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Record W1991971185 · doi:10.1002/ejlt.201000310

What do we know about the molecular mechanism of 3‐MCPD ester formation?

2010· article· en· W1991971185 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.

Bibliographic record

VenueEuropean Journal of Lipid Science and Technology · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMeat and Animal Product Quality
Canadian institutionsMcGill University
Fundersnot available
KeywordsGlycidolNucleophileChemistryEpoxideProtonationChlorideHydrolysisLeaving groupMedicinal chemistryIonOrganic chemistryCatalysis

Abstract

fetched live from OpenAlex

Abstract The 3‐monochloropropane‐1,2‐diol (3‐MCPD) esters belong to a group of well known process‐induced contaminants derived from mono‐ and di‐chlorinated glycerols. The 3‐MCPD was first identified in 1978 in acid‐hydrolysed vegetable proteins and its corresponding esters in 1980 and since their discovery almost 30 years later the exact mechanism of their formation is still unknown. The recent renewed interest in their formation mechanism can be attributed to the realization that the ester content in real food systems often exceeds that of free 3‐MCPD content by many orders of magnitude. Presently, there are four proposed mechanisms all involving S N 2 nucleophilic attack by chloride ions but differing from each other based on either the nature of the substrate or the leaving group. Two of the proposed mechanisms involve direct nucleophilic attack by the chloride ion at the glycerol carbon atoms carrying either an ester group or a protonated hydroxyl group. The other two pathways propose the formation of reactive intermediates such as acyloxonium ion or an epoxide ring in the form of glycidol prior to the nucleophilic attack by chloride ions.

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)0.003
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 score0.245
Threshold uncertainty score0.271

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.237
Teacher spread0.219 · 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