Development of infrared spectroscopy for assessing bacterial quality in foods

Rapid and specific detection of foodborne bacteria that can cause food spoilage or illness associated to its consumption is an increasingly important task in food industry. Bacterial detection, identification, and classification are generally performed using traditional methods based on biochemical or serological tests and the molecular methods based on DNA or RNA fingerprints. However, these methodologies are expensive, time consuming and laborious. Infrared spectroscopy is a reliable, rapid, and economic technique which could be explored as a tool for bacterial analysis in the food industry. In this thesis it was evaluated the potential of IR spectroscopy to study the bacterial quality of foods. In Chapter 2, it was developed a calibration model that successfully allowed to predict the bacterial concentration of naturally contaminated cooked ham samples kept at refrigeration temperature during 8 days. In this part, it was developed the methodology that allowed the best reproducibility of spectra from bacteria colonies with minimal sample preparation, which was used in the subsequent work. Several attempts trying different resolutions and number of scans in the IR were made. A spectral resolution of 4 cm-1, with 32 scans were the settings that allowed the best results. Subsequently, in Chapter 3, it was made an attempt to identify 22 different foodborne bacterial genera/species using IR spectroscopy coupled with multivariate analysis. The principal component analysis, used as an exploratory technique, allowed to form distinct groups, each one corresponding to a different genus, in most of the cases. Then, a hierarchical cluster analysis was performed to further analyse the group formation and the possibility of distinction between species of the same bacterial genus. It was observed that IR spectroscopy not only is suitable to the distinction of the different genera, but also to differentiate species of the same genus, with the simultaneous use of principal component analysis and cluster analysis techniques. The utilization of IR spectroscopy and multivariate statistical analysis were also investigated in Chapter 4, in order to confirm the presence of Listeria monocytogenes and Salmonella spp. isolated from contaminated foods, after growth in selective medium. This would allow to substitute the traditional biochemical and serological methods that are used to confirm these pathogens and that delay the obtainment of the results up to 2 days. The obtained results allowed the distinction of 3 different Listeria species and the distinction of Salmonella spp. from other bacteria that can be mistaken with them. Finally, in chapter 5, high pressure processing, an emerging methodology that permits to produce microbiologically safe foods and extend their shelf-life, was applied to 12 foodborne bacteria to determine their resistance and the effects of pressure in cells. A treatment of 300 MPa, during 15 minutes at room temperature was applied. Gram-negative bacteria were inactivated to undetectable levels and Gram-positive showed different resistances. Bacillus cereus and Staphylococcus aureus decreased only 2 logs and Listeria innocua decreased about 5 logs. IR spectroscopy was performed in bacterial colonies before and after HPP in order to investigate the alterations of the cellular compounds. It was found that high pressure alters bands assigned to some cellular components as proteins, lipids, oligopolysaccharides, phosphate groups from the cell wall and nucleic acids, suggesting disruption of the cell envelopes. In this work, bacterial quantification and classification, as well as assessment of cellular compounds modification with high pressure processing were successfully performed. Taking this into account, it was showed that IR spectroscopy is a very promising technique to analyse bacteria in a simple and inexpensive manner.

O efeito do stress celular na proteína precursora de amilóide de Alzheimer = The effect of cellular stress on the Alzheimer's amyloid precursor protein

A proteína precursora de amilóide de Alzheimer (APP) é um factor chave na doença de Alzheimer (AD). Essencialmente o processamento da APP resulta na produção de Abeta, o peptídeo tóxico depositado nas placas de amilóide dos indivíduos com AD. Ainda permanece por esclarecer se o processamento da APP é afectado sob condições de stress celular, potencialmente aumentando a quantidade de Abeta produzida. Além disso, o stress celular pode induzir alterações moleculares, associadas à AD, que podem representar marcadores moleculares úteis para o diagnóstico da AD. Com estas questões em mente, procurámos identificar alterações, em resposta ao stress celular, no processamento da APP e na expressão de outras proteínas. Nestes estudos de monitorização considerámos que a fosforilação proteica anormal e o stress oxidativo podem contribuir para a condição patológica. Assim, investigámos o processamento da APP dependente da fosforilação durante o stress celular. Os dados obtidos confirmam que a secreção da APP é reduzida em situações de stress, e que o efeito é idêntico em linhas celulares de tipo neuronal e não neuronal. Os resultados obtidos revelam que o PMA, mesmo em situações de stress (azida de sódio 1 mM) pode afectar o processamento da APP, aumentando a produção de sAPP (o fragmento secretado após o processamento de APP) que pode potencialmente reduzir a produção de Abeta. A hipótese de afectar a produção de Abeta dependente da fosforilação, que por sua vez pode ter relevância num quadro clínico, mantém-se mesmo em condições de stress. Os resultados revelaram que a indução de sAPP, após a adição de ésteres de forbol, ou ácido ocadeíco, em condições de stress não é idêntica. Em contraste, sob condições controlo, tanto os ésteres de forbol como o ácido ocadeíco produzem o mesmo efeito em termos da produção de sAPP. Aparentemente estas duas vias podem ser dissociadas em condições de stress, o que de algum modo pode reflectir processamento alterado da APP em condições adversas. Nas experiências em que se analisou a expressão de outros potenciais marcadores moleculares, foram detectadas alterações nos níveis de expressão de várias proteínas. Estes marcadores moleculares representam alvos interessantes para futura validação e potenciais candidatos para um diagnóstico molecular na AD. As proteínas já identificadas são importantes do ponto de vista da transdução de sinais, e incluem a PP1, a HSP70, a PARP e a própria APP.

