An ab initio and DFT study of structure and vibrational spectra of γ form of Oleic acid: Comparison to experimental data

Oleic acid (cis-9-octadecenoic acid) is the most abundant cis-unsaturated fatty acid in nature; it is distributed in almost all organisms. In this work, we present a detailed vibrational spectroscopy investigation of Oleic acid by using infrared and Raman spectroscopies. These data are supported by quantum mechanical calculations, which allow us to characterize completely the vibrational spectra of this compound. The equilibrium geometry, harmonic vibrational frequencies, infrared intensities and activities of Raman scattering were calculated by ab initio Hartree-Fock (HF) and density functional theory (DFT) employing B3LYP with complete relaxation in the potential energy surface using 6-311G(d, p) basis set. After a proper scaling the calculated wavenumbers show a very good agreement with the observed values. A complete vibrational assignment is provided for the observed Raman and infrared spectra of Oleic acid. In this work, we also investigate the deviation of vibrational wavenumbers computed with two quantum chemical methods (HF and B3LYP).     

Nuclear resonance vibrational spectroscopy--NRVS

The recent, synchrotron-based vibrational technique nuclear resonance vibrational spectroscopy (NRVS) is introduced. The method can be used for a number of M?ssbauer active isotopes including 57Fe, which has yielded most of the results to date. The NRVS experiment can be thought of as M?ssbauer spectroscopy with vibrational sidebands. Importantly, the NRVS experiment provides the complete set of bands corresponding to modes that involve motion of the iron atom. The method has a selectivity reminiscent of that of resonance Raman spectroscopy, but with the significant advantage that NRVS is not subject to the optical selection rules of Raman or infrared spectroscopy. Indeed, NRVS provides the ultimate limit in selectivity because only the vibrational dynamics of the probe nucleus contribute to the observed signal. All iron-ligand modes will be observed, including many that had not been previously observed. For hemes, these include in-plane iron vibrations that have not yet been reported by resonance Raman studies and the iron-imidazole stretch that has not been identified in six-coordinate porphyrins. Other modes that can be investigated include that of heme doming that is expected to be a low-frequency mode. The experimental setup at a beam line and sample requirements for iron-based derivatives are presented. Both powder and polarized single-crystal measurements can be made. The general features of data extraction and analysis are given. Data for heme and heme proteins are given. Examples of assignment of spectra for nitrosyl and carbonyl derivatives are given. These data demonstrate the importance of peripheral substituents on the vibrational spectrum of heme derivatives. Delocalization of modes appears to be common. Although this technique has only been available for a relatively short time, this early progress report indicates that NRVS has significant potential for probing the dynamics of Fe-containing molecules of biological interest.     

A Multiscale Vibrational Spectroscopic Approach for Identification and Biochemical Characterization of Pollen

Background

Analysis of pollen grains reveals valuable information on biology, ecology, forensics, climate change, insect migration, food sources and aeroallergens. Vibrational (infrared and Raman) spectroscopies offer chemical characterization of pollen via identifiable spectral features without any sample pretreatment. We have compared the level of chemical information that can be obtained by different multiscale vibrational spectroscopic techniques.

Methodology

Pollen from 15 different species of Pinales (conifers) were measured by seven infrared and Raman methodologies. In order to obtain infrared spectra, both reflectance and transmission measurements were performed on ground and intact pollen grains (bulk measurements), in addition, infrared spectra were obtained by microspectroscopy of multigrain and single pollen grain measurements. For Raman microspectroscopy measurements, spectra were obtained from the same pollen grains by focusing two different substructures of pollen grain. The spectral data from the seven methodologies were integrated into one data model by the Consensus Principal Component Analysis, in order to obtain the relations between the molecular signatures traced by different techniques.

