Evidence map›Paper›PMID 33395272›Full record

ArticleACS nano2021

How Reactivity Variability of Biofunctionalized Particles Is Determined by Superpositional Heterogeneities.

Rafiq M Lubken, Arthur M de Jong, Menno W J Prins

Abstract read
In one paragraph

Article in ACS nano, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  16. Imaging and Localization of Single Emitters near Plasmonic Particles of Different Size, Shape, and Material.The journal of physical chemistry. C, Nanomaterials and interfaces · 2021
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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

3 authors.

Rafiq M LubkenDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AP, The Netherlands.ORCID 0000-0001-7554-1141
Arthur M de JongDepartment of Applied Physics, Eindhoven University of Technology, Eindhoven 5612 AP, The Netherlands.ORCID 0000-0001-6019-7333
Menno W J PrinsDepartment of Biomedical Engineering, Eindhoven University of Technology, Eindhoven 5612 AP, The Netherlands.ORCID 0000-0002-9788-7298

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The biofunctionalization of particles with specific targeting moieties forms the foundation for molecular recognition in biomedical applications such as targeted nanomedicine and particle-based biosensing. To achieve a high precision of targeting for nanomedicine and high precision of sensing for biosensing, it is important to understand the consequences of heterogeneities of particle properties. Here, we present a comprehensive methodology to study with experiments and simulations the collective consequences of particle heterogeneities on multiple length scales, called superpositional heterogeneities, in generating reactivity variability per particle. Single-molecule techniques are used to quantify stochastic, interparticle, and intraparticle variabilities, in order to show how these variabilities collectively contribute to reactivity variability per particle, and how the influence of each contributor changes as a function of the system parameters such as particle interaction area, the particle size, the targeting moiety density, and the number of particles. The results give insights into the consequences of superpositional heterogeneities for the reactivity variability in biomedical applications and give guidelines on how the precision can be optimized in the presence of multiple independent sources of variability.

Indexed as

biofunctionalizationbiosensingheterogeneityparticlesreactivity variabilitytargeted nanomedicine

Identifiers

PMID33395272
PMCPMC7844819

What OpenQuestion holds

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Registered trials

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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.