Eugénio C. Ferreira

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University of Minho

Portugal

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About

Eugénio C. Ferreira is a Professor at Universidade do Minho in Portugal. His research focuses on wastewater treatment processes, particularly through the analysis of microbial communities and the development of computational models. Recent articles reflect his expertise in quantitative image analysis, biotechnology in wastewater treatment, and the environmental impact of contaminants such as microplastics. He is dedicated to advancing knowledge in the sustainable management of water resources.

Recent Grants

Grant: Close

Portal da Inovação da Universidade do Minho

Open Date: 2021-07-01

Close Date: 2023-06-30

Grant: Close

MarPlas - Evaluation and valorization of plastics and microplastics in marine environment

Open Date: 2021-01-01

Close Date: 2022-12-31

Grant: Close

PAMWater - Predictive and Analytic Models for the Optimization of Multi-municipal Water Systems / Modelos Analíticos e Predictivos para Optimização de Sistemas Multimunicipais de Água

Open Date: 2020-01-01

Close Date: 2022-12-01

Grant: Close

DEEPBIO - Machine learning and deep learning approaches to industrial biotechnology applications

Open Date: 2019-07-01

Close Date: 2022-06-01

Grant: Close

Centre of Biological Engineering - University of Minho

Open Date: 2019-01-01

Close Date: 2019-12-31

Articles (21)

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2021

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2021

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2021

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PORTUGAL

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Ana S. Oliveira

Invited assistant professor of Bioreactor Technology, Bioengineering course (3rd year)

Universidade Catolica Portuguesa Escola Superior de Biotecnologia

PORTUGAL

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Eugénio C. Ferreira

Research Interests

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About

Recent Grants

Articles (21)

Monitoring the stability of aerobic granular sludge under increasing fractions of slowly biodegradable substrate using quantitative image analysis

BioISO: an objective-oriented application for assisting the curation of genome-scale metabolic models

Cookie composition analysis by Fourier transform near infrared spectroscopy coupled to chemometric analysis

BioISO: an objective-oriented application for assisting the curation of genome-scale metabolic models

Quantitative image analysis for assessing extracellular polymeric substances in activated sludge under atrazine exposure

Unravelling microbiome changes in aerobic granular sludge saline wastewater treatment using a slow stepwise salt increase strategy

A Review of Computational Modeling in Wastewater Treatment Processes

Monitoring biotechnological processes through quantitative image analysis: Application to 2-phenylethanol production by Yarrowia lipolytica

Fate and occurrence of microplastics in wastewater treatment plants

merlin, an improved framework for the reconstruction of high-quality genome-scale metabolic models

Prediction of sludge settleability, density and suspended solids of aerobic granular sludge in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric tools

Quantitative image analysis as a robust tool to assess effluent quality from an aerobic granular sludge system treating industrial wastewater

FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source

Monitoring morphological changes from activated sludge to aerobic granular sludge under distinct organic loading rates and increasing minimal imposed sludge settling velocities through quantitative image analysis

Effects of desloratadine on activated sludge: Behaviour of EPS and sludge properties

The Role of Extracellular Polymeric Substances in Micropollutant Removal

Effect of ibuprofen on extracellular polymeric substances (EPS) production and composition, and assessment of microbial structure by quantitative image analysis

Validation of a quantitative image analysis methodology for the assessment of the morphology and structure of aerobic granular sludge in the presence of pharmaceutically active compounds

Life cycle assessment of bacterial cellulose production

Increased extracellular polymeric substances production contributes for the robustness of aerobic granular sludge during long-term intermittent exposure to 2-fluorophenol in saline wastewater

COVID-19, Chikungunya, Dengue and Zika Diseases: An Analytical Platform Based on MALDI-TOF MS, IR Spectroscopy and RT-qPCR for Accurate Diagnosis and Accelerate Epidemics Control

Collaborators (9)

Miguel Gama

Paula Castro

Adelaide Braga

Pedro Oliveira

Paulo Novais

António Luís Pereira do Amaral

Miguel Rocha

João Capela

Ana S. Oliveira

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