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Record W2607061662 · doi:10.1149/ma2017-01/19/1058

All-Solution-Processing of Nanoporous and Wrinkled Electrodes on Polymer Substrates for Use in Electrochemical Biosensing

2017· article· en· W2607061662 on OpenAlex
Christine M. Gabardo, Chris Adams-McGavin, Barnabas Fung, Jie Yang, Leyla Soleymani

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueECS Meeting Abstracts · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMaterials scienceElectrodeNanoporousThin filmNanotechnologyPolymerSubstrate (aquarium)Deposition (geology)NanoparticleBiosensorPolymer substrateMicrometerLayer (electronics)Composite materialOpticsChemistry

Abstract

fetched live from OpenAlex

Multi-lengthscale electrodes that combine features from the nanometer to millimeter scale are of tremendous interest for use in electrochemical biosensors due to their increased analytical sensitivity and their enhanced interaction with biomolecular analytes. In this paper, we present a benchtop rapid prototyping approach based on all-solution-processing for creating multi-lengthscale electrodes on polymer substrates. Multi-lengthscale electrodes are created by combining xurography, nanoparticle self-assembly, electroless deposition, and polymer-induced thin film wrinkling. Xurography is used to develop a mask for implementing the electrode configuration on polymeric substrates with micrometer resolution. A nanoparticle seed layer is deposited with the aid of molecular linkers to direct the electroless deposition processes to desired locations on the substrate. Electroless deposition is used to create a uniform and conductive thin film on a shrinkable polymer substrate. Thin film wrinkling induced using a shape memory polymer is then used to develop tunable wrinkles with minimum feature sizes in the micro/nanoscale. It is observed that the structural parameters of the wrinkled film such as pore density, wrinkle wavelength, and wrinkle peak-to-valley values are controllable by varying the electroless deposition duration. This structural variability is then used to tune the functional parameters of the electrodes such as sheet resistance and electroactive surface area. The combination of electroless deposition with polymer-induced thin film wrinkling results in thin films having a sheet resistance of 0.39±0.04 Ω/□, which is comparable to films of the same thickness deposited by sputtering. We used the electrodes developed here for enzyme-free glucose detection due to their high surface area induced by the combination of porosity and wrinkling. The results demonstrate that the sensitivity of these electrodes can be tuned by varying the electroless deposition duration. The optimal porous and wrinkled electrodes demonstrate a sensitivity of 23 µA/mM.cm 2 for enzyme free glucose detection, which is 18 times larger than the sensitivity measured with planar electrodes. In sum, an all-solution-processing method is developed, which allows electrodes of various configurations, with tunable features from the nanometer to millimeter scale to be created in a matter of hours. The structural tunability offered by this fabrication method, allows the functional parameters of the electrodes such as sheet resistance, electro-active surface area, and analytical sensitivity to be tuned. The application of the porous and wrinkled electrodes created in this work to enzyme-free glucose detection is demonstrated.

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)0.001
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 score0.034
Threshold uncertainty score0.608

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.022
GPT teacher head0.271
Teacher spread0.248 · 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