In recent years, the role of metabolomics has become increasingly more important in the advancement of many research fields including medical studies. Due to lack of metabolomics research in the area of infectious disease and the rise in antibiotic resistance, there is a need for further studies on the modes of antibiotic action and the mechanisms of resistance of pathogenic microorganisms at the metabolome level. This study aimed to investigate effects of DNA synthesis inhibitors on the metabolome of E. coli and to develop a workflow for discrimination between E. coli isolates down to the sub-species level using a variety of methods, which can inform the choice of analytical techniques in metabolomics research. A metabolomics-based approach was used to elucidate metabolic alterations in E. coli K-12 upon challenge with trimethoprim at two pH levels (5 and 7) which mimic human urine acidity. FT-IR spectroscopy was used as a preliminary experiment to produce bacterial fingerprints and GC-MS was applied to generate global metabolic profiles in each condition. At pH 7, as the drug molecules exhibited higher permeability, stronger direct effects of the antibiotic were observed, i.e. decreased levels of nucleotides. Trehalose, an osmoprotectant, was up-regulated in these stress conditions and this up-regulation was mirrored by a decrease in glucose levels. This also correlated with up-regulation of pyruvate-related products (e.g. alanine, citrate and malate). Other off-target related effects were observed such as alterations in the levels of various amino acids upon trimethoprim challenge. This study offered a wider view of drug action at pH levels similar to healthy human urine. A high throughput FT-IR spectroscopy method was developed to discriminate between pathogenic E. coli isolates based on sequence type. This method employed a Bioscreen as a micro-culture incubator instead of traditional sample preparation (shaking flasks), which can be labour intensive and time consuming. Excluding the washing step in the protocol enabled discrimination between isolates of different sequence types. Moreover, a reproducible workflow of lipid analysis based on LC-MS was developed and applied on four pathogenic isolates with different sequence type and susceptibility to ciprofloxacin. This workflow enabled detection of a wide range of lipid classes and determination of significant alterations in lipid levels related to susceptibility to ciprofloxacin. Stressed and control isolates were also analysed using the developed Bioscreen FT-IR approach to assess phenotypic fingerprint differences, which were in line with the LC-MS-ve class distribution. Further investigation by means of four analytical platforms (FT-IR, GC-MS, LC-MS-ve and LC-MS+ve) was applied on E. coli ST131 isolates characterised using classical microbiological tests (virulence factors and metabolic tests). Procrustes transformation was used to compare between the analytical methods and the microbiological tests in terms of their capacity to discriminate between the different isolates. As indicated above, the results from FT-IR and LC-MS-ve were comparable and in line with virulence tests, while GC-MS and metabolic tests were in agreement. Complementary information generated by different analytical techniques and microbiological tests may indicate the requirement for careful selection of the method of investigation and may suggest the need to continue using a combination of methods which are applied to study different features of bacterial physiology.

Milk is an important nutritious component of our diet consumed by most humans on a daily basis. Microbiological spoilage affects its safe use and consumption, its organoleptic properties and is a major part of its quality control process. European Union legislation and the Hazard Analysis and the Critical Control Point (HACCP) system in the dairy industry are therefore in place to maintain both the safety and the quality of milk production in the dairy industry. A main limitation of currently used methods of milk spoilage detection in the dairy industry is the time-consuming and sometimes laborious turnover of results. Attenuated total reflectance (ATR) and high throughput (HT) Fourier transform infrared (FTIR) spectroscopy metabolic fingerprinting techniques were investigated for their speed and accuracy in the enumeration of viable bacteria in fresh pasteurized cows' milk. Data analysis was performed using principal component-discriminant function analysis (PC-DFA) and partial least squares (PLS) multivariate statistical techniques. Accurate viable microbial loads were rapidly obtained after minimal sample preparation, especially when FTIR was combined with PLS, making it a promising technique for routine use by the dairy industry. FTIR and Raman spectroscopies in combination with multivariate techniques were also explored as rapid detection and enumeration techniques of S. aureus, a common milk pathogen, and Lactococcus lactis subsp cremoris, a common lactic acid bacterium (LAB) and potential antagonist of S. aureus, in ultra-heat treatment milk. In addition, the potential growth interaction between the two organisms was investigated. FTIR spectroscopy in combination with PLS and kernel PLS (KPLS) appeared to have the greatest potential with good discrimination and enumeration attributes for the two bacterial species even when in co-culture without previous separation. Furthermore, it was shown that the metabolic effect of L. cremoris predominates when in co-culture with S. aureus in milk but with minimal converse growth interaction between the two microorganisms and therefore potential implications in the manufacture of dairy products using LAB. The widespread and high consumption of milk make it a target for potential financial gain through adulteration with cheaper products reducing quality, breaking labeling and patent laws and potentially leading to dire health consequences. The time consuming and laborious nature of currently used analytical techniques in milk authentication enabled the study of FTIR spectroscopy and matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-ToF-MS) as rapid analytical techniques in quantification of milk adulteration, using binary and tertiary fresh whole cows', goats' and sheep's milk mixture samples. Chemometric data analysis was performed using PLS and KPLS multivariate analyses. Overall, results indicated that both techniques have excellent enumeration and detection attributes for use in milk adulteration with good prospects for potential use in the dairy industry.

