Responses of Azospirillum brasilense to Nitrogen Deficiency and to Wheat Lectin: A Diffuse Reflectance Infrared Fourier Transform (DRIFT) Spectroscopic Study

For the rhizobacterium Azospirillum brasilense, the optimal nutritional range of C:N ratios corresponds to the presence of malate (ca. 3 to 5 g l⁻¹ of its sodium salt) and ammonium (ca. 0.5 to 3 g l⁻¹ of NH₄Cl) as preferred carbon and nitrogen sources, respectively. This microaerophilic aerotactic bacterium is known to have a narrow optimal oxygen concentration range of ca. 3 to 5 μM, which is 1.2% to 2% of oxygen solubility in air-saturated water under normal conditions. In this work, the effects of stress conditions (bound-nitrogen deficiency related to a high C:N ratio in the medium; excess of oxygen) on aerobically grown A. brasilense Sp245, a native wheat-associated endophyte, were investigated in the absence and presence of wheat germ agglutinin (WGA, plant stress protein and a molecular host-plant signal for the bacterium) using FTIR spectroscopy of whole cells in the diffuse reflectance mode (DRIFT). The nutritional stress resulted in the appearance of prominent spectroscopic signs of poly-3-hydroxybutyrate (PHB) accumulation in the bacterial cells; in addition, splitting of the amide I band related to bacterial cellular proteins indicated some stress-induced alterations in their secondary structure components. Similar structural changes were observed in the presence of nanomolar WGA both in stressed A. brasilense cells and under normal nutritional conditions. Comparative analysis of the data obtained and the relevant literature data indicated that the stress conditions applied (which resulted in the accumulation of PHB involved in stress tolerance) and/or the presence of nanomolar concentrations of WGA induced synthesis of bacterial cell-surface (glyco)proteins rich in β-structures, that could be represented by hemagglutinin and/or porin.     

Rapid Quantification of Methamphetamine: Using Attenuated Total Reflectance Fourier Transform Infrared Spectroscopy (ATR-FTIR) and Chemometrics

In Australia and increasingly worldwide, methamphetamine is one of the most commonly seized drugs analysed by forensic chemists. The current well-established GC/MS methods used to identify and quantify methamphetamine are lengthy, expensive processes, but often rapid analysis is requested by undercover police leading to an interest in developing this new analytical technique. Ninety six illicit drug seizures containing methamphetamine (0.1%–78.6%) were analysed using Fourier Transform Infrared Spectroscopy with an Attenuated Total Reflectance attachment and Chemometrics. Two Partial Least Squares models were developed, one using the principal Infrared Spectroscopy peaks of methamphetamine and the other a Hierarchical Partial Least Squares model. Both of these models were refined to choose the variables that were most closely associated with the methamphetamine % vector. Both of the models were excellent, with the principal peaks in the Partial Least Squares model having Root Mean Square Error of Prediction 3.8, R² 0.9779 and lower limit of quantification 7% methamphetamine. The Hierarchical Partial Least Squares model had lower limit of quantification 0.3% methamphetamine, Root Mean Square Error of Prediction 5.2 and R² 0.9637. Such models offer rapid and effective methods for screening illicit drug samples to determine the percentage of methamphetamine they contain.     

Fourier Transform Infrared Emission Spectroscopy in the Study of Biological Molecules

Biophysics - Abstract—Infrared spectroscopy is a powerful analytical method that is not completely developed in relation to biological systems as yet. Previously, this method has been...     

胆石中胆红素钙的FTIR定量分析

 应用付立叶变换红外光谱(FT-IR)测定胆石中胆红素钙的含量,使用KBr压片法,吸收度是由积分法表示。胆红素钙在1622.3cm~(-1),1253.1cm~(-1)等处有特征吸收峰,在FT-IR减谱分析的基础上,选定1253.1cm~(-1)为定量吸收峰,它符合Beer-Lambert’s定律(r=0.998)而且共存物干扰小。标准工作曲线是使用胆红素为标准。胆石样品中胆红素钙含量用此法测定,其结果与化学法结果相似。应用FT-IR对混合物定量分析简单、迅速、准确。     

Exploring the Use of Near Infrared (NIR) Reflectance Spectroscopy to Predict Starch Pasting Properties in Whole Grain Barley

