Evidence map›Paper›PMID 36500455›Full record

ArticleMolecules (Basel, Switzerland)2022

Quantitative Sensing of Domoic Acid from Shellfish Using Biological Photonic Crystal Enhanced SERS Substrates.

Subhavna Juneja, Boxin Zhang, Nabila Nujhat, Alan X Wang

Open access · goldAbstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 31% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. 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

4 authors at 2 institutions in 1 country.

Subhavna JunejaSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Boxin ZhangSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Nabila NujhatSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Alan X WangSchool of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA.
Oregon State University · USBaylor University · US

Funding

Rapid Assessment of Drug Abuse from Municipal Wastewater by Smart Surface-Enhanced Raman Scattering TechniqueR41DA051094 · NIDA · E-LAMBDA LLC · PI WANG, ALAN X · 2020 to 2020
$252k
National Science Foundation 1701329NIDA NIH HHS R41 DA051094NIH HHS 1R41DA051094-01Unites States Department of Agriculture 2020-33610-31688
6 · The paper itself

Abstract

Frequent monitoring of sea food, especially shellfish samples, for the presence of biotoxins serves not only as a valuable strategy to mitigate adulteration associated health risks, but could also be used to develop predictive models to understand algal explosion and toxin trends. Periodic toxin assessment is often restricted due to poor sensitivity, multifarious cleaning/extraction protocols and high operational costs of conventional detection methods. Through this work, a simplistic approach to quantitatively assess the presence of a representative marine neurotoxin, Domoic acid (DA), from spiked water and crab meat samples is presented. DA sensing was performed based on surface-enhanced Raman scattering (SERS) using silver nanoparticle enriched diatomaceous earth—a biological photonic crystal material in nature. Distinctive optical features of the quasi-ordered pore patterns in diatom skeleton with sporadic yet uniform functionalization of silver nanoparticles act as excellent SERS substrates with improved DA signals. Different concentrations of DA were tested on the substrates with the lowest detectable concentration being 1 ppm that falls well below the regulatory DA levels in seafood (>20 ppm). All the measurements were rapid and were performed within a measurement time of 1 min. Utilizing the measurement results, a standard calibration curve between SERS signal intensity and DA concentration was developed. The calibration curve was later utilized to predict the DA concentration from spiked Dungeness crab meat samples. SERS based quantitative assessment was further complemented with principal component analysis and partial least square regression studies. The tested methodology aims to bring forth a sensitive yet simple, economical and an extraction free routine to assess biotoxin presence in sea food samples onsite.

Indexed as

Metal NanoparticlesSilverKainic AcidSeafoodSpectrum Analysis, Ramandomoic acidKainic AcidSilverbiosensorchemometric analysismarine biotoxinphotonic crystalsSERS

Identifiers

PMID36500455
PMCPMC9736055
OpenAlexW4310387013

What OpenQuestion holds

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LicenceCC BY
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.