Results

The vibrational spectroscopy enabled biochemical characterization of pollen and detection of phylogenetic variation. The spectral differences were clearly connected to specific chemical constituents, such as lipids, carbohydrates, carotenoids and sporopollenins. The extensive differences between pollen of Cedrus and the rest of Pinaceae family were unambiguously connected with molecular composition of sporopollenins in pollen grain wall, while pollen of Picea has apparently higher concentration of carotenoids than the rest of the family. It is shown that vibrational methodologies have great potential for systematic collection of data on ecosystems and that the obtained phylogenetic variation can be well explained by the biochemical composition of pollen. Out of the seven tested methodologies, the best taxonomical differentiation of pollen was obtained by infrared measurements on bulk samples, as well as by Raman microspectroscopy measurements of the corpus region of the pollen grain. Raman microspectroscopy measurements indicate that measurement area, as well as the depth of focus, can have crucial influence on the obtained data.     

Introduction to Raman spectrometry]

The frequency shift observed when light is scattered by molecules is called Raman effect. Raman spectroscopy like infrared spectroscopy is a method of studying molecular vibrations. The two methods are complementary, they both give much informations about the structure of molecules and crystals, the nature of chemical bonds and intermolecular interactions. Infrared absorption is allowed if the vibration is accompanied by a variation of electric dipole moment, however Raman scattering will only be observed if a variation of molecular polarizability appears during the vibration. Symetry properties of molecules of crystals lead to the determination of the number of normal vibrational modes and their Raman or infrared activity. The discovery of Laser light source has permitted a great development of Raman instrumentation. Raman spectrometers can easily record the whole spectrum of molecular vibrations (0-4000 cm-1) of samples in solid, liquid or gazeous state. Very small quantities of material are required (several milligrams). Aqueous solutions are easily investigated. Owing to the easy exploration of the low frequency range by modern spectrometers, new areas are opened in the study of the solid state and polymeric chains. Resonance Raman effect allows the spectra of very dilute solutions to be obtained. With the development of rapid scanning systems and electro-optical spectrometers, study of transients species is now possible. Among the physical analysis methods, Raman spectroscopy is now more and more used, and this technic has already been successfully used in numerous biological and biochemical problems.     

Monitoring of complex industrial bioprocesses for metabolite concentrations using modern spectroscopies and machine learning: application to gibberellic acid production

Two rapid vibrational spectroscopic approaches (diffuse reflectance-absorbance Fourier transform infrared [FT-IR] and dispersive Raman spectroscopy), and one mass spectrometric method based on in vacuo Curie-point pyrolysis (PyMS), were investigated in this study. A diverse range of unprocessed, industrial fed-batch fermentation broths containing the fungus Gibberella fujikuroi producing the natural product gibberellic acid, were analyzed directly without a priori chromatographic separation. Partial least squares regression (PLSR) and artificial neural networks (ANNs) were applied to all of the information-rich spectra obtained by each of the methods to obtain quantitative information on the gibberellic acid titer. These estimates were of good precision, and the typical root-mean-square error for predictions of concentrations in an independent test set was <10% over a very wide titer range from 0 to 4925 ppm. However, although PLSR and ANNs are very powerful techniques they are often described as "black box" methods because the information they use to construct the calibration model is largely inaccessible. Therefore, a variety of novel evolutionary computation-based methods, including genetic algorithms and genetic programming, were used to produce models that allowed the determination of those input variables that contributed most to the models formed, and to observe that these models were predominantly based on the concentration of gibberellic acid itself. This is the first time that these three modern analytical spectroscopies, in combination with advanced chemometric data analysis, have been compared for their ability to analyze a real commercial bioprocess. The results demonstrate unequivocally that all methods provide very rapid and accurate estimates of the progress of industrial fermentations, and indicate that, of the three methods studied, Raman spectroscopy is the ideal bioprocess monitoring method because it can be adapted for on-line analysis.     

Effect of (13)C-, (18)O- and (2)H-labeling on the infrared modes of UV-induced phenoxyl radicals

The structure and environment of redox active tyrosines present in several metalloenzymes can be studied by resonance Raman spectroscopy or Fourier transform infrared difference spectroscopy. Assignments of the vibrational modes in vivo often requires in vitro studies on model compounds. This approach is briefly reviewed. New results are shown on the influence of isotope-labeling on the infrared spectra of tyrosine, [Formula: see text] and phenol radicals obtained in vitro by UV-irradiation. The infrared spectra of the radicals are dominated by the [Formula: see text] mode at 1515-1504 cm(-1). The frequency shifts induced on this mode by (13)C- (2)H-, and (18)O-labeling are reported.     

