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Record W4415150659 · doi:10.1002/admt.202500920

Characterization of The Electrical and Optical Properties of Ultrabithorax Fusion Fibers for Biosensing

2025· article· en· W4415150659 on OpenAlexfundno aff
Karol P. Szuba-Jablonski, A. Bernardus Mostert, Drew B. Riley, Kenith E. Meissner

Bibliographic record

VenueAdvanced Materials Technologies · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Fiber Optic Sensors
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaSwansea UniversityUK Research and Innovation
KeywordsUltrabithoraxBiosensorFluorescenceFörster resonance energy transfermCherryFluorophoreSurface modificationGreen fluorescent protein

Abstract

fetched live from OpenAlex

Abstract Protein materials have vital functions in living organisms and in the production of biomedical devices. Silk and collagen are established components of tissue regeneration scaffolds with electrical or bioactive functional properties, while fluorescent proteins are markers of cell activity and toxicity. Ultrabithorax (Ubx) is a protein material with excellent biocompatibility, elasticity, and functionalization pathways with fluorescent reporters, growth factors, and DNA aptamers. In this work, the optical and electrical properties of Ubx protein fusions are measured using techniques relevant for biosensing. Fluorescence spectra and lifetimes of Ubx fusions are measured. Förster resonance energy transfer (FRET) between Ubx and fluorescent fusion partners is reported for the first time. The stability of fluorescence of Ubx protein fusions with fluorescent proteins EGFP and mCherry is confirmed in a range of illumination powers. Impedance spectroscopy measurements show that increased relative humidity causes a rise in the electrical conductivity of Ubx fusion fibers by two orders of magnitude. Nyquist and broadband dielectric analyses indicate that charge transfer is dominated by ions, and the increase in conductivity is driven by increased ion mobility. This paper informs the choice of Ubx functionalization strategies for applications in biosensing using fluorescence lifetime imaging microscopy, FRET, and impedimetric spectroscopy.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.211
Teacher spread0.203 · 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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