Evidence map›Paper›PMID 37053440›Full record

ArticleACS sensors2023

Robust Rules for Optimal Colorimetric Sensing Based on Gold Nanoparticle Aggregation.

José Luis Montaño-Priede, María Sanromán-Iglesias, Nerea Zabala, Marek Grzelczak, Javier Aizpurua

Abstract read
In one paragraph

Article in ACS sensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Optical Bionanosensors for Sepsis Diagnostics.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  9. Article
  10. Review
  11. Article
  12. Article
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  15. 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

5 authors.

José Luis Montaño-PriedeDepartment of Electricity and Electronics, FCT-ZTF, UPV-EHU, 48080 Bilbao, Spain.
María Sanromán-IglesiasCentro de Física de Materiales, (CSIC-UPV/EHU), Paseo Manuel de Lardizabal 5, 20018 Donostia-Sebastián, Spain.
Nerea ZabalaDepartment of Electricity and Electronics, FCT-ZTF, UPV-EHU, 48080 Bilbao, Spain.
Marek GrzelczakDonostia International Physics Center, Paseo Manuel de Lardizabal 4, 20018 Donostia-Sebastián, Spain.ORCID 0000-0002-3458-8450
Javier AizpuruaDonostia International Physics Center, Paseo Manuel de Lardizabal 4, 20018 Donostia-Sebastián, Spain.ORCID 0000-0002-1444-7589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spurred by outstanding optical properties, chemical stability, and facile bioconjugation, plasmonic metals have become the first-choice materials for optical signal transducers in biosensing. While the design rules for surface-based plasmonic sensors are well-established and commercialized, there is limited knowledge of the design of sensors based on nanoparticle aggregation. The reason is the lack of control over the interparticle distances, number of nanoparticles per cluster, or multiple mutual orientations during aggregation events, blurring the threshold between positive and negative readout. Here we identify the geometrical parameters (size, shape, and interparticle distance) that allow for maximizing the color difference upon nanoparticle clustering. Finding the optimal structural parameters will provide a fast and reliable means of readout, including unaided eye inspection or computer vision.

Indexed as

GoldMetal NanoparticlesColorimetryGoldclusteringcolor differencecolorimetric sensinggeometrical parametersgold nanoparticlesHSV color spacenumerical spectraRGB color space

Identifiers

PMID37053440
PMCPMC10152487

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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.