Single Particle Automated Raman Trapping Analysis

Penders, Jelle; Pence, Isaac J.; Horgan, Conor C.; Bergholt, Mads Sylvest; Wood, Christopher S.; Najer, Adrian; Kauscher, Ulrike; Nagelkerke, Anika; Stevens, Molly M.

doi:10.1038/s41467-018-06397-6

Cited by 46 publications

(62 citation statements)

References 36 publications

(39 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…As a result of this positive cycle of the optical force, some AuNUs may be pulled to even touch the nanohole wall temporarily, which can induce strong interactions to affect the SERS spectra as well as the trapping time 25,26 . With the feedback from the Raman spectra, the platform can be extended to automated trapping and high-throughput analysis of single AuNUs of interest with a closed-loop program 27 .…”

Section: Resultsmentioning

confidence: 99%

SERS discrimination of single DNA bases in single oligonucleotides by electro-plasmonic trapping

Huang¹,

Mousavi²,

Zhao³

et al. 2019

Nat Commun

175

154

View full text Add to dashboard Cite

Surface-enhanced Raman spectroscopy (SERS) sensing of DNA bases by plasmonic nanopores could pave a way to novel methods for DNA analyses and new generation single-molecule sequencing platforms. The SERS discrimination of single DNA bases depends critically on the time that a DNA strand resides within the plasmonic hot spot. In fact, DNA molecules flow through the nanopores so rapidly that the SERS signals collected are not sufficient for single-molecule analysis. Here, we report an approach to control the residence time of molecules in the hot spot by an electro-plasmonic trapping effect. By directly adsorbing molecules onto a gold nanoparticle and then trapping the single nanoparticle in a plasmonic nanohole up to several minutes, we demonstrate single-molecule SERS detection of all four DNA bases as well as discrimination of single nucleobases in a single oligonucleotide. Our method can be extended easily to label-free sensing of single-molecule amino acids and proteins.

show abstract

Section: Resultsmentioning

confidence: 99%

SERS discrimination of single DNA bases in single oligonucleotides by electro-plasmonic trapping

Huang¹,

Mousavi²,

Zhao³

et al. 2019

Nat Commun

175

154

View full text Add to dashboard Cite

show abstract

“…Incident photons interact with different vibrational modes of molecules in the sample, resulting in scattered photons with slightly different energies. The technique is increasingly popular for cell and tissue analysis, and is used to identify and classify different tissue and engineered construct regions, single nanoparticle kinetics, and more …”

Section: Biochemical Sensingmentioning

confidence: 99%

High‐Aspect‐Ratio Nanostructured Surfaces as Biological Metamaterials

et al. 2020

Self Cite

View full text Add to dashboard Cite

Materials patterned with high‐aspect‐ratio nanostructures have features on similar length scales to cellular components. These surfaces are an extreme topography on the cellular level and have become useful tools for perturbing and sensing the cellular environment. Motivation comes from the ability of high‐aspect‐ratio nanostructures to deliver cargoes into cells and tissues, access the intracellular environment, and control cell behavior. These structures directly perturb cells' ability to sense and respond to external forces, influencing cell fate, and enabling new mechanistic studies. Through careful design of their nanoscale structure, these systems act as biological metamaterials, eliciting unusual biological responses. While predominantly used to interface eukaryotic cells, there is growing interest in nonanimal and prokaryotic cell interfacing. Both experimental and theoretical studies have attempted to develop a mechanistic understanding for the observed behaviors, predominantly focusing on the cell–nanostructure interface. This review considers how high‐aspect‐ratio nanostructured surfaces are used to both stimulate and sense biological systems.

show abstract

“…Hence, it has become clear that enrichment of tdEVs is needed prior to Raman analysis. Nevertheless, spontaneous Raman spectroscopy provides information on the chemical composition of single or multiple EVs in solution or on a surface in a noninvasive and label-free manner (18,25,46,(48)(49)(50)(51)(52).…”

Section: Relevance For Cancer Diagnosticsmentioning

confidence: 99%

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

et al. 2020

View full text Add to dashboard Cite

Extracellular vesicles (EVs) have great potential as biomarkers since their composition and concentration in biofluids are disease state dependent and their cargo can contain disease-related information. Large tumor-derived EVs (tdEVs, >1 µm) in blood from cancer patients are associated with poor outcome, and changes in their number can be used to monitor therapy effectiveness. Whereas, small tumor-derived EVs (<1 µm) are likely to outnumber their larger counterparts, thereby offering better statistical significance, identification and quantification of small tdEVs are more challenging. In the blood of cancer patients, a subpopulation of EVs originate from tumor cells, but these EVs are outnumbered by non-EV particles and EVs from other origin. In the Dutch NWO Perspectief Cancer-ID program, we developed and evaluated detection and characterization techniques to distinguish EVs from non-EV particles and other EVs. Despite low signal amplitudes, we identified characteristics of these small tdEVs that may enable the enumeration of small tdEVs and extract relevant information. The insights obtained from Cancer-ID can help to explore the full potential of tdEVs in the clinic.

show abstract

Single Particle Automated Raman Trapping Analysis

Cited by 46 publications

References 36 publications

SERS discrimination of single DNA bases in single oligonucleotides by electro-plasmonic trapping

SERS discrimination of single DNA bases in single oligonucleotides by electro-plasmonic trapping

High‐Aspect‐Ratio Nanostructured Surfaces as Biological Metamaterials

Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood

Contact Info

Product

Resources

About