Evidence map›Paper›PMID 35530613›Full record

ArticleRSC advances2019

Specific purification of a single protein from a cell broth mixture using molecularly imprinted membranes for the biopharmaceutical industry.

Wenyuan Xie, Honglei Wang, Yen Wah Tong, Niranjani Sankarakumar, Ming Yin, Defeng Wu, Xiaoli Duan

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2019. 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
0.4field-weighted citation impact, top 42% 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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

7 authors at 4 institutions in 3 countries.

Wenyuan XieInstitute for Innovative Materials and Energy, Yangzhou University Yangzhou 225002 Jiangsu People's Republic of China xiewy@yzu.edu.cn.ORCID https://orcid.org/0000-0003-0438-6521
Honglei WangDepartment of Chemical & Biomolecular Engineering, National University of Singapore Block E5 #02-09, 4 Engineering Drive 4 Singapore 117585 Singapore.
Yen Wah TongDepartment of Chemical & Biomolecular Engineering, National University of Singapore Block E5 #02-09, 4 Engineering Drive 4 Singapore 117585 Singapore.
Niranjani SankarakumarDepartment of Chemical & Biomolecular Engineering, National University of Singapore Block E5 #02-09, 4 Engineering Drive 4 Singapore 117585 Singapore.
Ming YinYangzhou Zhongcheng Nanotech Co, Ltd. 7# Chuangye Road, Guangling District Yangzhou 225000 Jiangsu China.
Defeng WuSchool of Chemistry and Chemical Engineering, Yangzhou University Yangzhou 225002 Jiangsu People's Republic of China.ORCID https://orcid.org/0000-0002-8934-7646
Xiaoli DuanSchool of Chemistry and Materials Science, Ludong University Yantai 264025 People's Republic of China.
National University of Singapore · SGState Council of the People's Republic of China · CNAtotech (United States) · USLudong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A surface imprinting method is presented herein for the development of a highly selective yet highly permeable molecularly imprinted membrane for protein separation and purification. The resultant protein imprinted membrane was shown to exhibit great potential for the efficient separation of the template protein from a binary mixture and a cell lysate solution, while maintaining high transport flux for complementary molecules. Bovine Serum Albumin (BSA) and Lysozyme (Lys) were individually immobilized on a cellulose acetate membrane as template molecules.

Identifiers

PMID35530613
PMCPMC9069334
OpenAlexW2964752674

What OpenQuestion holds

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LicenceCC BY-NC
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.