This study aimed to evaluate the ability of using near infrared reflectance (NIR) spectroscopy to predict parameters generated by the rapid visco analyser (RVA) in whole grain barley samples to further study starch pasting characteristics in a breeding program. A total of 130 whole grain barley samples from the University of Adelaide germplasm collection, harvested over three seasons (2009, 2010 and 2011) were analysed using both NIR and RVA instruments and calibrations developed using partial least squares (PLS) regression. The coefficient of determination in cross validation (R ²) and the standard error in cross validation (SECV) were 0.88 [SECV?=?477.5 (RVU?=?rapid visco units)] for peak viscosity (PV), 0.82 (SECV?=?635.5 RVU) for trough (THR), 0.92 (SECV?=?190.4 RVU) for breakdown (BKD), 0.61 (SECV?=?151.1 RVU) for setback (SET), 0.84 (SECV?=?698.0 RVU) for final viscosity (FV), 0.70 (SECV?=?0.54 s) for time to peak (TTP) and 0.36 (SECV?=?2.2 min) for pasting temperature (PT). We have demonstrated that NIR spectroscopy shows promise as a rapid, non-destructive method to measure PV in whole grain barley. In this context, NIR spectroscopy has the potential to significantly reduce analytical time and cost for screening novel lines for starch properties for pasting properties.     

Fourier Transform Infrared with Attenuated Total Reflectance Applied to the Discrimination of Freshwater Planktonic Coccoid Green Microalgae

Despite the recent advances on fine taxonomic discrimination in microorganisms, namely using molecular biology tools, some groups remain particularly problematic. Fine taxonomy of green algae, a widely distributed group in freshwater ecosystems, remains a challenge, especially for coccoid forms. In this paper, we propose the use of the Fourier Transform Infrared (FTIR) spectroscopy as part of a polyphasic approach to identify and classify coccoid green microalgae (mainly order Sphaeropleales), using triplicated axenic cultures. The attenuated total reflectance (ATR) technique was tested to reproducibility of IR spectra of the biological material, a primary requirement to achieve good discrimination of microalgal strains. Spectral window selection was also tested, in conjunction with the first derivative treatment of spectra, to determine which regions of the spectrum provided better separation and clustering of strains. The non-metric multidimensional scaling (NMDS), analysis of similarities (ANOSIM) and hierarchical clusters (HCA), demonstrated a correct discrimination and classification of closely related strains of chlorophycean coccoid microalgae, with respect to currently accepted classifications. FTIR-ATR was highly reproducible, and provided an excellent discrimination at the strain level. The best separation was achieved by analyzing the spectral windows of 1500–1200 cm⁻¹ and 900–675 cm⁻¹, which differs from those used in previously studies for the discrimination of broad algal groups, and excluding spectral regions related to storage compounds, which were found to give poor discrimination. Furthermore, hierarchical cluster analyses have positioned the strains tested into clades correctly, reproducing their taxonomic orders and families. This study demonstrates that FTIR-ATR has great potential to complement classical approaches for fine taxonomy of coccoid green microalgae, though a careful spectrum region selection is needed.     

Fourier Transform Infrared Reflection Absorption Spectroscopy (FT-IRAS) of fibrinogen adsorbed on metal and metal oxide surfaces

We have investigated the possibilities of using Infrared Reflection Absorption Spectroscopy in the study of the interaction of proteins with metal surfaces. Structural information can be obtained since the infrared radiation at the metal surface interacts only with dipole transition moments perpendicular to the metal surface. Fibrinogen spontaneously adsorbed from solution onto gold, titanium and aluminum was used as model systems. The infrared studies were carried out on dried protein films. The amide I bands of fibrinogen adsorbed on the metal surfaces shift towards higher frequencies (ca. 20 cm-1) relative to the same band in buffer solution. The magnitude of these shifts indicates that conformational change of the protein occurs upon adsorption on metal surfaces. The change in conformation of the fibrinogen also can partly be due to one week of drying at room temperature. The amide I and amide II bands show a slightly different behaviour in terms of frequency and intensity for each metal-protein system studied. The side chains appeared to be more substrate sensitive than the peptide group. Orientational effects were observed for a number of side-chain related groups.     

