Evidence map›Paper›PMID 42563055›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Supra-Nanoparticle Assemblies of Quantum Dots for Extracellular Immunolabeling.

Ghinwa H Darwish, Paula Fernández-Gómez, Valle Palomo, W Russ Algar

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Article in Methods in molecular biology (Clifton, N.J.), 2026. 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
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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.

No citing paper in PubMed yet.

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

4 authors.

Ghinwa H DarwishDepartment of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC, V6T 1Z1, Canada.
Paula Fernández-GómezInstituto Madrileño de Estudios Avanzados en Nanociencia (IMDEA Nanociencia),, C/ Faraday 9, 28049, Madrid, Spain.
Valle PalomoInstituto Madrileño de Estudios Avanzados en Nanociencia (IMDEA Nanociencia),, C/ Faraday 9, 28049, Madrid, Spain.
W Russ AlgarDepartment of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, BC, V6T 1Z1, Canada. algar@chem.ubc.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With their exceptional fluorescence properties, colloidal semiconductor quantum dots (QDs) are powerful tools for bioanalysis and imaging. Examples of these properties include broad absorption spectra, narrow emission spectra, and both superior resistance to photobleaching and higher brightness than fluorescent dyes and proteins. Nevertheless, demanding applications, such as the detection of low-abundance biomarkers, single-particle tracking, and point-of-care diagnostics with low-cost portable devices, will benefit from even higher brightness. With their size-dependent optical properties, amplifying the brightness of QDs is not a simple matter of increasing the nanocrystal size. Instead, multiple copies of QDs must be assembled into a larger nanoparticle (NP) entity. In this chapter, we describe methods for the preparation and characterization of supra-nanoparticle assemblies of QDs (supra-QDs). The supra-QDs feature many individual QDs bound to a silica NP scaffold and are functionalized with dextran to improve colloidal stability. Both pure colors and composite colors of supra-QD are possible. We also describe two methods for the selective immunofluorescent labeling of an extracellular biomarker with supra-QDs: the use of tetrameric antibody complexes (TAC) and covalently linked supra-QD-antibody conjugates.

Indexed as

NanoparticlesQuantum DotsAnimalsDextransFluorescent Antibody TechniqueHumansSilicon DioxideDextransSilicon DioxideCell imagingDextranImmunolabelingQuantum dotSilica nanoparticleTetrameric antibody complex

Identifiers

PMID42563055

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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.