Evidence map›Paper›PMID 39011388›Full record

ReviewInternational journal of nanomedicine2024

Application and Method of Surface Plasmon Resonance Technology in the Preparation and Characterization of Biomedical Nanoparticle Materials.

Jingyao Zhang, Beibei Liu, Hongying Chen, Lingshu Zhang, Xia Jiang

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Review
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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.

Jingyao ZhangCore Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Beibei LiuCore Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Hongying ChenCore Facilities of West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Lingshu ZhangDepartment of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.
Xia JiangDivision of Biliary Tract Surgery, Department of General Surgery and Regenerative Medicine Research Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, People's Republic of China.ORCID 0000-0003-3283-5275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface Plasmon Resonance (SPR) technology, as a powerful analytical tool, plays a crucial role in the preparation, performance evaluation, and biomedical applications of nanoparticles due to its real-time, label-free, and highly sensitive detection capabilities. In the nanoparticle preparation process, SPR technology can monitor synthesis reactions and surface modifications in real-time, optimizing preparation techniques and conditions. SPR enables precise measurement of interactions between nanoparticles and biomolecules, including binding affinities and kinetic parameters, thereby assessing nanoparticle performance. In biomedical applications, SPR technology is extensively used in the study of drug delivery systems, biomarker detection for disease diagnosis, and nanoparticle-biomolecule interactions. This paper reviews the latest advancements in SPR technology for nanoparticle preparation, performance evaluation, and biomedical applications, discussing its advantages and challenges in biomedical applications, and forecasting future development directions.

Indexed as

NanoparticlesSurface Plasmon ResonanceDrug Delivery SystemsHumansbiomedical applicationscharacterizationnanomaterialsnanoparticlesSPR

Identifiers

PMID39011388
PMCPMC11249113

What OpenQuestion holds

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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.