Gypsophile Chemistry Unveiled: Fourier Transform Infrared (FTIR) Spectroscopy Provides New Insight into Plant Adaptations to Gypsum Soils

Gypsum soils are among the most restrictive and widespread substrates for plant life. Plants living on gypsum are classified as gypsophiles (exclusive to gypsum) and gypsovags (non-exclusive to gypsum). The former have been separated into wide and narrow gypsophiles, each with a putative different ecological strategy. Mechanisms displayed by gypsum plants to compete and survive on gypsum are still not fully understood. The aim of this study was to compare the main chemical groups in the leaves of plants with different specificity to gypsum soils and to explore the ability of Fourier transform infrared (FTIR) spectra analyzed with neural network (NN) modelling to discriminate groups of gypsum plants. Leaf samples of 14 species with different specificity to gypsum soils were analysed with FTIR spectroscopy coupled to neural network (NN) modelling. Spectral data were further related to the N, C, S, P, K, Na, Ca, Mg and ash concentrations of samples. The FTIR spectra of the three groups analyzed showed distinct features that enabled their discrimination through NN models. Wide gypsophiles stood out for the strong presence of inorganic compounds in their leaves, particularly gypsum and, in some species, also calcium oxalate crystals. The spectra of gypsovags had less inorganic chemical species, while those of narrow gypsum endemisms had low inorganics but shared with wide gypsophiles the presence of oxalate. Gypsum and calcium oxalate crystals seem to be widespread amongst gypsum specialist plants, possibly as a way to tolerate excess Ca and sulphate. However, other mechanisms such as the accumulation of sulphates in organic molecules are also compatible with plant specialization to gypsum. While gypsovags seem to be stress tolerant plants that tightly regulate the uptake of S and Ca, the ability of narrow gypsum endemisms to accumulate excess Ca as oxalate may indicate their incipient specialization to gypsum.     

Identification of Yersinia enterocolitica at the Species and Subspecies Levels by Fourier Transform Infrared Spectroscopy

