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Record W4245792842 · doi:10.1149/ma2017-01/31/1505

Electrosynthesis of Glycerol Carbonate from Glycerol and Potassium Carbonate on Nickel Electrodes

2017· article· en· W4245792842 on OpenAlexaff
Hui Huang Hoe, Donald W. Kirk

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldChemical Engineering
TopicCarbon dioxide utilization in catalysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCarbonateGlycerolChemistryElectrosynthesisInorganic chemistryCarbon dioxidePotassium carbonateChemical engineeringElectrochemistryOrganic chemistryElectrode

Abstract

fetched live from OpenAlex

The growing biodiesel industry leads to an excess production of glycerol by-product which is of low value but costly to store or dispose because glycerol is not suitable as fuel due to its sooty flame while its discharge to water leads to eutrophication. On the other hand, industrial carbon dioxide could be readily captured by scrubbing with potassium hydroxide to form potassium carbonate. With the tightening of greenhouse gas emission standards and the introduction of carbon cap and trade quota, carbon utilization becomes increasingly important both on environment and economic perspective. The combination of glycerol and carbon dioxide, in the form of dissolved carbonate ions, to produce glycerol carbonate would solve both glycerol and carbon dioxide emission problems altogether. In addition, glycerol carbonate is a valuable chemical feedstock in high industrial demand for its widespread use as solvents, surfactants, chemical feedstock and polymer materials. Compared to conventional catalysis, the electrochemical route dramatically reduces heating and pressurization requirement without using noble metal catalysts. The electrochemical synthesis of glycerol carbonate from glycerol and potassium carbonate enables utilizing electrical power to upgrade the glycerol waste into valuable glycerol carbonate while consuming carbon dioxide, under much milder conditions. The electrosynthesis of glycerol carbonate has been performed under ambient temperature and pressure on nickel plate electrodes, using potassium carbonate dissolved in glycerol with varying water dilution. The formation of glycerol carbonate was confirmed by both the characteristic peak on Cyclic Voltammetry and the Liquid Chromatography-Mass Spectrometry (LC-MS) analysis. Interestingly, comparison of LC-MS spectra with the analytical standard showed the carbonate insertion into glycerol molecule to be regiospecific, producing exclusively the more common and valuable 5-membered-ring glycerol 1,2 carbonate, instead of 6-membered-ring glycerol 1,3 carbonate. Based on this observation, it was postulated that the reaction occurred by simultaneous attack of 1,2 -OH groups of glycerol, making 1,3 bond formation impossible due to insufficient molecular “arm” length of carbonate species. LC-MS analysis revealed further C=O bond hydrogenation of glycerol 1,2 carbonate to 4-(Hydroxymethyl)-1,3-dioxolan-2-ol and dimerization of glycerol carbonate. The glycerol carbonate hydrogenation was found to be favorable under low current density such that most of glycerol carbonate formed was hydrogenated. The color change from colorless to brown of reaction mixture indicated the electrochemical dehydrogenation of glycerol to acrolein followed by subsequent polymerization to brown polyacrolein as by-product, similar to the color change observed for mixture after intense heating. Under high current density, both the polyacrolein formation and the hydrogen evolution were found to be more prevalent due to a combined effect of electrochemical polarization and local resistive heating, reducing reaction selectivity and energy efficiency. Addition of water is found to be beneficial by reducing heating requirement, resistive loss and side reactions. From the results, the novel electrochemical upgrading of glycerol waste while utilizing carbon dioxide is successfully demonstrated. However, by-product formation and energy efficiency challenges remain to be overcome for economic viability as the future “green” industrial production of valuable glycerol carbonate. While this discovery of the alternative glycerol electrochemical carbonatation has shed some light into the possible reaction mechanism, further mechanistic study is needed for better understanding of the reaction mechanism. Figure 1

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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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.066
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.238
Teacher spread0.226 · 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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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