SERS for Bacteria, Viruses, and Protein Biosensing

Kurochkin, Ilya N.; Eremenko, A. V.; Evtushenko, Evgeniy G.; Nechaeva, Natalia L.; Durmanov, Nikolay N.; Guliev, Rustam R.; Ryzhikov, Ilya A.; Boginskaya, I. A.; Sarychev, Andrey K.; Иванов, А. В.; Lagarkov, A. N.

doi:10.1007/978-3-030-55490-3_5

Cited by 6 publications

(8 citation statements)

References 111 publications

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“…As mentioned previously, peaks in the SERS spectra are linked with functional groups [ 6 , 7 , 20 , 22 , 26 ]. These groups represent components of bacterial cells [ 8 , 17 ], most often either extracellular polymers [ 17 ] or more likely degradation metabolites [ 50 , 53 ] or parts of the outer membrane in Gram negative bacteria [ 13 ]. We present tentative SERS spectra band assignments in Table 4 .…”

Section: Resultsmentioning

confidence: 99%

“…Based on current knowledge, the methodology used in this study likely showcases the metabolic degradation of the tested bacteria, as they are in a no-nutrient environment (salt solution). Nevertheless, as this is linked with specific enzymes each strain may produce and unique metabolic pathways, it too ultimately relates to biochemical differences and thus strain-specific differentiation [ 50 , 53 ]. Another recent study demonstrates that SERS peaks may also derive from the constituents of bacterial outer membrane (Gram-) [ 13 ].…”

Section: Discussionmentioning

confidence: 99%

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Differentiation of Closely Related Oak-Associated Gram-Negative Bacteria by Label-Free Surface Enhanced Raman Spectroscopy (SERS)

Vaitiekūnaite

Snitka

2021

Microorganisms

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Due to the harmful effects of chemical fertilizers and pesticides, the need for an eco-friendly solution to improve soil fertility has become a necessity, thus microbial biofertilizer research is on the rise. Plant endophytic bacteria inhabiting internal tissues represent a novel niche for research into new biofertilizer strains. However, the number of species and strains that need to be differentiated and identified to facilitate faster screening in future plant-bacteria interaction studies, is enormous. Surface enhanced Raman spectroscopy (SERS) may provide a platform for bacterial discrimination and identification, which, compared with the traditional methods, is relatively rapid, uncomplicated and ensures high specificity. In this study, we attempted to differentiate 18 bacterial isolates from two oaks via morphological, physiological, biochemical tests and SERS spectra analysis. Previous 16S rRNA gene fragment sequencing showed that three isolates belong to Paenibacillus, 3—to Pantoea and 12—to Pseudomonas genera. Additional tests were not able to further sort these bacteria into strain-specific groups. However, the obtained label-free SERS bacterial spectra along with the high-accuracy principal component (PCA) and discriminant function analyses (DFA) demonstrated the possibility to differentiate these bacteria into variant strains. Furthermore, we collected information about the biochemical characteristics of selected isolates. The results of this study suggest a promising application of SERS in combination with PCA/DFA as a rapid, non-expensive and sensitive method for the detection and identification of plant-associated bacteria.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Differentiation of Closely Related Oak-Associated Gram-Negative Bacteria by Label-Free Surface Enhanced Raman Spectroscopy (SERS)

Vaitiekūnaite

Snitka

2021

Microorganisms

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“…[39,47,83] along with large and complex molecules i.e. viruses, bacteria etc [82,[84][85][86]. In the present review, the application of SERS has been described in the field of environment and healthcare as a gas sensing tool for the detection of toxic/harmful environmental gases as well as gas biomarkers in human breath.…”

Section: Sensors and Diagnostics Accepted Manuscriptmentioning

confidence: 98%

“…(iv) For practical applications of SERS technique, the proper integration of SERS active nanomaterials with handheld portable Raman spectrometers is required for higher sensitivity and gas/virus selectivity capabilities [110]. (v) There is an urgent need to explore SERS based research for virus detection such as SARS-CoV-2 for direct and fast detection which is limited by the traditional approaches [84]. (vi) Looking at the current COVID-19 pandemic, the development of a highly sensitive, portable and cost effective technique for direct breath analysis of COVID-19 patients or any viral infection would be a game-changer in this field of sensors and diagnostic [137].…”

Section: Summary Challenges and Future Prospectsmentioning

confidence: 99%

Nanomaterial-based surface-enhanced Raman scattering spectroscopy for sensing and diagnostics of gas molecules in environment and healthcare

et al. 2022

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“…A number of surface-enhanced Raman scattering (SERS) spectra of biological molecules, including amino acids, peptides, proteins (water-soluble, membrane, and glycosylated ones), nucleotides, oligonucleotides, and double-stranded and single-stranded DNAs, as well as SERS spectra of viruses, bacteria, and drug compounds [14][15][16], have been published since the early 1980s. It has been demonstrated that the SERS spectra of glycoproteins can be recorded with a sensitivity down to their amounts in single virions [17][18][19]. In addition, equipment and technologies for the molecular analysis of substances based on tip-enhanced Raman spectroscopy (TERS) have recently been developed [20,21].…”

Section: Introductionmentioning

confidence: 99%

Label-Free Detection of the Receptor-Binding Domain of the SARS-CoV-2 Spike Glycoprotein at Physiologically Relevant Concentrations Using Surface-Enhanced Raman Spectroscopy

et al. 2022

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Surface-enhanced Raman scattering (SERS) spectroscopy is a surface- or cavity-enhanced variant of Raman scattering spectroscopy that allows the detection of analytes with a sensitivity down to single molecules. This method involves the use of SERS-active surfaces or cavities capable of concentrating incident radiation into small mode volumes containing the analyte. Here, we have engineered an ultranarrow metal–dielectric nano-cavity out of a film of the receptor-binding domain (RBD) of SARS-CoV-2 spike (S) glycoprotein and a silver surface, held together by interaction between reduced protein sulfhydryl groups and silver. The concentration of light in this nano-cavity allows the label-free recording of the characteristic Raman spectra of protein samples smaller than 1 pg. This is sufficient for the ultrasensitive detection of viral protein antigens at physiologically relevant levels. Moreover, the protein SERS signal can be increased by several orders of magnitude by coating the RBD film with a nanometer-thick silver shell, thereby raising the cavity Q-factor. This ensures a sub-femtogram sensitivity of the viral antigen detection. A simple theoretical model explaining the observed additional enhancement of the SERS signal from the silver-coated protein is proposed. Our study is the first to obtain the characteristic Raman and SERS spectra of the RBD of S glycoprotein, the key SARS-CoV-2 viral antigen, directly, without the use of Raman-reporter molecules. Thus, our approach allows label-free recording of the characteristic spectra of viral antigens at concentrations orders of magnitude lower than those required for detecting the whole virus in biological media. This makes it possible to develop a high-performance optical detection method and conformational analysis of the pathogen and its variants.

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SERS for Bacteria, Viruses, and Protein Biosensing

Cited by 6 publications

References 111 publications

Differentiation of Closely Related Oak-Associated Gram-Negative Bacteria by Label-Free Surface Enhanced Raman Spectroscopy (SERS)

Differentiation of Closely Related Oak-Associated Gram-Negative Bacteria by Label-Free Surface Enhanced Raman Spectroscopy (SERS)

Nanomaterial-based surface-enhanced Raman scattering spectroscopy for sensing and diagnostics of gas molecules in environment and healthcare

Label-Free Detection of the Receptor-Binding Domain of the SARS-CoV-2 Spike Glycoprotein at Physiologically Relevant Concentrations Using Surface-Enhanced Raman Spectroscopy

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