Catalisadores ou precursores de espécies activas à base de molibdénio

Atendendo à produção de epóxidos em larga escala e à sua importância como intermediários versáteis, muita atenção tem sido dada à epoxidação de olefinas. Destaca-se a implementação do processo industrial de epoxidação de propileno em fase líquida com tBHP, usando complexos de molibdénio como catalisadores homogéneos (Halcon-ARCO). Neste trabalho foram investigados novos complexos à base de molibdénio como catalisadores (ou precursores) para epoxidação de olefinas em fase líquida. Foi objecto de estudo a identificação das espécies activas e a estabilidade dos catalisadores através da sua separação no final das reacções catalíticas, caracterização e reutilização. Escolheu-se como reacção modelo a epoxidação do ciscicloocteno com tBHP (em decano, tBHPdec), a 55 ºC. Estendeu-se o estudo dos desempenhos catalíticos a diferentes substratos, oxidantes, solventes e métodos de aquecimento. A maior actividade catalítica foi observada para os complexos [MoO2Cl2L2] (L=ligando dialquilamida), mais estáveis e fáceis de manusear que [MoO2Cl2] e complexos análogos com L {THF, MeCN} (Cap. 2). A partir destes complexos podem-se formar in situ espécies activas intermediárias do tipo [(MoO2ClL2)2(μ-O)]. O complexo [MoO2(Lzol)], Lzol= ligando oxazolina quiral (Cap. 3), é um catalisador estável e versátil, activo para a epoxidação de diversas olefinas (selectividades elevadas para epóxidos, mas enantioselectividades baixas), desidrogenação oxidativa de álcoois e sulfoxidação de sulfuretos. O catalisador foi também reciclado eficientemente, usando um líquido iónico (LI). O complexo iónico [MoO2Cl{HC(3,5-Me2pz)3}]BF4 (Cap.4) converteu-se nos complexos activos [{MoO2(HC(3,5-Me2pz)3)}2(μ-O)](BF4)2, [Mo2O3(O2)2(μ-O){HC(3,5-Me2pz)3}] e [MoO3{HC(3,5-Me2pz)3}]; quando dissolvido num LI, o catalisador foi reciclado com sucesso. A presença de água e o meio oxidante influenciaram a formação destas espécies. Os complexos [CpMo(CO)3Me] (Cap.5) e [CpMo(CO)2(η3- C3H5)] (Cap.6) originaram espécies activas similares (baseado nos testes catalíticos e nos espectros FT-IR ATR dos sólidos recuperados). Para [Cp'Mo(CO)2(η3-C3H5)], a influência do Cp' na actividade catalítica sugeriu a formação de espécies activas com este ligando. A partir dos complexos [Mo(CO)4L] formaram-se in situ catalisadores estáveis, que podem ser heterogéneos: para L=2-[3(5)-pirazolil]piridina formou-se [Mo4O12L4]; para L=[3- (2-piridil)-1-pirazolil]acetato de etilo formou-se [Mo8O24L4] (Cap.7). O uso de microondas (MO) como método de aquecimento em vez de um banho de óleo (BO) resultou no aumento da velocidade da reacção catalítica, devido ao aquecimento mais rápido da mistura reaccional (Caps. 5 e 7). A utilização da solução aquosa de tBHP em vez de tBHPdec era preferível, porque excluía o decano do sistema reaccional e mantinham-se elevados os rendimentos em epóxido (Caps. 2 e 6); optimizou-se o desempenho catalítico removendo a água das misturas reaccionais (Caps. 4 e 7). O melhor resultado para a epoxidação de limoneno foi observado para [CpMoCO3Me]: 88% de rendimento em epóxido (2 h, 55 ºC, método de aquecimento MO).

Metabonomic studies to assess beer quality and stability

The work reported in this thesis aimed at applying the methodology known as metabonomics to the detailed study of a particular type of beer and its quality control, with basis on the use of multivariate analysis (MVA) to extract meaningful information from given analytical data sets. In Chapter 1, a detailed description of beer is given considering the brewing process, main characteristics and typical composition of beer, beer stability and the commonly used analytical techniques for beer analysis. The fundamentals of the analytical methods employed here, namely nuclear magnetic resonance (NMR) spectroscopy, gas-chromatography-mass spectrometry (GC-MS) and mid-infrared (MIR) spectroscopy, together with the description of the metabonomics methodology are described shortly in Chapter 2. In Chapter 3, the application of high resolution NMR to characterize the chemical composition of a lager beer is described. The 1H NMR spectrum obtained by direct analysis of beer show a high degree of complexity, confirming the great potential of NMR spectroscopy for the detection of a wide variety of families of compounds, in a single run. Spectral assignment was carried out by 2D NMR, resulting in the identification of about 40 compounds, including alcohols, amino acids, organic acids, nucleosides and sugars. In a second part of Chapter 3, the compositional variability of beer was assessed. For that purpose, metabonomics was applied to 1H NMR data (NMR/MVA) to evaluate beer variability between beers from the same brand (lager), produced nationally but differing in brewing site and date of production. Differences between brewing sites and/or dates were observed, reflecting compositional differences related to particular processing steps, including mashing, fermentation and maturation. Chapter 4 describes the quantification of organic acids in beer by NMR, using different quantitative methods: direct integration of NMR signals (vs. internal reference or vs. an external electronic reference, ERETIC method) and by quantitative statistical methods (using the partial least squares (PLS) regression) were developed and compared. PLS1 regression models were built using different quantitative methods as reference: capillary electrophoresis with direct and indirect detection and enzymatic essays. It was found that NMR integration results generally agree with those obtained by the best performance PLS models, although some overestimation for malic and pyruvic acids and an apparent underestimation for citric acid were observed. Finally, Chapter 5 describes metabonomic studies performed to better understand the forced aging (18 days, at 45 ºC) beer process. The aging process of lager beer was followed by i) NMR, ii) GC-MS, and iii) MIR spectroscopy. MVA methods of each analytical data set revealed clear separation between different aging days for both NMR and GC-MS data, enabling the identification of compounds closely related with the aging process: 5-hydroxymethylfurfural (5-HMF), organic acids, γ-amino butyric acid (GABA), proline and the ratio linear/branched dextrins (NMR domain) and 5-HMF, furfural, diethyl succinate and phenylacetaldehyde (known aging markers) and, for the first time, 2,3-dihydro-3,5-dihydroxy-6-methyl-4(H)-pyran-4-one xii (DDMP) and maltoxazine (by GC-MS domain). For MIR/MVA, no aging trend could be measured, the results reflecting the need of further experimental optimizations. Data correlation between NMR and GC-MS data was performed by outer product analysis (OPA) and statistical heterospectroscopy (SHY) methodologies, enabling the identification of further compounds (11 compounds, 5 of each are still unassigned) highly related with the aging process. Data correlation between sensory characteristics and NMR and GC-MS was also assessed through PLS1 regression models using the sensory response as reference. The results obtained showed good relationships between analytical data response and sensory response, particularly for the aromatic region of the NMR spectra and for GC-MS data (r > 0.89). However, the prediction power of all built PLS1 regression models was relatively low, possibly reflecting the low number of samples/tasters employed, an aspect to improve in future studies.