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Accepted Manuscript Investigating pyrolysis characteristics of moso bamboo through TG-FTIR and Py-GC/MS Fang Liang, Ruijuan Wang, Xiang Hongzhong, Xia...

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Accepted Manuscript Investigating pyrolysis characteristics of moso bamboo through TG-FTIR and Py-GC/MS Fang Liang, Ruijuan Wang, Xiang Hongzhong, Xiaomeng Yang, Tao Zhang, Wanhe Hu, Bingbing Mi, Zhijia Liu PII: DOI: Reference:

S0960-8524(18)30162-7 https://doi.org/10.1016/j.biortech.2018.01.140 BITE 19497

To appear in:

Bioresource Technology

Received Date: Revised Date: Accepted Date:

4 January 2018 29 January 2018 30 January 2018

Please cite this article as: Liang, F., Wang, R., Hongzhong, X., Yang, X., Zhang, T., Hu, W., Mi, B., Liu, Z., Investigating pyrolysis characteristics of moso bamboo through TG-FTIR and Py-GC/MS, Bioresource Technology (2018), doi: https://doi.org/10.1016/j.biortech.2018.01.140

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Investigating pyrolysis characteristics of moso bamboo through TG-FTIR and Py-GC/MS Fang Liang, Ruijuan Wang, Xiang Hongzhong, Xiaomeng Yang, Tao Zhang, Wanhe Hu, Bingbing Mi, Zhijia Liu*

International Centre for Bamboo and Rattan, Beijing, China, 100102

#Co-First Author: Ruijuan Wang, equal contributor as first author

Corresponding author: Dr. Zhijia Liu, [email protected], Tel: 86-10-84789869

Abstract: This study was carried out to investigate pyrolysis characteristics of moso bamboo (Phyllostachys pubescens), including outer layer (OB), middle layer (MB) and inner layer (IB) and bamboo leaves (BL), through TG-FTIR and Py-GC/MS. The results showed that 70% of weight loss occurred at rapid pyrolysis stage with temperature of 200-400 . With increase in heating rate, pyrolysis process shifted toward higher temperature. IB, OB, MB and BL had a different activation energy at different conversion rates. BL had a higher activation energy than IB, OB and MB. The volatiles of bamboo was complicated with 2-30 of C atoms. IB, OB and MB mainly released benzofuran, hydroxyacetaldehyde and 2-Pentanone. BL released furan, acetic acid and phenol. The main pyrolysis products included H2O, CH4, CO2, CO, carboxylic acids, NO, NO2. Pyrolysis products of IB was the most and that of BL was the lowest. MB had the lowest pyrolysis temperature. Keywords: Moso bamboo; Pyrolysis; Kinetic; TG-FTIR; Py-GC/MS.

1. Introduction 1

Biomass is one of renewable energy sources that can be converted into gas, liquid and solid-state energy products. Development and utilization of biomass energy can contribute to improving the world's energy consumption and reducing greenhouse gas emissions (Mekhilef et al., 2011). In China, moso bamboo is seen as one of important biomass resources due to its rich cultivation, covering a wide area and the high economic value. It has widely been used in some fields such as construction, handicrafts, furniture, man-made board and papermaking, etc (Erfa et al., 2001). The utilization percentage of bamboo for most industrial products is lower than 50%. So there are a lot of wastes during processing, which has great potential as a bio-energy resource of the future. Biomass can be converted to high energy density products and high value-added chemicals through pyrolysis technology (Mohan et al. 2006). It was confirmed that many factors have an effect on biomass pyrolysis, such as biomass types, pyrolysis temperature and pyrolysis reactors, etc. Chen et al. (2018) found that H2 was the main component and the yield of CH4 and CO decreased at higher temperature zone during bamboo pyrolysis. Lo et al. (2017) reported that the main gas product of straw, rice husk, corn stalks, bagasse, sugar cane bark, waste coffee grounds and bamboo leaves were H2 (18-25vol%), CH4 (6-8vol%), CO (51-59vol%), and CO2 (10-14vol%). Pyrolysis behavior could also be characterized by kinetic parameters associated with the decomposition reaction, the activation energy, and pre-exponential factor (Dhyani et al. 2018). Yu et al. (2015) found that pretreatment with echinodontium taxodii reduced the negative impact of bamboo extractives on pyrolysis and pretreated sample had a lower activation energy. Chen et al. (2014) confirmed that activation energy of bamboo increased with increase in heating rate and heating rate had different effects on the pyrolysis products, including biochar, bio-oil and non-condensable gas. Bamboo is divided into out layer (OB), middle layer (MB) and inner layer (IB) due to different physical and chemical performances, which affect pyrolysis characteristics of bamboo. Liu et al. (2016) found that the main polar chemical groups of OB included hydroxyl group and ester carbonyl. Some new polar chemical groups, such 2

