Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 161

The DOI matches its Crossref record.

Alcell® lignin solubility in ethanol–water mixtures

Ni, Y., Hu, Q.·1995·Journal of Applied Polymer Science

Abstract

The lignin solubility in aqueous solutions of different ethanol concentrations was studied. The concept of the solubility parameter was applied to account for the effect of ethanol concentration on the lignin solubility. Experimental results showed that the lignin solubility increased strongly as the ethanol concentration increased from 9.5 to 47.5% then, it increased much more slowly until a maximum was reached at an ethanol concentration of about 70%. Further increase in the ethanol concentration resulted in a slight decrease in the lignin solubility. Based on the lignin molecular formula, the solubility parameter (δ‐value) of the ALCELL® lignin was 13.7 (cal/cm 3)1/2. The δ‐value of aqueous ethanol solutions of increased ethanol concentration was calculated and was found to decrease continuously from 22.31 (cal/cm 3)1/2 for pure water to 12.08 (cal/cm 3)1/2 for pure ethanol. The effect of ethanol concentration on the solubility of the ALCELL lignin was then explained based on the theory that lignin exhibited the maximum solubility when the δ‐value of the solvent was close to that of the ALCELL lignin and the H‐bonding capacity of the solutions with different ethanol concentrations was similar. © 1995 John Wiley & Sons, Inc.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/app.1995.070571203

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 161

Metadata

Authors
Ni, Y., & Hu, Q.
Venue
Journal of Applied Polymer Science
Publisher
Wiley
Published
1995-09-19
Volume
57
Issue
12
Pages
1441-1446
ISSN
  • 0021-8995 (ISSN-L)
  • 1097-4628
OpenAlex
W2072519218
Cited by
161
References
0
FWCI
1.16
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Alcell® lignin solubility in ethanol–water mixtures. https://app.cochat.ai/papers/10.1002/app.1995.070571203
The paper
Ni, Y., & Hu, Q. (1995). Alcell® lignin solubility in ethanol–water mixtures. Journal of Applied Polymer Science. https://doi.org/10.1002/app.1995.070571203

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.