Literature DB >> 27179953

Optimisation of slow-pyrolysis process conditions to maximise char yield and heavy metal adsorption of biochar produced from different feedstocks.

E Hodgson1, A Lewys-James2, S Rao Ravella3, S Thomas-Jones3, W Perkins2, J Gallagher3.   

Abstract

The objective of this work was to identify biomass feedstocks and optimum pyrolysis process conditions to produce a biochar capable of adsorbing metals from polluted groundwater. Taguchi experimental design was used to determine the effects of slow-pyrolysis process conditions on char yield and zinc adsorption. Treatments were repeated using six candidate feedstocks (Lolium perenne, Lolium perenne fibre, Miscanthus x giganteus, Salix viminalis, Fraxinus excelsior and Picea sitchensis) and the resultant chars were tested for metal adsorption performance. Chars produced from L. perenne and its extracted fibre displayed the greatest zinc adsorption performance and removed 83.27-92.96% respectively. Optimum process conditions in terms of both char yield and zinc adsorption performance were achieved from slow-pyrolysis at 300°C for 2h using a feedstock with a particle size of less than 1mm.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bio-refinery; Grasses; Remediation; Taguchi-method; Zinc

Mesh:

Substances:

Year:  2016        PMID: 27179953     DOI: 10.1016/j.biortech.2016.05.009

Source DB:  PubMed          Journal:  Bioresour Technol        ISSN: 0960-8524            Impact factor:   9.642


  2 in total

1.  Value of biochars from Miscanthus x giganteus cultivated on contaminated soils to decrease the availability of metals in multicontaminated aqueous solutions.

Authors:  Adeline Janus; Aurélie Pelfrêne; Karin Sahmer; Sophie Heymans; Christophe Deboffe; Francis Douay; Christophe Waterlot
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-20       Impact factor: 4.223

2.  Optimization of target biochar for the adsorption of target heavy metal ion.

Authors:  Runjuan Zhou; Ming Zhang; Shuai Shao
Journal:  Sci Rep       Date:  2022-08-11       Impact factor: 4.996

  2 in total

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