Yersinia enterocolitica and other Yersinia species, such as Y. pseudotuberculosis, Y. bercovieri, and Y. intermedia, were differentiated using Fourier transform infrared spectroscopy (FT-IR) combined with artificial neural network analysis. A set of well defined Yersinia strains from Switzerland and Germany was used to create a method for FT-IR-based differentiation of Yersinia isolates at the species level. The isolates of Y. enterocolitica were also differentiated by FT-IR into the main biotypes (biotypes 1A, 2, and 4) and serotypes (serotypes O:3, O:5, O:9, and “non-O:3, O:5, and O:9”). For external validation of the constructed methods, independently obtained isolates of different Yersinia species were used. A total of 79.9% of Y. enterocolitica sensu stricto isolates were identified correctly at the species level. The FT-IR analysis allowed the separation of all Y. bercovieri, Y. intermedia, and Y. rohdei strains from Y. enterocolitica, which could not be differentiated by the API 20E test system. The probability for correct biotype identification of Y. enterocolitica isolates was 98.3% (41 externally validated strains). For correct serotype identification, the probability was 92.5% (42 externally validated strains). In addition, the presence or absence of the ail gene, one of the main pathogenicity markers, was demonstrated using FT-IR. The probability for correct identification of isolates concerning the ail gene was 98.5% (51 externally validated strains). This indicates that it is possible to obtain information about genus, species, and in the case of Y. enterocolitica also subspecies type with a single measurement. Furthermore, this is the first example of the identification of specific pathogenicity using FT-IR.The genus Yersinia belongs to the bacterial family Enterobacteriaceae and encompasses three well-known human pathogens: Y. pestis, Y. pseudotuberculosis, and Y. enterocolitica. Pathogenic strains of Y. enterocolitica cause yersiniosis, an acute enteric disease. In Germany and Switzerland, strains of Y. enterocolitica belong to the most frequently isolated pathogens connected with bacterial gastroenteritis (27, 31). Y. enterocolitica also causes other clinical syndromes, such as enterocolitis, acute mesenteric lymphadenitis, mimicking appendicitis, postinfectious arthritis, and systemic infections (7, 21). It is assumed that the main contamination source is food of animal origin, especially pork meat or raw milk (8, 21, 27). Therefore, the focus of diagnosis for these bacteria as food-borne pathogens includes the examination of food samples in food inspection and veterinary controls of livestock.The species Y. enterocolitica sensu lato as described by Frederiksen (9) was recently subdivided into several species: Y. enterocolitica sensu stricto, Y. intermedia, Y. frederiksenii, Y. kristensenii, Y. aldovae, Y. mollaretii, Y. rohdei, and Y. bercovieri (20). The identification of Y. enterocolitica sensu stricto by traditional agar plate techniques (ISO standard 10273:2003) is complicated by the fact that on the commonly used selective agar plates, especially the cefsulodin-irgasan-novobiocin (CIN) agar, several unrelated bacteria also grow (1, 20). In addition, some Yersinia strains are inhibited by CIN agar (10). The differentiation of putative Yersinia strains isolated from the CIN agar is additionally impeded because the commonly used commercial identification systems (for example, API 20E or API Rapid 32IDE) do not include all Yersinia strains in their databases and usually misidentify them as Y. enterocolitica (12). Nevertheless, the biochemical test system API 20E is still used as an affordable tool for the identification of Y. enterocolitica. This probably results in a constant misidentification of certain Yersinia species, particularly Y. bercovieri, Y. rohdei, and Y. intermedia, as Y. enterocolitica (1, 12, 15).Y. enterocolitica sensu stricto comprises pathogenic and nonpathogenic members. The species can be grouped into various biotypes by biochemical tests and independently into different serotypes by immunological tests. Both types are connected with different pathogenic potential. The most common biotype-serotype combinations associated with human diseases were biotype 1B/serotype O:8, 2/O:5,27, 2/O:9, 3/O:3, and 4/O:3 (7). Biotype 1A is deemed to be non- or less pathogenic for humans. Biotype 1B is widespread in the United States and only rarely detected in Europe and Japan (11, 14, 26, 28). Based on different DNA-DNA hybridization values and 16S rRNA gene sequences, it was proposed to name the “American” strains Y. enterocolitica subsp. enterocolitica (19). Biotypes 2 and 4 are often isolated from yersiniosis patients, and biotype 3 seems to be pathogenic but rare (6, 21).Pathogenic strains of Y. enterocolitica harbor certain virulence factors, such as the plasmid-encoded yadA gene and the chromosomally encoded ail gene (17, 32). In contrast, apathogenic strains of Y. enterocolitica do not contain these two genes. However, the plasmid harboring the yadA gene can be lost under certain cultivation conditions in the laboratory (4). This may lead to false-negative results in any test system based on the presence of this plasmid. Therefore, the ail gene appears to be the best-suited marker for the detection of pathogenic Y. enterocolitica strains. The product of the ail gene is an adhesion and invasion factor (17). Therefore, the detection of the ail gene by PCR is used as an indication of the presence of pathogenic strains of Y. enterocolitica in selective enrichments or isolated pure cultures (33).Recently, Fourier transform infrared spectroscopy (FT-IR) has been established as a new method for identification of bacteria, yeasts, and other microorganisms (3, 16, 22, 24, 38). This method analyzes the total composition of all components of the cell using infrared spectroscopy (13, 18). The FT-IR method is rapid and reliable and therefore can be easily adapted to routine analysis. Furthermore, there accrue almost no costs for consumables during sample preparation and measurements. The technique offers a wide range of applications for differentiation at the species and subspecies levels. It has already been used for the differentiation of several food-borne pathogens, like Listeria monocytogenes (25), Escherichia coli (13), and Bacillus cereus (23, 29). Recently, promising results were obtained by combination of FT-IR and multivariate methods for data processing, in particular artificial neural networks (ANN) (25, 35).In the present work, FT-IR combined with ANN analysis was applied for classification of Yersinia strains at the species level and of Y. enterocolitica at the subspecies level. Furthermore, differentiation between pathogenic and apathogenic strains of Y. enterocolitica by FT-IR was attempted.     

