激光喇曼光谱技术在食品科学中的应用

激光喇曼光谱技术是一种非侵入、非弹性的光散射技术,它能够无损地提供丰富的分子结构和物质成分的信息。近来它在食品工业领域表现出很大的应用潜力。本文综述了激光喇曼光谱技术在食品科学中的应用及其新进展。主要包括果蔬农药残留的检测、肉类产品质量检测、伪劣食品鉴定、食物蛋白的研究以及食品加工监控等方面的应用。并对喇曼光谱技术在这些方面的应用前景作了进一步的展望。     

大白鼠糖致白内障的激光喇曼光谱研究

作者用激光喇曼光谱法分析半乳糖导致大白鼠晶状体混浊过程中构象的变化。通过SPEX 1403型激光喇曼光谱仪得到了正常及不同混浊度晶状体的喇曼光谱。结果表明晶状体可溶性蛋白质二级结构的光谱未见异常,其残基酪氨酸及色氨酸微环境起了变化。随着晶状体混浊度的增加,SH谱峰强度变小而S-S键谱峰增强,同时观察到荧光背景逐渐加强。经分析认为晶状体混浊是与蛋白质分子的聚集有关。     

共振喇曼光谱技术在恶性肿瘤诊断中的应用

目的：探讨共振喇曼光谱技术用于早期恶性肿瘤诊断的研究。方法：利用氩离子激光作为线偏振光的特点,采集偏振荧光光谱,对荧光光谱的偏振态进行分析。利用不同荧光物质的荧光可能具有不同偏振态的特点减少其它荧光物质的荧光对光谱分析的影响。血清样品产生的荧光也具有确定的偏振性。对所检测病人血清经激光分析仪进行喇曼光谱技术分析,光谱数据经计算机软件处理,自动显示图谱和数据,并直接给出各项指标及诊断提示。本结果与细胞病理学结果进行了对照研究。结果：恶性肿瘤样本176例,检测出阳性病例141例,阳性符合率为80.1%;良性肿瘤样本52例,4例阳性,假阳性率为7.7%;正常体检样本248例,检测结果均为阴性。结论：喇曼光谱技术适用于肿瘤初筛、普查及早期诊断,有推广应用前途。     

共振喇曼光谱技术在恶性肿瘤诊断中的应用

目的:探讨共振喇曼光谱技术用于早期恶性肿瘤诊断的研究。方法:利用氩离子激光作为线偏振光的特点,采集偏振荧光光谱,对荧光光谱的偏振态进行分析。利用不同荧光物质的荧光可能具有不同偏振态的特点减少其它荧光物质的荧光对光谱分析的影响。血清样品产生的荧光也具有确定的偏振性。对所检测病人血清经激光分析仪进行喇曼光谱技术分析,光谱数据经计算机软件处理,自动显示图谱和数据,并直接给出各项指标及诊断提示。本结果与细胞病理学结果进行了对照研究。结果:恶性肿瘤样本176例,检测出阳性病例141例,阳性符合率为80.1%;良性肿瘤样本52例,4例阳性,假阳性率为7.7%;正常体检样本248例,检测结果均为阴性。结论:喇曼光谱技术适用于肿瘤初筛、普查及早期诊断,有推广应用前途。     

细胞色素bc_1复合物的喇曼光谱研究

对提纯的细胞色素ｂｃ１复合物的氧化态和底物琥珀酸还原态两个样品进行了共振喇曼和富立叶喇曼光谱测定和比较。琥珀酸还原态与氧化态的共振谱比较明显有变化,而富立叶红外谱没有什么差别。说明呼吸链的电子传递体在氧化态与还原态交替变化进行电子传递时,蛋白总体构象不发生大的改变,而活性中心血红素辅基局部构象变化很大。     

水稻病毒激光喇曼光谱的初步探讨

本文初步探讨水稻病毒激光喇曼光谱,分析了谱线与病毒中核酸蛋白质结构的关系。确信应用激光喇曼光谱研究水稻病毒是具有信息量大、高灵敏及高分辨本领的。     

用共振喇曼光谱研究血卟啉衍生物对紫膜菌紫质的光敏作用

本文用准共振喇曼光谱（ＲＲＳ）作为研究光动力损伤过程的探针,从分子水平上研究了光敏剂血卟啉衍生物与紫膜菌紫质的作用。在观察到损伤现象的基础上对损伤部位进行了定位。初步确定生色团视黄醛中Ｃ－Ｃ和Ｃ＝Ｃ等键为其易受损部位。     

