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Record W2150740969 · doi:10.1139/v02-132

An effective strategy for structural elucidation of oligosaccharides through NMR spectroscopy combined with peracetylation using doubly <sup>13</sup>C-labeled acetyl groups

2002· article· en· W2150740969 on OpenAlexvenueno aff
Brad Bendiak, Tammy T. Fang, David N. M. Jones

Bibliographic record

VenueCanadian Journal of Chemistry · 2002
Typearticle
Languageen
FieldChemistry
TopicCarbohydrate Chemistry and Synthesis
Canadian institutionsnot available
FundersNational Cancer InstituteMizutani Foundation for Glycoscience
KeywordsChemistryGlycosidic bondNuclear magnetic resonance spectroscopyCarbohydrate conformationRing (chemistry)SpectroscopyMonosaccharideDephasingStereochemistryComputational chemistryNuclear magnetic resonanceOrganic chemistry

Abstract

fetched live from OpenAlex

The use of NMR spectroscopy for the elucidation of larger carbohydrate structures isolated from natural sources is principally limited by severe overlap of 1 H signals, poor sensitivity when experiments involve 13 C nuclei, and difficulties in conclusively establishing linkage positions. Peracetylation of oligosaccharides with doubly 13 C-labeled acetyl groups provides several major advantages for their structural elucidation when combined with specifically tailored NMR pulse sequences. The 2.5–4.7 Hz J-coupling constants between acetyl carbonyl- 13 C nuclei and protons of the sugar ring at the sites of acetylation enables these sites to be readily assigned. By inference, glycosidic linkage positions on monosaccharides can be unambiguously determined. This can be used in lieu of permethylation analysis, yet does not require degradation of oligosaccharides. Spectral dispersion in the directly detected ( 1 H) dimension is increased ~2.6–2.7-fold due to the downfield shifting of sugar-ring protons at the positions of acetylation. Peracetylation also introduces three new frequency dimensions for NMR studies, namely the 13 CO, 13 C Me , and 1 H Me frequencies of the acetyl groups. These frequencies can be correlated to sugar protons, either independently or in combination, in alternative 2-, 3-, or 4-D experiments. The use of Hartmann–Hahn coherence transfer combined with zero-quantum dephasing periods permits purely absorptive in-phase multiplets to be extracted and enables accurate scalar couplings between ring protons to be measured, even in multidimensional experiments. Results are illustrated on a nonasaccharide-alditol derived from N-linked glycoproteins and on some smaller structures containing sialic acids and N-acetylhexosamines. Methods for small-scale sample acetylation using the superacylation catalyst, 4-dimethylamino pyridine, are described. A brief historical perspective pertinent to the fundamental contributions of Dr. R.U. Lemieux to the field of carbohydrate NMR is also presented.Key words: NMR, oligosaccharides, peracetylation, doubly 13 C-labeled acetyl groups, tailored pulse sequences, heteronuclear Hartmann–Hahn.

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), Insufficient payload (model declined to judge)
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 score0.006
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.245
Teacher spread0.226 · 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

Citations24
Published2002
Admission routes1
Has abstractyes

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