as aromatic ethers and phenolic hydroxyl, appeared on the IB surface. Furthermore, bamboo pyrolysis is a complex process including the simultaneous occurrence of different reactions, such as dehydration, recombination, polymerization and carbonation. To the best of our knowledge, there is the lack of sufficient information concerning pyrolysis characteristics of different part of bamboo. It is very helpful to investigate the pyrolysis behaviors and mechanism of bamboo materials. Thermogravimetric analyzer coupled with other techniques have been used to detect the chemical changes of biomass during pyrolysis process. Harun et al. (2013) used thermogravimetry coupled with mass spectrometry (PY-MS) to determine the gaseous products of agriculture and forestry biomass. They found that the degradation rate of combustible gas was about 20-30% at temperature of 200 and 230 , and the degradation of combustible gases was more than 30% when the temperature increased from 260 to 290 . Chen et al. (2016) investigated the bio-oil chemical composition of pine sawdust by Py-GC/MS and monitored the characteristic of ion fargments (H2, CH4, CO, and CO2). Kozlov et al. (2015) found that radical species concentration in gas produced from biomass gasification was too small to change gas-phase composition significantly. It is confirmed that PY-MS cannot accurately identify the molecular structure when the species have the same mass-to-charge ratio (m/z). Thermogravimetric coupled with Fourier Transform Infrared Spectroscopy (TG-FTIR) can effectively identify the compounds according to their functional groups and covalent bonding (Kai et al., 2017). Chen et al. (2015) used TG-FTIR to analyze the pyrolysis characteristics of moso bamboo and found that the changes in the absorbance of volatiles during pyrolysis agreed with the weight loss in the derivative thermogravimetric curve. Meng et al. (2013) found that the main pyrolysis gaseous products of corn cob, tree root and bagasse were CO2, CO, H2O, CH4, NH3, acid and aldehydes. Due to the complex reaction of pyrolysis process, the combination of Py-GC/MS and TG-FTIR can more accurately identify the gas released in the pyrolysis process. However, there were little information on bamboo pyrolysis, determined by the combination of Py-GC/MS and TG-FTIR, especially for OB, MB, 3

IB and bamboo leaves (BL). In this paper, pyrolysis characteristics of OB, MB, IB and BL were therefore determined through Py-GC/MS and TG-FTIR. The objective is to get pyrolysis information of moso bamboo with different parts and provided a theoretical guidelines to design manufacturing process of bio-energy from moso bamboo by thermal chemical conversion methods. 2. Material and methods 2.1 Material Moso bamboo aged 4 years old was taken from a bamboo plantation located in Zejiang Province, China. Bamboo tubes were cut off to 25 mm (longitudinal) by 4 mm (radial). OB was taken from out layer of bamboo with 1mm thickness and IB was taken from inner layer of bamboo with 1mm. Other residues were MB, which was cut off to 25mm (longitudinal) by 1mm (radial) by 1mm (tangential). BL was taken from the same bamboo. OB, MB, IB and BL were respectively broken down into particles using a Wiley mill and the size of bamboo particles was about 250-425µm. They were dried at temperature 105

until their mass stabilized.

2.2 The determination of pyrolysis characteristics Pyrolysis characteristics were observed in terms of global mass loss though TA Instrument TGA Q 500 thermogravimetric analyzer (TA Instrument, USA) under the nitrogen atmosphere. 5-8 mg samples were evenly and loosely distributed in an open pan. Pyrolysis temperature was controlled from room temperature (30±5 ) to 800 with heating rates of 10 /min, 20 /min, 30 /min, 40 /min. The high purity nitrogen flow rate of 60 mL/min was continuously passed into the furnace to prevent any unwanted oxidative decomposition. Three replicates of each TGA experiment were performed. 2.3 Kinetic model The fundamental rate equation used in all kinetics studies is generally described as: 4

dα = kf (α ) dt

(1)

Where, k is the rate constant and f(α) is the reaction model, a function depending on the actual reaction mechanism. Eq. (1) expresses the rate of conversion, dα/dt at a constant temperature as a function of the reactant conversion loss and rate constant. In this study, the conversion rate α is defined as:

α=

(w 0 - wt ) (w 0 - wf )

(2)

Where, wt, w0 and wf are time t, initial and final weight of the sample, respectively. The rate constant k is generally given by the Arrhenius equation:

 - Ea  k = Aexp   RT 

(3)

Where, Ea is the apparent activation energy (kJ/mol), R is the gas constant (8.314 J/K mol), A is the pre-exponential factor (min-1), T is the absolute temperature (K). The combination of Eqs. (1) and (3) gives the following relationship: dα  - Ea  = Aexp f (α ) dt  RT 

(4)

For a dynamic TGA process, including the heating rate, β=dT/dt, into Eq. (4), Eq. (5) is obtained as: d α  A   - Ea  =  exp f (α ) dT  β   RT 

(5)

Eqs. (4) and (5) are the fundamental expressions of analytical methods to calculate kinetic parameters on the basis of TGA data. Flynn-Wall-Ozawa (FWO) method was used in this research, showed in Equation (6). As a representative model of the model-free kinetic model, which had high applicability to biomass pyrolysis (Ma et al., 2015; Apaydin-Varol et al., 2014). 5

 A ⋅ Ea  0.4567 ⋅ Ea  − 2.315 − log( βi ) = log R ⋅ Tα , i  R ⋅ g(α ) 

(6)

Where, g(α) is usually constant and based on the integral reaction model at a specific conversion rate, so the formula: g(α)=α/(1-α), only consider the first order of the study. 2.4 The determination of pyrolysis compounds The thermogravimetric analyzer (CDS5200, USA) coupled with a quadrupole mass spectrometer (Agilent 6890N/5973i, USA) to investigate the distribution of volatiles from bamboo pyrolysis against reaction temperature. About 10 ± 0.02 mg of samples was loaded in the pyrolysis tube and the pyrolysis temperature was controlled from room temperature (30±5 ) to 500

at a heating rate of 10 /min. The dwelling

time of samples at temperature of 500

was set to be 3.0 min in order to ensure that

most of the solid sample was pyrolyzed. A high purity nitrogen stream (flow rate of 60 mL/min) was continuously passed into the furnace. The evolved volatiles were identified by GC/MS with the conditions given as: the injector temperature was kept at 280℃; the chromatographic separation was performed with a TR-35MS capillary column; the mass spectra were operated in electron ionization (EI) mode at 70 eV. The mass spectra were obtained from m/z 50 to 650. The yield of the compounds can be determined by the characterized GC/MS spectrums, according to the database of NIST library. Three replicates of each experiment were performed. 2.5 The determination of volatile gas TG-FTIR test was carried out using a combination of thermogravimetry (TA Instrument, USA) and Fourier transform infrared spectrometer (Bruker IFS 66/S, Bruker Optics, Billerrica, MA). Samples of 20±0.02mg were placed into crucible and heated from room temperature (30±5 ) to 800

at a heating rate of 10 /min. High

purity nitrogen as a purge and protective gas at a flow rate of 60ml/min. The sample pan was placed close to the end of the furnace, which combined with the high gas 6

flow to minimize the residence time of the evolved gases in the hot zone. To avoid liquefaction of the volatile gas when it passed through the capillary bundle, the temperature of the capillary bundle were heated to 250 . The system collected FTIR spectra every 30s and sample temperature and mass were logged every 3s. FTIR spectrum was collected in the range of 4000-400cm-1 at a resolution of 4cm-1. Three replicates of each experiment were performed. 3. Results and discussion 3.1 Pyrolysis characteristics Fig. 1 showed the TG and DTG curves of IB, MB, OB and BL at different

heating rates. There were three stages during pyrolysis process of samples. The pyrolysis temperature of lower than 200

was the first stage and weight loss was

mainly due to the evaporation of water in the bamboo and the release of a small amount of volatiles (Biswas et al., 2017). The main weight loss occurred at the second stage corresponding to pyrolysis temperature of 200-400 . The weight loss was about 70% of total sample weight, which was attributed to thermal degradation of volatiles, cellulose, hemicelluloses and partial lignin. Wang et al. (2018) found that cellulose pyrolysis mainly occurred at 300-400 , hemicellulose pyrolysis mainly occurred at 200-300

and lignin pyrolysis was from 200

until the end of pyrolysis process. It

was also found three small significant peaks in the DTG curve, corresponding to thermal degradation of protein, carbohydrate and lipid from three main chemical components of samples (Shuping et al., 2010). The three stage occurred at temperature of higher than 400

and weight loss was due to the slowly thermal

decomposition of fixed carbon. Fig. 1 showed that the pyrolysis curves of all samples shifted toward the higher temperature with increase in heating rates. This phenomenon is mainly attributed to uneven heating of sample particles (Maiti et al., 2007). Table 1 showed pyrolysis characteristics of IB, MB, OB and BL at heating rate

of 10 /min. Other pyrolysis characteristics at heating rate of 20 /min, 30 /min and 7

40 /min were not showed because they had a similar change trend with heating rate of 10 /min. The weight loss of IB, OB, MB, and BLwas 13.2%, 13.1%, 10.9% and 10.3% in the first stage, indicating that the quality of water and volatiles in BL was slightly lower than IB, MB, OB. Liu et al. (2016) found that BL had the lowest content of volatiles compared with OB, MB and IB. Similar, the weight loss of IB, OB, MB and BL was about 70% and the maximum of weight loss rate were 1.003%/ , 1.024%/ , 0.951%/

and 0.64%/ , respecively corresponding to

pyrolysis temperature of 346.1 , 348.1 , 337.9

and 318.4

in the second stage.

The main prolysis temperature range of BL was 237.6-408.5

and its reaction rate

was also the lowest. This phenonmenon was attributed to the difference of chemical components in the samples. Peng et al. (2013) found that BL had a higher H/C and O/C value, resulting in BL was more difficult to pyrolysis. The weight loss of IB, OB, MB, and BL was 6.6%, 8.7%, 5.8% and 9.3% in the three stage, respectively. The residues of IB, MB, OB and BL were 16.7%, 19.4%, 18.5%, 24.9%, respectively. 3.2 Kinetic analysis from FWO model Pyrolysis reaction parameters are helpful to accurately understand the microscopic reactions occurred in the pyrolysis process of biomass. Fig. 2 showed the linear relationship between 1/T and log(βi) at different conversion rates of samples in the FWO model. The linear equations at different conversion rates were nearly parallel, indicating that the activation energy of IB, OB, MB and BL at different conversion rates was approximate (Chen et al., 2014). Table 3 showed kinetic parameters of IB, OB, MB and BL at different conversion rates. The correlation coefficient of the linear relationship (R2 value) was higher, indicating that FWO model was suitable for obtaining activation energy of the samples. The frequency factor (A) can be used to characterize the reaction speed in pyrolysis process. The frequency factor varied at different conversion rates for IB, OB, MB and BL. The maximum of frequency factor corresponded to conversion rate of 0.5, 0.7, 0.6, 0.5 for IB, OB, MB and BL, respectively. The activation energy and frequency factor of all samples including IB, OB, MB and BL had the similar trend with increase in 8

conversion rate. The activation energy of IB varied in the ranges of 128.61-176.73KJ/mol and its maximum of activation energy was found at the conversion rate of 0.5. The activation energy of OB varied in the ranges of 141.02-224.41KJ/mol and its maximum of activation energy was found at the conversion rate of 0.7. The activation energy of MB varied in the ranges of 137.85-160.69KJ/mol and its maximum of activation energy was found at the conversion rate of 0.6. The activation energy of BL varied in the ranges of 159.69-187.56KJ/mol and its maximum of activation energy was found at the conversion rate of 0.5. This phenomenon was mainly related to the chemical composition and sytucture in different parts. Liu et al. (2016) confirmed that IB, OB, MB and BL had different contents of C, H, O, N and S, indicating they had different chemical compositions. Furthmore, three main chemical components were different pyrolysis characteristics. Cellulose is a semi-crystalline sturcture, whose pyrolysis occured from amorphous region to crystalline region. While lignin and hemicellulose are non-crystalline, whose pyrolysis needed lower activation energy than cellulose (Chen et al., 2014). They resulted in the different activation energy at different conversion rates for IB, OB, MB and BL. The lower activation energy indicated that biomass was easier to occur thermo-chemical conversion. Therefore, IB, OB, MB and BL should designed a different thermo-chemical conversion processes when they were used as raw materials to produce bioenergy or biochemicals. 3.2 Py-GC/MS analysis Fig.3 showed pyrolysis products distribution of IB, OB, MB and BL from

Py-GC/MS. There were mainly 6 families of compounds, including aldehyde, furan, phehol, ketone, ester, alcohol and acid. Moso bamboo contained a large number of phenol and a small amount of alcohol. The ketone and acid of MB were significantly lower than IB, OB and BL, but its contents of furan and phenolic compounds were obviously higher than other parts. The contents and types of chemical components of IB, MB, OB and BL had a great impact on these volatiles during pyrolysis process. Collard and Blin (2014) found that the depolymerization of lignin produced various 9

phenols. Hemicellulose mainly produced acetic acid, furfural and hydroxyacetone, etc (Wang et al., 2015). The different chemical compounds of bamboo resulted in different types and levels of volatiles (Sheng et al., 2002). Table 3 showed the typical precipitation materials of moso bamboo at different temperatures. It was confirmed that the composition of the precipitated material was very complicated and the number of C atoms varied from 2 to 30, containing aldehydes, ketones, carboxylic acids, esters, etc. IB, OB and MB mainly contained benzofuran, hydroxyacetaldehyde and 2-Pentanone, etc. However, the precipitated species of BL mainly included furan, acetic acid and phenol, etc. Compared with BL, the content of 2,3-dihydro-coumarone in the main products of IB, OB and MB were the higher, accounting for 11.06%, 9.54% and 6.30% of the total volatiles, respectively. 3-Hydroxy-4-methoxybenzoic acid was also main products of IB, OB and MB, but it was not found in the pyrolysis products of BL. Each part of moso bamboo had the unique product, such as butanoic acid-methyl ester for IB, p-Xylene and propanoic acid for OB, 2-Cyclohexen-1-ol, benzoic acid and 3, 4-dihydroxy- for MB, toluene and D-Limonene for BL. These detected substances with small molecular substances were firstly released due to their low thermal decomposition. With increase in pyrolysis temperature, some volatiles with the macromolecular substances were gradually released. These volatiles were divided into ketones, aldehydes and furans, which mainly come from the cracking, polymerization of lignin and the condensation of cellulose (Huang et al., 2011). It is well known that benzene ring was not easy to open loop in the pyrolysis process, so the organic matter in the product was mainly from Pyran ring opens of glucopyranose monomer and the fracture of C-C bond in the ring. These pyrolysis products could be used as the main intermediate of bioenergy and chemicals (Jimenez et al., 2017). 3.3 TG-FTIR analysis Moso bamboo contains natural macromolecular polymers, such as cellulose, hemicellulose and lignin. These macromolecules occur the reaction of cross-link polymerization and dehydrogenation oxidation in the pyrolysis process, which were often accompanied by the production of small molecule gases (Stefanidis et al., 2014). 10

Fig. 4 showed TG-FTIR spectra of IB, OB, MB and BL at heating rate of 10 /min. It

was found that pyrolysis products of moso bamboo varies greatly with increase in pyrolysis temperature. TG-FTIR spectra of IB, OB, MB and BL had acromion peaks at the temperature range from 100

to 400 . According to the widely used

Lambert-Beer law, the absorption spectrum at a specific wave number was linearly dependent on gas concentration (Gao et al., 2013). Thus, most of the gas was evolved at this temperature range during pyrolysis process of samples. The total intensity of IB was the highest and that of BL was the lowest, which were consistent with the results of Py-GC/MS. It can be determined the species of pyrolysis products based on FTIR spectrum. The absorbance peak at 3356cm-1 corresponded to the release of absorbed water (H2O). The absorbance peak at 2927cm-1 was the release of methane gas (CH4). The absorbance peak at 2359cm-1 indicated the release of carbon dioxide (CO2). The absorbance peak at 2179cm-1 appeared when carbon monoxide (CO) was released. The absorbance peak at 1770cm-1 was attributed to the release of carboxylic acids. The absorbance peak at 1684cm-1 confirmed the release of nitric oxide (NO). The absorbance peak at 1559cm-1was the release of nitrogen dioxide (NO2). The absorbance peak at 1119cm-1 was the release of phenol (Ma et al., 2015). Fig.5 showed the main pyrolysis products of IB, OB, MB and BL as a function

of temperature. MB and IB had the strongest intensity of H2O release, but the peak temperature corresponding to the maximum intensity of H2O release by IB was shifted to higher temperature. H2O released mainly from the evolution of bulk water, bound water and crystallization water in mineral substance in samples. With the temperature increases, the pyrolysis water forms also from the cracking or reaction of oxygen functional groups occurred in sample pyrolysis (Gao et al., 2013). BL contained less water content because it had the lowest intensity of H2O release. The main released temperature range of H2O was 150-350 . Carbon is the main type pf chemical compounds in bamboo. Carbon compounds were released during bamboo pyrolysis such as CH4, CO2 and CO. The evolution of CH4, CO2 and CO was mainly ascribed to the cleavage of functional groups (e.g. methoxyl group, ether group, 11

carboxyl and carbonyl group) and the secondary cracking of those phenolic compounds (Zhao et al., 2014). IB had a the strongest intensity of CH4 release and BL had the lowest intensity of CH4 release. The peak temperature corresponding to the maximum intensity of CH4 release was the lowest for MB. BL had two main release peaks of CH4. A weak peak of CH4 appeared at 500-600

presumably due to the

secondary decomposition of the organic compounds such as aldehydes, alcohols, acids and ketones leading to the breakage of the chains and the reforming reaction. The temperature ranges of CH4 release were 150-350 OB, 150-500

for MB, 150-400

for IB and

for BL. The CO2 was a type of main pyrolysis products for sampels.

The intensity of CO2 release for IB, OB and MB was obviously higher than that of BL. MB had the lowest peak temperature of the maximum CO2 release. It was found that the CO release had a similar trend with CO2 release. With increase in pyrolysis temperature, the peak intensity of CO2 and CO constantly changed. However, C=O and C-O showed acromion at the temperature of 150-350 , which was due to the pyrolysis of aliphatic compounds in hemicellulose (Jiang et al., 2012). The NO and NO2 release occured at the total temperature ranges and the variation was more obviously than other pyrolysis products. MB and IB had a obvious NO and NO2 release peak at temperature of 600-700 . For carboxylic acids and phenol, their release mianly occured at temperature of 150-400

and each sample had two main

peaks. In conclusion, the peak intensity of a specific wavenumber represented the release concentration of pyrolysis products (Granada et al., 2012). The results indicated that pyrolysis products of IB was the most and that of BL was the lowest. MB had the lowest release temperature of all pyrolysis products. 4. Conclusion

The pyrolysis process of IB, OB, MB and BL was similar, but the pyrolysis characteristics were different. With the increase of the heating rate, the pyrolysis process shifted toward higher temperature. IB, OB, MB and BL had a different activation energy at different conversion rates. Temperature had an important impact on the pyrolysis products of moso bamboo. Even though there were mainly 6 families 12

of compounds, including aldehyde, furan, phehol, ketone, ester, alcohol and acid, their distribution of each sampels was different. The main pyrolysis products included H2O, CH4, CO2, CO, carboxylic acids, NO, NO2 and phenol. Acknowledgments

This research was financially supported by ‘13th Five Years Plan-Study on manufacturing technology of bamboo wastes and its mechanism (Grant No. 2016YFD0600906). References

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pubescens Mazel) leaves. Carbohydr. Polym. 95, 262-271. Sheng, Z.Q., Jie, G.M., Lan, J.W., 2002. Variation of Moso Bamboo Chemical Compositions During Mature Growing Period. J. Nanjing Fores. Unvers. 26, 7-10. Stefanidis, S.D., Kalogiannis, K.G., Iliopoulou, E.F., Michailof, C.M., Pilavachi, P.A., Lappas, A.A., 2014. A study of lignocellulosic biomass pyrolysis via the pyrolysis of cellulose, hemicellulose and lignin. J. Anal. Appl. Pyrolysis 105, 143-150. Yu, H., Liu, F., Ke, M., Zhang, X., 2015. Thermogravimetric analysis and kinetic study of bamboo waste treated by Echinodontium taxodii using a modified three-parallel-reactions model. Bioresour. Technol. 185, 324-330. Wang, R.J., Liang, F., Jiang, C.L., Jiang, Z.H., Wang, J.X., Fei, B,H., Nan, N., 2018. Pyrolysis kinetics of moso bamboo. Wood Fib. Sci. 50, 1-11. Wang, S., Ru, B., Dai, G., Sun, W., Qiu, K., Zhou, J., 2015. Pyrolysis mechanism study of minimally damaged hemicellulose polymers isolated from agricultural waste straw samples. Bioresourc. Technol. 190, 211-218. Zhao, J., Wang, X., Hu, J., Liu, Q., Shen, D., & Xiao, R., 2014. Thermal degradation of softwood lignin and hardwood lignin by tg-ftir and PY-GC/MS. Polym. Degrad. Stab. 108, 133-138. Zou, S.P., Wu, Y.L., Yang, M.D., Li, C.,Tong, J.M., 2010. Pyrolysis characteristics and kinetics of the marine microalgae Dunaliella tertiolecta using thermogravimetric analyzer. Bioresour. Technol. 101, 359-365.

16

1.2

1.2

0.6

60

40

0.3

20

80

300

400

500

600

700

10 20 30 40

/min /min /min /min

0.6 60

0.3

40

0.0 100

200

300

400

500

600

700

Temperature ( )

Temperature ( ) 1.2

Mass loss (%)

80

60

1.2 100

0.9

0.6

40 0.3 20

(d)

10 20 30 40

)

(c)

Derivative mass loss (%/ Mass loss (%)

100

0.9

80

/min /min /min /min

0.6 60

0.3

40

20

0.0

0.9

)

200

/min /min /min /min

20

0.0 100

10 20 30 40

)

0.9

(b)

Derivative mass loss (%/

100

Derivative mass loss (%/

Mass loss (%)

80

/min /min /min /min

)

10 20 30 40

Mass loss (%)

(a)

Derivative mass loss (%/

100

0.0

0 100

200

300

400

500

600

700

100

Temperature ( )

200

300

400

500

600

700

Temperature ( )

Fig.1 The pyrolysis process of moso bamboo at different heating rates

(a. IB; b. OB; c. MB; d. BL)

17

1.7

1.7

(b)

(a)

0.1 0.2 0.3 0.4 0.5 0.6 0.7

1.5

log(β)

1.4 1.3

0.1 0.2 0.3 0.4 0.5 0.6 0.7

1.6 1.5 1.4

log(β)

1.6

1.3

1.2

1.2

1.1

1.1

1.0

1.0

0.0015

0.0016

0.0017

0.0018

0.0019

0.0020

0.00152

0.00160

1/T

0.00184

1.7

(c)

(d)

0.1 0.2 0.3 0.4 0.5 0.6 0.7

1.5 1.4 1.3

0.1 0.2 0.3 0.4 0.5 0.6 0.7

1.6 1.5 1.4

log(β)

1.6

log(β)

0.00176

1/T

1.7

1.3

1.2

1.2

1.1

1.1 1.0

1.0 0.00152

0.00160

0.00168

0.00176

0.00184

0.00192

0.00200

0.00135

0.00150

0.00165

0.00180

0.00195

0.00210

1/T

1/T

Fig.2

0.00168

Non-isothermal plot of FWO method at different conversion rates (a. IB; b. OB; c. MB; d. BL) 18

30

IB OB MB BL

25

Peak area (%)

20

15

10

5

0

eh Ald

yde

n e ol Fura Phen Keton

l r Este Alcoho

Acid

Fig.3 Pyrolysis products distribution of IB, OB, MB and BL from Py-GC/MS

20

0.14

IB OB MB BL

0.12 0.10

Intensity

0.08 0.06 0.04 0.02 0.00 100

200

300

400

500

Temperature (

21

)

600

700

Fig. 4 TG-FTIR spectra of sampels at heating rate of 10 /min

22

0.035

3566

0.020

IB OB MB BL

0.030 0.025

2927

IB OB MB BL

0.015

Intensity

Intensity

0.020 0.015 0.010

0.010

0.005

0.005 0.000

0.000 -0.005

-0.005

100

200

300

400

500

Temperature (

600

700

100

200

)

300

400

500

Temperature (

600

700

)

0.020

0.14

2359

2179

IB OB MB BL

0.12 0.10

0.015

Intensity

Intensity

0.08 0.06

IB OB MB BL

0.04

0.010

0.005

0.02 0.000

0.00 100

200

300

400

500

Temperature (

0.10

600

100

700

300

400

500

600

700

)

0.025

1770

1684

IB OB MB BL

0.08

0.015

Intensity

0.04

IB OB MB BL

0.020

0.06

Intensity

200

Temperature (

)

0.010

0.005 0.02 0.000 0.00 100

200

300

400

500

600

700

100

200

Temperature ( )

300

400

500

Temperature (

0.025

600

700

)

0.045

IB OB MB BL

1559 0.020

0.015

0.040

IB OB MB BL

1119

0.035 0.030

Intensity

Intensity

0.025 0.010

0.005

0.020 0.015 0.010 0.005

0.000

0.000 -0.005

-0.005 100

200

300

400

500

Temperature (

600

700

100

)

200

300

400

500

Temperature (

600

700

)

Fig. 5 The main pyrolysis products of sampels as a function of temperature

24

Table 1 Pyrolysis characteristics of moso bamboo at different heating rates

The first step

Samples

Start

End

The second step

Weight

Start

End

loss ( )

( )

(%)

Weight

The third step

Start

( )

(%)

( )

Residues

loss

(%)

End

loss ( )

Weight

( ) (%)

31.2

261.8

13.2

261.8

395.7

63.4

395.7

736.6

6.6

16.7

±1.6

±3.5

±0.9

±3.5

±3.8

±1.2

±3.8

±9.8

±0.2

±0.07

30.5

281.4

13.1

281.4

402.7

58.2

402.7

725.1

8.7

19.4

±1.0

±5.6

±1.6

±5.6

±4.3

±1.9

±4.3

±6.8

±0.4

±0.05

30.6

252.9

10.9

252.9

421.5

64.5

421.5

758.9

5.8

18.5

±1.5

±6.7

±1.3

±6.7

±9.6

±1.2

±9.6

±8.3

±0.5

±0.1

30.7

237.6

10.3

237.6

408.5

55.3

408.5

721.9

9.3

24.9

±1.6

±6.4

±1.2

±6.4

±7.8

±2.1

±7.8

±9.1

±1.3

±0.5

IB

OB

MB

BL

25

Table 2 The kinetic parameters of samples at different conversion rates

Samples

Cr

Linear equation

R2

Ea (KJ/mol)

A (min-1)

0.1

y= -7064.49x+14.62

0.8070

128.61

3.00E+12

0.2

y= -8604.87x+16.51

0.9447

156.65

4.30E+14

IB

26

OB

MB

BL

0.3

y= -9258.39x+17.08

0.9449

168.54

2.54E+15

0.4

y= -9660.55x+17.28

0.9525

175.87

5.96E+15

0.5

y= -9707.99x+16.95

0.9738

176.73

4.19E+15

0.6

y= -9375.48x+16.15

0.9789

170.68

1.04E+15

0.7

y= -9279.02x+15.72

0.9980

168.92

6.08E+14

0.1

y= -7746.39x+15.27

0.9733

141.02

1.23E+13

0.2

y= -8047.74x+15.08

0.9900

146.51

1.71E+13

0.3

y= -8571.49x+15.45

0.9938

156.04

6.38E+13

0.4

y= -9089.25x+15.87

0.9938

165.47

2.47E+14

0.5

y= -9317.33x+15.95

0.9958

169.62

4.34E+14

0.6

y= -9244.46x+15.59

0.9923

168.29

2.90E+14

0.7

y= -12326.89x+19.89

0.9899

224.41

6.73E+18

0.1

y= -7572.29x+15.58

0.9386

137.85

2.56E+13

0.2

y= -8089.38x+15.55

0.9752

147.26

4.97E+13

0.3

y= -7963.07x+14.78

0.9189

144.96

1.49E+13

0.4

y= -8187.09x+14.77

0.9184

149.04

2.19E+13

0.5

y= -8654.51x+15.22

0.9631

157.55

8.83E+13

0.6

y= -8826.69x+15.24

0.9982

160.69

1.34E+14

0.7

y= -8411.49x+14.22

0.7208

153.13

2.12E+13

0.1

y= -7572.29x+15.58

0.9386

159.69

1.03E+16

27

0.2

y= -8089.38x+15.55

0.9752

177.56

9.97E+16

0.3

y= -7963.07x+14.78

0.9189

179.63

4.55E+16

0.4

y= -8187.09x+14.77

0.9184

182.47

3.12E+16

0.5

y= -8654.51x+15.22

0.9631

187.56

4.29E+16

0.6

y= -8826.69x+15.24

0.9982

168.19

2.95E+14

0.7

y= -8411.50+14.22

0.7208

165.13

4.50E+12

Cr is cinversion rate; R2 is correlation coefficient value; Ea is activation energy; A is exponential factor.

28

Table 3 The typical precipitation materials of moso bamboo at different temperatures 29

Temperature

Area (%)

Molecular m/z

Family

Compounds

formula

( )

