Document Type
Article
Publication Date
7-1-2019
Department
Department of Social Sciences
Abstract
Metal-contaminated soil could be sustainably used for biofuel feedstock production if the harvested biomass is amenable to bioethanol production. A 60-day greenhouse experiment was performed to evaluate (1) the potential of vetiver grass to phytostabilize soil contaminated with copper (Cu), and (2) the impact of Cu exposure on its lignocellulosic composition and downstream bioethanol production. Dilute acid pretreatment, enzymatic hydrolysis, and fermentation parameters were optimized sequentially for vetiver grass using response surface methodology (RSM). Results indicate that the lignocellulosic composition of vetiver grown on Cu-rich soil was favorably altered with a significant decrease in lignin and increase in hemicellulose and cellulose content. Hydrolysates produced from Cu exposed biomass achieved a significantly greater ethanol yield and volumetric productivity compared to those of the control biomass. Upon pretreatment, the hemicellulosic hydrolysate showed an increase in total sugars per liter by 204.7% of the predicted yield. After fermentation, 110% of the predicted ethanol yield was obtained for the vetiver grown on Cu-contaminated soil. By contrast, for vetiver grown on uncontaminated soil a 62.3% of theoretical ethanol yield was achieved, indicating that vetiver has the potential to serve the dual purpose of phytoremediation and biofuel feedstock generation on contaminated sites.
Publication Title
Applied Sciences
Recommended Citation
Geiger, E.,
Sarkar, D.,
&
Datta, R.
(2019).
Evaluation of copper-contaminated marginal land for the cultivation of vetiver grass (Chrysopogon zizanioides) as a lignocellulosic feedstock and its impact on downstream bioethanol production.
Applied Sciences,
9(13), 1-16.
http://doi.org/10.3390/app9132685
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/524
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
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Publisher's PDF
Publisher's Statement
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Publisher’s version of record: https://doi.org/10.3390/app9132685