.V.O.; Lombardo, A.; Kulmala, T.S.; Ferrari, A.C. Quantifying defects in graphene via Raman spectroscopy at different excitation energies. Nano Lett. 2011, 11, 3190–3196. [Google Scholar] [CrossRef] [PubMed]
  32. Vander Wal, R.L.; Tomasek, A.J.; Street, K.; Hull, D.R.; Thompson, W.K. Carbon nanostructure examined by lattice fringe analysis of high-resolution transmission electron microscopy mages. Appl. Spectrosc. 2004, 58, 230–237. [Google Scholar] [CrossRef] [PubMed]
  33. Luo, Y.; Guda, V.K.; Hassan, E.B.; Steele, P.H.; Mitchell, B.; Yu, F. Hydrodeoxygenation of oxidized distilled bio-oil for the production of gasoline fuel type. Energy Convers. Manag. 2016, 112, 319–327. [Google Scholar] [CrossRef]
  34. Pandey, K.K. A study of chemical structure of soft and hardwood and wood polymers by FTIR spectroscopy. J. Appl. Polym. Sci. 1999, 71, 1969–1975. [Google Scholar] [CrossRef]
  35. Yang, H.; Yan, R.; Chen, H.; Lee, D.H.; Zheng, C. Characteristics of hemicellulose, cellulose and lignin pyrolysis. Fuel 2007, 86, 1781–1788. [Google Scholar] [CrossRef]
  36. Luo, Y.; Hassan, E.B.; Guda, V.; Wijayapala, R.; Steele, P.H. Upgrading of syngas hydrotreated fractionated oxidized bio-oil to transportation grade hydrocarbons. Energy Convers. Manag. 2016, 115, 159–166. [Google Scholar] [CrossRef]
  37. Luo, Y.; Guda, V.K.; Steele, P.H.; Wan, H. Hydrodeoxygenation of Oxidized and Hydrotreated Bio-oils to Hydrocarbons in Fixed-bed Continuous Reactor. BioResources 2016, 11, 4415–4431. [Google Scholar] [CrossRef]
  38. Bassilakis, R.; Carangelo, R.M.; Wójtowicz, M.A. TG-FTIR analysis of biomass pyrolysis. Fuel 2001, 80, 1765–1786. [Google Scholar] [CrossRef]
  39. Wang, S.; Lin, H.; Ru, B.; Sun, W.; Wang, Y.; Luo, Z. Comparison of the pyrolysis behavior of pyrolytic lignin and milled wood lignin by using TG-FTIR analysis. J. Anal. Appl. Pyrolysis 2014, 108, 78–85. [Google Scholar] [CrossRef]
  40. Wang, S.; Wang, K.; Liu, Q.; Gu, Y.; Luo, Z.; Cen, K.; Fransson, T. Comparison of the pyrolysis behavior of lignins from different tree species. Biotechnol. Adv. 2009, 27, 562–567. [Google Scholar] [CrossRef] [PubMed]
  41. Xie, X.; Goodell, B.; Zhang, D.; Nagle, D.C.; Qian, Y.; Peterson, M.L.; Jellison, J. Characterization of carbons derived from cellulose and lignin and their oxidative behavior. Bioresour. Technol. 2009, 100, 1797–1802. [Google Scholar] [CrossRef] [PubMed]
  42. Mun, S.P.; Cai, Z.; Zhang, J. Fe-catalyzed thermal conversion of sodium lignosulfonate to graphene. Mater. Lett. 2013, 100, 180–183. [Google Scholar] [CrossRef]
  43. Meynen, V.; Cool, P.; Vansant, E.F. Verified syntheses of mesoporous materials. Microporous Mesoporous Mater. 2009, 125, 170–223. [Google Scholar] [CrossRef]
  44. Li, Z.Q.; Lu, C.J.; Xia, Z.P.; Zhou, Y.; Luo, Z. X-ray diffraction patterns of graphite and turbostratic carbon. Carbon 2007, 45, 1686–1695. [Google Scholar] [CrossRef]
  45. Odeh, A.O. Comparative study of the aromaticity of the coal structure during the char formation process under both conventional and advanced analytical techniques. Energy Fuels 2015, 29, 2676–2684. [Google Scholar] [CrossRef]
  46. Paris, O.; Zollfrank, C.; Zickler, G.A. Decomposition and carbonisation of wood biopolymers—A microstructural study of softwood pyrolysis. Carbon 2005, 43, 53–66. [Google Scholar] [CrossRef]
