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Record W7071792188

Synthesıs of new compounds wıth o···c and o···h ınteractıons

2015· other· tr· W7071792188 on OpenAlexfundno aff

Bibliographic record

VenueMarmara University Open Access System · 2015
Typeother
Languagetr
FieldMedicine
TopicSynthesis of Organic Compounds
Canadian institutionsnot available
FundersTrent UniversityNottingham Trent University
KeywordsSuzuki reactionBenzoic acidBiphenylMoleculeElectrophileLithium (medication)MetalNaphthalene
DOInot available

Abstract

fetched live from OpenAlex

O···C VE O···H ETKİLEŞİMLERİNE SAHİP YENİ BİLEŞİKLERİN SENTEZİ\nBu tez çalışması, çeşitli fonksiyel gruplara sahip naftalen ve bifenil bileşiklerinin sentezini ve nükleofilik-elektrofilik fonsiyonel gruplar arasındaki moleküler etkileşimlerin incelenmesini amaçlamaktadır. \n1.Bölüm, para metil, kloro ve nitro potasyum dibenzoat bileşiklerinin ilgili benzoik asitlerden sentezlenmesini raporlar. Bu bölümde, moleküllerin yapıları çözümlendi ve X-ray kristalografik verileri elde edildi. Hidrojen bağı gibi moleküler etkileşimler tartışıldı.\n2.Bölüm, 1,8-naftaldehit asitten çeşitli metal ve organik tuzlarının sentezlenmesiyle ilgilidir. Metal tuzları olarak lityum ve potasyum tuzları hazırlandı. Molekül yapıları incelendi ve moleküler etkileşimleri önceki çalışmalarda raporlanan sezyum bileşiğiyle karşılaştırıldı. Organik tuzları elde etmek için morfolin, 4-dimetilaminopridin ve 1,1,3,3-tetrametilguanidin gibi bazlarla 1,8-naftaldehit asit reaksiyona sokuldu. Moleküler geometriler X-ray kristalografisiyle aydınlatıldı.\n3.Bölümde Suzuki coupling reaksiyonu gerçekleştirildi. Reaksiyonun ilerleyişi TLC ile izlendi. Ürün kolon kromatografisiyle saflaştırıldı.\n4.Bölüm Suzuki reaksiyoundan elde edilen üründen çeşitli tuzların hazırlanmasıyla ilgilidir. Molekül yapıları NMR verileri kullanılarak tartışıldı.\nMoleküllerin karekterizyonu 1H-NMR, 13C-NMR, FT-IR ve X-Ray kristalografik ölçümlerle elde edildi.\nAnahtar kelimeler: Naftalen, bifenil, nükleofilik, elektrofilik, moleküler etkileşimler, hidrojen bağı, Suzuki coupling.\n\nABSTRACT\nSYNTHESIS OF NEW COMPOUNDS WITH O···C AND O···H INTERACTIONS\nThis thesis work purposes the synthesis of a range of functionalised derivates of naphthalene and biphenyl compounds and investigating of molecular interactions between nucleophilic and electrophilic functional groups.\nSection 1 reports the synthesis of para methyl, chloro and nitro potassium dibenzoate compounds from corresponding benzoic acids. The structures of the molecules were solved and their X-ray crystallographic data were obtained. Molecular interactions such as hydrogen bonding were discussed. \nSection 2 concerned with synthesis of various metal and organic salts from 1,8-naphthalaldehydic acid. Lithium and potassium salts were prepared as metal salts. The structures of the molecules were examined and molecular interactions were compared with the cesium salt which was reported in previous studies. To provide organic salts, 1,8-naphthalaldehydic acid was reacted with a range of organic bases such as morpholine, 4-dimethylaminopyridine and 1,1,3,3-tetramethylguanidine. Molecular geometries were identified by X-Ray crystallography.\nIn section 3, Suzuki coupling reaction was carried out. The progress of the reaction was monitored by TLC. The product of the reaction was purified by columm chromatography.\nSection 4 is involved with preparation of various salts from product of Suzuki reaction. The structures of the molecules were discussed using NMR data.\nThe characterization of the compounds was achieved by 1H-NMR, 13C-NMR, FT-IR and X-Ray crystallography.\nKeywords: Naphthalene, biphenyl, nucleophilic, electrophilic, molecular interactions, hydrogen bond, Suzuki coupling.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.080
GPT teacher head0.336
Teacher spread0.257 · 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 source (direct Gemma or distilled Codex), 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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