Fiber-Based SERS-Fluidic Polymeric Platforms for Improved Optical Analysis of Liquids.

3D printing lab-on-chip (LOC) liquid samples microfluidics nanoparticles photocurable perfluoropolyethers surface-enhanced Raman spectroscopy (SERS)

Journal

Bioengineering (Basel, Switzerland)
ISSN: 2306-5354
Titre abrégé: Bioengineering (Basel)
Pays: Switzerland
ID NLM: 101676056

Informations de publication

Date de publication:
01 Jun 2023
Historique:
received: 28 04 2023
revised: 23 05 2023
accepted: 25 05 2023
medline: 28 6 2023
pubmed: 28 6 2023
entrez: 28 6 2023
Statut: epublish

Résumé

Downsizing surface-enhanced Raman spectroscopy (SERS) within microfluidic devices has opened interesting perspectives for the development of low-cost and portable (bio)sensors for the optical analysis of liquid samples. Despite the research efforts, SERS-fluidic devices still rely either on the use of expensive bulky set-ups or on polymeric devices giving spurious background signals fabricated via expensive manufacturing processes. Here, polymeric platforms integrating fluidics and optics were fabricated with versatile designs allowing easy coupling with fiber-based Raman systems. For the first time, anti-fouling photocurable perfluoropolyether (PFPE) was explored for high-throughput SERS-integrating chip fabrication via replica molding of negative stamps obtained through standard and advanced fabrication processes. The PFPE devices comprised networks of channels for fluid handling and for optical fiber housing with multiple orientations. Embedded microfeatures were used to control the relative positioning of the fibers, thus guaranteeing the highest signal delivering and collection. The feasibility of PFPE devices as fiber-based SERS fluidic platforms was demonstrated through the straightforward acquisition of Raman-SERS spectra of a mixture of gold nanoparticles as SERS substrates with rhodamine 6G (Rh6G) at decreasing concentrations. In the presence of high-performing gold nanostars, the Rh6G signal was detectable at dilutions down to the nanomolar level even without tight focusing and working at low laser power-a key aspect for analyte detection in real-world biomedical and environmental applications.

Identifiants

pubmed: 37370607
pii: bioengineering10060676
doi: 10.3390/bioengineering10060676
pmc: PMC10295140
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Caterina Credi (C)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.

Caterina Dallari (C)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
Department of Physics, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy.

Sara Nocentini (S)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
National Institute of Metrology (INRiM), 10135 Turin, Italy.

Gabriele Gatta (G)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.

Elena Bianchi (E)

Department of Chemistry, Materials and Chemical Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.

Diederik S Wiersma (DS)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
Department of Physics, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy.
National Institute of Metrology (INRiM), 10135 Turin, Italy.

Francesco S Pavone (FS)

European Laboratory for Non-Linear Spectroscopy (LENS), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
National Institute of Optics, National Research Council (INO-CNR), Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy.
Department of Physics, University of Florence, Via G. Sansone 1, 50019 Sesto Fiorentino, Italy.

Classifications MeSH