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Record W3106875737 · doi:10.1002/bbb.2172

Lignin valorization beyond energy use: has lignin's time finally come?

2020· article· en· W3106875737 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

VenueBiofuels Bioproducts and Biorefining · 2020
Typearticle
Languageen
FieldEngineering
TopicLignin and Wood Chemistry
Canadian institutionsWestern University
FundersAgriculture and Agri-Food CanadaNatural Sciences and Engineering Research Council of CanadaConselho Nacional de Desenvolvimento Científico e Tecnológico
KeywordsLigninOrganosolvPulp and paper industryOrganic chemistryCellulosic ethanolPulp (tooth)DepolymerizationChemistryPhenolCelluloseMaterials science

Abstract

fetched live from OpenAlex

Abstract According to an old proverb, ‘ you can make anything out of lignin, except money’. The complexity of lignin's structure and many inferior characteristics of lignin, such as its insolubility in organic solvent and poor reactivity related to it large molecular weight, have posed significant challenges to lignin valorization. Driven mainly by the commercial availability of large amounts of kraft lignin and hydrolysis lignin in kraft pulp mills and cellulosic ethanol plants, there is a pressing need to valorize lignin for high‐value chemical and material products for better overall profitability for the plants, and for the emerging bioeconomy. To this end, we have developed, over 10 years and in several publications, an engineering approach to lignin valorization. This perspective paper provides an overview of this process and concretizes the research achieved in support of lignin valorization. In the method presented, lignin is first de‐polymerized into de‐polymerized lignin (DL) at a high yield and with a tunable M w (weight average molecular weight). The DL is then utilized as a mixture (no separation needed) to substitute directly petroleum‐based phenol (up to 75% substitution), polyols (up to 50% substitution), and bis‐phenol A (100 substitution) in preparation of bio‐based phenolic resins, polyurethane foams, and epoxy resins. The DL products were also used to replace petroleum‐based antioxidants resulting in enhanced thermo‐oxidative and thermal stability of polyethylene in the synthesis of bio‐based resins / plastic composites. This approach has demonstrated both technical and economic feasibility, generating a payback period of approximately 3 years for a commercial capacity of 40 000 t/y. Thus, Lignin valorization beyond energy use can be profitable, and the old proverb may prove wrong. Lignin's time might have finally come! © 2020 Society of Industrial Chemistry and John Wiley & Sons Ltd

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.041
Threshold uncertainty score1.000

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 head0.020
GPT teacher head0.169
Teacher spread0.149 · 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