傅里叶变换红外光谱(FTIR)技术对滇龙胆组织培养的研究

野生药用植物资源的不断减少,使得寻找其原植物的合适替代品显得尤为重要。利用组培材料代替野生药用植物作为药源已取得重大进展,但利用傅里叶变换红外光谱(Fourier transform infrared spectroscopy,FTIR)技术筛选合适的组培材料作为野生药用植物替代资源方面的应用鲜有报道。本研究采用FTIR结合偏最小二乘判别分析(partial least squares discriminant analysis,PLS-DA)对滇龙胆组织培养形成的愈伤组织(肉质部、茎、叶)、增殖苗(肉质部、茎、叶)、生根苗(根、茎、叶)进行比较。结果显示:(1)从原始FTIR光谱图上看,滇龙胆肉质部和根部峰形相似,茎和叶峰形相似;(2)二阶导数光谱图扩大了样品间的差异。在龙胆苦苷的主要吸收峰1612 cm-1附近,吸收峰强度依次为:生根苗叶增殖苗叶和生根苗茎增殖苗茎愈伤组织叶,愈伤组织茎及肉质部、增殖苗肉质部和生根苗根部在该处无吸收峰;(3)PLS-DA得分图表明,同一组培阶段相同组织部位样品聚集在一起,而愈伤组织、增殖苗、生根苗及其各组织部位能够较好的分开。其中:肉质部、根部与茎叶之间距离较远,表明其化学成分和含量可能差异较大;肉质部和根部样品间距离较近,茎和叶样品间距离也较近。二阶导数光谱图显示,组培材料有望代替其原植物满足药用需求;若以龙胆苦苷含量为评价对象,生根苗叶则可能具有更大的开发潜能,有望代替野生滇龙胆以缓解其资源稀缺局面。本研究结果表明,采用傅里叶变换红外光谱法可以简便有效地对药用植物不同组培阶段不同组织部位的替代潜力及开发利用进行初步评估。     

人血清中胆固醇近红外光谱快速检测初步研究

以全自动生化分析仪测定结果为参考值,采用傅利叶变换近红外透射光谱技术,结合偏最小二乘法,建立人血清中胆固醇和甘油三酯的定标模型。利用内部交叉验证和自动优化功能对预测模型进行了优化,确定了最优建模参数。模型对人血清中胆固醇和甘油三酯定标样品集的预测值与参考值的相关系数r分别为0．9011、0．9593,预测校正标准误RMSECV分别为15．0mg／dL,21．6mg／dL。表明利用近红外光谱分析技术实现血清中胆固醇和甘油三酯快速检测是可行的。     

Application of Fourier Transform Infrared Spectroscopy and Chemometrics for Differentiation of Salmonella enterica Serovar Enteritidis Phage Types

