Studies on the wine spoilage yeast Brettanomyces bruxellensis: 4-ethylphenol production and improved detection

Dissertação para obtenção do Grau de Mestre em Biotecnologia

A low-voltage RF-CMOS receiver front-end for a wireless fall detection microsystem

Dissertação para obtenção do Grau de Mestre em Engenharia Eletrotécnica e de Computadores, pela Universidade Nova de Ciências e Tecnologia

Development of an equipment to detect and quantify muscular spasticity

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

A nanopore-based stochastic detection method: Single molecule characterisation of nanoparticles using ()- hemolysin

Dissertation presented to obtain the Ph.D degree in Chemistry.

Energy-efficient diversity combining for different access schemes in a multi-path dispersive channel

Dissertação para obtenção do Grau de Doutor em Engenharia Electrotécnica e Computadores

A volumetric hybrid representation for obstacle detection in all-terrain robots

This dissertation presents an approach aimed at three-dimensional perception’s obstacle detection on all-terrain robots. Given the huge amount of acquired information, the adversities such environments present to an autonomous system and the swiftness, thus required, from each of its navigation decisions, it becomes imperative that the 3-D perceptional system to be able to map obstacles and passageways in the most swift and detailed manner. In this document, a hybrid approach is presented bringing the best of several methods together, combining the lightness of lesser meticulous analyses with the detail brought by more thorough ones. Realizing the former, a terrain’s slope mapping system upon a low resolute volumetric representation of the surrounding occupancy. For the latter’s detailed evaluation, two novel metrics were conceived to discriminate the little depth discrepancies found in between range scanner’s beam distance measurements. The hybrid solution resulting from the conjunction of these two representations provides a reliable answer to traversability mapping and a robust discrimination of penetrable vegetation from that constituting real obstructions. Two distinct robotic platforms offered the possibility to test the hybrid approach on very different applications: a boat, under an European project, the ECHORD Riverwatch, and a terrestrial four-wheeled robot for a national project, the Introsys Robot.

Ultrassonografia torácica : impacto no diagnóstico e estadiamento do cancro do pulmão

