Evidence map›Paper›PMID 42799413›Full record

ArticleACS omega2026

Activity-Coefficient-Guided Heuristics for Deep Eutectic Solvent Fractionation of Kraft Lignin.

Gloria Agyapong, Regan Ceaser, C Luke Williams, M Clayton Wheeler, Sampath Gunukula

Abstract read
In one paragraph

Article in ACS omega, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Gloria AgyapongUniversity of Maine, Chemical and Biomedical Engineering, Orono, Maine 04469, United States.
Regan CeaserUniversity of Maine, Chemical and Biomedical Engineering, Orono, Maine 04469, United States.ORCID https://orcid.org/0000-0002-5376-3330
C Luke WilliamsIdaho National Laboratory, Biofuels and Renewable Energy Technology, Idaho Falls, Idaho 83415, United States.ORCID https://orcid.org/0000-0002-1935-0110
M Clayton WheelerUniversity of Maine, Chemical and Biomedical Engineering, Orono, Maine 04469, United States.ORCID https://orcid.org/0000-0003-1113-1324
Sampath GunukulaUniversity of Maine, Chemical and Biomedical Engineering, Orono, Maine 04469, United States.ORCID https://orcid.org/0000-0001-7297-3993

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The valorization of technical lignin requires fractionation strategies that deliver chemically and thermally distinct lignin streams with predictable structure-property relationships while minimizing hazardous solvent use. Here, we propose a preliminary, exploratory thermodynamic design framework for lignin fractionation based on deep eutectic solvents (DESs), using activity coefficients as quantitative descriptors of solvent-solute interactions. Six chloride-based DESs were synthesized and characterized through freezing-point depression, FTIR spectroscopy, and Schröder-Le Chatelier analysis. All eutectic compositions exhibited negative deviations from ideality (γ < 1), consistent with strong hydrogen-bond interactions. Importantly, lignin solubility and solvent stability were highest among the systems studied within an apparent, exploratory activity-coefficient window (0.2 < γ < 1), supporting rational DES pre-screening that should be validated across a broader range of DES chemistries without extensive empirical screening. Guided by these heuristics, two optimized, sulfur-free DESs (ChCl/levulinic acid and tetrabutylammonium chloride/ethylene glycol) were applied in sequential fractionation of industrial softwood kraft lignin, yielding four distinct fractions. Structural and elemental analyses suggested reduced apparent molecular weight, lower methoxyl content, and increased hydrogen content, while thermal analysis showed substantially decreased glass transition temperatures (<100 °C). These results suggest that activity-coefficient-guided DES selection offers a promising strategy for upgrading heterogeneous kraft lignin into thermally compatible fractions, representing an early step toward predictive solvent engineering for lignin valorization.

Identifiers

PMID42799413
PMCPMC13613934

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.