MétaCan
Menu
Back to cohort
Record W2399871895 · doi:10.1007/978-1-59745-022-5_5

Method for Investigation of Oligosaccharides Using Phenylhydrazine Derivatization

2008· review· en· W2399871895 on OpenAlexaff
Erika Lattová, Hélène Perreault

Bibliographic record

VenueHumana Press eBooks · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlycosylation and Glycoproteins Research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsChemistryPhenylhydrazineDerivatizationChromatographyMass spectrometryTandem mass spectrometryGlycosylationHigh-performance liquid chromatographyElectrosprayGlycanOrganic chemistryBiochemistryGlycoprotein

Abstract

fetched live from OpenAlex

The reaction of carbohydrates with phenylhydrazine provides corresponding phenylhydrazone derivatives, yielding increased sensitivity for mass spectrometry (MS) and ultraviolet (UV) detection during high-performance liquid chromatography (HPLC) separation. After a simple derivatization procedure, 1 h of incubation at 37-70 degrees C, the samples can be analyzed by mass spectrometry techniques or with a combination of MS with HPLC using electrospray (ESI). Another useful aspect of this tagging is shown in the direct determination of glycosylation sites in proteins. Reaction conditions have enabled visualization of glycans next to their "mother peptides", that are otherwise usually not detectable because of suppression by abundant molecular ions of deglycosylated peptides.We have shown that oligosaccharides as phenylhydrazone derivatives under MALDI-tandem mass spectrometry (MS/MS) and post-source decay (PSD) conditions provide very useful data for the structural elucidation of saccharides, including assignment of dominant isomers. Sialylated oligosaccharides also produce B, C fragment ions and cross-ring cleavage fragments comprising sialic acid.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.004

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 head0.207
GPT teacher head0.422
Teacher spread0.214 · 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 designNot applicable
Domainnot available
GenreMethods

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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueHumana Press eBooksSame topicGlycosylation and Glycoproteins ResearchFrench-language works237,207