RESUMO:RESUMO: Nos últimos anos a ultrassonografia emergiu como um instrumento importante no diagnóstico da patologia torácica. O progresso tecnológico possibilitou a conceção de novos equipamentos como a ecoendoscopia brônquica radial e linear. Verificou-se, igualmente, o aparecimento de indicações para a realização de ecografia transtorácica. Uma das principais doenças impulsionadoras da técnica ultrassonográfica no tórax foi o cancro do pulmão, primeira causa de morte oncológica a nível mundial. A aplicabilidade e conhecimento do papel dos ultrassons no âmbito do diagnóstico e estadiamento do cancro do pulmão não se encontram esgotados, persistindo focos de controvérsia e dúvida científica que se pretendem esclarecer. A presente tese foi organizada em cinco capítulos: o primeiro abordou de forma geral e introdutória o estado da arte referente à ultrassonografia torácica, cancro do pulmão e a sua conjugação; o segundo destacou os principais objetivos; o terceiro sumarizou a metodologia utilizada; o quarto englobou os cinco estudos publicados, descritos subsequentemente, e o quinto incluiu uma discussão concisa, as principais conclusões e perspetivas futuras. O primeiro estudo avaliou a rentabilidade diagnóstica, segurança e curva de aprendizagem num coorte de 179 doentes submetidos a ecoendoscopia brônquica linear. De acordo com as indicações para este procedimento os doentes foram subdivididos em três grupos: (1) diagnóstico, (2) diagnóstico e estadiamento e (3) estadiamento. Para o primeiro, segundo e terceiro grupos a sensibilidade da ecoendoscopia foi 86.1%, 86.7% e 95% respetivamente e a precisão técnica foi 87.5%, 93.1% e 97.7% respetivamente. O treino originou um aumento progressivo do número de locais puncionados por doente, com menor duração e sem complicações, comprovando a eficácia e segurança do método quando realizado na população Portuguesa por broncologistas com experiência. O segundo estudo foi conduzido para averiguar a eficácia e custo da ecoendoscopia brônquica linear realizada através da via aérea e/ou esófago no diagnóstico de lesões sugestivas de neoplasia do pulmão, após ineficácia das técnicas convencionais. Nos doentes incluídos prospetivamente alcançou-se um diagnóstico definitivo em 106 casos (87.6%). A sensibilidade global para o diagnóstico de cancro do pulmão foi 89.8%, a especificidade foi 100%, o valor preditivo positivo foi 100%, o valor preditivo negativo foi 20% e a precisão foi 90.1%. Esta estratégia ultrassonográfica abrangente evitou intervenções cirúrgicas diagnósticas em doentes anteriormente submetidos a broncoscopia flexível ou punção aspirativa transtorácica guiada por tomografia computorizada, proporcionando uma redução significativa dos custos. No terceiro estudo investigou-se a viabilidade e papel da conjugação da ecoendoscopia brônquica linear com técnicas moleculares na avaliação de antigénios tumorais e padrões de metastização ganglionar em doentes com cancro do pulmão de não-pequenas células (CPNPC). Os marcadores citoqueratina 19 (CK-19), antigénio carcinoembrionário (CEA), molécula de adesão celular epitelial (EPCAM), sialyl-Lewis X e CD44 foram determinados nos aspirados ganglionares de 33 doentes com neoplasia e 17 controlos 10 Ultrassonografia através de citometria de fluxo (CF) e reação em cadeia da polimerase em tempo real (RTPCR). Os doentes com CPNPC possuíam um compartimento celular epitelial significativamente aumentado e com marcação superior de CK-19 comparativamente ao grupo de controlo. O compartimento imune foi também analisado nestas amostras e revelou-se alterado no CPNPC com aumento da população de monócitos e diminuição das subpopulações linfocitárias. Os transcriptos de CK-19, CEA e EPCAM estavam elevados nos doentes com cancro do pulmão, identificando-se uma correlação positiva entre estes marcadores e o tamanho da lesão primária. Concluiu-se que a identificação de CK-19, CEA e EPCAM nas amostras obtidas por ecoendoscopia e avaliadas por CF e RTPCR foi viável, podendo auxiliar na deteção de metástases ganglionares no CPNPC. O quarto estudo envolveu a combinação da ecoendoscopia brônquica radial com uma criosonda para o diagnóstico de lesões pulmonares sólidas periféricas. Foi determinada a viabilidade, rentabilidade diagnóstica, tamanho das amostras e segurança do método. Lesões inferiores a 40mm foram localizadas por ultrassonografia sendo os doentes randomizados para a realização de biópsias transbrônquicas com pinça seguidas por criosonda ou vice-versa. Nos 39 casos incluídos a lesão foi visualizada pela minisonda em 31 doentes (79.5%), com 80.6% de prevalência de cancro do pulmão na amostra. A rentabilidade diagnóstica da pinça de biópsia foi 61.3% e da criosonda foi 74.2%. O tamanho do tecido adquirido pelas criobiópsias foi significativamente maior do que o alcançado por pinça (11.17mm2 vs. 4.69mm2, p<0.001). Ocorreu um único caso de hemorragia moderada, controlada através de medidas conservadoras. As biópsias transbrônquicas com criosonda sob orientação de ecoendoscopia radial foram seguras e eficazes na obtenção de amostras histológicas. O quinto estudo determinou o valor diagnóstico da ecografia transtorácica na identificação de malignidade em doentes com derrame pleural de natureza indeterminada. Foram examinados de forma prospetiva 154 doentes. Os resultados clínicos e radiológicos de cada caso foram ocultados ao executante do exame que gerou imagens estáticas e vídeos ultrassonográficos relevantes. Estes foram posteriormente visualizados, sendo as suas características classificadas por revisores independentes e comparadas com o diagnóstico definitivo. Em 66 casos o diagnóstico foi de derrame pleural maligno (68.2% com cancro do pulmão) e em 67 de derrame benigno. A ecografia torácica obteve 80.3% de sensibilidade, 83.6% de especificidade, 81.2% de valor preditivo negativo e 82.8% de valor preditivo positivo na deteção de malignidade. A nodularidade pleural ou diafragmática, espessamento pleural superior a 10mm e sinal de swirling foram significativamente diferentes (p<0.001) sendo sugestivos de derrame maligno. A existência de nodularidade pleural e ausência de broncograma aéreo ecográfico aumentaram a probabilidade de malignidade (OR 29.0 e OR 10.4, respetivamente). A ecografia transtorácica permitiu diferenciar derrame pleural maligno do benigno. A existência de nódulos pleurais constituiu o fator discriminador mais relevante. Em conclusão, os resultados desta tese possibilitam uma melhor compreensão do papel da ecoendoscopia brônquica (linear e radial) e ecografia transtorácica no diagnóstico e estadiamento do cancro do pulmão, com implicações e aplicabilidade na prática clínica.