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Record W2326261440 · doi:10.1021/ie4002662

Water Removal from Ethanol Vapor by Adsorption on Canola Meal after Protein Extraction

2013· article· en· W2326261440 on OpenAlexaff
Zakieh Ranjbar, Mehdi Tajallipour, Catherine Hui Niu, Ajay K. Dalai

Bibliographic record

VenueIndustrial & Engineering Chemistry Research · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicProteins in Food Systems
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAdsorptionCanolaChemistryExtraction (chemistry)EthanolChromatographyWater vaporMass transferVapor pressureOrganic chemistryFood science

Abstract

fetched live from OpenAlex

In this paper, biosorbents based on canola meal obtained after protein extraction were developed to adsorb water from ethanol–water vapor mixture in a pressure swing adsorption (PSA) process. It was demonstrated that through the process over 99 wt % fuel grade ethanol was achieved from lower grade feeds containing 80–95 wt % ethanol at 90–110 °C and 136–243 kPa. The breakthrough curve technique was used to investigate the adsorption dynamics and equilibrium. The effects of temperature, pressure, vapor feed concentration, and adsorbent particle size on water and ethanol uptake and separation factor were examined. External water mass transfer coefficients were also calculated. The model based on Dubinin–Polanyi potential theory fit the water adsorption isotherms reasonably well. The mean free energy of water adsorption was calculated to be 0.04 kJ/mol, and heat of adsorption was −35.81 kJ/mol, which indicated the physical nature of the adsorption. Water saturated canola meal biosorbents were regenerated at 90 °C under vacuum and reused.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.071
GPT teacher head0.280
Teacher spread0.209 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2013
Admission routes1
Has abstractyes

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