  47. Ishimaru, K.; Hata, T.; Bronsveld, P.; Nishizawa, T.; Imamura, Y. Characterization of sp2- and sp3-bonded carbon in wood charcoal. J. Wood Sci. 2007, 53, 442–448. [Google Scholar] [CrossRef]
  48. Childres, I.; Jauregui, L.A.; Park, W.; Cao, H.; Chen, Y.P. Raman spectroscopy of graphene and related materials. In New Developments in Photon and Materials Research; Jang, J.I., Ed.; Nova Science Publishers: Hauppauge, NY, USA, 2013; ISBN 978-1-62618-339-1. [Google Scholar]
  49. Aso, H.; Matsuoka, K.; Sharma, A.; Tomita, A. Evaluation of size of graphene sheet in anthracite by a temperature-programmed oxidation method. Energy Fuels 2004, 18, 1309–1314. [Google Scholar] [CrossRef]
  50. McDonald-Wharry, J.S.; Manley-Harris, M.; Pickering, K.L. Reviewing, Combining, and Updating the Models for the Nanostructure of Non-Graphitizing Carbons Produced from Oxygen-Containing Precursors. Energy Fuels 2016, 30, 7811–7826. [Google Scholar] [CrossRef]
Figure 1. Thermal analysis of KL (a) KL-X yield at different temperatures; (b) TG and DTG curves.
Figure 1. Thermal analysis of KL (a) KL-X yield at different temperatures; (b) TG and DTG curves.
Materials 10 00975 g001
Figure 2. Fourier transform infrared (FTIR) spectra of KL-X samples.
Figure 2. Fourier transform infrared (FTIR) spectra of KL-X samples.
Materials 10 00975 g002
Figure 3. X-ray diffraction (XRD) analysis of KL-X samples: (a) wide angle (2θ = 3~120°) XRD patterns; and (b) reduced intensity XRD patterns; (ce) the influence of heating temperature on the structural parameters of KL-X samples; (c) aromaticity fa and amorphous carbon fraction Xa; (d) interlayer spacing d002; and (e) nanocrystallite lateral size La and thickness Lc.
Figure 3. X-ray diffraction (XRD) analysis of KL-X samples: (a) wide angle (2θ = 3~120°) XRD patterns; and (b) reduced intensity XRD patterns; (ce) the influence of heating temperature on the structural parameters of KL-X samples; (c) aromaticity fa and amorphous carbon fraction Xa; (d) interlayer spacing d002; and (e) nanocrystallite lateral size La and thickness Lc.
Materials 10 00975 g003
Figure 4. Raman analysis of KL-X samples: (a) Raman spectra for KL-X samples; (bd) the influence of heating temperature on the structural parameters of KL-X samples; (b) the area and height ratio ID3/IG of the D3 and G bands; (c) the area and height ratio ID/IG of the D and G bands; and (d) the nanocrystallite lateral size La calculated from area and height intensity of D and G bands.
Figure 4. Raman analysis of KL-X samples: (a) Raman spectra for KL-X samples; (bd) the influence of heating temperature on the structural parameters of KL-X samples; (b) the area and height ratio ID3/IG of the D3 and G bands; (c) the area and height ratio ID/IG of the D and G bands; and (d) the nanocrystallite lateral size La calculated from area and height intensity of D and G bands.
Materials 10 00975 g004
Figure 5. High-resolution transmission electron microscopy (HRTEM) analysis of KL-X samples: the negative HRTEM images of (a) KL-500; (b) KL-600; (c) KL-700; (d) KL-800; (e) KL-900; (f) KL-1000 showing the morphologies of nano-graphene layers; and (gl) are the corresponding skeletonized HRTEM images showing the arrangements and lateral size La of nano-graphene layers. The size bars represent 5 nm.