------------- ABSTRACT: In recent years ultrasonography has emerged as an important instrument in the diagnosis of thoracic diseases. Technological progress has enabled the design of new equipment such as radial and linear endobronchial ultrasound. In addition, indications for transthoracic echography were established. One of the main diseases responsible for the progression of chest sonography was lung cancer, the leading cause of cancer mortality worldwide. The applicability and knowledge of the role of ultrasonography in diagnosing and staging lung cancer is not depleted, persisting foci of controversy and scientific doubt that we intend to elucidate. The present thesis was organized into five chapters: the first included a general introduction regarding chest ultrasound, lung cancer and their combination; the second emphasized the main objectives; the third summarized the methodology used; the fourth encompassed the five published studies, subsequently described, and the fifth included a concise discussion, the main findings and future perspectives. The first study evaluated the diagnostic yield, safety and learning curve in a cohort of 179 patients submitted to linear endobronchial ultrasound. According to procedure indications, the patients were divided into three groups: (1) diagnosis, (2) diagnosis and staging, and (3) staging. For the first, second and third groups, endobronchial ultrasound sensitivity was 86.1%, 86.7% and 95% respectively and accuracy was 87.5%, 93.1% and 97.7% respectively. Practise led to an increase number of punctured sites per patient, in a shorter period of time and without complications, proving the safety and efficacy of the method when performed in the Portuguese population by expert echoscopists. The second study was conducted to determine the efficacy and cost of linear endobronchial ultrasound performed through the airway and/or oesophagus for diagnosis of lesions suggestive of lung cancer, after failure of conventional techniques. Of the patients prospectively enrolled a definitive diagnosis was reached in 106 cases (87.6%). The overall sensitivity for the diagnosis of lung cancer was 89.8%, specificity was 100%, positive predictive value was 100%, negative predictive value was 20% and accuracy was 90.1%. In conclusion, this global ultrasonographic strategy avoided diagnostic surgical procedures in patients that had undergone flexible bronchoscopy or computed tomography-guided transthoracic needle aspiration, providing a significant cost reduction. In the third study, the feasibility and role of linear endobronchial ultrasound combined with molecular techniques in the evaluation of tumour antigens and patterns of lymph node metastasis in patients with non-small cell lung cancer (NSCLC) was investigated. Cytokeratin 19 (CK-19), carcinoembryonic antigen (CEA), epithelial cell adhesion molecule (EPCAM), sialyl Lewis-X and CD44 were determined in lymph node aspirates of 33 lung cancer patients and 17 controls, using flow cytometry (FC) and reverse transcription polymerase chain reaction (RT-PCR). In patients with NSCLC the epithelial cell compartment was significantly increased nd showed brighter CK-19 staining, compared to the control group. In NSCLC patients the immune compartment revealed an increased monocyte population and decreased lymphocyte subsets. The transcripts of CK- 19, CEA and EPCAM were higher in lung cancer patients and a positive correlation between these markers and the size of the primary lesion was also found. We concluded that the identification of CK-19, CEA and EPCAM in endobronchial ultrasound samples, using RT-PCR and FC was feasible and might aid in the detection of NSCLC lymph node metastases. The fourth study involved the combination of the radial endobronchial ultrasound with the cryoprobe for diagnosing solid peripheral lung lesions. We determined the feasibility, diagnostic yield, sample size and safety of the method. Lesions less than 40mm were located by ultrasound and forceps or cryobiopsies were performed in a randomized order. Of the 39 cases included, the lesion could be visualized by the miniprobe in 31 patients (79.5%), and lung cancer prevalence was 80.6%. The diagnostic yield of the biopsy forceps was 61.3% and for the cryobiopsy was 74.2 %. Cryobiopsies were significantly larger than forceps biopsies (11.17mm2 vs. 4.69mm2, p<0.001). There was only one case of moderate bleeding that was controlled by conservative measures. Transbronchial cryobiopsies under radial endobronchial ultrasound guidance were safe and effective in obtaining histological samples. The fifth study determined the diagnostic value of transthoracic sonography in predicting malignancy in patients with an undiagnosed pleural effusion. One hundred and fifty four patients were prospectively scanned. Relevant ultrasound images and videos were generated by an operator blinded to clinical and radiological results. These were subsequently visualized, its characteristics classified by independent reviewers and compared to the final diagnosis. A malignant pleural effusion was diagnosed in 66 cases (68.2 % with lung cancer) and a benign effusion in 67 cases. Thoracic ultrasound had a sensitivity of 80.3 %, specificity of 83.6%, negative predictive value of 81.2 % and positive predictive value of 82.8% to detect malignancy. The presence of pleural or diaphragmatic nodularity, pleural thickening greater than 10mm and swirling signal were significantly different (p<0.001 ), being suggestive of malignant effusion. The existence of pleural nodularity and absence of lung air bronchogram were more likely to indicate malignancy (OR 29.0 and OR 10.4, respectively). Transthoracic ultrasonography permits the distinction between malignant and benign pleural effusions. Pleural nodules were the most relevant feature. In conclusion, the results of this thesis provide a better understanding of the role of endobronchial ultrasound (linear and radial) and transthoracic sonography in lung cancer diagnosis and staging, with direct implications and applicability in clinical practice.

