Silica Nanospheres Coated Silver Islands as an Effective Opto-Plasmonic SERS Active Platform for Rapid and Sensitive Detection of Prostate Cancer Biomarkers Article Swipe
Anamika Pandey
,
Subhankar Kumar Sarkar
,
Sumit Kumar Pandey
,
Anchal Srivastava
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/molecules27227821
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/molecules27227821
The in vitro diagnostics of cancer are not represented well yet, but the need for early-stage detection is undeniable. In recent decades, surface-enhanced Raman spectroscopy (SERS) has emerged as an efficient, adaptable, and unique technique for the detection of cancer molecules in their early stages. Herein, we demonstrate an opto-plasmonic hybrid structure for sensitive detection of the prostate cancer biomarker sarcosine using silica nanospheres coated silver nano-islands as a facile and efficient SERS active substrate. The SERS active platform has been developed via thin (5–15 nm) deposition of silver islands using a simple and cost-effective Radio Frequency (RF) sputtering technique followed by the synthesis and decoration of silica nanospheres (~500 nm) synthesized via Stober’s method. It is anticipated that the coupling of Whispering Gallery Modes and photonic nano-jets in SiO2 nanospheres induce Localized Surface Plasmon Resonance (LSPR) in Ag nano-islands, which is responsible for the SERS enhancement. The as-fabricated SERS active platform shows a linear response in the physiological range (10 nM to 100 μM) and an extremely low limit of detection (LOD) of 1.76 nM with a correlation coefficient of 0.98 and enhancement factor ~2 × 107. The findings suggest that our fabricated SERS platform could be potentially used for the rapid detection of bio-chemical traces with high sensitivity.
Related Topics
Concepts
Materials science
Nanotechnology
Plasmon
Surface-enhanced Raman spectroscopy
Surface plasmon resonance
Cancer detection
Detection limit
Raman spectroscopy
Substrate (aquarium)
Nanomaterials
Optoelectronics
Raman scattering
Nanoparticle
Cancer
Chemistry
Optics
Chromatography
Internal medicine
Geology
Medicine
Physics
Oceanography
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/molecules27227821
- https://www.mdpi.com/1420-3049/27/22/7821/pdf?version=1668335588
- OA Status
- gold
- Cited By
- 12
- References
- 57
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4309003905
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4309003905Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/molecules27227821Digital Object Identifier
- Title
-
Silica Nanospheres Coated Silver Islands as an Effective Opto-Plasmonic SERS Active Platform for Rapid and Sensitive Detection of Prostate Cancer BiomarkersWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-13Full publication date if available
- Authors
-
Anamika Pandey, Subhankar Kumar Sarkar, Sumit Kumar Pandey, Anchal SrivastavaList of authors in order
- Landing page
-
https://doi.org/10.3390/molecules27227821Publisher landing page
- PDF URL
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https://www.mdpi.com/1420-3049/27/22/7821/pdf?version=1668335588Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1420-3049/27/22/7821/pdf?version=1668335588Direct OA link when available
- Concepts
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Materials science, Nanotechnology, Plasmon, Surface-enhanced Raman spectroscopy, Surface plasmon resonance, Cancer detection, Detection limit, Raman spectroscopy, Substrate (aquarium), Nanomaterials, Optoelectronics, Raman scattering, Nanoparticle, Cancer, Chemistry, Optics, Chromatography, Internal medicine, Geology, Medicine, Physics, OceanographyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
12Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 7, 2024: 1, 2023: 4Per-year citation counts (last 5 years)
- References (count)
-
57Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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