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Record W2280109299 · doi:10.1149/ma2016-01/1/80

(Science for Solving Society’s Problems Challenge Grant Winner) Powerpad: Evaluation of Redox Chemistries for Disposable Power Sources

2016· article· en· W2280109299 on OpenAlexaffabout
Omar Ibrahim, Perla Alday, Juan Pablo Esquivel, N. Sabaté, Erik Kjeang

Bibliographic record

VenueECS Meeting Abstracts · 2016
Typearticle
Languageen
FieldEngineering
TopicNanotechnology research and applications
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRedoxEnergy storageElectrochemical energy conversionNanotechnologyElectrochemistryProcess engineeringChemistryMaterials scienceComputer scienceEnvironmental sciencePower (physics)ElectrodeEngineeringOrganic chemistry

Abstract

fetched live from OpenAlex

During the Electrochemical Energy and Water Summit, held during the ECS Fall 2014 Meeting in Cancun, Mexico, we proposed the idea for the PowerPAD, a concept for an eco-friendly, biodegradable paper-based redox power source for water monitoring in low resource settings and the idea was awarded funding in the Science for Solving Society’s Problems Challenge. The concept leverages recent advances in microfluidic co-laminar flow cells with flow-through porous electrodes [1] and paper-based fuel cell structures [2], as shown in Fig. 1. In electrochemical energy conversion systems, various organic materials are used as fuel in electrochemical power sources such as direct methanol fuel cells or direct formic acid fuel cells. However, oxidation/reduction reactions involving these fuels often require precious metal catalysts such as platinum or palladium [2-3] as well as complex ion-conducting polymers, both of which are expensive and non-disposable and hence unsuitable for the present application. A more affordable and sustainable solution may be reached with microbial and enzyme-based fuel cells. However, their power output is generally much lower than the target application requirements and their biocatalysts often have limited stability and durability [4]. Recently, the use of organic species in aqueous flow batteries has been reported for large-scale energy storage [5-6]. The quinone redox species are soluble in aqueous electrolytes, have rapid kinetics on pure carbon electrodes and do not require any catalysts. These characteristics make them a potential candidate for the requirements of the PowerPAD concept. In this work, we will present our experimental results for the electrochemical characterization of potential redox couples and the discharge performance. As a screening approach, the potential candidates were ex-situ tested in various supporting electrolytes using cyclic voltammetry techniques. A glassy carbon electrode, a platinum wire electrode and a saturated calomel electrode were used as working electrode, counter electrode and reference electrode, respectively, in a three electrode electrochemical cell throughout the measurements. The aim of the measurements was to investigate the open circuit potential and qualitatively assess the kinetics of the half-cell candidate species on bare carbon electrodes and the effect of different supporting electrolytes. Next, the species were tested in a co-laminar flow cell (CLFC) with flow-through porous electrodes, in order to measure the discharge performance. Details about the cell design and fabrication can be found elsewhere [7-8]. These membrane-less CLFCs utilize a co-laminar diffusion interface to provide reactant streams separation and thereby enable the flexibility of the choice of different supporting electrolytes at the two electrodes. It was found that the operation in mixed-media electrolytes enables high open circuit cell voltage and high performance output. The results of this study were carried on and tested later in a paper-based proof-of-concept device providing the departing point for a new generation of biodegradable power sources that would have a positive environmental impact. Acknowledgements: The funding for this research provided by the Electrochemical Society and the Bill & Melinda Gates Foundation is highly appreciated. Additional support from the Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Foundation for Innovation (CFI) and British Columbia Knowledge Development Fund (BCKDF) is also acknowledged. J.P.E. thanks support from Marie Curie International Outgoing Fellowship (APPOCS) within the 7th European Community Framework. References: [1] Kjeang E., et al., J. Am. Chem. Soc., 2008, 130(12), 4000-4006. [2] Esquivel J. P., et al., Energy Environ. Sci ., 2014, 7 (5), 1744-1749. [3] Ortiz-Ortega E., et al., Lab Chip , 2014, 14(24), 4596-4598. [4] Lee J.W. and Kjeang E., Biomicrofluidics , 2010, 4(4), p. 041301. [5] Huskinson B., et al., Nature , 2014, 505, 195-198. [6] Yang B., et al., J. Electrochem. Soc. , 2014, 161, A1371-A1380. [7] Ibrahim, O.A., et. al., J. Electrochem. Soc. , 2015, 162(7), p. F639-F644. [8] Ibrahim, O. A., et al., Electrochim. Acta, 2016, 187, p. 277-285. Figure 1

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.011
Threshold uncertainty score0.408

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.000
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 head0.024
GPT teacher head0.274
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes2
Has abstractyes

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