Biocatalysis in micellar systems

[Excert] Biocatalysis and biotransformations are environmentally friendly, and allow the development of sustainable production processes on a large scale. Thus, these processes are becoming important alternatives to conventional chemistry in the drug, biochemical, and emerging biorenewable energy industries. Biocatalysts are required to function under non-conventional conditions, such as in organic solvents, being competitive in terms of cost and efficiency. In fact, the technological utility of enzymes can be enhanced greatly by using them in the presence of organic solvents, rather than in their natural aqueous reaction media. Multiphase systems are more complex but offer a new field of possibilities. The presence of hydrophobic solvents in biocatalysis allows the conversion of poorly water soluble substrates more efficiently. The accessibility of hydrophobic substrates to enzymes or whole cells presents an interesting challenge for researchers and technologists. In this context, microemulsions are a promising tool in enzyme technology. This chapter presents an overview of the characterization of biphasic and microemulsion systems and their applications in biotransformation processes (...).

Olive pomace pretreatments to enhance its valorisation by solid-state fermentation

Dissertação de mestrado em Bioengenharia

Predicting pre-triage waiting time in a maternity emergency room through data mining

An unsuitable patient flow as well as prolonged waiting lists in the emergency room of a maternity unit, regarding gynecology and obstetrics care, can affect the mother and child’s health, leading to adverse events and consequences regarding their safety and satisfaction. Predicting the patients’ waiting time in the emergency room is a means to avoid this problem. This study aims to predict the pre-triage waiting time in the emergency care of gynecology and obstetrics of Centro Materno Infantil do Norte (CMIN), the maternal and perinatal care unit of Centro Hospitalar of Oporto, situated in the north of Portugal. Data mining techniques were induced using information collected from the information systems and technologies available in CMIN. The models developed presented good results reaching accuracy and specificity values of approximately 74% and 94%, respectively. Additionally, the number of patients and triage professionals working in the emergency room, as well as some temporal variables were identified as direct enhancers to the pre-triage waiting time. The imp lementation of the attained knowledge in the decision support system and business intelligence platform, deployed in CMIN, leads to the optimization of the patient flow through the emergency room and improving the quality of services.

Communications with QoS in IoT&Cloud environment

Dissertação de mestrado integrado em Engenharia de Telecomunicações e Informática

Modelação de processos num serviço de uma organização de ensino superior

Dissertação de mestrado integrado em Engenharia e Gestão Industrial