Modified electrodes with Keggin-type polyoxotungstates

O objectivo deste trabalho é a produção de novos eléctrodos modificados com polioxotungstatos (POMs) do tipo Keggin, incluindo POMs lacunares e substituídos por metais de transição. A preparação e caracterização dos polioxotungstatos encontram-se descritas no Capítulo 2. No Capítulo 3 descreve-se a produção de eléctrodos de carbono vítreo funcionalizados com sais híbridos de tetra-n-butilamónio de vários silicotungstatos pelo método de evaporação da gota. As propriedades electroquímicas dos polioxotungstatos imobilizados foram comparadas com as das espécies solúveis correspondentes. A morfologia dos depósitos foi avaliada por microscopia óptica e por microscopia electrónica de varrimento. No capítulo 4 descreve-se a preparação de novos eléctrodos compósitos de carbono e poli(hexilmetacrilato) com fosfotungstatos. Os estudos electroquímicos revelaram que as principais características dos POMs são mantidas e que os processos de redução são controlados por difusão, dependendo da difusão dos protões da solução. O Capítulo 5 descreve a construção de filmes em multicamadas ultrafinos contendo POMs e polietilenimina, preparados pelo método de auto-montagem camada-sobre-camada em eléctrodos de carbono vítreo. Os filmes em multicamada foram caracterizados por voltametria cíclica e por microscopia electrónica de varrimento e foi usada a espectroscopia de absorção de UV-Vis em placas de quartzo para monitorar o crescimento de filme. Os resultados voltamétricos revelaram que os processos de redução dos POM são confinados à superfície. Alguns destes eléctrodos modificados revelaram propriedades electrocatalíticas relativamente à redução dos aniões nitrito, bromato e/ou iodato. A espectroscopia de impedância electroquímica também foi usada na caracterização destes filmes e os resultados revelaram que a resistência à transferência de carga aumenta com o aumento do número de bicamadas para ambas as espécies redox, indicando que a espessura do filme tem um efeito importante sobre a cinética de reacções de transferência de carga. No capítulo 6 descreve-se a síntese de filmes híbridos orgânicos/inorgânicos compostos por poli(3,4-etilenodioxitiofeno) (PEDOT) e por silicotungstatos do tipo Keggin através da polimerização electroquímica, em condições aquosas, na superfície de electrodos de carbono vítreo. A voltametria cíclica revelou que as características principais dos POMs são mantidas nos filmes. Verificou-se que estes filmes são muito estáveis, possivelmente devido a fortes interacções electrostáticas entre os POMs aniónicos e o polímero positivamente carregado. A espectroscopia de impedância electroquímica foi também utilizada e os resultados mostraram que a resistência de transferência de carga aumenta com o aumento do pH e para valores de potenciais mais elevados. O capítulo 7 apresenta as conclusões finais e possíveis trabalhos futuros.

Metabolic signature of lung cancer: a metabolomic study of human tissues and biofluids

This thesis reports the application of metabolomics to human tissues and biofluids (blood plasma and urine) to unveil the metabolic signature of primary lung cancer. In Chapter 1, a brief introduction on lung cancer epidemiology and pathogenesis, together with a review of the main metabolic dysregulations known to be associated with cancer, is presented. The metabolomics approach is also described, addressing the analytical and statistical methods employed, as well as the current state of the art on its application to clinical lung cancer studies. Chapter 2 provides the experimental details of this work, in regard to the subjects enrolled, sample collection and analysis, and data processing. In Chapter 3, the metabolic characterization of intact lung tissues (from 56 patients) by proton High Resolution Magic Angle Spinning (HRMAS) Nuclear Magnetic Resonance (NMR) spectroscopy is described. After careful assessment of acquisition conditions and thorough spectral assignment (over 50 metabolites identified), the metabolic profiles of tumour and adjacent control tissues were compared through multivariate analysis. The two tissue classes could be discriminated with 97% accuracy, with 13 metabolites significantly accounting for this discrimination: glucose and acetate (depleted in tumours), together with lactate, alanine, glutamate, GSH, taurine, creatine, phosphocholine, glycerophosphocholine, phosphoethanolamine, uracil nucleotides and peptides (increased in tumours). Some of these variations corroborated typical features of cancer metabolism (e.g., upregulated glycolysis and glutaminolysis), while others suggested less known pathways (e.g., antioxidant protection, protein degradation) to play important roles. Another major and novel finding described in this chapter was the dependence of this metabolic signature on tumour histological subtype. While main alterations in adenocarcinomas (AdC) related to phospholipid and protein metabolisms, squamous cell carcinomas (SqCC) were found to have stronger glycolytic and glutaminolytic profiles, making it possible to build a valid classification model to discriminate these two subtypes. Chapter 4 reports the NMR metabolomic study of blood plasma from over 100 patients and near 100 healthy controls, the multivariate model built having afforded a classification rate of 87%. The two groups were found to differ significantly in the levels of lactate, pyruvate, acetoacetate, LDL+VLDL lipoproteins and glycoproteins (increased in patients), together with glutamine, histidine, valine, methanol, HDL lipoproteins and two unassigned compounds (decreased in patients). Interestingly, these variations were detected from initial disease stages and the magnitude of some of them depended on the histological type, although not allowing AdC vs. SqCC discrimination. Moreover, it is shown in this chapter that age mismatch between control and cancer groups could not be ruled out as a possible confounding factor, and exploratory external validation afforded a classification rate of 85%. The NMR profiling of urine from lung cancer patients and healthy controls is presented in Chapter 5. Compared to plasma, the classification model built with urinary profiles resulted in a superior classification rate (97%). After careful assessment of possible bias from gender, age and smoking habits, a set of 19 metabolites was proposed to be cancer-related (out of which 3 were unknowns and 6 were partially identified as N-acetylated metabolites). As for plasma, these variations were detected regardless of disease stage and showed some dependency on histological subtype, the AdC vs. SqCC model built showing modest predictive power. In addition, preliminary external validation of the urine-based classification model afforded 100% sensitivity and 90% specificity, which are exciting results in terms of potential for future clinical application. Chapter 6 describes the analysis of urine from a subset of patients by a different profiling technique, namely, Ultra-Performance Liquid Chromatography coupled to Mass Spectrometry (UPLC-MS). Although the identification of discriminant metabolites was very limited, multivariate models showed high classification rate and predictive power, thus reinforcing the value of urine in the context of lung cancer diagnosis. Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the potential of integrated metabolomics of tissues and biofluids to improve current understanding of lung cancer altered metabolism and to reveal new marker profiles with diagnostic value.