Evidence map›Paper›PMID 35683833›Full record

ArticlePolymers2022

Preparation of Rosin-Based Composite Membranes and Study of Their Dencichine Adsorption Properties.

Long Li, Xiuyu Liu, Lanfu Li, Sentao Wei, Qin Huang

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Long LiSchool of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.
Xiuyu LiuSchool of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.ORCID 0000-0001-8905-8580
Lanfu LiSchool of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.
Sentao WeiSchool of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.
Qin HuangSchool of Chemistry and Chemical Engineering, Guangxi Minzu University, Nanning 530006, China.

Funding

National Natural Science Foundation of China 31860192the China Postdoctoral Science Foundation 2020M683209the Natural Science Foundation of Guangxi 2020GXNSFBA159009the Opening Project of Guangxi Key Laboratory of Clean Pulp & Papermaking and Pollution Control 2019KF28the Scientific Research Foundation of Guangxi Minzu University 2019KJQD10
6 · The paper itself

Abstract

In this work, rosin-based composite membranes (RCMs) were developed as selective sorbents for the preparation of dencichine for the first time. The rosin-based polymer microspheres (RPMs) were synthesized using 4-ethylpyridine as a functional monomer and ethylene glycol maleic rosinate acrylate as a crosslinking. RCMs were prepared by spinning the RPMs onto the membranes by electrostatic spinning technology. The optimization of various parameters that affect RCMs was carried out, such as the ratio concentration and voltage intensity of electrospinning membrane. The RCMs were characterized by SEM, TGA and FT-IR. The performances of RCMs were assessed, which included adsorption isotherms, selective recognition and adsorption kinetics. The adsorption of dencichine on RCMs followed pseudo-second-order and adapted Langmuir-Freundlich isotherm model. As for the RCMs, the fast adsorption stage appeared within the first 45 min, and the experimental maximum adsorption capacity was 1.056 mg/g, which is much higher than the previous dencichine adsorbents reported in the literature. The initial decomposition temperature of RCMs is 297 °C, the tensile strength is 2.15 MPa and the elongation at break is 215.1%. The RCMs have good thermal stability and mechanical properties. These results indicated that RCMs are a tremendously promising adsorbent for enriching and purifying dencichine from the notoginseng extracts.

Indexed as

dencichineelectrostatic spinning technologynotoginseng extractsrosin-based composite membranes

Identifiers

PMID35683833
PMCPMC9183177

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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.