Hypersensitive detection of IL-6 on SERS substrate calibrated by dual model
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Surface-Enhanced Raman Spectroscopy
A surface enhanced Raman spectroscopy (SERS) with glancing angle deposited Ag nanorods structures was developed for the detection of urea in human serum. To maximize the SERS enhancement, the effects of Ag nanorod length on the SERS signal were analyzed. The SERS signals of different concentrations of urea solutions were measured in order to generate a regression model for use in analyzing the amount of urea in body fluid using the SERS substrate. To examine the feasibility of the fabricated SERS substrate, the amount of urea in human serum was measured using the SERS substrate and compared with that determined via conventional blood analysis.
Nanorod
Surface-Enhanced Raman Spectroscopy
Deposition
Simulated body fluid
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A surface enhanced Raman spectroscopy (SERS) substrate was developed for the detection of cocaine. The SERS substrate was fabricated by gravure printing a metallic layer of silver nanoparticle (Ag NP) ink, with average particle size of 150 nm, on a flexible and stretchable thermoplastic polyurethane (TPU) substrate. The feasibility of the printed substrate to enhance the Raman spectra of cocaine was investigated. An enhancement factor (EF) of three, in the intensity of Raman spectrum of cocaine on the printed SERS substrate, was observed when compared to target molecules absorbed on bare TPU substrate. This EF is based on the large electromagnetic fields, that are localized at hot spots, created by interaction of the Ag NPs with light. The SERS based response of the printed substrate thus demonstrated the capability of the printed SERS substrate to be used in drug detection applications.
Surface-Enhanced Raman Spectroscopy
Thermoplastic polyurethane
Silver nanoparticle
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While surface enhanced Raman spectroscopy (SERS) based biosensing has demonstrated great potential for point-of-care diagnostics in the laboratory, its application in the field is limited by the short life time of commonly used silver based SERS active substrates. In this work, we report our attempt towards SERS based field biosensing, involving the development of a novel sustained and cost-effective substrate composed of silver nanoparticles protected by small nitrogen-doped Graphene Quantum Dots, i.e. Ag NP@N-GQD, and its systematic evaluation for glucose sensing. The new substrate demonstrated significantly stronger Raman enhancement compared to pure silver nanoparticles. More importantly, the new substrate preserved SERS performance in a normal indoor environment for at least 30 days in both the wet and dry states, in contrast to only 10 days for pure silver nanoparticles. The Ag NP@N-GQD thin film in the dry state was then successfully applied as a SERS substrate for glucose detection in mouse blood samples. The new substrate was synthesized under mild experimental conditions, and the cost increase due to N-GQD was negligible. These results suggest that the Ag NP@N-GQD is a cost-effective and sustained SERS substrate, the development of which represents an important step towards SERS based field biosensing.
Surface-Enhanced Raman Spectroscopy
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Surface-Enhanced Raman Spectroscopy
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Theory of Raman scattering evolution and revolution of Raman instrumentation - application of available technologies to spectroscopy and microscopy Raman spectroscopy and its adaptation to the industrial environment Raman microscopy - confocal and scanning near-field Raman imaging the quest for accuracy in Raman spectra chemometrics for Raman spectroscopy Raman spectra of gases Raman spectroscopy applied to crystals - phenomena and principles, concepts and conventions Raman scattering of glass Raman spectroscopic applications to gemmology Raman spectroscopy on II-IV-semiconductor nanostructures medical applications of Raman spectroscopy - in vivo Raman spectroscopy some pharmaceutical applications of Raman spectroscopy low-frequency Raman spectroscopy and biomolecular dynamics - a comparison between different low-frequency experimental techniques collectivity of vibrational modes Raman spectroscopic studies of ion-ion interactions in aqueous and non-aqueous electrolyte solutions environmental applications of Raman spectroscopy to aqueous solutions Raman and surface enhanced resonance Raman scattering - applications in forensic science application of Raman spectroscopy to organic fibres and films applications of IR and Raman spectra of quasi-elemental carbon process Raman spectroscopy the use of Raman spectroscopy to monitor the quality of carbon overcoats in the disk drive industry Raman spectroscopy in the undergraduate teaching laboratory Raman spectroscopy in the characterization of archaeological materials.
Resonance Raman spectroscopy
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Surface-Enhanced Raman Spectroscopy
Micrometer
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Objective To prepare hybrid substrate and apply it to detect thiram with surface-enhanced Raman spectroscopy(SERS) which provides unique molecular vibration information.Methods The Au substrate was prepared by deposition of gold film on the silver substrate that had a rough surface.The Au substrate was treated with amination as a linker with the silver sol before the hybrid substrate was formed.With PATP as a probe molecule,the Raman intensity of PATP on the Au substrate and the hybrid substrate was compared,respectively.Results and Conclusion PATP had stronger Raman intensity on hybrid substrate than on the Au,and the detection limit was 10-9mol / L.This method can be used for quantitative detection on the hybrid substrate by SERS.
