A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases
Surface-enhanced Raman spectroscopy (SERS) applications in clinical diagnosis and spectral pathology are increasing due to the potential of the technique to bio-barcode incipient and differential diseases via real-time monitoring of biomarkers in fluids and in real-time via biomolecular fingerprinti...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-04-01
|
Series: | Biosensors |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-6374/13/5/499 |
_version_ | 1797600820121829376 |
---|---|
author | Alia Colniță Vlad-Alexandru Toma Ioana Andreea Brezeștean Muhammad Ali Tahir Nicoleta Elena Dina |
author_facet | Alia Colniță Vlad-Alexandru Toma Ioana Andreea Brezeștean Muhammad Ali Tahir Nicoleta Elena Dina |
author_sort | Alia Colniță |
collection | DOAJ |
description | Surface-enhanced Raman spectroscopy (SERS) applications in clinical diagnosis and spectral pathology are increasing due to the potential of the technique to bio-barcode incipient and differential diseases via real-time monitoring of biomarkers in fluids and in real-time via biomolecular fingerprinting. Additionally, the rapid advancements in micro/nanotechnology have a visible influence in all aspects of science and life. The miniaturization and enhanced properties of materials at the micro/nanoscale transcended the confines of the laboratory and are revolutionizing domains such as electronics, optics, medicine, and environmental science. The societal and technological impact of SERS biosensing by using semiconductor-based nanostructured smart substrates will be huge once minor technical pitfalls are solved. Herein, challenges in clinical routine testing are addressed in order to understand the context of how SERS can perform in real, in vivo sampling and bioassays for early neurodegenerative disease (ND) diagnosis. The main interest in translating SERS into clinical practice is reinforced by the practical advantages: portability of the designed setups, versatility in using nanomaterials of various matter and costs, readiness, and reliability. As we will present in this review, in the frame of technology readiness levels (TRL), the current maturity reached by semiconductor-based SERS biosensors, in particular that of zinc oxide (ZnO)-based hybrid SERS substrates, is situated at the development level TRL 6 (out of 9 levels). Three-dimensional, multilayered SERS substrates that provide additional plasmonic hot spots in the z-axis are of key importance in designing highly performant SERS biosensors for the detection of ND biomarkers. |
first_indexed | 2024-03-11T03:53:23Z |
format | Article |
id | doaj.art-07404e3058694e0194381b4c82a138fb |
institution | Directory Open Access Journal |
issn | 2079-6374 |
language | English |
last_indexed | 2024-03-11T03:53:23Z |
publishDate | 2023-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Biosensors |
spelling | doaj.art-07404e3058694e0194381b4c82a138fb2023-11-18T00:40:32ZengMDPI AGBiosensors2079-63742023-04-0113549910.3390/bios13050499A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative DiseasesAlia Colniță0Vlad-Alexandru Toma1Ioana Andreea Brezeștean2Muhammad Ali Tahir3Nicoleta Elena Dina4Department of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, RomaniaDepartment of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, RomaniaDepartment of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, RomaniaShanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science & Engineering, Fudan University, Shanghai 200433, ChinaDepartment of Molecular and Biomolecular Physics, National Institute for Research and Development of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, RomaniaSurface-enhanced Raman spectroscopy (SERS) applications in clinical diagnosis and spectral pathology are increasing due to the potential of the technique to bio-barcode incipient and differential diseases via real-time monitoring of biomarkers in fluids and in real-time via biomolecular fingerprinting. Additionally, the rapid advancements in micro/nanotechnology have a visible influence in all aspects of science and life. The miniaturization and enhanced properties of materials at the micro/nanoscale transcended the confines of the laboratory and are revolutionizing domains such as electronics, optics, medicine, and environmental science. The societal and technological impact of SERS biosensing by using semiconductor-based nanostructured smart substrates will be huge once minor technical pitfalls are solved. Herein, challenges in clinical routine testing are addressed in order to understand the context of how SERS can perform in real, in vivo sampling and bioassays for early neurodegenerative disease (ND) diagnosis. The main interest in translating SERS into clinical practice is reinforced by the practical advantages: portability of the designed setups, versatility in using nanomaterials of various matter and costs, readiness, and reliability. As we will present in this review, in the frame of technology readiness levels (TRL), the current maturity reached by semiconductor-based SERS biosensors, in particular that of zinc oxide (ZnO)-based hybrid SERS substrates, is situated at the development level TRL 6 (out of 9 levels). Three-dimensional, multilayered SERS substrates that provide additional plasmonic hot spots in the z-axis are of key importance in designing highly performant SERS biosensors for the detection of ND biomarkers.https://www.mdpi.com/2079-6374/13/5/499neurodegenerative diseasesSERSzinc-oxide-based SERS substratesbiomarkersdopamineamyloid-β |
spellingShingle | Alia Colniță Vlad-Alexandru Toma Ioana Andreea Brezeștean Muhammad Ali Tahir Nicoleta Elena Dina A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases Biosensors neurodegenerative diseases SERS zinc-oxide-based SERS substrates biomarkers dopamine amyloid-β |
title | A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases |
title_full | A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases |
title_fullStr | A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases |
title_full_unstemmed | A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases |
title_short | A Review on Integrated ZnO-Based SERS Biosensors and Their Potential in Detecting Biomarkers of Neurodegenerative Diseases |
title_sort | review on integrated zno based sers biosensors and their potential in detecting biomarkers of neurodegenerative diseases |
topic | neurodegenerative diseases SERS zinc-oxide-based SERS substrates biomarkers dopamine amyloid-β |
url | https://www.mdpi.com/2079-6374/13/5/499 |
work_keys_str_mv | AT aliacolnita areviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT vladalexandrutoma areviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT ioanaandreeabrezestean areviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT muhammadalitahir areviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT nicoletaelenadina areviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT aliacolnita reviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT vladalexandrutoma reviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT ioanaandreeabrezestean reviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT muhammadalitahir reviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases AT nicoletaelenadina reviewonintegratedznobasedsersbiosensorsandtheirpotentialindetectingbiomarkersofneurodegenerativediseases |