Sinalização celular e a resposta a estrogénios do epitélio mamário

Estrogens, such as 17β-estradiol (E2) are essential for normal growth and differentiation of the mammary gland. There are two estrogen receptors (ERs), ERα and ERβ which are ligand activated transcription factors. ERα stimulates proliferation and is the single most powerful predictor of breast cancer prognosis and since 70% of breast cancers express ERα, strategies to block this receptor are the primary breast cancer treatment. Unlike ERα, the role of ERβ in breast cancer and its potential as alternative therapeutic target remains controversial, mainly due to the lack of correlation between results obtained in vitro and epidemiological studies. The aim of this thesis was to increase our understanding of the molecular and cellular mechanisms of estrogen signaling in normal and cancerous cells, in different cellular contexts and with focus on ERβ. In Paper I we characterized the effect of the flavone PD098059 - which is a commonly used MEK1 inhibitor - on activation of transcription by ERα and ERβ. We found that the estrogenic effect of PD098059 is dose dependent in concentrations ranging from 1 – 10 μM and that activation of transcription by ER is suppressed by the inhibitory effect of PD98059 on MEK1 at concentrations above 50 μM. In agreement with its flavone nature, PD098059 had a much stronger effect on ERβ than on ERα transcriptional activity. Therefore, use of this compound for the study of signalling events in cells expressing ER should be carefully considered. In Paper II we assessed the effect of ERβ agonists in vivo and administered under different conditions in vitro. In basal conditions, ERβ induced apoptosis; however, in vivo ERβ agonists stimulated proliferation and inhibited apoptosis. In vivo effects were reproduced in culture, by activation of MAPK/ERK½ pathway with epidermal growth factor or basement membrane extract. In addition, insulin signalling and PI3-K/AKT activation was necessary for stimulation of proliferation. These results suggest that the cellular context modulates ERβ activity. Manuscript presents preliminary work aimed at the set-up of a methodological strategy to isolate ERs and to identify interacting proteins in different cellular contexts and which could modulate the bi-phased effects of ERβ in cell growth. In conclusion, the studies presented in this thesis contribute to clarify the apparent contradictory information regarding ERβ function in normal and cancerous mammary epithelium and suggest that the cellular context should be considered when ERβ effects are studied.

Gestão de desempenho numa rede celular

A realização desta dissertação tem como principal objetivo a análise de indicadores chave de desempenho numa rede celular de terceira geração - Universal Mobile Telecommunication System (UMTS), bem como a aplicação de técnicas matemáticas de previsão como apoio ao respetivo planeamento e otimização. Para o efeito, foi inicialmente efetuado um estudo sobre a evolução das comunicações de uma forma generalista, até às redes de nova geração, abordando individualmente, as de voz, as de dados e as comunicações móveis, assim como, uma breve descrição das organizações envolvidas nestas mudanças. No seguimento do estudo inicial, dando enfoque à tecnologia UMTS, foram expostas as suas características, a sua estrutura e arquitetura. Foram ainda elaboradas, duas comparações, com base em diferentes parâmetros, uma com a tecnologia da geração anterior e outra, com a de última geração. Com base nos conhecimentos adquiridos em diferentes pesquisas, foram estudados, os indicadores chave de desempenho (KPIs), as técnicas de planeamento e otimização, apresentando propostas de prevenção e soluções para problemas existentes na rede.