Vibrational spectroscopy to study the properties of redox-active tyrosines in photosystem II and other proteins

Tyrosine radicals play catalytic roles in essential metalloenzymes. Their properties--midpoint potential, stability...--or environment varies considerably from one enzyme to the other. To understand the origin of these properties, the redox tyrosines are studied by a number of spectroscopic techniques, including Fourier transform infrared (FTIR) and resonance Raman (RR) spectroscopy. An increasing number of vibrational data are reported for the (modified-) redox active tyrosines in ribonucleotide reductases, photosystem II, heme catalase and peroxidases, galactose and glyoxal oxidases, and cytochrome oxidase. The spectral markers for the tyrosinyl radicals have been recorded on models of (substituted) phenoxyl radicals, free or coordinated to metals. We review these vibrational data and present the correlations existing between the vibrational modes of the radicals and their properties and interactions formed with their environment: we present that the nu7a(C-O) mode of the radical, observed both by RR and FTIR spectroscopy at 1480-1515 cm(-1), is a sensitive marker of the hydrogen bonding status of (substituted)-phenoxyl and Tyr*, while the nu8a(C-C) mode may probe coordination of the Tyr* to a metal. For photosystem II, the information obtained by light-induced FTIR difference spectroscopy for the two redox tyrosines TyrD and TyrZ and their hydrogen bonding partners is discussed in comparison with those obtained by other spectroscopic methods.     

Vibrational spectroscopic studies of newly developed synthetic biopolymers

Vibrational spectroscopic techniques such as near‐infrared (NIR), Fourier transform infrared (FTIR), and Raman spectroscopy are valuable diagnostic tools that can be used to elucidate comprehensive structural information of numerous biological samples. In this review article, we have highlighted the advantages of nanotechnology and biophotonics in conjunction with vibrational spectroscopic techniques in order to understand the various aspects of new kind of synthetic biopolymers termed as polyethylene glycol (PEG)ylated lipids. In contrast to conventional phospholipids, these novel lipids spontaneously form liposomes or nanovesicles upon hydration, without the supply of external activation energy. The amphiphiles considered in this study differ in their hydrophobic acyl chain length and contain different units of PEG hydrophilic headgroups. We have further explored the thermotropic phase behaviors and associated changes in the conformational order/disorder of such lipids by using variable‐temperature FTIR and Raman spectroscopy. Phase transition temperature profiles and correlation between various spectral indicators have been identified by either monitoring the shifts in the vibrational peak positions or plotting vibrational peak intensity ratios in the C? H stretching region as a function of temperature. To supplement our observations of phase transformations, a thermodynamic approach known as differential scanning calorimetry (DSC) has been applied and revealed a good agreement with the infrared and Raman spectroscopic data. Finally, the investigation of thermal properties of lipids is extremely crucial for numerous purposes, thus the results obtained in this work may find application in a wide variety of studies including the development of PEGylated lipid based drug and substances delivery vehicles. © 2010 Wiley Periodicals, Inc. Biopolymers 93: 403–417, 2010. This article was originally published online as an accepted preprint. The “Published Online” date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com     

Novel approaches for COVID-19 diagnosis and treatment: a nonsystematic review

Since COVID-19 pandemic has been continuously rising and spreading, several original contributions and review articles on COVID-19 started to appear in the literature. The review articles are mainly focus on the current status of the pandemic along with current status of the corona diagnosis and treatment process. Due to some disadvantages of the currently used methods, the improvement on the novel promising diagnosis and treatment methods of corona virus is very important issue. In this review, after briefly discussing the status of current diagnosis and treatment methods, we present to the scientific community, novel promising methods in the diagnosis and treatment of COVID-19. As with other novel approaches, first, the diagnosis potential of mass spectroscopy and optical spectroscopic methods such as UV/visible, infrared, and Raman spectroscopy coupled with chemometrics will be discussed for the corona virus infected samples based on the relevant literature. In vibrational spectroscopy studies, due to complexity of the data, multivariate analysis methods are also applied to data. The application of multivariate analysis tools that can be used to extract useful information from the data for diagnostic and characterisation purposes is also included in this review. The reviewed methods include hierarchical cluster analysis, principal component analysis, linear and quadratic discriminant analysis, support vector machine algorithm, and one form of neural networks namely deep learning method. Second, novel treatment methods such as photodynamic therapy and the use of nanoparticles in the in-corona virus therapy will be discussed. Finally, the advantages of novel promising diagnosis and treatment methods in COVID-19, over standard methods will be discussed. One of the main aims of this paper is to encourage the scientific community to explore the potential of this novel tools for their use in corona virus characterization, diagnosis, and treatment.     