用共振喇曼光谱研究血卟啉衍生笺对紫膜菌紫质的光敏作用

本文用准共振喇曼光谱作为研究光动力损伤过程的探讨，从分子水平上研究了光敏剂血卟啉衍生物与紫膜菌紫质的作用。在观察到损伤现象的基础上对损伤部位进行了定位。初步确定生色团视黄醛中Ｃ－Ｃ和Ｃ＝Ｃ等键为其易受损部位。     

古人类骨中羟磷灰石的XRD和喇曼光谱分析

人骨残骸是生物考古的主要对象,而骨骼污染鉴别是样品选择的依据,也是生物考古的前提。利用X射线衍射（XRD）和喇曼光谱相结合的方法,通过对新疆克雅河圆沙古城遗传出土的人类骨骼中羟磷灰石的分析,来辨析骨骼污染程度。研究结果表明,两种方法的有机结合,准确反映了骨骼中羟磷石结晶度的变化,从而可简单、较为有效地鉴别古代人类骨骼样品的污染。     

寡聚脱氧核苷酸d(G-C)_3的激光喇曼谱及其分析

用改进的固相磷酰三酯法合成了oligo-d(G-C)_3。以氩离子激光为激发光源,波长488nm.,在室温条件下,分别测定了纯化后的oligo-d(G-C)_3和其组分单体5’-dGMP和5’-dCMP的激光喇曼谱。观察到被测定的物质在300-2500cm~(-1)频率区间,各自都有其特征的谱形和喇曼峰。5’-dGMP和5’-dCMP谱中大多数特征峰在寡聚体的谱中消失,而在oligo-d(G-C)_3谱中出现了几处新的喇曼峰。经查证,峰832,851和899cm~(-1)系糖-磷酸主链的特征喇曼峰,另外几处峰与DNA的构象有关。实验结果表明oligo-d(G-C)_3在水溶液中(室温)主要以B-构象存在。     

Direct Observation of Single DNA Structural Alterations at Low Forces with Surface-Enhanced Raman Scattering

DNA experiences numerous mechanical events, necessitating single-molecule force spectroscopy techniques to provide insight into DNA mechanics as a whole system. Inherent Brownian motion limits current force spectroscopy methods from observing possible bond level structural changes. We combine optical trapping and surface-enhanced Raman scattering to establish a direct relationship between DNA’s extension and structure in the low force, entropic regime. A DNA molecule is trapped close to a surface-enhanced Raman scattering substrate to facilitate a detectable Raman signal. DNA Raman modes shift in response to applied force, indicating phosphodiester mechanical alterations. Molecular dynamic simulations confirm the local structural alterations and the Raman sensitive band identified experimentally. The combined Raman and force spectroscopy technique, to our knowledge, is a novel methodology that can be generalized to all single-molecule studies.     

Optimisation of Wavelength Modulated Raman Spectroscopy: Towards High Throughput Cell Screening

In the field of biomedicine, Raman spectroscopy is a powerful technique to discriminate between normal and cancerous cells. However the strong background signal from the sample and the instrumentation affects the efficiency of this discrimination technique. Wavelength Modulated Raman spectroscopy (WMRS) may suppress the background from the Raman spectra. In this study we demonstrate a systematic approach for optimizing the various parameters of WMRS to achieve a reduction in the acquisition time for potential applications such as higher throughput cell screening. The Signal to Noise Ratio (SNR) of the Raman bands depends on the modulation amplitude, time constant and total acquisition time. It was observed that the sampling rate does not influence the signal to noise ratio of the Raman bands if three or more wavelengths are sampled. With these optimised WMRS parameters, we increased the throughput in the binary classification of normal human urothelial cells and bladder cancer cells by reducing the total acquisition time to 6 s which is significantly lower in comparison to previous acquisition times required for the discrimination between similar cell types.     

