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Record W3210047681 · doi:10.33715/inonusaglik.941224

ST. JOHN'S WORT (HYPERICUM PERFORATUM L.) FLOWER BASED CARBON/GRAPHENE QUANTUM DOT STRUCTURE PRODUCTION AND CHARACTERIZATION FOR BIOIMAGING AND DRUG DELIVERY SYSTEMS

2021· article· en· W3210047681 on OpenAlexaboutno aff
İdil Karaca Açarı, Yunus Önal

Bibliographic record

Venueİnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu Dergisi · 2021
Typearticle
Languageen
FieldMaterials Science
TopicCarbon and Quantum Dots Applications
Canadian institutionsnot available
Fundersnot available
KeywordsHypericum perforatumGrapheneMaterials scienceNanotechnologyFourier transform infrared spectroscopyChemistryPhysicsOpticsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

In this study, it was aimed to obtain carbon and graphene quantum dot structures from St. John's Wort (Hypericum perforatum L.) flowers, originating from the city of Hatay. Hypericum perforatum L. flower sample was subjected to carbonization at different temperatures such as 200, 225 and 250 ℃ for the desired quantum dot structure yields. It has been observed that the best radiation after carbonization is at 250 ℃. Fourier transform infrared spectrometer, X-ray diffraction and scanning electron microscopy techniques were used to determine the structural characterizations and surface morphology, respectively. The UV radiation of Hypericum perforatum L. flower-based carbon and graphene quantum structures was followed at 365 nm and the blue glow was observed very clearly. With this study, quantum and graphene dot structures based on Hypericum perforatum L. flower have been introduced to the literature for the first time. In addition, the quantum dot structures with blue radiation obtained within the scope of the study will be an alternative reference for many bioimaging and drug delivery system studies.

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 categoriesMeta-epidemiology (narrow)
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 score0.224
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.205
Teacher spread0.197 · 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.

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

Citations1
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueİnönü Üniversitesi Sağlık Hizmetleri Meslek Yüksek Okulu DergisiSame topicCarbon and Quantum Dots ApplicationsFrench-language works237,207