Evidence map›Paper›PMID 35424429›Full record

ArticleRSC advances2021

Design of ZIF-based hybrid nanoparticles with hyaluronic acid-augmented ROS behavior for dual-modality PA/NIR-II FL imaging.

Botao Qu, Yahong Han, Juan Li, Qian Wang, Bingyu Zhao, Xiaoyang Peng, Ruiping Zhang

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 1 institution in 1 country.

Botao QuDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.ORCID https://orcid.org/0000-0003-3412-3896
Yahong HanDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.
Juan LiDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.
Qian WangDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.
Bingyu ZhaoDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.
Xiaoyang PengDepartment of Medical Imaging, First Clinical Medical College of Shanxi Medical University Taiyuan 030001 P. R. China.
Ruiping ZhangDepartment of Radiology, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Department of Affiliated Bethune Hospital of Shanxi Medical University Taiyuan 030001 P. R. China zrp_7142@163.com.ORCID https://orcid.org/0000-0001-6922-0747
Shanxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoacoustic (PA) imaging has emerged as a promising bio-imaging technique due to its non-invasive visualization of lesions at great penetration depths. Fluorescence (FL) imaging in the second near-infrared window (NIR-II, 1000-1700 nm) achieves a higher imaging resolution and lower background signals compared to NIR-I. However, the single imaging method possesses its own disadvantages. Thus, we have demonstrated ZIF-8-IR820-MnPc-HA nanoparticles (ZIMH NPs) that can achieve visualization and localization of tumors in mice models with the help of a dual-modality PA/NIR-II FL imaging performance. Meanwhile, these excellent nanoparticles also induce the efficient generation of singlet oxygen (

Identifiers

PMID35424429
PMCPMC8694529
OpenAlexW3124419308

What OpenQuestion holds

Textmetadata
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.