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Recent Developments in Atomic Force Microscopy and Raman Spectroscopy for Materials Characterization [Working Title]最新文献

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Resonance Raman Spectroscopy Investigation of the Interaction of Molecules Adsorbed on Solid Acid Surfaces 固体酸表面吸附分子相互作用的共振拉曼光谱研究
Lucia Kiyomi Noda
Many solid acids with very strong acid sites, as some zeolites, transition metal exchanged montmorillonites, sulfated metallic oxides, are known to have the oxidizing ability, which can be related to the catalytic activity of these materials. The interaction of these solid acids with aromatic molecules can give rise to several oxidation products. Intermediate species of aromatic molecules formed by interaction with strong solid acids had been reported, as radical cations, proving the oxidizing ability of the solids. Besides radical cations, charge transfer complexes between the solid acids and aromatic molecules can be formed. These radical cations and charge transfer complexes usually show absorption bands in the visible region, opening the possibility of studying these species by Resonance Raman Spectroscopy (RRS). Benzene and substituted benzenes, phenothiazine, t-stilbene, adsorbed on solid acids, are examples of molecules that had been investigated by RRS. Exciting the spectrum with suitable radiation makes it possible to observe the RRS of the species of interest even when its concentration is low, because of the preferential enhancement of the vibrational modes of the chromophore. A review of RRS studies of molecules adsorbed on solid acids is presented. RRS proved valuable in characterizing intermediate species as radical cations or charge transfer complexes formed on the solid acids.
许多酸位非常强的固体酸,如某些沸石、过渡金属交换蒙脱石、硫化金属氧化物等,已知具有氧化能力,这可能与这些材料的催化活性有关。这些固体酸与芳香分子的相互作用可以产生几种氧化产物。与强固体酸相互作用形成的芳香族分子中间种,如自由基阳离子,证明了固体的氧化能力。除了自由基阳离子外,固体酸和芳香族分子之间还可以形成电荷转移配合物。这些自由基阳离子和电荷转移配合物通常在可见光区显示吸收带,这为用共振拉曼光谱(RRS)研究这些物质提供了可能。吸附在固体酸上的苯和取代苯、吩噻嗪、t-二苯乙烯是RRS研究过的分子。由于发色团的振动模式的优先增强,用适当的辐射激发光谱,即使在其浓度较低的情况下,也可以观察到感兴趣的物质的RRS。综述了固体酸吸附分子的RRS研究进展。事实证明,RRS在表征自由基阳离子或在固体酸上形成的电荷转移配合物等中间物质方面是有价值的。
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引用次数: 0
Raman Spectroscopy for Characterization of Hydrotalcite-like Materials Used in Catalytic Reactions 催化反应中类水滑石材料的拉曼光谱表征
Luciano Honorato Chagas, Sandra Shirley Ximeno Chiaro, Alexandre Amaral Leitão, R. Diniz
This chapter covers a brief review of the definition, structural characteristics and main applications of hydrotalcite, an interesting multifunctional material which finds applicability in different areas. Particularly, some catalytic reactions using hydrotalcite or mixed oxides derived from these materials are addressed (Ethanol Steam Reforming, Photochemical conversions, Hydrodesulfurization). The use of Raman Spectroscopy associated with other techniques, such as powder X-ray diffraction (XRD), Extended X-ray Absorption Fine-Structure (EXAFS), Temperature Programmed Reduction of hydrogen (H2-TPR), Fourier-Transform Infrared (FTIR) and Density Functional Theory (DFT) simulations, to characterize this type of material is addressed through examples described in the current literature. In this sense, multidisciplinary efforts must be made in order to increase the understanding of the properties of these materials and the catalytic behavior in the most varied reactions.
本章简要介绍了水滑石的定义、结构特征和主要应用。水滑石是一种有趣的多功能材料,在许多领域都有广泛的应用。特别地,一些使用水滑石或由这些材料衍生的混合氧化物的催化反应被处理(乙醇蒸汽重整,光化学转化,加氢脱硫)。利用拉曼光谱和其他技术,如粉末x射线衍射(XRD),扩展x射线吸收精细结构(EXAFS),氢的温度程序还原(H2-TPR),傅里叶变换红外(FTIR)和密度泛函数理论(DFT)模拟,通过当前文献中描述的例子来描述这种类型的材料。从这个意义上说,必须进行多学科的努力,以增加对这些材料的性质和在大多数不同反应中的催化行为的理解。
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引用次数: 0
High-Wavenumber Raman Analysis 高波数拉曼分析
Shan Yang
Raman spectra are molecule specific, and their peaks in the fingerprint region (200-2000 cm−1) are often sufficient for material identification. High-wavenumber signals (> 2000 cm−1) are rare in inorganic material but rich in organic materials containing light hydrogen atoms. Reports on high-wavenumber (HW) Raman signals are far less than fingerprint signals. This could be partially attributed to the difficulty obtaining HW Raman signals, especially from biological materials containing fluorescent proteins. The development and the availability of InGaAs array and the near-infrared (NIR) laser enabled the acquisition of distinct HW Raman from bio-materials. In this chapter, we will introduce recent applications of HW Raman spectroscopy on different materials, especially on biological tissues. Raman instrumentation based on multiple lasers or multiple spectrometers will also be discussed.