Protein based biopharmaceuticals are becoming increasingly popular therapeutic agents. Recent changes to the legislation governing stem cell technologies will allow many further developments in this field. Characterisation of these therapeutic proteins poses numerous analytical challenges. In this work we address several of the key characterisation problems; detecting glycosylation, monitoring conformational changes, and identifying contamination, using vibrational spectroscopy. Raman and infrared spectroscopies are ideal techniques for the in situ monitoring of bioprocesses as they are non-destructive, inexpensive, rapid and quantitative. We unequivocally demonstrate that Raman spectroscopy is capable of detecting glycosylation in three independent systems; ribonuclease (a model system), transferrin (a recombinant biopharmaceutical product), and GFP (a synthetically glycosylated system). Raman data, coupled with multivariate analysis, have allowed the discrimination of a glycoprotein and the equivalent protein, deglycosylated forms of the glycoprotein, and also different glycoforms of a glycoprotein. Further to this, through the use of PLSR, we have achieved quantification of glycosylation in a mixture of protein and glycoprotein. We have shown that the vibrational modes which are discriminatory in the monitoring of glycosylation are relatively consistent over the three systems investigated and that these bands always include vibrations assigned to structural changes in the protein, and sugar vibrations that are arising from the glycan component. The sensitivity of Raman bands arising from vibrations of the protein backbone to changes in conformation is evident throughout the work presented in this thesis. We used these vibrations, specifically in the amide I region, to monitor chemically induced protein unfolding. By comparing these results to fluorescence spectroscopy and other regions of the Raman spectrum we have shown that this new method provides improved sensitivity to small structural changes. Finally, FT-IR spectroscopy, in tandem with supervised machine learning methods, has been applied to the detection of protein based contaminants in biopharmaceutical products. We present a high throughput vibrational spectroscopic method which, when combined with appropriate chemometric modelling, is able to reliably classify pure proteins and proteins ‘spiked’ with a protein contaminant, in some cases at contaminant concentrations as low as 0.25%.

No description available.

No description available.

No description available.

No / Cocrystal monohydrate of nitrofurantoin (NF) with melamine (MELA) has been studied as NF is an antibacterial drug used for the treatment of urinary tract infections. The structure of nitrofurantoin-melamine-monohydrate (NF-MELA-H2O) is characterized by FT-IR and FT-Raman spectroscopy. The energies and vibrational frequencies of the optimized structures calculated using quantum chemical calculations. Supported by normal coordinate analyses and potential energy distributions (PEDs), the complete vibrational assignments recommended for the observed fundamentals of cocrystal hydrate. With the aim of inclusion of all the H-bond interactions, dimer of NF-MELA-H2O has been studied as only two molecules of cocrystal hydrate are present in the unit cell. By the study of dimeric model consistent assignment of the FT-IR and FT-Raman spectrum obtained. H-bonds are of essential importance in an extensive range of molecular sciences. The vibrational analyses depict existence of H-bonding (O-H⋯N) between water O-H and pyridyl N atom of MELA in both monomer and dimer. To probe the strength and nature of H-bonding in monomer and dimer, topological parameters such as electron density (ρBCP), Laplacian of electron density (∇2ρBCP), total electron energy density (HBCP) and H-bond energy (EHB) at bond critical points (BCP) are evaluated by quantum theory of atoms in molecules (QTAIM). Natural bond orbitals (NBOs) analyses are carried out to study especially the intra and intermolecular H-bonding and their second order stabilization energy (E(2)). The value of HOMO-LUMO energy band gap for NF-MELA-H2O (monomer and dimer both) is less than NF, showing more chemical reactivity for NF-MELA-H2O. Chemical reactivity has been described with the assistance of electronic descriptors. Global electrophilicity index (ω = 7.3992 eV) shows that NF-MELA-H2O behaves as a strong electrophile than NF. The local reactivity descriptors analyses such as Fukui functions, local softnesses and electrophilicity indices performed to determine the reactive sites within NF-MELA-H2O. In MEP map of NF-MELA (monomer and dimer) electronegative regions are about NO2 and C=O group of NF, although the electropositive regions are around NH2, N-H group and H2O molecule. Molar refractivity (MR) value of NF-MELA-H2O (monomer and dimer) lies within the range set by Lipinski's modified rules. This study could set as an example to study the H-bond interactions in pharmaceutical cocrystals.