Fourier transform infrared (FT-IR) spectroscopy and chemometric techniques were used to discriminate five closely related Salmonella enterica serotype Enteritidis phage types, phage type 1 (PT1), PT1b, PT4b, PT6, and PT6a. Intact cells and outer membrane protein (OMP) extracts from bacterial cell membranes were subjected to FT-IR analysis in transmittance mode. Spectra were collected over a wavenumber range from 4,000 to 600 cm⁻¹. Partial least-squares discriminant analysis (PLS-DA) was used to develop calibration models based on preprocessed FT-IR spectra. The analysis based on OMP extracts provided greater separation between the Salmonella Enteritidis PT1-PT1b, PT4b, and PT6-PT6a groups than the intact cell analysis. When these three phage type groups were considered, the method based on OMP extract FT-IR spectra was 100% accurate. Moreover, complementary local models that considered only the PT1-PT1b and PT6-PT6a groups were developed, and the level of discrimination increased. PT1 and PT1b isolates were differentiated successfully with the local model using the entire OMP extract spectrum (98.3% correct predictions), whereas the accuracy of discrimination between PT6 and PT6a isolates was 86.0%. Isolates belonging to different phage types (PT19, PT20, and PT21) were used with the model to test its robustness. For the first time it was demonstrated that FT-IR analysis of OMP extracts can be used for construction of robust models that allow fast and accurate discrimination of different Salmonella Enteritidis phage types.Over the past 10 years there has been an increase in the incidence of gastrointestinal infections caused by Salmonella enterica serovar Enteritidis, which is now one of the leading S. enterica serotypes worldwide (21, 27). Poultry, poultry products, cattle, and dairy products are the predominant sources of Salmonella-contaminated food products that cause human salmonellosis (28). Large-scale infections continue to occur in developed countries (8). Unrestricted international movement of commercially prepared food and food ingredients and dissimilarities in government and industry food safety controls during the processing, distribution, and marketing of products have surely contributed to the increase in food-borne outbreaks. Salmonella is a tremendous challenge for the agricultural and food processing industries because of its ability to survive under adverse conditions, such as low levels of nutrients and suboptimal temperatures (4, 13).Salmonella Enteritidis isolates can be categorized for epidemiological purposes by using a variety of typing tools (13). These tools include typing techniques such as serological and phage typing (29) and antibiotic resistance patterns (25). These methods are now supplemented by molecular genetics techniques, such as DNA fingerprinting (23), plasmid profiling (16), and pulsed-field gel electrophoresis (26). Phage typing has been used to diagnose Salmonella outbreaks, including S. enterica serovar Typhi and S. enterica serovar Typhimurium outbreaks (29). It is useful to evaluate whether isolates obtained from different sources at different times are similar or distinct in terms of their reactions with a specific collection of bacteriophages used for typing. The correlation between phage type and the source of an epidemic is high (22). Although very effective, existing classification methods are time-consuming, laborious, and expensive, and they often require special training of personnel and expertise, which can prevent a rapid response to the presence of pathogenic bacterial species.Fourier transform infrared (FT-IR) spectroscopy has been successfully used for differentiation and classification of microorganisms at the species and subspecies levels (7, 9, 12, 15, 18, 19, 20). This technique has been shown to have high discriminatory power and allows identification of bacteria at distinct taxonomic levels based on differences in the infrared absorption patterns of microbial cells. FT-IR spectroscopy has been used to differentiate and characterize intact microbial cells based on outer membrane cell components, including lipopolysaccharides (LPS), lipoproteins, and phospholipids (24). Several studies in which S. enterica serotypes have been discriminated using multivariate data analysis and FT-IR spectroscopy have been performed (1, 2, 10, 11). Kim et al. (11) compared the FT-IR spectra of intact cells and the FT-IR spectra of outer membrane protein (OMP) extracts from S. enterica serotypes to discriminate serotypes. Analysis of spectra of OMP extracts in the 1,800- to 1,500-cm⁻¹ region resulted in 100% correct classification of the serotypes investigated.Previously, there have been no reports of differentiation of Salmonella Enteritidis phage types by FT-IR spectroscopy and chemometric methods. To discriminate closely related phage types of Salmonella Enteritidis in this study, intact cells and OMP extracts of bacterial cell membranes were subjected to FT-IR analysis. The isolates analyzed included isolates belonging to five of the phage types of Salmonella Enteritidis found most frequently in Portuguese hospitals in the period from 2004 to 2006, phage type 1 (PT1), PT1b, PT4b, PT6, and PT6a (5, 14). Chemometric models were used to discriminate between phage types based on infrared spectra.     

Characterisation of Authentic Lignin Biorefinery Samples by Fourier Transform Infrared Spectroscopy and Determination of the Chemical Formula for Lignin

Efficient methods for lignin characterisation are increasingly important as the field of lignin valorisation is growing with the increasing use of lignocellulosic feedstocks, such as wheat straw and corn stover, in biorefineries. In this study, we characterised a set of authentic lignin biorefinery samples in situ with no prior purification and minimal sample preparation. Lignin chemical formulas and lignin Fourier transform infrared (FTIR) spectra were extracted from mixed spectra by filtering out signals from residual carbohydrates and minerals. From estimations of C, H and O and adjustment for cellulose and hemicelluloses contents, the average chemical formula of lignin was found to be C₉H_10.2O_3.4 with slight variations depending on the biomass feedstock and processing conditions (between C₉H_9.5O_2.8 and C₉H_11.1O_3.6). Extracted FTIR lignin spectra showed many of the same characteristic peaks as organosolv and kraft lignin used as benchmark samples. Some variations in the lignin spectra of biorefinery lignin residue samples were found depending on biomass feedstock (wheat straw, corn stover or poplar) and on pretreatment severity, especially in the absorbance of bands at 1267 and 1032 cm^?1 relative to the strong band at ~1120 cm^?1. The suggested method of FTIR spectral analysis with adjustment for cellulose and hemicellulose is proposed to provide a fast and efficient way of analysing lignin in genuine lignin samples resulting from biorefineries.     

