In search of reliable centimeter-level indoor positioning: a smartphone-based approach

This thesis describes the design and implementation of a reliable centimeter-level indoor positioning system fully compatible with a conventional smartphone. The proposed system takes advantage of the smartphone audio I/O and processing capabilities to perform acoustic ranging in the audio band using non-invasive audio signals and it has been developed having in mind applications that require high accuracy, such as augmented reality, virtual reality, gaming and audio guides. The system works in a distributed operation mode, i.e. each smartphone is able to obtain its own position using only acoustic signals. To support the positioning system, a Wireless Sensor Network (WSN) of synchronized acoustic beacons is used. To keep the infrastructure in sync we have developed an Automatic Time Synchronization and Syntonization (ATSS) protocol with a standard deviation of the sync offset error below 1.25 μs. Using an improved Time Difference of Arrival (TDoA) estimation approach (which takes advantage of the beacon signals’ periodicity) and by performing Non-Line-of-Sight (NLoS) mitigation, we were able to obtain very stable and accurate position estimates with an absolute mean error of less than 10 cm in 95% of the cases and a mean standard deviation of 2.2 cm for a position refresh period of 350 ms.

Optimization of a multielectrode array (MEA)-based approach to study the impact of Aβ on the SH-SY5Y cell line

The human brain stores, integrates, and transmits information recurring to millions of neurons, interconnected by countless synapses. Though neurons communicate through chemical signaling, information is coded and conducted in the form of electrical signals. Neuroelectrophysiology focus on the study of this type of signaling. Both intra and extracellular approaches are used in research, but none holds as much potential in high-throughput screening and drug discovery, as extracellular recordings using multielectrode arrays (MEAs). MEAs measure neuronal activity, both in vitro and in vivo. Their key advantage is the capability to record electrical activity at multiple sites simultaneously. Alzheimer’s disease (AD) is the most common neurodegenerative disease and one of the leading causes of death worldwide. It is characterized by neurofibrillar tangles and aggregates of amyloid-β (Aβ) peptides, which lead to the loss of synapses and ultimately neuronal death. Currently, there is no cure and the drugs available can only delay its progression. In vitro MEA assays enable rapid screening of neuroprotective and neuroharming compounds. Therefore, MEA recordings are of great use in both AD basic and clinical research. The main aim of this thesis was to optimize the formation of SH-SY5Y neuronal networks on MEAs. These can be extremely useful for facilities that do not have access to primary neuronal cultures, but can also save resources and facilitate obtaining faster high-throughput results to those that do. Adhesion-mediating compounds proved to impact cell morphology, viability and exhibition of spontaneous electrical activity. Moreover, SH-SY5Y cells were successfully differentiated and demonstrated acute effects on neuronal function after Aβ addition. This effect on electrical signaling was dependent on Aβ oligomers concentration. The results here presented allow us to conclude that the SH-SY5Y cell line can be successfully differentiated in properly coated MEAs and be used for assessing acute Aβ effects on neuronal signaling.

Microbiological quality of bivalves: relevance to food safety

Os moluscos bivalves constituem um recurso haliêutico de elevada importância na economia (inter)nacional pelas suas características organolépticas, valor nutritivo e relevância na gastronomia tradicional. Não obstante, representam um produto alimentar de elevado risco para a saúde pública. A contaminação microbiológica (autóctone e antropogénica), sendo crónica nos bancos de bivalves das zonas estuarino-lagunares, constitui uma das principais preocupações associadas à segurança alimentar. Aquando da filtração inerente aos processos de respiração e alimentação, os bivalves bioacumulam passivamente microrganismos incluindo os patogénicos. A sua colocação no mercado impõe pois, prévia salubrização para níveis microbiológicos compatíveis com a legislação em vigor, salvaguardando a saúde pública. Apesar da monitorização das áreas de apanha e produção, das medidas de prevenção e da depuração, a ocorrência de surtos associados ao consumo de bivalves tem aumentado. Tal deve-se à insuficiente monitorização da contaminação microbiológica dos bivalves, contribuindo para uma gestão ineficaz do produto e consequente sub-valorização. O presente trabalho pretendeu caracterizar o estado de desenvolvimento do sector de exploração de bivalves em Portugal do ponto de vista da segurança alimentar, e analisar os aspectos cruciais da monitorização e da depuração do produto apresentando alternativas abrangentes e aplicáveis ao sector. Assim, desenvolveu-se uma metodologia de base molecular passível de adaptação à monitorização dos bivalves das zonas conquícolas, como alternativa ao método de referência vigente do Número Mais Provável que é baseado apenas na quantificação de Escherichia coli. O mexilhão (Mytilus edulis) da Ria de Aveiro, bivalve de interesse comercial a nível (inter)nacional serviu de modelo para a comparação de protocolos de extração de DNA. Esta metodologia foi desenvolvida de modo a que os métodos de extração de DNA sejam passíveis de aplicação a outras matrizes biológicas ou ambientais. Para além da detecção e quantificação directa de bactérias patogénicas, esta metodologia poderá ser aplicada à monitorização da transferência vertical microbiana nos bancos de bivalves bem como à caracterização da dinâmica espacio-temporal das populações microbianas no ambiente e à monitorização dos processos de depuração. Foi ainda abordado o potencial da aplicação de bacteriófagos ou de enzimas líticas para a optimização dos processos de purificação. O trabalho realizado e as perspectivas futuras propostas pretendem contribuir para a dinamização e requalificação do sector de exploração de bivalves através da melhoria do nível de segurança alimentar dos moluscos bivalves comercializados para alimentação humana, valorizando este recurso.

Toxicidade de químicos em mistura: o caso da albufeira do Alqueva

In the environment humans and biota are generally exposed to chemical mixtures rather than individual chemicals. Therefore, when assessing the environmental risk of chemicals, it is important to consider chemical mixtures and their possible interactions. The main objective of this work focused on the environmental risk assessment of pesticides found in the water of the Alqueva reservoir and their binary combinations. In this aquatic ecosystem several pesticides were above of the environmental quality standards. But in addition, there were several sampling points of the reservoir where ecotoxicity was observed despite the presence of these contaminants at low concentrations. Here, a component-based approach was used to assess the effects of the pesticide mixtures. The effects of the binary combinations of four herbicides, atrazine (ATR), terbuthylazine (TER), simazine (SIM) and metolachlor (MET), on the growth rate of the microalgae Pseudokirchneriella subcapitata and the effects of the binary combinations of the s-triazine herbicides ATR and TER and the insecticide chlorpyrifos (CPF) on the swimming behaviour and acetylcholinesterase (AChE) activity of the zebrafish Danio rerio were assessed using the two reference models of concentration addition (CA) and independent action (IA). Moreover, the combined effects of the herbicides (ATR, TER and MET) and the insecticide CPF were also tested on the swimming behaviour and AChE activity of the aquatic midge Chironomus riparius after the cholinesterases characterization. In this risk characterization, the calculated risk quotients for the herbicides ATR, TER, SIM and MET were higher than 1, meaning that these herbicides present a high risk for the Alqueva ecosystem. As expected, the microalgae P. subcapitata was the most sensitive species to the herbicides. However, despite these herbicides pose no or low risk to other aquatic organisms tested in this study, with EC50 values much higher than the concentrations found in this aquatic ecosystem, they are able to increase the toxic effects of CPF when they are tested in binary mixtures. Moreover, the risk quotients of mixtures of these herbicides present simultaneously in three different locations of the reservoir were also higher than 1, so this confirms the fact that these herbicides when present in mixtures, present a greater risk for this ecosystem than the expected considering each single chemical by its own.