Raman Detection of Proteomic Analytes

Zhang, Dongmao; Xie, Yong; Mrozek, Melissa F.; Ortiz, Corasi; Davisson, and V. Jo; Ben‐Amotz, Dor

doi:10.1021/ac0345087

Cited by 190 publications

(257 citation statements)

References 26 publications

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“…A 2 µL volume of protein solution, with an approximate concentration of 1 mg/mL, was deposited on a standard DCDR substrate SpectRIM™ (Tienta Sciences) consisting of a polished stainless steel plate coated with a thin layer of Teflon [6]. After air-drying at room temperature, approximately 20 minutes, Raman spectra were collected from -coffee rings‖ of former droplets [7] using a Raman microspectrometer HR800 (Horiba Jobin Yvon) with a 514.5 nm Ar-ion excitation laser (Melles Griot).…”

Section: Drop Coating Deposition Raman Spectroscopymentioning

confidence: 99%

Structural analysis of natural killer cell receptor protein 1 (NKR-P1) extracellular domains suggests a conserved long loop region involved in ligand specificity

et al. 2010

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Section: Drop Coating Deposition Raman Spectroscopymentioning

confidence: 99%

Structural analysis of natural killer cell receptor protein 1 (NKR-P1) extracellular domains suggests a conserved long loop region involved in ligand specificity

et al. 2010

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“…It was found that the coffee-ring effect is applicable for enriching both chemical and biological substances. [6][7][8][9][10][11] One example is its application in normal Raman spectrometry that is termed as drop coating deposition Raman (DCDR). 10 In recent years, the coffee-ring effect has become a powerful tool for self-structuring of nanomaterials.…”

mentioning

confidence: 99%

Coffee-ring effect-based simultaneous SERS substrate fabrication and analyte enrichment for trace analysis

et al. 2014

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Based on the "coffee-ring effect", we developed a highly efficient SERS platform which integrates the fabrication of SERS-active substrates and the preconcentration of analytes into one step. The high sensitivity, robustness, reproducibility and simplicity make this platform ideal for on-site analysis of small volume samples at low concentrations in complex matrices.Since its invention in the 1970s, 1,2 surface-enhanced Raman spectroscopy (SERS) has been receiving growing interest in a variety of areas due to its inherent merits such as a high signalto-noise ratio, non-photobleaching features and the use of single photoexcitation. 3 These features make SERS one of the most powerful techniques for non-destructive, on-site and in vivo analysis of chemical and biological substances. 4 However, the utilization of SERS in determination of trace analytes is restricted by the sophisticated and expensive nanofabrication of highly SERS-active substrates, as well as its limited sensitivity and selectivity for trace substances in complex matrices due to the swamping of the analyte signal in background molecule signals. For example, while the concentrations of PAHs in the environment are commonly in the range of 10 À12 to 10 À9 g L À1 , the lowest detection limits available with a well-designed SERS substrate are in the range of 3 Â 10 À6 to 1.78 Â 10 À4 g L À1 . 5 To meet the requirements for analysis of trace analytes in complex matrices, metallic substrates were tailored to increase the signal strength, and analytes were preconcentrated before SERS analysis. As these two approaches are very complicated and timeconsuming, it is highly desired to develop a fast, simple and robust approach to simultaneously perform the self-assembling of SERS substrates and preconcentration of trace analytes.One technique that holds great promise in this regard is the "coffee-ring effect", which refers to the accumulation of a ringlike dense array on the border by evaporating a droplet of aqueous solution containing nonvolatile solutes such as organic small molecules, biomacromolecules, polymers, and nanoparticle microspheres on solid surfaces. In this process, the three-phase contact line among the atmosphere, droplet and solid substrate is pinned, and a remarkable capillary ow happens because of the evaporation of solvents, driving solutes to move outward from the inner side to the rim of the droplet. Consequently, solutes are highly concentrated along the original droplet edge. It was found that the coffee-ring effect is applicable for enriching both chemical and biological substances. 6-11 One example is its application in normal Raman spectrometry that is termed as drop coating deposition Raman (DCDR). 10 In recent years, the coffee-ring effect has become a powerful tool for self-structuring of nanomaterials. [12][13][14][15] Herein, we report the development of a novel SERS platform by integrating the generation of SERS substrates and the enrichment of analytes into one step. We demonstrate the benets of the coffee-ring effect in co...

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“…The Drop Coating Deposition Raman (DCDR) method, based in the aliquots deposition on hydrophobic substrates, allows obtaining solid residues in the form of coffee rings. This technique has a detection limit about of 10 −6 M [8][9][10]. For the detection of substances diluted to more low concentrations, methods such as the SERS (Surface Enhanced Raman Scattering) have been developed [11,12], which involve complex metallic substrates or synthesis of colloidal suspensions [13,14].…”

Section: M) Is Necessary This Technique Uses a Combination Ofmentioning

confidence: 99%

Quantification of Solid Residues by Raman Spectroscopy

Araiza-Reyna¹,

Sato-Berrú²,

Vázquez-Olmos³

2013

OPJ

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We suggest a mathematical route which has the capability to obtain quantitative information of solid residues on a substrate of aluminum, in which the evaporation of the deposited micro-drops has the form of coffee rings. In this job, the glycine aminoacid was used as probe molecule. We suppose that the number of moles present on the study sample is proportional to the Raman signal and to the experimental parameters of the used Raman system. Then, the mass and the number of molecules can be determined with these data. We showed that the mathematical expression is simple and elegant for its implementation. On the other hand, we have applied and demonstrated that the technique of principal component analysis (PCA) can be used to obtain quantitative information of the sample. Our results show quantitative analysis of glycine residues between 10 −11 to 10 −15 g.

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Raman Detection of Proteomic Analytes

Cited by 190 publications

References 26 publications

Structural analysis of natural killer cell receptor protein 1 (NKR-P1) extracellular domains suggests a conserved long loop region involved in ligand specificity

Structural analysis of natural killer cell receptor protein 1 (NKR-P1) extracellular domains suggests a conserved long loop region involved in ligand specificity

Coffee-ring effect-based simultaneous SERS substrate fabrication and analyte enrichment for trace analysis

Quantification of Solid Residues by Raman Spectroscopy

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