PMID- 34121032
OWN - NLM
STAT- MEDLINE
DCOM- 20211025
LR  - 20211025
IS  - 1347-3352 (Electronic)
IS  - 1345-8957 (Linking)
VI  - 70
IP  - 7
DP  - 2021 Jul 1
TI  - Hybridization of Selected Nigerian Lignocellulosic Biomass Feedstocks for 
      Bioethanol Production: Modeling and Optimization of Pretreatment and Fermentation 
      Process Parameters Using Response Surface Methodology.
PG  - 1013-1026
LID - 10.5650/jos.ess21038 [doi]
AB  - In this study, hybridized feedstocks (mixtures of biomass) of cassava peels plus 
      yam peels, as well as corn cobs plus rice husks biomass, were optimized using the 
      response surface methodology centered on the statistical design of experiments 
      (DOE) of the Box-Behnken design (BBD), to produce bioethanol. The feedstocks were 
      locally sourced, hybridized (mixed), pretreated, and fermented before being 
      distilled in a UOP3CC continuous distillation column. The BBD was applied using a 
      3-level, 3-factor process variables using pH, time, and particle size, and 
      indicated as X(1), X(2), and X(3), respectively. The bioethanol yield from the 
      two hybridized biomass feedstocks was predicted by the developed quadratic 
      polynomial models from BBD. For the hybridized biomass mixture of cassava peels 
      plus yam peels, the optimal condition was statistically predicted as pH 5.00, 
      fermentation time of 120.00 hours, and particle size of 362.5 microns, the 
      predicted bioethanol yield under the optimal condition was 115.75 mL per 1500 g 
      of hybridized biomass and the average volume of bioethanol obtained was 125.00 mL 
      per 1500 g of biomass, which is within the projected range of the model equation, 
      same applies to rice husks plus corn cobs hybridized biomass, but with a better 
      prospect for bioethanol production.
FAU - Awoyale, Adeolu A
AU  - Awoyale AA
AUID- ORCID: 0000-0002-9759-1227
AD  - Reactor Technology Research Group, School of Engineering, University of 
      KwaZulu-Natal.
AD  - Petroleum and Natural Gas Processing Department, Petroleum Training Institute.
FAU - Lokhat, David
AU  - Lokhat D
AD  - Reactor Technology Research Group, School of Engineering, University of 
      KwaZulu-Natal.
LA  - eng
PT  - Journal Article
DEP - 20210611
PL  - Japan
TA  - J Oleo Sci
JT  - Journal of oleo science
JID - 101175339
RN  - 0 (Biofuels)
RN  - 11132-73-3 (lignocellulose)
RN  - 3K9958V90M (Ethanol)
RN  - 9005-53-2 (Lignin)
SB  - IM
MH  - Biofuels
MH  - *Biomass
MH  - Dioscorea/chemistry
MH  - Distillation
MH  - Ethanol/chemistry/*isolation & purification
MH  - Fermentation
MH  - Hydrogen-Ion Concentration
MH  - Lignin/*metabolism
MH  - Manihot/chemistry
MH  - Models, Chemical
MH  - Nigeria
MH  - Oryza/chemistry
MH  - Saccharomyces cerevisiae/metabolism
MH  - Time Factors
MH  - Zea mays/chemistry
OTO - NOTNLM
OT  - Box-Behnken design
OT  - bioethanol
OT  - modeling
OT  - optimization
OT  - pretreatment
EDAT- 2021/06/15 06:00
MHDA- 2021/10/26 06:00
CRDT- 2021/06/14 06:49
PHST- 2021/06/15 06:00 [pubmed]
PHST- 2021/10/26 06:00 [medline]
PHST- 2021/06/14 06:49 [entrez]
AID - 10.5650/jos.ess21038 [doi]
PST - ppublish
SO  - J Oleo Sci. 2021 Jul 1;70(7):1013-1026. doi: 10.5650/jos.ess21038. Epub 2021 Jun 
      11.