Evidence map›Paper›PMID 22635043›Full record

ArticleNature materials2012

Plasmonic nanosensors with inverse sensitivity by means of enzyme-guided crystal growth.

Laura Rodríguez-Lorenzo, Roberto de la Rica, Ramón A Álvarez-Puebla, Luis M Liz-Marzán, Molly M Stevens

Erratum issuedAbstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing 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

81 citing papers in PubMed.

  1. Geometry-Controlled Assembly of Self-Standing Nanorods With Undisturbed Plasmonics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. An Acoustofluidic Picoinjector.Sensors and actuators. B, Chemical · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Ultrasensitive Detection of Biomarkers in a Color-Switchable Microcavity-Reactor Laser.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Laura Rodríguez-LorenzoDepartamento de Quimica Fisica, Universidade de Vigo, 36310 Vigo, Spain.
Roberto de la Rica
Ramón A Álvarez-Puebla
Luis M Liz-Marzán
Molly M Stevens

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lowering the limit of detection is key to the design of sensors needed for food safety regulations, environmental policies and the diagnosis of severe diseases. However, because conventional transducers generate a signal that is directly proportional to the concentration of the target molecule, ultralow concentrations of the molecule result in variations in the physical properties of the sensor that are tiny, and therefore difficult to detect with confidence. Here we present a signal-generation mechanism that redefines the limit of detection of nanoparticle sensors by inducing a signal that is larger when the target molecule is less concentrated. The key step to achieve this inverse sensitivity is to use an enzyme that controls the rate of nucleation of silver nanocrystals on plasmonic transducers. We demonstrate the outstanding sensitivity and robustness of this approach by detecting the cancer biomarker prostate-specific antigen down to 10(-18) g ml(-1) (4 × 10(-20) M) in whole serum.

Indexed as

AnimalsBiosensing TechniquesCrystallizationGlucose OxidaseHumansImmunoassayKineticsMetal NanoparticlesNanotechnologyProstate-Specific AntigenSilverGlucose OxidaseProstate-Specific AntigenSilver

Identifiers

PMID22635043

What OpenQuestion holds

Textmetadata
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.