Molecular View by Fourier Transform Infrared Spectroscopy of the Relationship between Lactocin 705 and Membranes: Speculations on Antimicrobial Mechanism

Lactocin 705 is a bacteriocin whose activity depends upon the complementation of two peptides, termed Lac705α and Lac705β. Neither Lac705α nor Lac705β displayed bacteriocin activity by itself when the growth of sensitive cells was monitored. To obtain molecular insights into the lactocin 705 mechanism of action, Fourier transform infrared spectroscopy was used to investigate the interactions of each peptide (Lac705α and Lac705β) with dipalmitoylphosphatidylcholine liposomal membranes. Both peptides show the ability to interact with the zwitterionic membrane but at different bilayer levels. While Lac705α interacts with the interfacial region inducing dehydration, Lac705β peptide interacts with only the hydrophobic core. This paper presents the first experimental evidence that supports the hypothesis that Lac705α and Lac705β peptides could form a transmembrane oligomer. From the obtained results, a mechanism of action of lactocin 705 on membrane systems is proposed. The component Lac705α could induce the dehydration of the bilayer interfacial region, and the Lac705β peptide could insert in the hydrophobic region of the membrane where the peptide has adequate conditions to achieve the oligomerization.     

High-definition Fourier Transform Infrared (FT-IR) Spectroscopic Imaging of Human Tissue Sections towards Improving Pathology

High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging is an emerging approach to obtain detailed images that have associated biochemical information. FT-IR imaging of tissue is based on the principle that different regions of the mid-infrared are absorbed by different chemical bonds (e.g., C=O, C-H, N-H) within cells or tissue that can then be related to the presence and composition of biomolecules (e.g., lipids, DNA, glycogen, protein, collagen). In an FT-IR image, every pixel within the image comprises an entire Infrared (IR) spectrum that can give information on the biochemical status of the cells that can then be exploited for cell-type or disease-type classification. In this paper, we show: how to obtain IR images from human tissues using an FT-IR system, how to modify existing instrumentation to allow for high-definition imaging capabilities, and how to visualize FT-IR images. We then present some applications of FT-IR for pathology using the liver and kidney as examples. FT-IR imaging holds exciting applications in providing a novel route to obtain biochemical information from cells and tissue in an entirely label-free non-perturbing route towards giving new insight into biomolecular changes as part of disease processes. Additionally, this biochemical information can potentially allow for objective and automated analysis of certain aspects of disease diagnosis.     

Flexibility of DNA and RNA upon Binding to Different Metal Cations. An Investigation of the B to A to Z Conformational Transition by Fourier Transform Infrared Spectroscopy

Abstract

The interaction of DNA and RNA with Cu(II), Mg(II), [Co(NH₃)₆]³⁺ [Co(NH₃)₅Cl]²⁺ chlorides and, cis- and trans-Pt(NH₃)₂Cl₂ (CIS-DDP, trans-DDP) has been studied by Fourier Transform Infrared (FT-IR) spectroscopy and a correlation between metal-base binding and conformational transitions in the sugar pucker has been established. It has been found that RNA did not change from A-form on complexation with metals, whereas DNA exhibited a B to Z transition. The marker bands for the A-form (C′₃-endo-anti conformation) were found to be near 810–816 cm^?1, while the bands at 825 and 690 cm^?1 are marker bands for the B- conformation (C′₂-endo, anti), The B to Z (C₃′-endo, syn conformation) transition is characterized by the shift of the band at 825 cm^?1 to 810–816 cm^?1 and the shift of the guanine band at 690 cm^?1 to about 600–624 cm^?1.     

An investigation into the internal and external variables acting on crystallinity index using Fourier Transform Infrared Spectroscopy on unaltered and burned bone

The Crystallinity Index is a measure of structural order in bone and is potentially an extremely useful tool in bioarchaeology since it can assist in sequencing bones into chronological and/or stratigraphic order, act as an indicator for preservation, and assist in reconstructing burning events. Unfortunately, concerns over influencing variables and bone sampling issues inhibit full and wide-spread adoption of this approach. An attempt has been made to determine the influence of a number of internal and external variables on bone crystallinity changes. CI, C/P and C/C were calculated using Fourier Transform Infrared Spectroscopy – Attenuated Total Reflectance (FTIR-ATR) on modern burned and unburned faunal bone. Samples were taken systematically across bone elements and on the internal and external surfaces. The CI results support previous work and show increases with burning intensity. It is also shown that extrinsic variables (such as temperature and duration of burning) have more of a significant influence on CI values than intrinsic variables (such as location of sample site on the bone). A sampling strategy is suggested for those wishing to use the CI on bone in archaeological contexts.