A semi-automatic approach to code smells detection

Eradication of code smells is often pointed out as a way to improve readability, extensibility and design in existing software. However, code smell detection remains time consuming and error-prone, partly due to the inherent subjectivity of the detection processes presently available. In view of mitigating the subjectivity problem, this dissertation presents a tool that automates a technique for the detection and assessment of code smells in Java source code, developed as an Eclipse plugin. The technique is based upon a Binary Logistic Regression model that uses complexity metrics as independent variables and is calibrated by expert‟s knowledge. An overview of the technique is provided, the tool is described and validated by an example case study.

Design and development of a microfluidic platform for use with colorimetric gold nanoprobe assays

Due to the importance and wide applications of the DNA analysis, there is a need to make genetic analysis more available and more affordable. As such, the aim of this PhD thesis is to optimize a colorimetric DNA biosensor based on gold nanoprobes developed in CEMOP by reducing its price and the needed volume of solution without compromising the device sensitivity and reliability, towards the point of care use. Firstly, the price of the biosensor was decreased by replacing the silicon photodetector by a low cost, solution processed TiO2 photodetector. To further reduce the photodetector price, a novel fabrication method was developed: a cost-effective inkjet printing technology that enabled to increase TiO2 surface area. Secondly, the DNA biosensor was optimized by means of microfluidics that offer advantages of miniaturization, much lower sample/reagents consumption, enhanced system performance and functionality by integrating different components. In the developed microfluidic platform, the optical path length was extended by detecting along the channel and the light was transmitted by optical fibres enabling to guide the light very close to the analysed solution. Microfluidic chip of high aspect ratio (~13), smooth and nearly vertical sidewalls was fabricated in PDMS using a SU-8 mould for patterning. The platform coupled to the gold nanoprobe assay enabled detection of Mycobacterium tuberculosis using 3 8l on DNA solution, i.e. 20 times less than in the previous state-of-the-art. Subsequently, the bio-microfluidic platform was optimized in terms of cost, electrical signal processing and sensitivity to colour variation, yielding 160% improvement of colorimetric AuNPs analysis. Planar microlenses were incorporated to converge light into the sample and then to the output fibre core increasing 6 times the signal-to-losses ratio. The optimized platform enabled detection of single nucleotide polymorphism related with obesity risk (FTO) using target DNA concentration below the limit of detection of the conventionally used microplate reader (i.e. 15 ng/μl) with 10 times lower solution volume (3 μl). The combination of the unique optical properties of gold nanoprobes with microfluidic platform resulted in sensitive and accurate sensor for single nucleotide polymorphism detection operating using small volumes of solutions and without the need for substrate functionalization or sophisticated instrumentation. Simultaneously, to enable on chip reagents mixing, a PDMS micromixer was developed and optimized for the highest efficiency, low pressure drop and short mixing length. The optimized device shows 80% of mixing efficiency at Re = 0.1 in 2.5 mm long mixer with the pressure drop of 6 Pa, satisfying requirements for the application in the microfluidic platform for DNA analysis.

