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Record W4414056205 · doi:10.1016/j.jobab.2025.09.001

Structural insights of sulfoethylated kraft lignin at different drying temperatures

2025· article· en· W4414056205 on OpenAlexafffundvenue
Ameena Bacchus, Weijue Gao, Pedram Fatehi

Bibliographic record

VenueJournal of Bioresources and Bioproducts · 2025
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsLakehead University
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsNorthern Ontario Heritage Fund Corporation
KeywordsLigninAlkylationKraft paperSulfonic acidGlass transitionHydrolysisSolubilityAcid hydrolysis

Abstract

fetched live from OpenAlex

Sulfonated lignin has potential applications in various fields, including wastewater treatment, the textile industry, and construction. Although the reaction chemistry of sulfonated lignin has been well studied, the method of drying this material after synthesis has not been evaluated. In this study, sulfoethylated kraft lignin (SEKL) was synthesized as a representative sulfonated lignin to investigate the impact of drying temperature on its structure and properties. For SEKL, freeze-drying at –55 °C resulted in the highest charge density, water-solubility, and more uniform chemical structures. The sulfonic acid groups underwent alkylation reaction after the sample was oven-dried at 55 and 80 °C, which was accompanied by a reduction in solubility and charge density of the sample, as well as an increase in glass transition temperature. Furthermore, the sample after drying at higher temperatures of 105 and 130 °C not only exhibited the alkylation but also underwent hydrolysis of the sulfonic acid groups at the phenolic position of lignin. This change was accompanied by a further reduction in molecular weight, solubility, and charge density, as well as a decrease in the glass transition temperature. It was found that the alkylation and hydrolysis of SEKL occurred to varying degrees, and higher temperatures promoted hydrolysis. Based on the results of this work, drying temperature has a significant effect on the properties of the SEKL sample, implying that it must be taken into account when considering its application in different fields.

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 score0.016
Threshold uncertainty score0.424

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 head0.190
Teacher spread0.186 · 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
Published2025
Admission routes3
Has abstractyes

Explore more

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