Cited by 63Gold and Silver Nanoparticles Synthesis and ApplicationsPlasmonic and Surface Plasmon ResearchBiosensors and Analytical Detection

Recent Advances in the Fabrication and Functionalization of Flexible Optical Biosensors: Toward Smart Life-Sciences Applications

Open access
Miranda, Bruno, Rea, Ilaria, Dardano, Principia, De Stefano, Luca, Forestiere, Carlo·2021·Biosensors

Abstract

Over the last 30 years, optical biosensors based on nanostructured materials have obtained increasing interest since they allow the screening of a wide variety of biomolecules with high specificity, low limits of detection, and great sensitivity. Among them, flexible optical platforms have the advantage of adapting to non-planar surfaces, suitable for in vivo and real-time monitoring of diseases and assessment of food safety. In this review, we summarize the newest and most advanced platforms coupling optically active materials (noble metal nanoparticles) and flexible substrates giving rise to hybrid nanomaterials and/or nanocomposites, whose performances are comparable to the ones obtained with hard substrates (e.g., glass and semiconductors). We focus on localized surface plasmon resonance (LSPR)-based and surface-enhanced Raman spectroscopy (SERS)-based biosensors. We show that large-scale, cost-effective plasmonic platforms can be realized with the currently available techniques and we emphasize the open issues associated with this topic.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3390/bios11040107

Cites

133 of 133 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Miranda, B., Rea, I., Dardano, P., De Stefano, L., & Forestiere, C.
Affiliations
  • National Research Council (IT)
  • Institute of Applied Sciences and Intelligent Systems, Unit of Naples, National Research Council, Via P. Castellino 111, 80131 Napoli, Italy
  • University of Naples Federico II (IT)
Venue
Biosensors
Publisher
MDPI AG
Published
2021-04-04
Volume
11
Issue
4
Pages
107
ISSN
2079-6374 (ISSN-L)
OpenAlex
W3149528312
Cited by
63
References
133
Citations by year
2026: 8 · 2025: 11 · 2024: 15 · 2023: 13 · 2022: 14 · 2021: 2
FWCI
0.72
Type
journal article
Language
en
Open access
Locations
  • Biosensors (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Physical Sciences › Materials Science › Electronic, Optical and Magnetic Materials › Gold and Silver Nanoparticles Synthesis and Applications
  • Physical Sciences › Engineering › Biomedical Engineering › Plasmonic and Surface Plasmon Research
  • Physical Sciences › Engineering › Biomedical Engineering › Biosensors and Analytical Detection
Keywords
plasmonic biosensors, localized surface plasmon resonance, surface-enhanced Raman spectroscopy, noble metal nanoparticles, flexible substrates, nanocomposites, hybrid nanostructures, in vivo monitoring, food safety, real-time disease monitoring
MeSH terms
Biological Science Disciplines, Spectrum Analysis, Raman, Biosensing Techniques, Surface Plasmon Resonance, Nanocomposites, Metal Nanoparticles

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review