Cu(II)-Loaded Polydopamine-Coated Urchin-like Titanate Microspheres as a High-Performance IMAC Adsorbent for Hemoglobin Separation.

Qian Zhang, Linlin Hu, Jianyu Yang, Pengfei Guo, Jinhong Wang, Weifen Zhang

Open access · goldAbstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

0.9field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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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 at 2 institutions in 1 country.

Qian ZhangSchool of Pharmacy, Shandong Second Medical University, Weifang 261053, China.

Linlin HuSchool of Pharmacy, Shandong Second Medical University, Weifang 261053, China.

Jianyu YangSchool of Materials Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China.

Pengfei GuoSchool of Pharmacy, Shandong Second Medical University, Weifang 261053, China.ORCID 0009-0007-2609-9378

Jinhong WangSchool of Pharmacy, Shandong Second Medical University, Weifang 261053, China.

Weifen ZhangSchool of Pharmacy, Shandong Second Medical University, Weifang 261053, China.

Weifang Medical University · CNSuzhou University of Science and Technology · CN

Funding

the National Natural Science Foundation of China No. 81973671the Natural Science Foundation of Shandong Province ZR2022QB024, ZR2023QH012

6 · The paper itself

Abstract

Immobilized metal ion affinity chromatography (IMAC) adsorbents generally have excellent affinity for histidine-rich proteins. However, the leaching of metal ions from the adsorbent usually affects its adsorption performance, which greatly affects the reusable performance of the adsorbent, resulting in many limitations in practical applications. Herein, a novel IMAC adsorbent, i.e., Cu(II)-loaded polydopamine-coated urchin-like titanate microspheres (Cu-PDA-UTMS), was prepared via metal coordination to make Cu ions uniformly decorate polydopamine-coated titanate microspheres. The as-synthesized microspheres exhibit an urchin-like structure, providing more binding sites for hemoglobin. Cu-PDA-UTMS exhibit favorable selectivity for hemoglobin adsorption and have a desirable adsorption capacity towards hemoglobin up to 2704.6 mg g

Indexed as

HemoglobinsImidazolesIndolesPolymersChromatography, AffinityHumansIonsMicrospheresHemoglobinsimidazoleacetic acidImidazolesIndolesIonspolydopaminePolymersadsorbenthemoglobinseparationtitanateurchin-like structure

Identifiers

PMID38611935

DOI10.3390/molecules29071656

PMCPMC11013688

OpenAlexW4394572449

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.