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A Radiolabeling Method for Precise Quantification of Polymers

2022· article· en· W4221003333 on OpenAlexafffund
Lina Liu, Talena Rambarran, Ben B Muirhead, Frances Lasowski, Heather Sheardown

Bibliographic record

VenueBioconjugate Chemistry · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicChemical Synthesis and Analysis
Canadian institutionsMcMaster University
FundersNatural Sciences and Engineering Research Council of CanadaOntario Research Foundation
KeywordsChemistryPhenylboronic acidCopolymerMicellePolymerBoronic acidMethacrylic acidMethacrylatePolymerizationPhenolPolymer chemistryCombinatorial chemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Radiolabeling a protein, molecule, or polymer can provide accurate and precise quantification in biochemistry, biomaterials, pharmacology, and drug delivery research. Herein, we describe a method to 125I label two different polymers for precise quantification in different applications. The surfaces of model contact lenses were modified with phenylboronic acid to bind and release the natural polymer, hyaluronic acid (HA); HA uptake and release were quantified by radiolabeling. In the second example, the in vivo distribution of a mucoadhesive micelle composed of the block copolymer of poly(lactide)-b-poly(methacrylic acid-co-acrylamidophenylboronic acid) was investigated. The presence of phenyl boronic acid groups (PBA), which bind to mucosal surfaces, was proposed to improve the retention of the micelle. 125I labeling of polymers was examined for quantification of microgram amounts of HA present on a contact lens or to evaluate the enhanced retention of PBA micelles on mucosal surfaces in vivo. The introduction of phenol groups onto the polymers allowed for the labeling. HA was modified with phenol groups through a coupling reaction of its carboxylic acid with hydroxybenzylamine. Phenol functional block copolymer micelles with and without PBA were synthesized by including N-(4-hydroxyphenethyl)acrylamide during polymerization. The phenol groups of HA and the block copolymers were labeled with 125I using a modified ICl labeling method. 125I labeling enabled quantification of HA loading and release including the effect of varying amounts of PBA on the contact lens surfaces. Micelles made from 125I-labeled block copolymers with and without PBA were administered intranasally to Brown Norway rats. The animals were sacrificed either immediately after or 4 h after their last nasal instillation, and the nasopharyngeal tissues were removed and quantified. Radioactivity measurements demonstrated that the presence of the PBA mucosal binding groups led to approximately four times higher retention. The HA and block copolymer 125I labeling presented in this article demonstrates the utility of the method for quantification and tracking of microgram quantities of polymers in diverse applications.

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 score0.051
Threshold uncertainty score0.471

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 head0.014
GPT teacher head0.275
Teacher spread0.261 · 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

Citations3
Published2022
Admission routes2
Has abstractyes

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