Evidence map›Paper›PMID 38611253›Full record

ArticlePolymers2024

Effect of Environmental pH on the Mechanics of Chitin and Chitosan: A Single-Molecule Study.

Song Zhang, Yunxu Ji, Yiwei He, Juan Dong, Haohang Li, Shirui Yu

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

6 authors.

Song ZhangDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.
Yunxu JiDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.
Yiwei HeDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.
Juan DongDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.
Haohang LiDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.
Shirui YuDepartment of Food Science and Engineering, Moutai Institute, Renhuai 564502, China.

Funding

Guizhou Provincial Education Department KY2020]022
6 · The paper itself

Abstract

Chitin and chitosan are important structural macromolecules for most fungi and marine crustaceans. The functions and application areas of the two molecules are also adjacent beyond their similar molecular structure, such as tissue engineering and food safety where solution systems are involved. However, the elasticities of chitin and chitosan in solution lack comparison at the molecular level. In this study, the single-molecule elasticities of chitin and chitosan in different solutions are investigated via atomic force microscope (AFM) based single-molecule spectroscopy (SMFS). The results manifest that the two macromolecules share the similar inherent elasticity in DOSM due to their same chain backbone. However, obvious elastic deviations can be observed in aqueous conditions. Especially, a lower pH value (acid environment) is helpful to increase the elasticity of both chitin and chitosan. On the contrary, the tendency of elastic variation of chitin and chitosan in a larger pH value (alkaline environment) shows obvious diversity, which is mainly determined by the side groups. This basic study may produce enlightenment for the design of intelligent chitin and chitosan food packaging and biomedical materials.

Indexed as

biomacromoleculeschitinchitosanmechanical properties

Identifiers

PMID38611253
PMCPMC11014069
OpenAlexW4393989052

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.