Comparison of Sweet Sorghum and Cassava for Ethanol Production by Using Saccharomyces cerevisiae
Abstract
The two-step enzymatic hydrolysis of sweet sorghum and cassava were performed by commercially available α-amylase and glucoamylase and further ethanol fermentation of the obtained hydrolyzates by Saccharomyces cerevisiae were studied. For both sweet sorghum and cassava, the hydrolysis and fermentation were done in a 2 L stirred tank bioreactor, B-Braun fermenter, by using the same conditions. The amount of glucose obtained after hydrolysis process was greater in sweet sorghum compared to cassava, which are 50.07 and 40.00 g L-1, respectively. Also, sweet sorghum gave higher ethanol concentration than cassava at the 64 h of fermentation process, which are 40.11 and 34.07 g L-1, respectively.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The yield and quality of bioethanol produced is strongly dependent on the fermentation process, which is affected by temperature, pH, oxygen, substrate concentration, and the fermenter organism used.
“The yield and quality of the bioethanol produced is strongly dependent on the fermentation process, which is affected by several factors, such as temperature, pH, oxygen, substrate concentration, and the fermenter organism used [126–130].”
From The promising future of microalgae: Current status, challenges, and optimization of a sustainable and renewable industry for biofuels, feed, and other products (2018) · cites this paper as [130]
Cites
Photo-electrochemical analysis of passive film formed on Cr in pH 8.5 buffer solution
Kim, J., Cho, E., & Kwon, H. (2001) · Electrochimica Acta · doi:10.1016/s0013-4686(01)00729-0 · Cited by 105 · see citing works
Photoelectrochemical analysis on the passive film formed on Ni in pH 8.5 buffer solution
Jang, H., Park, C., & Kwon, H. (2005) · Electrochimica Acta · doi:10.1016/j.electacta.2004.12.027 · Cited by 79 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Khan, M. I., Shin, J. H., & Kim, J. D. (2018) · Microbial Cell Factories · doi:10.1186/s12934-018-0879-x · Cited by 2,082 · see citing works
The current bioenergy production potential of semi-arid and arid regions in sub-Saharan Africa
Wicke, B., Smeets, E., Watson, H., & Faaij, A. (2011) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2011.03.010 · Cited by 91 · see citing works
- Authors
- Nadir, N., Mel, M., Karim, M. I. A., & Yunus, R. M.
- Venue
- Journal of Applied Sciences
- Publisher
- Science Alert
- Published
- 2009-08-15
- Volume
- 9
- Issue
- 17
- Pages
- 3068-3073
- ISSN
- 1812-5654 (ISSN-L)
- OpenAlex
- W2085408292
- Cited by
- 48
- References
- 2
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 7 · 2021: 4 · 2020: 2 · 2019: 2 · 2018: 3 · 2017: 1 · 2016: 3 · 2015: 2 · 2014: 2 · 2013: 3 · 2012: 4
- FWCI
- 2.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Applied Sciences (publishedVersion)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
- Life Sciences › Agricultural and Biological Sciences › Agronomy and Crop Science › Bioenergy crop production and management
- Keywords
- sweet sorghum, cassava, ethanol production, Saccharomyces cerevisiae, enzymatic hydrolysis, alpha-amylase, glucoamylase, glucose yield, ethanol concentration, lignocellulosic biomass fermentation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
