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Record W2030654594 · doi:10.1021/ed083p785

Use of 1H NMR in Assigning Carbohydrate Configuration in the Organic Laboratory

2006· article· en· W2030654594 on OpenAlex

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Chemical Education · 2006
Typearticle
Languageen
FieldChemistry
TopicVarious Chemistry Research Topics
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsChemistrySample preparationNuclear magnetic resonance spectroscopySample (material)Proton NMRChromatographyAnalytical Chemistry (journal)Organic chemistry

Abstract

fetched live from OpenAlex

This article describes a laboratory experiment suitable for an advanced undergraduate organic laboratory class that combines synthetic organic chemistry and 1H NMR in the determination of the identity of a simple carbohydrate. The focus of the laboratory course is the application of modern organic techniques and training in the use of high-resolution NMR in the undergraduate organic laboratory. The experiment described herein combines the cumulative knowledge of both lab technique and NMR sample preparation with data processing. Students are asked to acetylate an unknown methyl glycoside, to purify the product of the reaction by column chromatography, and to prepare and submit a sample for 1H NMR spectroscopy. Each student is required to process the raw FID data to determine the identity of their unknown sugar. The experiment demonstrates the use of the coupling constant in the determination of an unknown structure.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.008
Threshold uncertainty score0.277

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.018
GPT teacher head0.278
Teacher spread0.261 · 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