Molecular structure and vibrational spectra of 4-nitrobenzylchloride by ab initio Hartree–Fock and density functional methods

The Fourier transform Raman and Fourier transform infrared spectra 4-nitrobenzylchloride of (NBC) were recorded in the solid phase. The Fourier transform gas phase infrared spectrum of NBC was also recorded. The equilibrium geometry, harmonic vibrational frequencies, infrared intensities and Raman scattering activities were calculated by HF/DFT (B3LYP and BLYP) and SVWN methods with the 6-31G(d,p) basis set. The scaled theoretical wave numbers by B3LYP showed very good agreement with the experimental ones. A detailed interpretation of the infrared and Raman spectra of NBC is reported on the basis of the calculated potential energy distribution. The theoretical spectrograms for the IR spectrum of the title molecule have been constructed.     

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 microspectroscopy as an identification tool within the phylogenetically homogeneous 'Bacillus subtilis' group

Vibrational methods have multiple advantages compared to more classic, chemotaxonomic and even molecular microbial tools for the identification of bacteria. Nevertheless, their definite breakthrough in diagnostic microbiology laboratories is determined by their identification potential. This paper reports on the profound evaluation of Raman spectroscopy to identify closely related species by means of 68 Bacillus strains that are assigned or closely related to the phylogenetically homogeneous ‘Bacillus subtilis’-group (sensu stricto). These strains were chosen to represent biological variation within the selected species and to create a realistic view on the possibilities of this technique

The evaluation resulted in 49/54 correct identifications at the species level for intern and 15/19 for extern testing. The correct identification of strains, which were not represented in the training set, supports the potential as an identification tool within the ‘B. subtilis group’. Considering the vague borderline between the species studied, Raman spectroscopy can be regarded here as a promising application for identifications at the species level.     

Vibrational spectroscopic approach to the study of acetylcholine and related compounds

The present review reports the coordinated application of three spectroscopic methods (Raman, infrared(IR) and inelastic electron tunneling spectroscopy (IETS)) in the study of the conformation of Ach and some analogues (beta-MeAch, Mu and Nic) in solid state, aqueous solution and in interaction with a surface. Useful correlated information is obtained by Raman and IR spectroscopies on the conformational possibilities of these molecules in transition from solid state to aqueous solution. With this information in hand as well as on the basis of Raman and IR study of the nonenzymatic hydrolysis of Ach, the first detailed experimental investigation of the interaction of Ach and beta-MeAch adsorbed on a surface (A1203) is realised by the IETS method. The results are used to discuss an interaction analogous to that of Ach with receptor and another one analogous to that of Ach and AchE.     

Conformations in crystals and solutions of d(CACGTG), d(CCGCGG) and d(GGCGCC) studied by vibrational spectroscopy.

Crystals of self complementary DNA hexamers d(CACGTG), d(CCGCGG) and d(GGCGCC) were grown by vapour diffusion technique and studied by microRaman and microIR spectroscopies. The oligonucleotides were studied in parallel in solution by vibrational spectroscopy. A B- greater than Z transition was detected by Raman spectroscopy during the crystallization process for d(CACGTG). Vibrational spectroscopy shows that the d(GGCGCC) crystals adopt a B geometry. On the contrary the d(CCGCGG) sequence which is shown to be able to undergo in solution or in films quite easily the B- greater than Z transition, remains trapped in crystals in a geometry which may correspond to an intermediate conformation often proposed in models of the B- greater than Z transition. The crystals used in this study were characterized by X-ray diffraction. The unit cell and space group have been determined.     

