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Record W2016325826 · doi:10.1021/la7017727

DNA-Passivated CdS Nanocrystals:  Luminescence, Bioimaging, and Toxicity Profiles

2007· article· en· W2016325826 on OpenAlex
Nan Ma, Jun Yang, Kelly M. Stewart, Shana O. Kelley

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

VenueLangmuir · 2007
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLuminescenceNanocrystalLigand (biochemistry)Nucleic acidQuantum dotNanotechnologyOligonucleotideDNANanoparticleIonic strengthHeLaChemistryMaterials scienceAqueous solutionIonic bondingIonCellOrganic chemistryBiochemistryOptoelectronics

Abstract

fetched live from OpenAlex

A class of luminescent semiconductor quantum dots is described that exhibit low cellular toxicity without the use of bulky surface coatings. Nucleic acids, either in the form of mononucleotides or DNA oligonucleotides, are used as a ligand system in the aqueous synthesis of CdS nanocrystals. The materials produced exhibit diameters on the order of 4 nm and luminescence in the range of 500-700 nm. Importantly, DNA-CdS is stable in buffers of high ionic strength for many hours. When tested for toxicity in HeLa cells, minimal decreases in cell viability were observed, indicating that the DNA-CdS nanocrystals are highly stable in biological media. Uptake of the nanocrystals into unfixed mammalian cells was tested, and internalization was observed. The results reported indicate that the use of DNA as a ligand system for water-soluble semiconductor nanocrystals represents a worthwhile strategy for the production of new biological imaging agents.

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)0.001
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 score0.031
Threshold uncertainty score0.514

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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