Figure 5. High-resolution transmission electron microscopy (HRTEM) analysis of KL-X samples: the negative HRTEM images of (a) KL-500; (b) KL-600; (c) KL-700; (d) KL-800; (e) KL-900; (f) KL-1000 showing the morphologies of nano-graphene layers; and (gl) are the corresponding skeletonized HRTEM images showing the arrangements and lateral size La of nano-graphene layers. The size bars represent 5 nm.
Materials 10 00975 g005
Figure 6. Thermal stability analysis of KL-X samples: (a) mass loss TG and (b) mass loss rate DTG curves of KL-X samples oxidized in air atmosphere; and (c) and influence of KL-X samples production temperature on its DTG peak temperature.
Figure 6. Thermal stability analysis of KL-X samples: (a) mass loss TG and (b) mass loss rate DTG curves of KL-X samples oxidized in air atmosphere; and (c) and influence of KL-X samples production temperature on its DTG peak temperature.
Materials 10 00975 g006
Figure 7. Schematic image of the carbon nanostructure model of KL-X samples. The KL-X samples consisted of carbon nanocrystallites, amorphous carbon, and nanopores. The nanocrystallites consisted of 2–4 layers of turbostratic stacked nano-graphene. The lateral size, thickness, and interlayer space of nano-graphene are La, Lc, and d002, respectively.
Figure 7. Schematic image of the carbon nanostructure model of KL-X samples. The KL-X samples consisted of carbon nanocrystallites, amorphous carbon, and nanopores. The nanocrystallites consisted of 2–4 layers of turbostratic stacked nano-graphene. The lateral size, thickness, and interlayer space of nano-graphene are La, Lc, and d002, respectively.
Materials 10 00975 g007
Table 1. Element analysis results of Kraft lignin (KL).
Table 1. Element analysis results of Kraft lignin (KL).
CHONPKCaMgSFeMnZnCuB
(%)(ppm)
63.005.7830.790.170.020.070.040.010.12192716119
Table 2. Calculated structural parameters of KL-X samples from XRD, Raman, and HRTEM analysis.
Table 2. Calculated structural parameters of KL-X samples from XRD, Raman, and HRTEM analysis.
SampleXRDRamanHRTEM
Xa (%)fa (%)d002 (Å)Lc (nm)La (nm)AD3/AGID3/IGAD/AGID/IGLa,ALa,ILa (nm)
(nm)
KL-50090493.560.840.700.550.332.701.223.244.060.71
KL-60090633.550.820.770.620.312.681.203.384.140.79
KL-70086733.520.871.010.440.332.471.303.933.800.86
KL-80085763.490.841.310.460.382.411.483.963.340.94
KL-90084783.490.881.350.220.202.111.244.214.001.06
KL-100079793.490.861.400.220.291.972.294.483.830.99

Share and Cite

MDPI and ACS Style

Zhang, X.; Yan, Q.; Leng, W.; Li, J.; Zhang, J.; Cai, Z.; Hassan, E.B. Carbon Nanostructure of Kraft Lignin Thermally Treated at 500 to 1000 °C. Materials 2017, 10, 975. https://0-doi-org.brum.beds.ac.uk/10.3390/ma10080975

AMA Style

Zhang X, Yan Q, Leng W, Li J, Zhang J, Cai Z, Hassan EB. Carbon Nanostructure of Kraft Lignin Thermally Treated at 500 to 1000 °C. Materials. 2017; 10(8):975. https://0-doi-org.brum.beds.ac.uk/10.3390/ma10080975

Chicago/Turabian Style

Zhang, Xuefeng, Qiangu Yan, Weiqi Leng, Jinghao Li, Jilei Zhang, Zhiyong Cai, and El Barbary Hassan. 2017. "Carbon Nanostructure of Kraft Lignin Thermally Treated at 500 to 1000 °C" Materials 10, no. 8: 975. https://0-doi-org.brum.beds.ac.uk/10.3390/ma10080975

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop