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Preparation of Nano-NiO Particles and Evaluation of Their Catalytic Activity in Pyrolyzing Biomass Components
Abstract
This study focuses on the preparation of nano-NiO particles and their applications as catalysts in biomass pyrolysis. First, nano-NiO particles were prepared via precursors, which were obtained by homogeneous precipitation involving an aqueous solution of nickel nitrate hexahydrate and urea. Different approaches such as TGA, FTIR, XRD, BET, and TEM were used to characterize the precursors and nano-NiO particles. The formula of the precursor was identified as NiCO 3 ·2Ni(OH) 2 · n H 2 O, and it could completely translate into NiO nanoparticles below 360 °C under an air atmosphere. The prepared nano-NiO particles were found to be spherical in shape and well dispersed with weak agglomeration. They had generally a high purity and fine crystal phase of cubic syngony with a mean size of ∼7.5 nm and specific surface area of 188.0 m 2 /g. Furthermore, the catalytic activity of nano-NiO particles in pyrolyzing three biomass components (cellulose, xylan, and lignin) was preliminarily investigated using a thermogravimetric analyzer, and the results were compared with those of micro-NiO particles under the same conditions. With the presence of a catalyst, the weight loss of three biomass components mainly occurred at relatively lower temperature, with the final yield of residues and the activation energy of biomass pyrolysis being reduced markedly. Nano-NiO particles demonstrated a more effective catalytic effect in biomass pyrolysis over micro-NiO particles. The pathway of biomass pyrolysis in the presence of catalyst was briefly discussed.
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Cites
Kinetic Parameters from Thermogravimetric Data
COATS, A. W., & REDFERN, J. P. (1964) · Nature · doi:10.1038/201068a0 · Cited by 6,930
Pyrolysis kinetics of lignocellulosic materials—three independent reactions model
Orfão, J. J. M., Antunes, F. J. A., & Figueiredo, J. L. (1999) · Fuel · doi:10.1016/s0016-2361(98)00156-2 · Cited by 771
Kinetic modeling of biomass pyrolysis
Várhegyi, G., Antal, M. J., Jakab, E., & Szabó, P. (1997) · Journal of Analytical and Applied Pyrolysis · doi:10.1016/s0165-2370(96)00971-0 · Cited by 545
Pyrolysis of Lignins: Experimental and Kinetics Studies
Ferdous, D., Dalai, A. K., Bej, S. K., & Thring, R. W. (2002) · Energy & Fuels · doi:10.1021/ef0200323 · Cited by 310
Cited by
Lignocellulosic biomass pyrolysis mechanism: A state-of-the-art review
Wang, S., Dai, G., Yang, H., & Luo, Z. (2017) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2017.05.004 · Cited by 2,595
Peck, M. A., & Langell, M. A. (2012) · Chemistry of Materials · doi:10.1021/cm300739y · Cited by 834
Screening acidic zeolites for catalytic fast pyrolysis of biomass and its components
Mihalcik, D. J., Mullen, C. A., & Boateng, A. A. (2011) · Journal of Analytical and Applied Pyrolysis · doi:10.1016/j.jaap.2011.06.001 · Cited by 513
Applications of metal–organic coordination polymers as precursors for preparation of nano-materials
Masoomi, M. Y., & Morsali, A. (2012) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2012.05.032 · Cited by 383
Richardson, Y., Blin, J., & Julbe, A. (2012) · Progress in Energy and Combustion Science · doi:10.1016/j.pecs.2011.12.001 · Cited by 297
Insight into CO2 methanation mechanism over NiUSY zeolites: An operando IR study
Westermann, A., Azambre, B., Bacariza, M. C., Graça, I., Ribeiro, M. F., Lopes, J. M., & Henriques, C. (2015) · Applied Catalysis B: Environment and Energy · doi:10.1016/j.apcatb.2015.02.026 · Cited by 288
HE, M., XIAO, B., HU, Z., LIU, S., GUO, X., & LUO, S. (2009) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2008.12.023 · Cited by 277
Self-citationSynthesis and characterization of NiO nanoparticles by sol–gel method
Alagiri, M., Ponnusamy, S., & Muthamizhchelvan, C. (2012) · Journal of Materials Science: Materials in Electronics · doi:10.1007/s10854-011-0479-6 · Cited by 274
A review on conversion of biomass to biofuel by nanocatalysts
Akia, M., Yazdani, F., Motaee, E., Han, D., & Arandiyan, H. (2014) · Biofuel Research Journal · doi:10.18331/brj2015.1.1.5 · Cited by 261
Renewable energy harvesting with the application of nanotechnology: A review
Ahmadi, M. H., Ghazvini, M., Alhuyi Nazari, M., Ahmadi, M. A., Pourfayaz, F., Lorenzini, G., & Ming, T. (2019) · International Journal of Energy Research · doi:10.1002/er.4282 · Cited by 207
Nanotechnology in Solar and Biofuels
Ramsurn, H., & Gupta, R. B. (2013) · ACS Sustainable Chemistry & Engineering · doi:10.1021/sc400046y · Cited by 109
A Review on Nano-catalyst from Waste for Production of Biofuel-Via-Bioenergy
Bharati, R., & Suresh, S. (2017) · Springer Proceedings in Energy · doi:10.1007/978-3-319-47257-7_3 · Cited by 12
Metadata
- Authors
- Li, J., Yan, R., Xiao, B., Liang, D. T., & Lee, D. H.
- Venue
- Energy & Fuels
- Publisher
- American Chemical Society (ACS)
- Published
- 2007-10-02
- Volume
- 22
- Issue
- 1
- Pages
- 16-23
- ISSN
- 0887-0624 (ISSN-L)
- 1520-5029
- OpenAlex
- W2084107368
- Cited by
- 174
- References
- 4
- FWCI
- 3.89
- Type
- journal article
- Language
- en
- Open access
- closed
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