Understanding amyloid fibril formation using protein fragments: structural investigations via vibrational spectroscopy and solid-state NMR

It is well established that amyloid proteins play a primary role in neurodegenerative diseases. Alzheimer’s, Parkinson’s, type II diabetes, and Creutzfeldt-Jakob’s diseases are part of a wider family encompassing more than 50 human pathologies related to aggregation of proteins. Although this field of research is thoroughly investigated, several aspects of fibrillization remain misunderstood, which in turn slows down, or even impedes, advances in treating and curing amyloidoses. To solve this problem, several research groups have chosen to focus on short fragments of amyloid proteins, sequences that have been found to be of great importance for the amyloid formation process. Studying short peptides allows bypassing the complexity of working with full-length proteins and may provide important information relative to critical segments of amyloid proteins. To this end, efficient biophysical tools are required. In this review, we focus on two essential types of spectroscopic techniques, i.e., vibrational spectroscopy and its derivatives (conventional Raman scattering, deep-UV resonance Raman (DUVRR), Raman optical activity (ROA), surface-enhanced Raman spectroscopy (SERS), tip-enhanced Raman spectroscopy (TERS), infrared (IR) absorption spectroscopy, vibrational circular dichroism (VCD)) and solid-state nuclear magnetic resonance (ssNMR). These techniques revealed powerful to provide a better atomic and molecular comprehension of the amyloidogenic process and fibril structure. This review aims at underlining the information that these techniques can provide and at highlighting their strengths and weaknesses when studying amyloid fragments. Meaningful examples from the literature are provided for each technique, and their complementarity is stressed for the kinetic and structural characterization of amyloid fibril formation.     

Raman characterization and chemical imaging of biocolloidal self-assemblies, drug delivery systems, and pulmonary inhalation aerosols: A review

This review presents an introduction to Raman scattering and describes the various Raman spectroscopy, Raman microscopy, and chemical imaging techniques that have demonstrated utility in biocolloidal self-assemblies, pharmaceutical drug delivery systems, and pulmonary research applications. Recent Raman applications to pharmaceutical aerosols in the context of pulmonary inhalation aerosol delivery are discussed. The "molecular fingerprint" insight that Raman applications provide includes molecular structure, drug-carrier/excipient interactions, intramolecular and intermolecular bonding, surface structure, surface and interfacial interactions, and the functional groups involved therein. The molecular, surface, and interfacial properties that Raman characterization can provide are particularly important in respirable pharmaceutical powders, as these particles possess a higher surface-area-to-volume ratio; hence, understanding the nature of these solid surfaces can enable their manipulation and tailoring for functionality at the nanometer level for targeted pulmonary delivery and deposition. Moreover, Raman mapping of aerosols at the micro- and nanometer level of resolution is achievable with new, sophisticated, commercially available Raman microspectroscopy techniques. This noninvasive, highly versatile analytical and imaging technique exhibits vast potential for in vitro and in vivo molecular investigations of pulmonary aerosol delivery, lung deposition, and pulmonary cellular drug uptake and disposition in unfixed living pulmonary cells.     

Kinetic resonance Raman spectroscopy of carotenoids: A sensitive kinetic monitor of bacteriorhodopsin mediated membrane potential changes

A rapid (14 – 22 μs) light-induced, bacteriorhodopsin mediated membrane potential has been detected using the technique of kinetic resonance Raman spectroscopy and the model system of β-carotene incorporated into reconstituted vesicles containing bacteriorhodopsin. Our data demonstrate that the kinetic resonance Raman spectrum of β-carotene is an extremely sensitive monitor of kinetic alterations in membrane potential with micron spatial resolution in a highly scattering medium. In addition, our Raman results indicate that the potential sensitivity of β-carotene is an excited state property of the molecule, thus making it an electrochromic monitor of membrane potential. We feel the techniques illustrated in this paper have the advantage of being a native probe of kinetic membrane potential changes and will be applicable to a wide variety of biological systems without the perturbing side-effects which often accompany the use of non-biological, potential-sensitive dyes.     

Research Progress of Raman Spectroscopy in Drug Analysis

Raman spectroscopy is a spectroscopic analysis technique that enables rapid qualitative and quantitative detection based on inelastic collision and Raman scattering intensity. This review detailed the generation principle, instrument composition, influencing factors, and common classifications of Raman spectrum. Furthermore, it summarized and forecast the research progress of Raman spectroscopy in the field of drug analysis simultaneously over the past decade, including the identification of active pharmaceutical ingredients (APIs), qualitative and quantitative studies of pharmaceutical preparations, detection of illicit drugs, the identification of Chinese herbal medicines, and the combination with other technologies. The development of Raman spectroscopy in other fields is additionally summarized.     

