A review of surface-enhanced Raman spectroscopy in pathological processes.

Hypoxia Infections Inflammation Necrosis and apoptosis Oncology Pathological process detection Surface-enhanced Raman spectroscopy (SERS)

Journal

Analytica chimica acta
ISSN: 1873-4324
Titre abrégé: Anal Chim Acta
Pays: Netherlands
ID NLM: 0370534

Informations de publication

Date de publication:
01 Dec 2021
Historique:
received: 28 03 2021
revised: 18 08 2021
accepted: 20 08 2021
entrez: 10 11 2021
pubmed: 11 11 2021
medline: 12 11 2021
Statut: ppublish

Résumé

With the continuous growth of the human population and new challenges in the quality of life, it is more important than ever to diagnose diseases and pathologies with high accuracy, sensitivity and in different scenarios from medical implants to the operation room. Although conventional methods of diagnosis revolutionized healthcare, alternative analytical methods are making their way out of academic labs into clinics. In this regard, surface-enhanced Raman spectroscopy (SERS) developed immensely with its capability to achieve single-molecule sensitivity and high-specificity in the last two decades, and now it is well on its way to join the arsenal of physicians. This review discusses how SERS is becoming an essential tool for the clinical investigation of pathologies including inflammation, infections, necrosis/apoptosis, hypoxia, and tumors. We critically discuss the strategies reported so far in nanoparticle assembly, functionalization, non-metallic substrates, colloidal solutions and how these techniques improve SERS characteristics during pathology diagnoses like sensitivity, selectivity, and detection limit. Moreover, it is crucial to introduce the most recent developments and future perspectives of SERS as a biomedical analytical method. We finally discuss the challenges that remain as bottlenecks for a routine SERS implementation in the medical room from in vitro to in vivo applications. The review showcases the adaptability and versatility of SERS to resolve pathological processes by covering various experimental and analytical methods and the specific spectral features and analysis results achieved by these methods.

Identifiants

pubmed: 34753586
pii: S0003-2670(21)00804-7
doi: 10.1016/j.aca.2021.338978
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

338978

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Alexey Kozik (A)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia; Siberian Medical State University, Moskovskiy Trakt, 2, Tomsk, 634050, Russia.

Marina Pavlova (M)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia; Siberian Medical State University, Moskovskiy Trakt, 2, Tomsk, 634050, Russia.

Ilia Petrov (I)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia.

Vyacheslav Bychkov (V)

Tomsk National Research Medical Center of the Russian Academy of Sciences, Cancer Research Institute, 5 Kooperativny Street, Tomsk, 634009, Russia.

Larissa Kim (L)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia.

Elena Dorozhko (E)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia.

Chong Cheng (C)

College of Polymer Science and Engineering, State Key Laboratory of Polymer Materials Engineering, Sichuan University, Chengdu, 610065, China.

Raul D Rodriguez (RD)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia. Electronic address: raul@tpu.ru.

Evgeniya Sheremet (E)

Tomsk Polytechnic University, Lenin Ave, 30, Tomsk, 634050, Russia.

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Classifications MeSH