Vasyl Shvalya (Author), Martina Modic (Author), Cene Skubic (Author), Nejc Nadižar (Author), Janez Zavašnik (Author), Damjan Vengust (Author), Aleksander Zidanšek (Author), Damjana Rozman (Author), Uroš Cvelbar (Author)

Abstract

It is shown that surface-enhanced Raman spectroscopy (SERS) can identify bacteria based on their genomic DNA composition, acting as a “sample-distinguishing marker”. Successful spectral differentiation of bacterial species was accomplished with nanogold aggregates synthesized through single-step plasma reduction of the ionic gold-containing vapored precursor. A high enhancement factor (EF = 10$^7$) in truncated coupled plasmonic particulates allowed SERS-probing at nanogram sample quantities. Simulations confirmed the occurrence of the strongest electric field confinement within nanometric gaps between gold dimers/chains from where the molecular fingerprints of bacterial DNA fragments gained photon scattering enhancement. The most prominent Raman modes linked to fundamental base-pair molecular vibrations were deconvoluted and used to proceed with nitrogenous base content estimation. The genomic composition (percentage of guanine-cytosine and adenine-thymine) was successfully validated by third-generation sequencing using nanopore technology, further proving that the SERS technique can be employed to swiftly specify bioentities by the discriminative principal-component statistical approach.

Keywords

DNA genomic ration;plasma electrochemical reduction;coupled plasmonic nanogold;DNA Raman fingerprints;

Data

Language: English
Year of publishing:
Typology: 1.01 - Original Scientific Article
Organization: UL MF - Faculty of Medicine
UDC: 533
COBISS: 127669763 Link will open in a new window
ISSN: 1530-6992
Views: 99
Downloads: 20
Average score: 0 (0 votes)
Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

Type (COBISS): Article
Pages: str. 9757-9765
Volume: ǂVol. ǂ22
Issue: ǂiss. ǂ23
Chronology: Dec. 2022
DOI: 10.1021/acs.nanolett.2c02835
ID: 18003274