MétaCan
Menu
Back to cohort
Record W4366257359 · doi:10.1021/accountsmr.3c00025

Supramolecular Cucurbit[7]uril@Ferrocene Complexation on Surface: From Nanostructure Differentiation to Guest Quantitation

2023· article· en· W4366257359 on OpenAlexafffund
Qi Lin, Ruibing Wang, Hua‐Zhong Yu

Bibliographic record

VenueAccounts of Materials Research · 2023
Typearticle
Languageen
FieldEngineering
TopicMolecular Junctions and Nanostructures
Canadian institutionsSimon Fraser University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSupramolecular chemistryFerroceneRedoxChemistryCucurbiturilCombinatorial chemistryElectrochemistryBiosensorNanotechnologyMolecular bindingMoleculeMaterials scienceElectrodeOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

Conspectus Cucurbit[7]uril (CB[7]), an important member of the macrocyclic cucurbit[ n ]uril host family, has attracted much attention due to its ability to form ultrastable inclusion complexes with aromatic or “ring”-structured compounds. In particular, for the CB[7]@ferrocene (Fc) host–guest complex, its exceptionally high binding affinity, ideal redox activity, and extreme stability against biological media have promoted its potential to substitute traditional natural binding pairs (antigen/antibody and biotin/avidin complexes as examples) in many biochemical applications, such as purification, labeling, and biomolecular assembly. In recent years, the immobilization of CB[7]@Fc host–guest complex on electrode surface via various strategies has expanded its use for fabricating electroactive biofunctional devices, such as electrochemical biosensors and switches, where the redox response of Fc/Fc + can be used as both characterization and sensing signal. These applications require in-depth understanding of the interfacial CB[7]@Fc host–guest binding behavior, which is different from that in a homogeneous solution phase; such studies, in turn, will facilitate the design and development of more efficient interfacial host–guest binding systems. With the advantages of easy preparation, high stability, and reversible redox response, ferrocenyl alkanethiolate self-assembled monolayers (SAMs) on gold have been widely employed as an electroanalytical platform for studying electron transfer behavior and molecular interactions (i.e., ion pairing) and probing microenvironmental changes. In order to achieve an “ideal” redox response for these applications (e.g., a single pair of redox peaks), mixed Fc-alkanethiolate SAMs with low Fc coverage are usually prepared, where the influences from different structural domains and nonuniform distribution of Fc terminal groups in the SAM are minimized. In the past decade, our team has been exploring the renewed applications of Fc-alkanethiolate SAMs, while performing characterizations of their structural properties by electrochemistry and other surface techniques. In particular, we employed redox-active Fc-alkanethiolate SAMs to quantitatively study the interfacial CB[7]@Fc host–guest binding and explored a range of applications for nanostructure differentiation, long-range electron transfer regulation, and quantitation of non-redox-active guests. Besides, we have extended our electrochemical study of interfacial CB[7]@Fc host–guest binding with CB[7]-terminated alkanethiolate SAMs, where the electrochemical quantitation of the CB[7]@Fc host–guest complex formed on an electrode surface becomes straightforward. In this Account, we first provide a brief literature review of the CB[7]@Fc host–guest chemistry, including fundamental studies in solution as well as the challenges for its application on surfaces. Subsequently, we describe our studies of interfacial CB[7]@Fc host–guest complexation on binary SAMs on gold, including fundamental voltammetric evaluation of binding thermodynamics and kinetics, as well as its applications. Lastly, we introduce our recent electrochemical study on interfacial CB[7]@Fc complexation by tethering CB[7] on alkanethiolate SAMs (via click chemistry). These research accomplishments shed light on the profound ability of forming interfacial CB[7]@Fc host–guest binding systems for both fundamental studies and practical applications; the knowledge obtained herein paves the way to further understanding of surface-immobilized supramolecular host–guest systems.

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 score0.064
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.044
GPT teacher head0.327
Teacher spread0.283 · 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

Citations17
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueAccounts of Materials ResearchSame topicMolecular Junctions and NanostructuresFrench-language works237,207