Raman spectroscopy in biomedicine – non-invasive in vitro analysis of cells and extracellular matrix components in tissues

Raman spectroscopy is an established laser-based technology for the quality assurance of pharmaceutical products. Over the past few years, Raman spectroscopy has become a powerful diagnostic tool in the life sciences. Raman spectra allow assessment of the overall molecular constitution of biological samples, based on specific signals from proteins, nucleic acids, lipids, carbohydrates, and inorganic crystals. Measurements are non-invasive and do not require sample processing, making Raman spectroscopy a reliable and robust method with numerous applications in biomedicine. Moreover, Raman spectroscopy allows the highly sensitive discrimination of bacteria. Rama spectra retain information on continuous metabolic processes and kinetics such as lipid storage and recombinant protein production. Raman spectra are specific for each cell type and provide additional information on cell viability, differentiation status, and tumorigenicity. In tissues, Raman spectroscopy can detect major extracellular matrix components and their secondary structures. Furthermore, the non-invasive characterization of healthy and pathological tissues as well as quality control and process monitoring of in vitro-engineered matrix is possible. This review provides comprehensive insight to the current progress in expanding the applicability of Raman spectroscopy for the characterization of living cells and tissues, and serves as a good reference point for those starting in the field.     

The application of spectroscopy techniques for diagnosis of malaria parasites and arboviruses and surveillance of mosquito vectors: A systematic review and critical appraisal of evidence

Spectroscopy-based techniques are emerging diagnostic and surveillance tools for mosquito-borne diseases. This review has consolidated and summarised recent research in the application of Raman and infrared spectroscopy techniques including near- and mid-infrared spectroscopy for malaria and arboviruses, identified knowledge gaps, and recommended future research directions. Full-length peer-reviewed journal articles related to the application of Raman and infrared (near- and mid-infrared) spectroscopy for malaria and arboviruses were systematically searched in PUBMED, MEDILINE, and Web of Science databases using the PRISMA guidelines. In text review of identified studies included the methodology of spectroscopy technique used, data analysis applied, wavelengths used, and key findings for diagnosis of malaria and arboviruses and surveillance of mosquito vectors. A total of 58 studies met the inclusion criteria for our systematic literature search. Although there was an increased application of Raman and infrared spectroscopy-based techniques in the last 10 years, our review indicates that Raman spectroscopy (RS) technique has been applied exclusively for the diagnosis of malaria and arboviruses. The mid-infrared spectroscopy (MIRS) technique has been assessed for the diagnosis of malaria parasites in human blood and as a surveillance tool for malaria vectors, whereas the near-infrared spectroscopy (NIRS) technique has almost exclusively been applied as a surveillance tool for malaria and arbovirus vectors.Conclusions/SignificanceThe potential of RS as a surveillance tool for malaria and arbovirus vectors and MIRS for the diagnosis and surveillance of arboviruses is yet to be assessed. NIRS capacity as a surveillance tool for malaria and arbovirus vectors should be validated under field conditions, and its potential as a diagnostic tool for malaria and arboviruses needs to be evaluated. It is recommended that all 3 techniques evaluated simultaneously using multiple machine learning techniques in multiple epidemiological settings to determine the most accurate technique for each application. Prior to their field application, a standardised protocol for spectra collection and data analysis should be developed. This will harmonise their application in multiple field settings allowing easy and faster integration into existing disease control platforms. Ultimately, development of rapid and cost-effective point-of-care diagnostic tools for malaria and arboviruses based on spectroscopy techniques may help combat current and future outbreaks of these infectious diseases.     

Resonance Raman Spectroscopy of Extreme Nanowires and Other 1D Systems

This paper briefly describes how nanowires with diameters corresponding to 1 to 5 atoms can be produced by melting a range of inorganic solids in the presence of carbon nanotubes. These nanowires are extreme in the sense that they are the limit of miniaturization of nanowires and their behavior is not always a simple extrapolation of the behavior of larger nanowires as their diameter decreases. The paper then describes the methods required to obtain Raman spectra from extreme nanowires and the fact that due to the van Hove singularities that 1D systems exhibit in their optical density of states, that determining the correct choice of photon excitation energy is critical. It describes the techniques required to determine the photon energy dependence of the resonances observed in Raman spectroscopy of 1D systems and in particular how to obtain measurements of Raman cross-sections with better than 8% noise and measure the variation in the resonance as a function of sample temperature. The paper describes the importance of ensuring that the Raman scattering is linearly proportional to the intensity of the laser excitation intensity. It also describes how to use the polarization dependence of the Raman scattering to separate Raman scattering of the encapsulated 1D systems from those of other extraneous components in any sample.