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Traditional Fermentation and Distillation of Raffia Palm Sap for the Production of Bioethanol in Bayelsa State, Nigeria

2012· article· en· W2058538093 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Technology Innovations in Renewable Energy · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAfrican Botany and Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBiofuelPulp and paper industryFermentationDistillationProduction (economics)Environmental scienceBiotechnologyFood scienceBiologyEngineeringChemistryEconomicsChromatography

Abstract

fetched live from OpenAlex

The production of alcoholic beverages from the sap of raffia palm, Raphia hookeri, has continued for decades in West Africa, but the detailed processes had never been documented before. The objective of this study is to document the traditional process of ethanol production, with the aim of scaling up the process for the production of fuel ethanol. Ten smallholder ethanol production facilities were randomly selected, and triplicate samples of the process intermediates were collected and analysed, including fermented palm sap, first and second distillate, first and second stillage. Results show that the percentage of ethanol was significantly different (P<0.05) among the different intermediates. The highest ethanol presence was recorded in the second distillate (39-61.5%), followed by the first distillate (18.83-39%), then the first stillage (5.80-10.20%), the palm sap (10.50-15.30%) and finally the second stillage (3.40-5.80%).Yeast population, pH, sugar, specific gravity and electrical conductivity differed significantly among the various sites and intermediates. Wood (105-155kg) was used as fuel to boil 280-480L of fermented palm sap producing 20L of 39-61.5% ethanol. The smallholder processors are however challenged by the poor distillation apparatus and the lack of ethanol dehydration facilities. The study concludes by recommending the modification of the Nigerian Biofuel Policy (2007) to allow the use of hydrous ethanol in automobiles and low concentration ethanol for household cooking.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.100

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.244
Teacher spread0.214 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it