Estudos têm demonstrado o potencial da terapia fotodinâmica antimicrobiana (aPDT) na inativação de diferentes células microbianas. No geral, são três as fases de crescimento dos microrganismos: fase lag, exponencial e estacionária. Os objetivos deste estudo foram avaliar a susceptibilidade de células de Candida albicans em diferentes fases de crescimento, submetidas à aPDT, associando azul de metileno (50 μM) e luz de emissão vermelha (λ= 660 nm) e investigar alterações morfológicas, mecânicas e bioquímicas, antes e depois da aPDT, por microscopia eletrônica de varredura, de força atômica e por espectroscopia no infravermelho por transformada de Fourier. Os resultados obtidos sugerem que, em parâmetros letais, células em fase estacionária de crescimento (48 h) são menos susceptíveis à aPDT, quando comparadas àquelas em fases lag (6 h) e ex-ponencial (24 h) de crescimento. Entretanto, em parâmetros subletais, células de 6 h e 48 h mostraram a mesma susceptibilidade à aPDT. Em sequência, os experimentos foram realizados em parâmetros considerados subletais para células crescidas por 6 e 48 h. A avaliação morfológica mostrou menor quantidade de matriz extracelular em células de 6 h comparada àquelas de 48 h. A espectroscopia de força atômica mostrou que células em fase lag perderam a rigidez após a aPDT, enquanto que células em fase estacionária mostraram comportamento in-verso. Ainda, células de 48 h diminuíram sua adesividade após a aPDT, enquanto que células de 6 h e 24 h tornaram-se mais adesivas. Os resultados bioquímicos revelaram que as diferenças mais significativas entre as células fúngicas de 6 h e 48 h ocorreram na região de DNA e carboidratos. A aPDT promoveu mais alterações bioquímicas na região de DNA e carboidratos em células de 6 h e em lipídios e ácidos graxos em células de 48 h. Nossos resultados indicam que a fase de crescimento celular desempenha papel importante no sítio de ação da aPDT em células de C. albicans. / Studies have demonstrated the potential of antimicrobial photodynamic therapy (aPDT) on the inactivation of different microbial cells. Overall, there are three phases of cell growth: lag phase, exponential phase and stationary phase. The objectives of this study were to evaluate the susceptibility of Candida albicans in different growth stages submitted to aPDT, with methylene blue (50μM) and red light (λ = 660 nm) and to investigate morphological, mechanical and biochemical changes before and after aPDT, by scanning electron microscopy, atomic force microscopy and by Fourier transform infrared spectroscopy. The results suggested that with lethal parameters, cells in stationary phase (48 h) are less susceptible to aPDT, compared to those in lag phase (6 h) and exponential phase (24 h). However, in sub-lethal parameters 6 h and 48 h cells showed the same susceptibility to aPDT. The following results were obtained in sub-lethal parameters. The morphological evaluation showed lower amount of extra-cellular matrix at 6 h compared to cells growth for 48 h. The atomic force spectroscopy showed that cells in lag phase lost cell wall rigidity after aPDT, while cells in stationary phase showed a reverse behavior. Furthermore, 48 h cells presented a decrease in their adhesiveness after aPDT, whereas cells growth for 6 h and 24 h become more adhesive. The biochemical evaluation showed that the most significant differences among the fungal cells growth for 6 h and 48 h in DNA and carbohydrates. The aPDT caused more expressive alterations on DNA and carbohydrates in cells growth for 6 h, while cells growth for 48 h presented significant alterations on lipids and fatty acids. Our results indicate that cell growth phase play an important role on the target sites affected by aPDT in C. albicans cells.