IB

OB

MB

BL

25.99

82

C5H6O

Furan

Furan,2-methyl-

0.145



0.821 5.697

28.89

60

C2H4O2

Acid

Acetic acid

1.775

1.264

1.075 2.403

41.88

86

C5H10O

Ketone

2-Pentanone





2.163



51.43

92

C7H8

Benzene

Toluene







0.737

77.95

102

C5H10O2

Ester

0.344









0.691







0.254









Butanoic acid, methyl ester

81.76

106

C8H10

Benzene

87.68

102

C4H6O3

Ester

p-Xylene Propanoic acid, 2-oxo-, methyl ester

92.7

103

C4H9NO2

Amino acid

L-Alanine,N-methyl-

0.594



98.44

96

C5H4O2

Aldehyde

Furfural

2.517

2.791

121.64

136

C10H16

Alkene

D-Limonene







2.137

136.62

98

C6H10O

Alcohol

2-Cyclohexen-1-ol





0.281



139.7

94

C6H6O

Phenol

Phenol

0.72

0.591

0.656 1.166

150.09

84

C4H4O2

Ketone

2(5H)-Furanone

0.866

0.939

0.965 1.072

160.97

114

C4H6N2O2

Ketone

0.906

1.661

0.95

2.897 3.275

2,4-Imidazolidinedion 0.991

e, 3-methyl-

169.55

108

C7H8O

Phenol

Phenol, 4-methyl- 4

0.402

0.443

0.374 0.824

179.64

124

C7H8O2

Phenol

Phenol, 2-methoxy-

2.124

2.142

2.284 0.682

30

2-Cyclopenten-1-one, 187.86

126

C7H10O2

Ketone

0.269





0.281

0.346



0.273





1.096





0.456







3-ethyl-2-hydroxy-

197.22

122

C8H10O

Phenol

206.95

138

C8H10O2

Phenol

C4H4N2O3

Pyrimidine

C8H8O

Furan

C9H12O2

Phenol

Phenol, 4-ethylPhenol, 2-methoxy -3-methyl2,4,5-Trihydroxypyri

213.05

219.15

128

120

midine Benzofuran,

11.06

2,3-dihydro-

1

6.295

9.547 0.793

0.877

0.991

1.054 0.533



0.606



0.325



0.722







0.51









0.266



0.809

0.409

2.641 0.395

2.252

3.788

0.777 0.568

2.19

3.161

1.659

Phenol, 229.97

152

4-ethyl-2-methoxy-

231.78

212

C15H32

Alkane

240.48

162

C10H10O2

Ketone

C11H14O2

Ester

C7H6O4

Acid

C7H6O2

Aldehyde

C10H12O2

Phenol

C8H8O4

Acid

Pentadecane Ethanone,1,1'-(1,4-ph enylene)bisBenzoic acid, butyl

250.63

178

ester Benzoic

260.78

154

acid,3,4-dihydroxyBenzaldehyde,

271.9

122

4-hydroxyPhenol, 2-methoxy

280.72

164

-4-(1-propenyl)-,(E)3-Hydroxy-4-methox

288.39

168

ybenzoic acid 31



2-Cyclohexen-1-one, 302.78

168

C10H16O2

Ketone

0.368





0.457

5.818



5.865

3.948

2.082



dimethoxy-4-(2-prope 1.485

1.59

6.897 3.344

0.661

0.473

0.264



6.818

5.854

1.668



0.303









0.564

0.274



0.32

0.266

0.766



2-hydroxy-4,4,6,6-tetr



amethylBenzoic acid, 307.67

182

C9H10O4

Ester

4-hydroxy-3-methoxy 0.458 -, methylester 4-Methyl-2,5-dimetho

318.91

180

C10H12O3

Aldehyde xybenzaldehyde Phenol, 2,6-

323.92

194

C11H14O3

Phenol

nyl)N-(4-Methoxyphenyl) 336.97

194 C9H10N2O3

Acetamide

-2-hydroxyimino-acet amide 3-Hydroxy-4-methox

348.63

194

C10H10O4

Acid ycinnamic acid Hexanedioic acid,

359.69

258

C14H26O4

Ester

bis(2-methylpropyl) ester 1,2-Benzenedicarbox ylic acid,

370.08

278

C16H22O4

Ester bis(2-methylpropyl) ester 2-Propenoic acid,3-

381.99

208

C11H12O4

Acid

(4-hydroxy3-methoxyphenyl)-, 32

methyl ester 391.47

278

C16H22O4

Ester

Dibutyl phthalate

0.88

3.391

0.789 1.104

3.096







1.131

0.739

1.823



0.443

1.137





1.973



0.613 0.555





0.789



0.886







E)-2,6,10,14,18,22Tet racosahexaene,2,6,10, 404.46

410

C30H50

Carbene 15,19,23-hexamethyl, (all-E)3,5-Dimethoxy-4-hyd

420.11

208

C11H12O4

Aldehyde roxycinnamaldehyde 2-Hepten-4-one,6-hyd roxy-2-methyl-6(4-m

435.46

236

C15H24O2

Ketone ethyl-3-cyclohexen-1yl)Hexanedioic acid,

442.22

370

C22H42O4

Ester

bis(2-ethylhexyl) ester (+-)-3-(2-Carboxy-tra ns-propenyl)-2,2-dim

467.78

198

C10H14O4

Alkane

ethylcyclopropane-tra ns-1-carboxylicacid,[ 1.alpha., 3.beta.(E)] (E,Z)-2,6-Undecadien oic acid,

467.84

238

C15H26O2

Acid 7-ethyl-3-methyl-, methyl ester, (E,Z)-

33

>Pyrolysis process of all samples included three stages. > The faster is heating rate, the higher is pyrolysis temperature; > A different activation energy pf bamboo corresponded to different conversion rates. > Bamboo pyrolysis included 6 families compounds. > Pyrolysis products included H2O, CH4, CO2, CO, carboxylic acids, NO, NO2 and phenol.

36