280
Views
9
CrossRef citations to date
0
Altmetric
Articles

Cocoa bean skin waste as potential raw material for liquid smoke production

, & ORCID Icon
Pages 1044-1053 | Received 13 Mar 2018, Accepted 01 Sep 2018, Published online: 21 Sep 2018
 

ABSTRACT

Cocoa bean skin is a waste of chocolate industries that mostly contains hemicellulose, cellulose, and lignin. This material shows to be a promising feedstock for the production of liquid smoke and charcoal. The study was aimed to analyse the influence of temperature and heating rate of cocoa bean skin pyrolysis to the production of liquid smoke. Optimization of pyrolysis process variables, i.e. by adjusting the suitable temperature and heating rate, is the key to obtain a high-quality product. The pyrolysis process was carried out using heating rates between 5°C/min and 15°C/min at three pyrolysis temperatures of 450°C, 500°C, and 550°C. The yield of the produced liquid smoke was in the range of 18–23%. It showed that at a faster heating rate, the reaction produced more charcoal, ash, and water content for all pyrolysis temperatures. The highest yield of charcoal was ca. 39% with a caloric value of 22.97 MJ/kg, while the lowest ash and water content was in the range of 16.5–19% and 6.5–8.5%, respectively. This result shows that the utilization of this organic waste compounds could be promising for large-scale production.

GRAPHICAL ABSTRACT

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 223.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.