Surface-Enhanced Raman Spectroscopy
Thiram
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In Raman detection, the most popular solution for the samples is tri-distilled water. But the effect of aqueous solution is barely studied in Raman spectroscopy. In fact Raman spectroscopy of solid-state and liquid-state are obvious different. In addition, FWHM of Raman spectral peaks also change evidently. In this paper, several samples were selected for the experiment; including sodium nitrate, sodium nitrite, glucose and caffeine. By comparing the Raman spectroscopy of samples at different concentrations, it is found that the concentration of the sample can affect the strength of Raman spectroscopy, but it can hardly impact FWHM of Raman spectral peaks. By comparing the Raman spectroscopy of liquid-state with the Raman spectroscopy of solid-state, it is observed that the FWHM of some Raman spectral peaks varied obviously; that may be because when the sample was dissolved into the water, the crystal lattice structure was broken, and for some samples atom form became ion form in aqueous solution. Those structural variations caused the variation of the FWHM. The Raman spectroscopy of caffeine aqueous solution at very low concentration was also detected and analyzed. Compared with the Raman spectra of solid-state samples, it is found that some Raman spectral peaks disappeared when the sample was dissolved in water. It is possible that the low concentration of the sample result in the weakening of Raman signals and the disappearing of some weak Raman spectral peaks. Then Ag nanoparticles were added into the caffeine aqueous solution, the results suggest that surface enhanced Raman spectroscopy (SERS) not only can enhance the Raman spectral signal, but also can reduce the effect of aqueous solution. It is concluded that the concentration of sample only affects the strength of Raman spectroscopy; the aqueous solution can affect the FWHM of Raman spectral peaks; and SERS can reduce the effect of aqueous solution.
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A novel wrinkle-structure based surface enhanced Raman spectroscopy (SERS) substrate was successfully developed for the detection of drugs such as cocaine. The SERS substrate was fabricated by depositing silver nano-particle (Ag-NP) ink, with 150 nm particle size, using gravure printing process on a flexible and stretchable thermoplastic polyurethane (TPU) substrate. The wrinkle patterned structures, or rough metallic layers, were created by applying varying strains (25%, 50%, 75% and 100%) to the TPU substrate before printing Ag-NP. The wrinkle structures increase the number and depth of hotspots on the SERS substrate thus generating larger electromagnetic fields resulting in an enhanced Raman signal intensity. The capability of the printed wrinkled SERS substrate to enhance the Raman spectra of cocaine was investigated. An enhancement factor (EF) of 4 and 6 in the intensity of the Raman signal of cocaine on the wrinkle-structured SERS substrate was observed, when compared to the Raman signal of cocaine on a non-wrinkled SERS substrate and bare TPU substrate, respectively, for analytes with similar concentrations. The results of the wrinkle-structured SERS substrate demonstrated the feasibility of the gravure printed SERS substrate to be used in drug detection applications.
Wrinkle
Surface-Enhanced Raman Spectroscopy
Thermoplastic polyurethane
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The application of Raman spectroscopy as a monitoring technique for bioprocesses is severely limited by a large background signal originating from fluorescing compounds in the culture media. Here, we compare time‐gated Raman (TG‐Raman)‐, continuous wave NIR‐process Raman (NIR‐Raman), and continuous wave micro‐Raman (micro‐Raman) approaches in combination with surface enhanced Raman spectroscopy (SERS) for their potential to overcome this limit. For that purpose, we monitored metabolite concentrations of Escherichia coli bioreactor cultivations in cell‐free supernatant samples. We investigated concentration transients of glucose, acetate, AMP, and cAMP at alternating substrate availability, from deficiency to excess. Raman and SERS signals were compared to off‐line metabolite analysis of carbohydrates, carboxylic acids, and nucleotides. Results demonstrate that SERS, in almost all cases, led to a higher number of identifiable signals and better resolved spectra. Spectra derived from the TG‐Raman were comparable to those of micro‐Raman resulting in well‐discernable Raman peaks, which allowed for the identification of a higher number of compounds. In contrast, NIR‐Raman provided a superior performance for the quantitative evaluation of analytes, both with and without SERS nanoparticles when using multivariate data analysis. © 2018 American Institute of Chemical Engineers Biotechnol. Prog ., 34:1533–1542, 2018
Surface-Enhanced Raman Spectroscopy
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