MétaCan
Menu
Back to cohort
Record W2883502177 · doi:10.21967/jbb.v3i3.127

Isolation and characterization of lignin extracted from corn stalk rind with organic acids

2018· article· en· W2883502177 on OpenAlexvenueno aff
Qingzhi Ma, Zhiyong Li, Lifang Guo, Yan Zhang, Pengfei Wang, Jianfeng Xi, Hao Ren, Huaming Zhai

Bibliographic record

VenueJournal of Bioresources and Bioproducts · 2018
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsnot available
Fundersnot available
KeywordsLigninChemistryBiorefineryStalkGel permeation chromatographyOrganic chemistryEtherFerulic acidChromatographyRaw materialPolymer

Abstract

fetched live from OpenAlex

Lignin was extracted from corn stalk rind with organic acids based on the concept of biorefinery. The optimum conditions for precipitating lignin from the concentrated spent liquor of the biorefinery process were achieved at pH of 1.68-1.72 by the addition of water. Considerable amount of sugars, uronic acids and proteins were found in the isolated lignin, which had acid-endurable linkages with lignin. The lignin was characterized by Fourier transform infrared (FT-IR), 13 C Nuclear magnetic resonance ( 13 C NMR) and Gel permeation chromatography (GPC). The phenolic hydroxyl and carboxyl group contents of the lignin were measured to be 0.45 mmol/g and 0.41 mmol/g, respectively. The lignin of corn stalk rind was found to be of guaiacyl (G), syringyl (S) and p-hydroxyphenyl (H) lignin. Acetylation and condensation reactions occurred during the biorefinery process. ρ-coumaric acids were found to be esterified with lignin, whereas ferulic acids were mainly linked to lignin by phenolic groups via ether bonds. The weight-average and number-average molecular weight of the lignin were 2830 g/mol and 994 g/mol, respectively.

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 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 score0.053
Threshold uncertainty score0.272

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.167
Teacher spread0.163 · 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.

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bioresources and BioproductsSame topicLignin and Wood ChemistryFrench-language works237,207