拉曼光谱具有分子特异性,其在指纹区(200-2000 cm−1)的峰通常足以用于物质识别。高波数信号(> 2000 cm−1)在无机材料中很少见,但在含有轻氢原子的有机材料中却很丰富。关于高波数(HW)拉曼信号的报道远远少于指纹信号。这可能部分归因于难以获得HW拉曼信号,特别是从含有荧光蛋白的生物材料中。InGaAs阵列和近红外(NIR)激光器的发展和可用性使得从生物材料中获取不同的HW拉曼成为可能。在这一章中,我们将介绍近年来HW拉曼光谱在不同材料上的应用,特别是在生物组织上的应用。基于多激光器或多光谱仪的拉曼仪器也将被讨论。
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引用次数: 2
Tip-Enhanced Raman Spectroscopy of 2D Semiconductors 二维半导体的尖端增强拉曼光谱
M. Rahaman, D. Zahn
Two-dimensional (2D) semiconductors are one of the most extensively studied modern materials showing potentials in large spectrum of applications from electronics/optoelectronics to photocatalysis and CO2 reduction. These materials possess astonishing optical, electronic, and mechanical properties, which are different from their bulk counterparts. Due to strong dielectric screening, local heterogeneities such as edges, grain boundaries, defects, strain, doping, chemical bonding, and molecular orientation dictate their physical properties to a great extent. Therefore, there is a growing demand of probing such heterogeneities and their effects on the physical properties of 2D semiconductors on site in a label-free and non-destructive way. Tip-enhanced Raman spectroscopy (TERS), which combines the merits of both scanning probe microscopy and Raman spectroscopy, has experienced tremendous progress since its introduction in the early 2000s and is capable of local spectroscopic investigation with (sub-) nanometer spatial resolution. Introducing this technique to 2D semiconductors not only enables us to understand the effects of local heterogeneities, it can also provide new insights opening the door for novel quantum mechanical applications. This book chapter sheds light on the recent progress of local spectroscopic investigation and chemical imaging of 2D semiconductors using TERS. It also provides a basic discussion of Raman selection rules of 2D semiconductors important to understand TERS results. Finally, a brief outlook regarding the potential of TERS in the field of 2D semiconductors is provided.
二维(2D)半导体是研究最广泛的现代材料之一,在从电子学/光电子学到光催化和二氧化碳还原的大范围应用中显示出潜力。这些材料具有惊人的光学、电子和机械性能,与它们的块状材料不同。由于强介电屏蔽,局部非均质性,如边缘、晶界、缺陷、应变、掺杂、化学键和分子取向,在很大程度上决定了它们的物理性质。因此,人们越来越需要以无标记和非破坏性的方式在现场探测这种非均质性及其对二维半导体物理性质的影响。尖端增强拉曼光谱(TERS)结合了扫描探针显微镜和拉曼光谱的优点,自21世纪初问世以来取得了巨大的进步,能够在(亚)纳米空间分辨率下进行局部光谱研究。将这种技术引入到二维半导体中,不仅使我们能够理解局部异质性的影响,还可以为新的量子力学应用提供新的见解。本章介绍了局部光谱研究和二维半导体化学成像的最新进展。本文还对二维半导体的拉曼选择规则进行了基本的讨论,这对理解TERS结果很重要。最后,对二维半导体领域的潜力进行了简要展望。
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引用次数: 0
Application of Raman Spectroscopy in Biomedical Diagnostics 拉曼光谱在生物医学诊断中的应用
N. Mhlanga, Phumlani Tetyana, S. Nyembe, L. Sikhwivhilu
In vivo cellular imaging and in vitro assays or sensors are fundamentally used to study the spatiotemporal interaction of molecules at biological interfaces. The study of these interfaces informs various applications such as diagnostics/detection of foreign materials or processes in the biological system. Raman spectroscopy, an optical, non-destructive, label-free fingerprinting tool offers a wide array of applications in both in vitro and in vivo diagnostics owing to its relatively short acquisition time, non-invasiveness and ability to provide biochemical molecular information. It has been explored in tissue imaging, in vitro diagnosis, DNA/RNA analysis, metabolic accretions, single cell analysis photodynamic therapy, etc. The chapter details the application of the optical Raman platform in the detection and imaging of diseases/tissues. The challenges associated with SERS applications and the future outlook as a biomedical diagnostic tool are also discussed.
