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...

Full description

Bibliographic Details
Main Authors: Alia Colniță, Vlad-Alexandru Toma, Ioana Andreea Brezeștean, Muhammad Ali Tahir, Nicoleta Elena Dina
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