Evidence map›Paper›PMID 37113565›Full record

ReviewBiophysical reviews2023

Raman spectroscopy for viral diagnostics.

Jijo Lukose, Ajaya Kumar Barik, Mithun N, Sanoop Pavithran M, Sajan D George, V M Murukeshan, Santhosh Chidangil

Open access · hybridAbstract readReview
In one paragraph

Review in Biophysical reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
17.1field-weighted citation impact, top 1% 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

14 citing papers in PubMed, 48 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Non-Markovian Quantum State Diffusion for the tunnelling in SARS-COVID-19 virus.Computational and structural biotechnology journal · 2025
    Article
  10. Article
  11. Multimodal Biosensing of Foodborne Pathogens.International journal of molecular sciences · 2024
    Review
  12. Article
  13. Review
  14. Biophysical reviews · 2023
    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

7 authors at 2 institutions in 2 countries.

Jijo LukoseCentre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.
Ajaya Kumar BarikCentre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.
Mithun NCentre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.
Sanoop Pavithran MCentre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.
Sajan D GeorgeCentre for Applied Nanosciences, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.
V M MurukeshanCentre for Optical and Laser Engineering, School of Mechanical and Aerospace Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798 Singapore, Singapore.
Santhosh ChidangilCentre of Excellence for Biophotonics, Department of Atomic and Molecular Physics, Manipal Academy of Higher Education, 576104 Manipal, India.ORCID 0000-0002-2973-6834
Manipal Academy of Higher Education · INNanyang Technological University · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy offers the potential for fingerprinting biological molecules at ultra-low concentration and therefore has potential for the detection of viruses. Here we review various Raman techniques employed for the investigation of viruses. Different Raman techniques are discussed including conventional Raman spectroscopy, surface-enhanced Raman spectroscopy, Raman tweezer, tip-enhanced Raman Spectroscopy, and coherent anti-Stokes Raman scattering. Surface-enhanced Raman scattering can play an essential role in viral detection by multiplexing nanotechnology, microfluidics, and machine learning for ensuring spectral reproducibility and efficient workflow in sample processing and detection. The application of these techniques to diagnose the SARS-CoV-2 virus is also reviewed. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s12551-023-01059-4.

Indexed as

Point of care applicationsRaman spectroscopyRaman tweezerSARS-CoV-2Surface-enhanced Raman spectroscopyTip-enhanced Raman spectroscopyVirus

Identifiers

PMID37113565
PMCPMC10088700
OpenAlexW4363676216

What OpenQuestion holds

Textmetadata
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.