Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 242

The DOI matches its Crossref record.

Salt Effects on the Thermoprecipitation of Poly-(N-isopropylacrylamide) Oligomers from Aqueous Solution

Freitag, Ruth, Garret-Flaudy, Frédéric·2002·Langmuir

Abstract

Simple salts are known to influence the cloud point temperature of the aqueous solution of thermoresponsive compounds, such as poly-( N -isopropylacrylamide), PNIPAM. The effect of one series of anions (six potassium salts) and two series of cations (five alkali-metal hydroxides and chlorides, respectively) on the cloud point temperature of PNIPAM oligomers is investigated. All salts with the exception of low (<0.5 M) concentrations of KI are found to lower the cloud point temperature; the relationship between the temperature and the concentration of the added salt tends to be linear. The intensity of the effect of a given salt corresponds to its position in the Hoffmeister series. However, while the anions differ significantly in force, the cations−with the exception of Li + −show little difference in this regard. The observed effects are interpreted based on the structure making/structure breaking potential of the involved ions as evidenced by their viscosity B coefficients. While a relationship could be established for the anions this is less obvious for the cations. Moreover, while the structure breaking ability of the I - - anion to some extent explains its salting in ability at low concentrations, it does not account for the linear salting out effect observed at higher concentrations. The second attempt to interpret the results is based on the solvophobic theory, i.e., takes the contribution of both electrostatic and hydrophobic interactions into account. Thermodynamic data on the phase separation obtained through differential scanning calorimetry are used to calculate the unitary free Gibbs energy as a function of the molal salt concentration.

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 · 10.1021/la0106440

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

Metadata

Authors
Freitag, R., & Garret-Flaudy, F.
Venue
Langmuir
Published
2002-04-01
Volume
18
Issue
9
Pages
3434-3440
ISSN
  • 0743-7463 (ISSN-L)
  • 1520-5827
OpenAlex
W2003734409
Cited by
242
References
0
FWCI
4.21
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

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.