Evidence map›Paper›PMID 35540110›Full record

ArticleISSS journal of micro and smart systems2022

A review of applications of surface-enhanced raman spectroscopy laser for detection of biomaterials and a quick glance into its advances for COVID-19 investigations.

Vahid Eskandari, Hossein Sahbafar, Leila Zeinalizad, Amin Hadi

Open access · bronzeAbstract read
In one paragraph

Article in ISSS journal of micro and smart systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
10.3field-weighted citation impact, top 2% 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

10 citing papers in PubMed, 40 citations in OpenAlex.

  1. Raman Imaging of Targeted Drug Delivery with DNA-Based Nano-Optical Devices.Small (Weinheim an der Bergstrasse, Germany) · 2024
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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 3 institutions in 1 country.

Vahid EskandariCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
Hossein SahbafarSchool of Mechanical Engineering, College of Engineering, University of Tehran, Tehran, Iran.
Leila ZeinalizadFaculty of Biomedical Engineering, Department of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran.
Amin HadiCellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.ORCID 0000-0003-0668-8398
Yasuj University of Medical Sciences · IRIran University of Science and Technology · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-enhanced Raman spectroscopy (SERS) is one of the most sensitive analytical tools. In some cases, it is possible to record a high-quality SERS spectrum in which even a single molecule is involved. Therefore, SERS is considered a significantly promising option as an alternative to routine analytical techniques used in food, environmental, biochemical, and medical analyzes. In this review, the definitive applications of SERS developed to identify biochemically important species (especially medical and biological) from the simplest to the most complex are briefly discussed. Moreover, the potential capability of SERS for being used as an alternative to routine methods in diagnostic and clinical cases is demonstrated. In addition, this article describes how SERS-based sensors work, addresses its advancements in the last 20 years, discusses its applications for detecting Coronavirus Disease 2019 (COVID-19), and finally describes future works. The authors hope that this article will be useful for researchers who want to enter this amazing field of research.

Indexed as

Biological analytesCancerCellsChemicalsCOVID-19DNAMetal nanoparticlesNanosensorSurface-enhanced Raman spectroscopyTissues

Identifiers

PMID35540110
PMCPMC9070975
OpenAlexW4229011598

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.