喇曼光谱技术在生物医学中的应用

喇曼光谱技术是一种非侵入、非弹性散射技术,能够在分子层次上探测物质的临床医学特征和结构特征。本文综述了近十年来喇曼光谱技术在生物医学中的最新发展,归纳出了四种目前在生物医学中最为活跃的喇曼光谱技术：近红外喇曼光谱、紫外共振喇曼光谱、表面增强喇曼光谱和多维喇曼成像技术。详细阐述了这四种技术的特点和适用范围,并且列举了丰富的成功范例。     

Ultraviolet resonance Raman marker bands of the right to left helix structure transitions in DNA and polynucleotide model compounds.

The right to left helix structural transition in purine-pyrimidine alternating copolymers has been extensively studied by vibrational spectroscopies, amongst many other experimental approaches. Here, the use of resonance Raman spectroscopy in the ultraviolet region (223-, 257- and 281 nm excitation wavelengths) to monitor such structural changes is reviewed in the light of new results obtained on poly(dA-dC).poly(dG-dT) on one hand, and the previous results obtained on poly(dG-dC)2, poly(dA-dT)2 and natural DNA (Chicken erythrocytes) on the other. It is now possible to define B----Z transition marker bands involving the proper bases, which show a similar behaviour on structural transition whatever the composition of alternating purine-pyrimidine sequences: the 1580- and 1487 cm-1 lines of the purines, the 1486- and 1294 cm-1 lines of the pyrimidines are good markers in the vibrational spectra recorded at various UV excitation wavelengths.     

Investigation of polylysine-dipalmitoylphosphatidylglycerol interactions in model membranes

The effect of poly(L-lysine) on dipalmitoylphosphatidylglycerol bilayers has been studied by Raman and infrared spectroscopies, small-angle X-ray diffraction, and carboxyfluorescein escape experiments. The polypeptide is shown to induce a stabilization of the bilayer detected by the increase of interchain vibrational coupling and a slight decrease of the overall disorder. In addition, long polylysine (Mr 150,000) induces a positive shift of the gel to fluid transition temperature and, at lipid to lysine molar ratios greater than 1, a lateral phase separation within the bilayer. Raman and infrared spectra indicate modifications at the head group level. In contrast, short polylysine (Mr 4,000) leads to a decrease of the lipid thermotropic transition temperature, and no modification of the polar head group and no phase separation could be observed. These differences between short and long polypeptides are correlated with the conformation the polypeptide adopts upon binding to the lipid, which favors the formation of alpha-helices in the case of long polypeptides (Mr greater than or equal to 14,000). The X-ray data suggest that the basic polypeptide acts as a bridge between neighboring bilayers, thus causing their aggregation and dehydration.     

The use of optical spectroscopy in combinatorial chemistry

Infrared and Raman spectroscopy allow direct spectral analysis of the solid‐phase, thus avoiding the tedious cleavage of compounds from the solid support. With diagnostic bands in starting materials or products, infrared and Raman spectroscopy are efficient in monitoring each reaction step directly on the solid phase. Consequently, infrared and Raman spectroscopy have evolved as the premier analytical methodology for direct analysis on the solid support. While infrared transmission spectroscopy is a general analytical method for resin samples, internal reflection spectroscopy is especially suited for solid polymer substrates known as “pins” or “crowns.” Single bead analysis is done best by infrared microspectroscopy, whereas photoacoustic spectroscopy allows totally nondestructive analysis of resin samples. With an automated accessory, diffuse reflection spectroscopy provides a method for high throughput on‐bead monitoring of solid‐phase reactions. Providing identification based on molecular structure, HPLC‐FTIR is, therefore, complementary to LC‐MS. Additionally, Raman spectroscopy as a complement to infrared spectroscopy can be applied to resin samples and—using a Raman microscope—to single beads. Fluorometry as an extremely sensitive spectroscopic detection method allows rapid quantification of organic reactions directly on the resin. © 1999 John Wiley & Sons, Inc. Biotechnol Bioeng (Comb Chem) 61:179–187, 1998/1999.