Is raman a surface phenomena?
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Raman spectroscopy is a surface phenomenon that can be used for surface characterization and analysis of molecules on a surface . Surface Enhanced Raman Spectroscopy (SERS) is a technique that utilizes the enhancement provided by plasmonic effects to achieve high sensitivity and single molecule detection . SERS relies on the localised surface plasmon resonance phenomenon, where incident light couples with plasmons at the metal-dielectric interface, generating an intense electric field that enhances Raman scattering . The technique has gained significant interest in the scientific community and has found applications in various fields, including sensing, art preservation, forensic science, and medical diagnosis . The development of SERS has opened up new research opportunities in the physics and chemistry of interfaces, allowing for the characterization of adsorbates and determination of surface structures . Overall, Raman spectroscopy, particularly SERS, is a valuable tool for surface analysis and has been extensively studied and utilized in various applications.
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01 Jan 2018 20 Citations | The answer to the query is not explicitly mentioned in the provided paper. The word "Raman" is mentioned in the paper in the context of "Surface-Enhanced Raman Spectroscopy (SERS)", which suggests that Raman spectroscopy can be used as a surface-enhanced technique. However, the paper does not directly state whether Raman spectroscopy is a surface phenomenon or not. |
20 Citations | The answer is in the paper. According to the paper, Raman scattering is a surface phenomena that can be enhanced by the localised surface plasmon resonance phenomenon. |
| Yes, Raman spectroscopy is described as a weak scattering surface phenomenon in the paper. | |
| The answer is in the paper. According to the abstract, Surface Enhanced Raman Spectroscopy (SERS) is a technique in which nanostructured surfaces amplify the weak Raman signal of an adsorbed species, indicating that Raman is a surface phenomenon. | |
| Yes, Raman spectroscopy is described as a surface phenomena in the paper. |
Related Questions
What is raman spectroscopy?5 answersRaman spectroscopy is a powerful analytical technique that utilizes light-matter interactions to provide molecular fingerprints of substances. It is widely used in various fields due to its non-invasive nature and high molecular specificity. This technique can reveal specific molecular structures, making it valuable for studying biological tissues, diagnosing diseases, and characterizing materials like catalysts. Raman spectroscopy has advanced with techniques like surface-enhanced Raman spectroscopy and resonance Raman spectroscopy, enhancing its applications in biomedical sciences and catalysis research. By offering insights into chemical compositions in a label-free manner, Raman spectroscopy plays a crucial role in material characterization, disease diagnosis, and biomedical research.
What is Raman?5 answersRaman is a spectroscopic technique based on inelastic scattering of monochromatic light, usually from a laser, to probe the vibrational modes of molecules and crystals in solid, liquid, and gaseous samples. It is commonly used in chemical analysis to identify molecules by providing a fingerprint. Initially, challenges were faced due to the lack of a good Raman source, detector, and interference from fluorescence. However, the advent of lasers, multichannel detectors like Photodiode Arrays (PDA) or Charge-Coupled Devices (CCD), and Fourier-transform techniques have overcome these challenges. Additional instruments such as notch filters, tunable filters, laser stop apertures, and spectrometric systems are now used to reduce Rayleigh scattering and obtain high-quality Raman spectra. Raman spectroscopy has become an optimal technique for versatile and minimally invasive spectroscopy. It has found increasing applications in heterogeneous catalysis research, allowing for in situ and operando studies with high temporal and spatial resolutions. Raman microscopy is also well-suited for forensic examination, providing versatility, specificity, high spatial resolution, faster analysis times, and non-invasiveness. Additionally, Raman spectroscopy has been used to detect Raman-active compounds applied to substrates, enabling the detection of Raman scattering. Raman microspectrometry is a nondestructive analytical technique used for the study of light diffused by samples, with applications in various fields such as art and archaeology.
How to analize raman spectra?5 answersRaman spectra can be analyzed using various methods and approaches. One way is to compare the position, resonance behavior, and linewidth of the D and G bands. Another approach is to compute Raman spectra of polycrystalline materials from first principles, taking into account the effect of coupling between lattice vibrations and the induced electric field. Molecular dynamics simulations can also be used to model polymer systems and predict their Raman spectra, providing both spectral and structural information. Additionally, a classification method using linear intensity calibration has been proposed to deal with intensity distortions in Raman spectra, allowing for more flexible analysis under various measurement conditions. Finally, a method for acquiring Raman spectra with a high signal-to-noise ratio has been developed, which involves computing the difference between preliminary measurement data and comparing it to a preset threshold.
How can surface-enhanced Raman spectroscopy be used to rapidly and quantitatively determine soil water-soluble nitrogen?4 answersSurface-enhanced Raman spectroscopy (SERS) can be used to rapidly and quantitatively determine soil water-soluble nitrogen. Raman spectroscopy, especially after surface enhancement, has been found to be a sensitive approach for detecting the concentration of soil-available nitrogen. The spectral response of SERS is enhanced by silver nanoparticles (AgNPs) and can be used to identify ammonium nitrogen (NH4-N) and nitrate nitrogen (NO3-N) in different types of soils. Multiple linear regression analysis of Raman peak data can establish a quantitative relationship between soil characteristics, nitrogen concentrations, and spectral data. Additionally, machine learning algorithms, such as least squares support vector machine (LSSVM) optimized by particle swarm methodology, can be used to establish accurate and stable prediction models for quantification. The combination of an ultra-portable Raman spectrometer, scatter-enhanced materials, and machine learning algorithms provides a promising solution for high-efficiency and real-time field detection of soil-available nitrogen.
Is there any SERS spectroscopy done on the Alanine on the metal surface?4 answersSERS spectroscopy has been used to detect and analyze various molecules on metal surfaces, but there is no specific mention of alanine in the abstracts provided. However, there are papers that discuss the application of SERS spectroscopy for detecting biomolecules and analyzing complex electronic transitions on metal surfaces. It is possible that alanine could be studied using SERS spectroscopy, but further research would be needed to determine if it has been specifically investigated on metal surfaces.
How is Raman spectroscopy visualised?5 answersRaman spectroscopy is visualized using a high speed optical chopper to reduce background fluorescence signal and provide a synchronized time-gated optical window for receiving mostly Raman signal while rejecting most or some of the fluorescence signal. The technique allows for Raman analysis of highly radioactive samples by sealing the sample in an alpha-tight capsule and performing Raman measurements through an optical-grade quartz window. In the case of ferecrystal thin films, Raman spectra can be described as a superposition of spectra from the individual components, indicating weak interaction at the interface between the components. Raman microscopy offers a unique approach to follow interactions and reactions inside a single crystal under soak-in or soak-out conditions, providing stable spectra with low background for Raman difference spectroscopy. Raman spectroscopy is also used for the advanced characterization of thin films for solar cells, allowing for the analysis of crystalline structure, chemical composition, and identification of secondary phases.