Microwave imaging of the axilla to aid breast cancer diagnosis

Breast cancer is the most common type of cancer among women all over the world. An important issue that is not commonly addressed in breast cancer imaging literature is the importance of imaging the underarm region—where up to 80% of breast cancer cells can metastasise to. The first axillary lymph nodes to receive drainage from the primary tumour in the breast are called Sentinel Node. If cancer cells are found in the Sentinel Node, there is an increased risk of metastatic breast cancer which makes this evaluation crucial to decide what follow-up exams and therapy to follow. However, non-invasive detection of cancer cells in the lymph nodes is often inconclusive, leading to the surgical removal of too many nodes which causes adverse side-effects for patients. Microwave Imaging is one of the most promising non-invasive imaging modalities for breast cancer early screening and monitoring. This novel study tests the feasibility of imaging the axilla region by means of the simulation of an Ultra-Wideband Microwave Imaging system. Simulations of such system are completed in several 2D underarm models that mimic the axilla. Initial imaging results are obtained by means of processing the simulated backscattered signals by eliminating artefacts caused by the skin and beamforming the processed signals in order to time-align all the signals recorded at each antenna. In this dissertation several image formation algorithms are implemented and compared by visual inspection of the resulting images and through a range of performance metrics, such as Signal-to-Clutter Ratio and FullWidth Half Maximum calculations. The results in this study showed that Microwave Imaging is a promising technique that might allow to identify the presence and location of metastasised cancer cells in axillary lymph nodes, enabling the non-invasive evaluation of breast cancer staging.

Immunohistochemistry detection of putative miR-200c and miR-203 targets in breast cancer patients

Part of this thesis will be published in the following: Gomes, B.C., Santos, B. 2015. Methods for studying microRNAs expression and their targets in formalin-fixed, paraffin-embedded (FFPE) breast cancer tissues. In Methods in Molecular Biology: Cancer Drug Resistance (Rueff, J. & Rodrigues, A.S. eds), Springer Protocols.

Gold nanoparticles for the detection of DNA adducts as biomarkers of exposure to acrylamide

The main objective of this thesis was the development of a gold nanoparticle-based methodology for detection of DNA adducts as biomarkers, to try and overcome existing drawbacks in currently employed techniques. For this objective to be achieved, the experimental work was divided in three components: sample preparation, method of detection and development of a model for exposure to acrylamide. Different techniques were employed and combined for de-complexation and purification of DNA samples (including ultrasonic energy, nuclease digestion and chromatography), resulting in a complete protocol for sample treatment, prior to detection. The detection of alkylated nucleotides using gold nanoparticles was performed by two distinct methodologies: mass spectrometry and colorimetric detection. In mass spectrometry, gold nanoparticles were employed for laser desorption/ionisation instead of the organic matrix. Identification of nucleotides was possible by fingerprint, however no specific mass signals were denoted when using gold nanoparticles to analyse biological samples. An alternate method using the colorimetric properties of gold nanoparticles was employed for detection. This method inspired in the non-cross-linking assay allowed the identification of glycidamide-guanine adducts and DNA adducts generated in vitro. For the development of a model of exposure, two different aquatic organisms were studies: a goldfish and a mussel. Organisms were exposed to waterborne acrylamide, after which mortality was recorded and effect concentrations were estimated. In goldfish, both genotoxicity and metabolic alterations were assessed and revealed dose-effect relationships of acrylamide. Histopathological alterations were verified primarily in pancreatic cells, but also in hepatocytes. Mussels showed higher effect concentrations than goldfish. Biomarkers of oxidative stress, biotransformation and neurotoxicity were analysed after prolonged exposure, showing mild oxidative stress in mussel cells, and induction of enzymes involved in detoxification of oxygen radicals. A qualitative histopathological screening revealed gonadotoxicity in female mussels, which may present some risk to population equilibrium.

