Evidence map›Paper›PMID 31485856›Full record

ReviewMikrochimica acta2019

Gold and silver nanoparticles in resonance Rayleigh scattering techniques for chemical sensing and biosensing: a review.

Riham El-Kurdi, Digambara Patra

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Photonic Nanomaterials for Wearable Health Solutions.Advanced materials (Deerfield Beach, Fla.) · 2025
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Responsive photonic nanopixels with hybrid scatterers.Nanophotonics (Berlin, Germany) · 2022
    Review
  7. Review
  8. Article
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

2 authors.

Riham El-KurdiDepartment of Chemistry, American University of Beirut, Box 11-0236, Riad El Solh, Beirut, PO, 1107 2020, Lebanon.
Digambara PatraDepartment of Chemistry, American University of Beirut, Box 11-0236, Riad El Solh, Beirut, PO, 1107 2020, Lebanon. dp03@aub.edu.lb.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review (with 116 refs.) summarizes the state of the art in resonance Rayleigh scattering (RRS)-based analytical methods. Following an introduction into the fundamentals of RRS and on the preparation of metal nanoparticles, a first large section covers RRS detection methods based on the use of gold nanoparticles, with subsections on proteins (albumin, bovine serum albumin and ovalbumin, glycoproteins, folate receptors, iron binding-proteins, G-proteins-coupled receptors, transmembrane proteins, epidermal growth factor receptors), on pesticides, saccharides, vitamins, heavy metal ions (such as mercury, silver, chromium), and on cationic dyes. This is followed by a section on RRS methods based on the use of silver nanoparticles, with subsections on the detection of nucleic acids and insecticides. Several Tables are presented where an RRS method is compared to the performance of other methods. A concluding section summarizes the current status, addresses current challenges, and gives an outlook on potential future trends. Graphical Abstract Change in the resonance Rayleigh scattering (RRS) intensity when mixing the nanoparticles with the specific analyte.

Indexed as

Scattering, RadiationBiosensing TechniquesCarbohydratesEnvironmental PollutionGoldHumansMetal NanoparticlesMetalsPesticidesProteinsSilverVitaminsCarbohydratesGoldMetalsPesticidesProteinsSilverVitaminsBioanalysisDeterminationHeavy metalsNanomaterialsNanoprobesRRSSpectroscopySynchronous fluorescence scan

Identifiers

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.