体内细胞成像和体外检测或传感器基本上用于研究生物界面上分子的时空相互作用。这些界面的研究为各种应用提供了信息,如生物系统中异物或过程的诊断/检测。拉曼光谱是一种光学、非破坏性、无标签的指纹识别工具,由于其相对较短的采集时间、非侵入性和提供生化分子信息的能力,在体外和体内诊断中都有广泛的应用。在组织成像、体外诊断、DNA/RNA分析、代谢增积、单细胞分析、光动力治疗等方面进行了探索。本章详细介绍了光学拉曼平台在疾病/组织的检测和成像中的应用。本文还讨论了与SERS应用相关的挑战以及SERS作为生物医学诊断工具的未来前景。
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引用次数: 4
Deep Learning Approach for Raman Spectroscopy 拉曼光谱的深度学习方法
M. Jinadasa, A. C. Kahawalage, M. Halstensen, Nils-Olav Skeie, Klaus‐Joachim Jens
Raman spectroscopy is a widely used technique for organic and inorganic chemical material identification. Throughout the last century, major improvements in lasers, spectrometers, detectors, and holographic optical components have uplifted Raman spectroscopy as an effective device for a variety of different applications including fundamental chemical and material research, medical diagnostics, bio-science, in-situ process monitoring and planetary investigations. Undoubtedly, mathematical data analysis has been playing a vital role to speed up the migration of Raman spectroscopy to explore different applications. It supports researchers to customize spectral interpretation and overcome the limitations of the physical components in the Raman instrument. However, large, and complex datasets, interferences from instrumentation noise and sample properties which mask the true features of samples still make Raman spectroscopy as a challenging tool. Deep learning is a powerful machine learning strategy to build exploratory and predictive models from large raw datasets and has gained more attention in chemical research over recent years. This chapter demonstrates the application of deep learning techniques for Raman signal-extraction, feature-learning and modelling complex relationships as a support to researchers to overcome the challenges in Raman based chemical analysis.
拉曼光谱是一种广泛应用于有机和无机化学材料鉴定的技术。在整个上个世纪,激光、光谱仪、探测器和全息光学元件的重大改进提升了拉曼光谱作为各种不同应用的有效设备,包括基础化学和材料研究、医学诊断、生物科学、现场过程监测和行星调查。毫无疑问,数学数据分析在加速拉曼光谱迁移探索不同应用方面一直发挥着至关重要的作用。它支持研究人员定制光谱解释并克服拉曼仪器中物理组件的限制。然而,庞大而复杂的数据集,来自仪器噪声的干扰和样品特性掩盖了样品的真实特征,仍然使拉曼光谱成为一种具有挑战性的工具。深度学习是一种强大的机器学习策略,用于从大型原始数据集构建探索性和预测性模型,近年来在化学研究中受到越来越多的关注。本章展示了深度学习技术在拉曼信号提取、特征学习和复杂关系建模中的应用,以支持研究人员克服基于拉曼的化学分析中的挑战。
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引用次数: 2
Raman Spectroscopy in the Analysis of Textile Structures 拉曼光谱在纺织品结构分析中的应用
D. Puchowicz, M. Cieślak
Raman spectroscopy as a non-destructive technique is very often used to analyze a historic or forensic material. It is also a very valuable method of testing textile materials, especially modified and functionalized. In the case of textiles, the advantages of this technique is the compatibility inter alia with FTIR, which is helpful in natural fibers identification or to distinguish between isomers and conformers of synthetic fibers. The work shows the possibility of special application of the Raman spectroscopy to the characterization of textile materials after modification and functionalization with nanoparticles. A functionalized textile structure with a metallic surface can provide a good basis for analytical studies using surface enhanced Raman spectroscopy as it was presented on the example of wool, cotton and aramid fibers.