Estudos têm demonstrado o potencial da terapia fotodinâmica antimicrobiana (aPDT) na inativação de diferentes células microbianas. No geral, são três as fases de crescimento dos microrganismos: fase lag, exponencial e estacionária. Os objetivos deste estudo foram avaliar a susceptibilidade de células de Candida albicans em diferentes fases de crescimento, submetidas à aPDT, associando azul de metileno (50 μM) e luz de emissão vermelha (λ= 660 nm) e investigar alterações morfológicas, mecânicas e bioquímicas, antes e depois da aPDT, por microscopia eletrônica de varredura, de força atômica e por espectroscopia no infravermelho por transformada de Fourier. Os resultados obtidos sugerem que, em parâmetros letais, células em fase estacionária de crescimento (48 h) são menos susceptíveis à aPDT, quando comparadas àquelas em fases lag (6 h) e ex-ponencial (24 h) de crescimento. Entretanto, em parâmetros subletais, células de 6 h e 48 h mostraram a mesma susceptibilidade à aPDT. Em sequência, os experimentos foram realizados em parâmetros considerados subletais para células crescidas por 6 e 48 h. A avaliação morfológica mostrou menor quantidade de matriz extracelular em células de 6 h comparada àquelas de 48 h. A espectroscopia de força atômica mostrou que células em fase lag perderam a rigidez após a aPDT, enquanto que células em fase estacionária mostraram comportamento in-verso. Ainda, células de 48 h diminuíram sua adesividade após a aPDT, enquanto que células de 6 h e 24 h tornaram-se mais adesivas. Os resultados bioquímicos revelaram que as diferenças mais significativas entre as células fúngicas de 6 h e 48 h ocorreram na região de DNA e carboidratos. A aPDT promoveu mais alterações bioquímicas na região de DNA e carboidratos em células de 6 h e em lipídios e ácidos graxos em células de 48 h. Nossos resultados indicam que a fase de crescimento celular desempenha papel importante no sítio de ação da aPDT em células de C. albicans. / Studies have demonstrated the potential of antimicrobial photodynamic therapy (aPDT) on the inactivation of different microbial cells. Overall, there are three phases of cell growth: lag phase, exponential phase and stationary phase. The objectives of this study were to evaluate the susceptibility of Candida albicans in different growth stages submitted to aPDT, with methylene blue (50μM) and red light (λ = 660 nm) and to investigate morphological, mechanical and biochemical changes before and after aPDT, by scanning electron microscopy, atomic force microscopy and by Fourier transform infrared spectroscopy. The results suggested that with lethal parameters, cells in stationary phase (48 h) are less susceptible to aPDT, compared to those in lag phase (6 h) and exponential phase (24 h). However, in sub-lethal parameters 6 h and 48 h cells showed the same susceptibility to aPDT. The following results were obtained in sub-lethal parameters. The morphological evaluation showed lower amount of extra-cellular matrix at 6 h compared to cells growth for 48 h. The atomic force spectroscopy showed that cells in lag phase lost cell wall rigidity after aPDT, while cells in stationary phase showed a reverse behavior. Furthermore, 48 h cells presented a decrease in their adhesiveness after aPDT, whereas cells growth for 6 h and 24 h become more adhesive. The biochemical evaluation showed that the most significant differences among the fungal cells growth for 6 h and 48 h in DNA and carbohydrates. The aPDT caused more expressive alterations on DNA and carbohydrates in cells growth for 6 h, while cells growth for 48 h presented significant alterations on lipids and fatty acids. Our results indicate that cell growth phase play an important role on the target sites affected by aPDT in C. albicans cells.

Das erste gestellte Ziel war es, die histologischen Strukturen eines Gewebedünnschnittes anhand der aufgenommenen FT-IR-Spektren sichtbar zu machen und diese mit dem konventionell gefärbten Schnitt und der autoradiographischen Aufnahme zu vergleichen. Dazu wurde ein Messsystem bestehend aus einem FT-IR-Spektrometer mit Mikroskop und einem computergesteuerten XY-Tisch aufgebaut und die notwendige Steuer- und Auswerte-Software entwickelt. Es konnte gezeigt werden, dass sich die FT-IR-Spektren mit geeigneten Auswerteverfahren zur Darstellung der histologischen Strukturen nutzen lassen. Dazu wurden zwei verschiedene Methoden eingesetzt, die PCA und die Fuzzy-Clusterung (FCM). Im zweiten Teil dieser Arbeit sollte ein Klassifikations-Algorithmus gefunden werden, mit dessen Hilfe sich Spektren von unbekannten Gewebeproben vorher definierten Modellen zuordnen lassen. Dazu wurde eine Spektren-Datenbank aus mehr als einhundert Gewebeproben angelegt. Aus dieser Datenbank wurden einige zehntausend Spektren ausgewählt und zu Modell-Datensätzen für sechs verschiedene Gewebetypen zusammengefasst. Für die Zuordnung unbekannter Spektren zu diesen Modellen wurde ein SIMCA-Klassifikations-Algorithmus entwickelt sowie ein LDA-Algorithmus eingesetzt. Für beide Methoden wurde die Klassi-fikations-Leistung anhand der Spezifität und Sensitivität bestimmt. Beide Klassifikations-Algorithmen führten zu guten Ergebnissen. Der SIMCA-Algorithmus erreichte eine Spezifität zwischen 97 % und 100 %, sowie eine Sensitivität zwischen 62 % und 78 % (bei einem Vertrauensintervall von 97,5 %). Der LDA-Algorithmus ermöglichte eine etwas bessere Sensitivität von 72 % bis 90 %, auf Kosten der Spezifität, welche zwischen 90 % und 98 % lag. Zusammenfassend kann festgestellt werden, dass sich die FT-IR-Mikrospektroskopie und die vorgestellten Auswerte-Algorithmen sehr gut zur Klassifizierung von Gewebedünnschnitten eignen.