Effects of coffee processing residues on anaerobic microorganisms and corresponding digestion performance

Juan Pablo Rojas-Sossa; Mariana Murillo-Roos; Lidieth Uribe; Lorena Uribe-Lorio; Terence Marsh; Niels Larsen; Rui Chen; Alberto Miranda; Kattia Solís; Werner Rodriguez; Dana Kirk; Wei Liao

doi:10.1016/j.biortech.2017.08.098

Effects of coffee processing residues on anaerobic microorganisms and corresponding digestion performance

Bioresour Technol. 2017 Dec;245(Pt A):714-723. doi: 10.1016/j.biortech.2017.08.098. Epub 2017 Aug 19.

Authors

Affiliations

¹ Agricultural Engineering, University of Costa Rica, San José, Costa Rica; Anaerobic Digestion Research and Education Center, Biosystems and Agricultural Engineering, Michigan State University, MI, USA.
² Agronomy Research Center, University of Costa Rica, San José, Costa Rica; National Institute for Innovation and Transfer of Agricultural Technology, Ministry of Agriculture, San José, Costa Rica.
³ Agronomy Research Center, University of Costa Rica, San José, Costa Rica.
⁴ Cellular and Molecular Biology Research Center, University of Costa Rica, San José, Costa Rica.
⁵ Microbiology and Molecular Genetics, Michigan State University, MI, USA.
⁶ Danish Genome Institute, Aarhus, Denmark.
⁷ Anaerobic Digestion Research and Education Center, Biosystems and Agricultural Engineering, Michigan State University, MI, USA.
⁸ Fabio Baudrit Experimental Station, University of Costa Rica, San José, Costa Rica.
⁹ Agricultural Engineering, University of Costa Rica, San José, Costa Rica.
¹⁰ Anaerobic Digestion Research and Education Center, Biosystems and Agricultural Engineering, Michigan State University, MI, USA. Electronic address: liaow@msu.edu.

PMID: 28917107
DOI: 10.1016/j.biortech.2017.08.098

Abstract

The objective of this study was to delineate the effects of different coffee processing residues on the anaerobic microbes and corresponding digestion performance. The results elucidated that mucilage-rich feed enhanced the accumulation of methanogens, which consequently led to better digestion performance of biogas production. Fifty percent more methane and up to 3 times more net energy (heat and electricity) output were achieved by the digestion of the mucilage-rich feed (M3). The microbial community and statistical analyses further elucidated that different residues in the feed had significant impact on microbial distribution and correspondingly influenced the digestion performance.

Keywords: 16S rRNA gene; Biogas; Mass and energy balance; Microbial community; Non-metric Multidimensional Scaling.

MeSH terms

Anaerobiosis
Biofuels*
Bioreactors
Coffee*
Digestion
Euryarchaeota
Methane*

Substances

Biofuels
Coffee
Methane