Evidence map›Paper›PMID 36210923›Full record

ReviewACS applied nano materials2022

Label-Free Sensing with Metal Nanostructure-Based Surface-Enhanced Raman Spectroscopy for Cancer Diagnosis.

Marios Constantinou, Katerina Hadjigeorgiou, Sara Abalde-Cela, Chrysafis Andreou

Open access · greenAbstract readReview
In one paragraph

Review in ACS applied nano materials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 59 citations in OpenAlex.

  1. Pooled it
  2. Review
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  6. Review
  7. Article
  8. Rapid profiling of carcinogenic types ofComputational and structural biotechnology journal · 2024
    Article
  9. Review
  10. Plasmonic Gold Prism Array for Digital Surface-Enhanced Raman Spectroscopy Sensing.The journal of physical chemistry. C, Nanomaterials and interfaces · 2024
    Article
  11. Article
  12. Review
  13. Review
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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 2 institutions in 2 countries.

Marios ConstantinouDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus.ORCID https://orcid.org/0000-0003-2083-1437
Katerina HadjigeorgiouDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus.
Sara Abalde-CelaInternational Iberian Nanotechnology Laboratory, Avenida Mestre José Veiga s/n, Braga 4715-330, Portugal.ORCID https://orcid.org/0000-0001-5615-594X
Chrysafis AndreouDepartment of Electrical and Computer Engineering, University of Cyprus, Nicosia, 2112, Cyprus.ORCID https://orcid.org/0000-0002-3464-9110
University of Cyprus · CYInternational Iberian Nanotechnology Laboratory · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-Enhanced Raman Spectroscopy (SERS) is a powerful analytical technique for the detection of small analytes with great potential for medical diagnostic applications. Its high sensitivity and excellent molecular specificity, which stems from the unique fingerprint of molecular species, have been applied toward the detection of different types of cancer. The noninvasive and rapid detection offered by SERS highlights its applicability for point-of-care (PoC) deployment for cancer diagnosis, screening, and staging, as well as for predicting tumor recurrence and treatment monitoring. This review provides an overview of the progress in label-free (direct) SERS-based chemical detection for cancer diagnosis with the main focus on the advances in the design and preparation of SERS substrates on the basis of metal nanoparticle structures formed via bottom-up strategies. It begins by introducing a synopsis of the working principles of SERS, including key chemometric approaches for spectroscopic data analysis. Then it introduces the advances of label-free sensing with SERS in cancer diagnosis using biofluids (blood, urine, saliva, sweat) and breath as the detection media. In the end, an outlook of the advances and challenges in cancer diagnosis via SERS is provided.

Identifiers

PMID36210923
PMCPMC9534173
OpenAlexW4292615948

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.