SERS analysis on exosomes using super-hydrophobic surfaces

Tirinato, Luca; Gentile, Francesco; Mascolo, Daniele Di; Coluccio, Maria Laura; Das, Gobind; Liberale, Carlo; Pullano, Salvatore A.; Perozziello, Gerardo; Francardi, Marco; Accardo, Angelo; Angelis, Francesco De; Candeloro, Patrizio; Fabrizio, E. Di

doi:10.1016/j.mee.2012.03.022

Cited by 70 publications

(75 citation statements)

References 14 publications

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“…Interestingly, most of these pronounced peaks have previously been identified by others when recording Raman spectra of biological samples like erythrocytes [45] or even EVs (by classic Raman or SERS on bulk isolates). [18,19,32,33,36] Next, we could show that the generated spectra, in combination with a PLS-DA classification model, allow us to separate between vesicles derived from B16F10 melanoma cells and RBCderived vesicles. The fact that Raman spectroscopy is able to discriminate between vesicles from different cellular origin is in accordance with the very few reports available to date in which it was shown that classic Raman spectroscopy [18] and SERS [32,33] on bulk or clusters of vesicles has discriminative power, even for more similar parent cells.…”

Section: Discussionmentioning

confidence: 93%

“…[32,33] These few reports show the feasibility of obtaining SERS spectra from an EV sample and the capability to differentiate between EVs from different origin. [32,33] However, it is important to note that these previous analyses were still performed on bulk vesicles from a single cell type. Yet, clinical samples contain EVs from different origin in a mixture, hampering the further implementation of bulk Raman measurements for diagnostic applications.…”

Section: Introductionmentioning

confidence: 99%

“…lipid) 1326 sh sh [36] (CH3CH2) (e. [18,19,36] (CH2/CH3) (e.g. protein, lipid) 1465 w [36] lipid 1477 w w [32] DMAP + δ(C-H) (e.g. lipid, protein) 1528 w sh [18] ν(-C=C-) conjugated 1563 sh w tryptophan 1576 w w [19] guanine (nucleic acid) 1608 sh sh [18] cytosine (nucleic acid) / phenylalanine (protein)…”

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confidence: 99%

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Identification of Individual Exosome-Like Vesicles by Surface Enhanced Raman Spectroscopy

Stremersch

Marro

Pinchasik

et al. 2016

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Exosome-like vesicles (ELVs) are a novel class of biomarkers that are receiving a lot of attention for the detection of cancer in an early stage. In this study the feasibility of using a Surface Enhanced Raman Spectroscopy (SERS) based method to distinguish between ELVs derived from different cellular origins is evaluated. A gold nanoparticle based shell is deposited on the surface of ELVs derived from cancerous and healthy cells which enhances the Raman signal while maintaining a colloidal suspension of individual vesicles. This nano-coating allows the recording of SERS spectra from single vesicles. By using Partial Least Square Discriminative Analysis (PLS-DA) on the obtained spectra, vesicles from different origin can be distinguished, even when present in the same mixture. This proof-of-concept study paves the way for non-invasive (cancer) diagnostic tools based on exosomal SERS fingerprinting in combination with multivariate statistical analysis.

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Section: Discussionmentioning

confidence: 93%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Identification of Individual Exosome-Like Vesicles by Surface Enhanced Raman Spectroscopy

Stremersch

Marro

Pinchasik

et al. 2016

Small

158

167

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“…Marin et al 30 demonstrated the ability to deposit a spherical cluster of particles on a superhydrophobic surface due to the receding contact line. Ebrahimi et al, 7 Tirinato et al, 8 and De Angelis et al 9 used superhydrophobic surfaces to facilitate dense packing of molecular deposits for improved nanosensor efficiency/sensitivity. We investigate the influence of superhydrophobic surface morphology on evaporative deposition by employing microstructured surfaces with differing pillar pitch as a mean to control the size and localization of particle deposits.…”

Section: Effect Of Superhydrophobic Surface Morphology On Evaporativementioning

confidence: 99%

Effect of superhydrophobic surface morphology on evaporative deposition patterns

Dicuangco

Dash

Weibel

et al. 2014

Applied Physics Letters

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Prediction and active control of the spatial distribution of particulate deposits obtained from sessile droplet evaporation are vital in printing, nanostructure assembly, biotechnology, and other applications that require localized deposits. This Letter presents surface wettability-based localization of evaporation-driven particulate deposition and the effect of superhydrophobic surface morphology on the distribution of deposits. Sessile water droplets containing suspended latex particles are evaporated on non-wetting textured surfaces with varying microstructure geometry at ambient conditions. The droplets are visualized throughout the evaporation process to track the temporal evolution of contact radius and apparent contact angle. The resulting particle deposits on the substrates are quantitatively characterized. The experimental results show that superhydrophobic surfaces suppress contact-line deposition during droplet evaporation, thereby providing an effective means of localizing the deposition of suspended particles. A correlation between deposit size and surface morphology, explained in terms of the interface pressure balance at the transition between wetting states, reveals an optimum surface morphology for minimizing the deposit coverage area.

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“…Kerr et al reported SERS analysis on ovarian tumor derived EVs by mixing the EVs with gold nanoparticles 52 , while Tirinato et al showed SERS spectra purportedly arising from EVs on super-hydrophobic nanopillars 53 . However, because the authors did not correct for the SERS signal of the isolation kit used in the study, a substantial portion of that signal is likely to be from that contaminant 48,54 , highlighting some of the difficulty in performing label-free measurements on chemically complex samples such as EVs.…”

Section: B: Surface Enhanced Raman Scattering (Sers)mentioning

confidence: 99%

Single particle analysis: Methods for detection of platelet extracellular vesicles in suspension (excluding flow cytometry)

et al. 2016

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Extracellular vesicles (EVs) are small membrane-bound particles released by all cell types, including abundant release by platelets. EVs are a topic of increasing interest in the academic and clinical community due to their increasingly recognized and diverse role in normal biology as well as in disease. However, typical analysis methods to characterize EVs released by cell culture or isolated from whole blood or other body fluids are restricted to bulk analysis of all EVs in a sample. In this review we discuss the motivation for analysis of individual EVs, as well as discuss three emerging methods for physical and chemical characterization of individual EVs: Nanoparticle Tracking Analysis, Tunable Resistive Pulse Sensing, and Raman Spectroscopy. We give brief descriptions of the working principles of each technique, along with a review noting the benefits and limitations of each method as applied to detection of single EVs.

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SERS analysis on exosomes using super-hydrophobic surfaces

Cited by 70 publications

References 14 publications

Identification of Individual Exosome-Like Vesicles by Surface Enhanced Raman Spectroscopy

Identification of Individual Exosome-Like Vesicles by Surface Enhanced Raman Spectroscopy

Effect of superhydrophobic surface morphology on evaporative deposition patterns

Single particle analysis: Methods for detection of platelet extracellular vesicles in suspension (excluding flow cytometry)

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