拉曼光谱作为一种非破坏性技术,经常被用于分析历史或法医材料。它也是一种非常有价值的测试纺织材料,特别是改性和功能化材料的方法。就纺织品而言,该技术的优点是与FTIR的兼容性,这有助于识别天然纤维或区分合成纤维的异构体和构象。这项工作显示了拉曼光谱在纳米粒子改性和功能化后的纺织材料表征中的特殊应用的可能性。以羊毛、棉花和芳纶纤维为例,介绍了具有金属表面的功能化织物结构,为利用表面增强拉曼光谱进行分析研究提供了良好的基础。
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引用次数: 11
Raman Spectroscopy and Mapping Analysis of Low-Dimensional Nanostructured Materials and Systems 低维纳米结构材料和系统的拉曼光谱和映射分析
K. Krishnamoorthy, Sang‐Jae Kim
This chapter describes the use of Raman spectroscopy and mapping analysis for the characterization of low dimensional nanostructures, including 2D sheets (graphene oxide, graphene sheets, MoS2, siloxene), and one-dimensional carbyne chains. The Raman mapping analysis and their application towards understanding the molecular level interactions in these low dimensional materials, nanostructured polymer composites, and nanopaints are also discussed. The stoichiometric composition and structure of these low dimensional materials were correlated with the Raman spectral and mapping analysis. Further, Raman spectroscopy for understanding or probing the mechanism of mechanical to electrical energy harvesting properties of carbyne films via the structural transformation from cumulene to polynne networks of carbyne is demonstrated.
本章描述了使用拉曼光谱和映射分析来表征低维纳米结构,包括二维薄片(氧化石墨烯、石墨烯薄片、二硫化钼、硅氧烷)和一维碳链。本文还讨论了拉曼映射分析及其在低维材料、纳米结构聚合物复合材料和纳米颜料中分子水平相互作用的应用。这些低维材料的化学计量组成和结构与拉曼光谱和映射分析相关。此外,还证明了拉曼光谱可以理解或探索碳炔薄膜通过从积云烯到聚乙烯网络的结构转变而获得机械到电能的机制。
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引用次数: 0
Raman Features of Linear-Carbon-Chain and Multiwall Carbon Nanotube Composites 线性碳链和多壁碳纳米管复合材料的拉曼特性
Y. Saito, K. Asaka
Structural and electronic properties of multiwall carbon nanotubes (MWCNTs) containing linear carbon chains (LCCs), which were produced by arc-discharge between carbon electrodes in an atmospheric pressure, have been studied by Raman spectroscopy as well as electron microscopy. Spectral features of Raman scattering from the LCC/MWCNT composites were reviewed with emphasis on the spectra obtained with a low energy photon (1.58 eV, 785 nm) excitation, which have not been described in detail so far. Characteristic frequencies of LCC stretching modes with the 785 nm laser excitation are observed at around 1740, 1759, and 1789 cm−1. In a low frequency region, radial breathing modes (RBMs) of the innermost tube within MWCNTs are observed at specific frequencies of 293, 341, 402, and 510 cm−1; the highest RBM frequency is tentatively assigned to a tube with the chiral index (4,3), whose diameter is expected to 0.50 nm. LCC bands observed with various excitation wavelengths from 488 to 785 nm show that the band consists of several peaks, and the relative intensities of constituent peaks change with the excitation wavelengths due to the resonance effect; the higher the excitation photon energy is, the higher the intensity of high-frequency LCC modes.
利用拉曼光谱和电子显微镜研究了常压下碳电极间电弧放电制备的含线性碳链的多壁碳纳米管(MWCNTs)的结构和电子特性。综述了LCC/MWCNT复合材料的拉曼散射光谱特征,重点介绍了低能量光子(1.58 eV, 785 nm)激发下的拉曼散射光谱,这是目前尚未详细描述的。在785 nm激光激励下,LCC拉伸模式的特征频率约为1740、1759和1789 cm−1。在低频区域,在293、341、402和510 cm−1的特定频率下,观察到MWCNTs内最内层管的径向呼吸模式(rbm);最高RBM频率暂定为具有手性指数(4,3)的管,其直径预计为0.50 nm。在488 ~ 785 nm不同激发波长下的LCC波段观测结果表明,该波段由多个峰组成,各组成峰的相对强度由于共振效应而随激发波长的变化而变化;激发光子能量越高,高频LCC模式的强度越高。
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引用次数: 0
期刊
Recent Developments in Atomic Force Microscopy and Raman Spectroscopy for Materials Characterization [Working Title]
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