State detection in a financial portfolio: a self-organizing maps approach for financial time series

This study analyses financial data using the result characterization of a self-organized neural network model. The goal was prototyping a tool that may help an economist or a market analyst to analyse stock market series. To reach this goal, the tool shows economic dependencies and statistics measures over stock market series. The neural network SOM (self-organizing maps) model was used to ex-tract behavioural patterns of the data analysed. Based on this model, it was de-veloped an application to analyse financial data. This application uses a portfo-lio of correlated markets or inverse-correlated markets as input. After the anal-ysis with SOM, the result is represented by micro clusters that are organized by its behaviour tendency. During the study appeared the need of a better analysis for SOM algo-rithm results. This problem was solved with a cluster solution technique, which groups the micro clusters from SOM U-Matrix analyses. The study showed that the correlation and inverse-correlation markets projects multiple clusters of data. These clusters represent multiple trend states that may be useful for technical professionals.

Study of the electromyographic signal dynamic behavior in Amyotrophic Lateral Sclerosis (ALS)

Amyotrophic Lateral Sclerosis (ALS) is a neurodegenerative disease characterized by motor neurons degeneration, which reduces muscular force, being very difficult to diagnose. Mathematical methods are used in order to analyze the surface electromiographic signal’s dynamic behavior (Fractal Dimension (FD) and Multiscale Entropy (MSE)), evaluate different muscle group’s synchronization (Coherence and Phase Locking Factor (PLF)) and to evaluate the signal’s complexity (Lempel-Ziv (LZ) techniques and Detrended Fluctuation Analysis (DFA)). Surface electromiographic signal acquisitions were performed in upper limb muscles, being the analysis executed for instants of contraction for ipsilateral acquisitions for patients and control groups. Results from LZ, DFA and MSE analysis present capability to distinguish between the patient group and the control group, whereas coherence, PLF and FD algorithms present results very similar for both groups. LZ, DFA and MSE algorithms appear then to be a good measure of corticospinal pathways integrity. A classification algorithm was applied to the results in combination with extracted features from the surface electromiographic signal, with an accuracy percentage higher than 70% for 118 combinations for at least one classifier. The classification results demonstrate capability to distinguish members between patients and control groups. These results can demonstrate a major importance in the disease diagnose, once surface electromyography (sEMG) may be used as an auxiliary diagnose method.

Methodological framework for detection of harmonisation breaking in service environments

As the complexity of markets and the dynamicity of systems evolve, the need for interoperable systems capable of strengthening enterprise communication effectiveness increases. This is particularly significant when it comes to collaborative enterprise networks, like manufacturing supply chains, where several companies work, communicate, and depend on each other, in order to achieve a specific goal. Once interoperability is achieved, that is once all network parties are able to communicate with and understand each other, organisations are able to exchange information along a stable environment that follows agreed laws. However, as markets adapt to new requirements and demands, an evolutionary behaviour is triggered giving space to interoperability problems, thus disrupting the sustainability of interoperability and raising the need to develop monitoring activities capable of detecting and preventing unexpected behaviour. This work seeks to contribute to the development of monitoring techniques for interoperable SOA-based enterprise networks. It focuses on the automatic detection of harmonisation breaking events during real-time communications, and strives to develop and propose a methodological approach to handle these disruptions with minimal or no human intervention, hence providing existing service-based networks with the ability to detect and promptly react to interoperability issues.