Environmental occurrence and fate of psychiatric pharmaceuticals

Os fármacos são importantes contaminantes ambientais. Nas últimas duas décadas, o número de estudos sobre a ocorrência destes poluentes emergentes em matrizes ambientais aumentou significativamente. Esta ocorrência generalizada preocupa a comunidade científica devido a evidências que comprovam a sua capacidade de interferir nos ecossistemas, mesmo em concentrações muito baixas. No caso particular dos fármacos psiquiátricos é expectável que constituam um risco ecológico significativo. Para uma melhor compreensão do impacto real destes poluentes é essencial que se proceda a uma avaliação extensiva da sua persistência e destino em matrizes ambientais. Os estudos apresentados nesta tese pretendem contribuir para melhorar o conhecimento acerca da ocorrência, persistência e destino ambiental de fármacos psiquiátricos. Para este efeito, foram seleccionados, como objecto de estudo, dois grupos de fármacos: anti-epilépticos (carbamazepina) e fármacos com efeitos ansiolíticos e sedativos (as benzodiazepinas diazepam, oxazepam, lorazepam e alprazolam). A fotodegradação é o principal processo que afecta a persistência de poluentes orgânicos em ambientes aquáticos. Consequentemente, a persistência dos cinco fármacos seleccionados foi avaliada através de estudos de fotodegradação directa e indirecta, tendo em consideração a influência de parâmetros relevantes tais como pH, nível de oxigenação e matéria orgânica dissolvida. Os estudos de fotodegradação aqui descritos foram seguidos por cromatografia micelar electrocinética com a aplicação de um capilar com revestimento dinâmico. Adicionalmente, os fotoprodutos resultantes de fotodegradação directa foram identificados por espectrometria de massa. O estudo da carbamazepina no ambiente é particularmente relevante uma vez que esta foi proposta como um potencial marcador de poluição antropogénica. A sua ocorrência em água superficiais, de sub-solo e residuais foi investigada através da implementação de um ensaio imunológico (ELISA), optimizado para a aplicação a triagens ambientais e amostras com matrizes complexas. O destino deste fármaco na interface água/solo foi também investigado usando solos agrícolas submetidos a fertilizações de longo prazo; este estudo permitiu tirar conclusões acerca da contaminação de águas adjacentes por solos contaminados. O trabalho aqui descrito constitui uma abordagem multidisplinar à problemática da ocorrência de fármacos psiquiátricos no ambiente, contribuindo de forma relevante para esta área de estudo.

Analytical methods to study fate of organic pollutants in environment

Environmental transport of pollutants comprises distinct processes such as volatilization, leaching and surface runoff. Sorption is one of the most important phenomena that affects leaching, and thus the fate of hydrophobic organic pollutants in soils and also control their distribution in the soil/water environment. The work developed focuses the optimization of analytical techniques for monitoring the sorption behaviour of organic pollutants, 17α- ethinylestradiol (EE2) and atrazine, and their fate in aqueous environment. Initially, the development of several analytical techniques, such as micellar electrokinetic chromatography, spectral deconvolution, using UV-Vis and fluorescence spectroscopy, and also enzyme linked immunosorbent assay was performed. Optimization, method performance and recovery tests are described and results discussed. Moreover, in order to evaluate the applicability of the previously optimized method, atrazine and EE2 sorption to soil samples was performed. The work developed provide several options, in terms of methodology to follow sorption of atrazine onto soils, however the choice depends on the laboratory conditions and on the analyst preferences. The advantages and disadvantages of each methodology should be evaluated first. The second part of this work consisted in the sorption behaviour study of those two different hydrophobic organic pollutants onto different soil samples. Soil organic matter chemical characterization, being essential to understand the binding mechanism responsible for the interactions, was made. The results of atrazine binding to organic matter pointed out that carboxyl units and aromaticrich organic matter are the most efficient binding agents for atrazine. EE2 adsorbs strongly to soil organic matter and is mainly stabilized by hydrophobic interactions, through aromatic nuclei face to face with surface and/or another EE2 molecule association. Farmyard manure soil contains higher aromatic and carboxyl units, indicating that this type of manure can be effectively used to minimize the residual toxicity of EE2 and atrazine present in soils, increasing the sorption and reducing leaching onto water resources. Since the final destination of organic pollutants can be ground, surface and/or waste water, atrazine and 17α-ethinylestradiol were quantified in several water samples.

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.