Biochemical conversion of fruit rind of Telfairia occidentalis (Fluted Pumpkin) and poultry manure
- Published
- Accepted
- Subject Areas
- Bioengineering, Biotechnology, Mathematical Biology, Microbiology
- Keywords
- Biogas, Methane, Microorganisms, Pre-treatment, Optimization, Rumen content
- Copyright
- © 2018 Dahunsi et al.
- Licence
- This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
- Cite this article
- 2018. Biochemical conversion of fruit rind of Telfairia occidentalis (Fluted Pumpkin) and poultry manure. PeerJ Preprints 6:e26564v1 https://doi.org/10.7287/peerj.preprints.26564v1
Abstract
This study evaluated the potentials of Fluted pumpkin fruit rind and poultry manure for biogas generation. Mechanical and thermo-alkaline pre-treatments were applied to two samples labelled ‘O’ and ‘P’ while the third sample (Q) had no thermo-alkaline treatment. The physicochemical characteristics of the substrates revealed richness in nutrients and mineral elements. The modelling was done using the Response Surface Methodology and Artificial Neural Networks and statistical prediction showed the process optimal conditions to be 30.02 o C, 7.90, 20.03 days, 5.94 g/kg and 4.01 g/kg for temperature, pH, retention time, total solids and volatile solids. Using the above set values, the biogas yield was predicted to be 2614.1, 2289.9 and 1003.3 10-3m3/kg VS for digestions ‘O’, ‘P’ and ‘Q’ respectively. The results showed that use of combination of pre-treatment methods enhanced the biogas yield in the pre-treated substrates. Analysis of the gas composition showed 66.5 ± 2.5 % Methane, 25 ± 1% Carbon dioxide; 58.5 ± 2.5 % Methane, 26 ± 1% Carbon dioxide; 54.5 ± 1.5 % Methane, 28 ± 2% Carbon dioxide for the three experiments respectively. All the obtained values show the models had a high predictive ability. However, the coefficient of determination (R2) for RSM was lower compared to that of ANN which is an indication that ANNs model is more accurate than RSM model in predicting biogas generation from the anaerobic co-digestion of rind of Fluted pumpkin and poultry manure. The substrates should be further used for energy generation.
Author Comment
This is a submission to PeerJ for review.
Supplemental Information
Graphical representation of the study
This is the graphical representation of the entire study
Supplemetary figures
Each figure shows a diagram referred to in the manuscript
Supplementary tables for additional data
Each data shows the raw value for important parameters including pH, Temperature and daily Biogas yield