Please login first
José Pires   Dr.  Senior Scientist or Principal Investigator 
Timeline See timeline
José Pires published an article in January 2018.
Top co-authors See all
A. Souza

87 shared publications

Cidade Universitária s/n

Manuel Simões

67 shared publications

Carla Ferreira

58 shared publications

LEPABE, Departamento de Engenharia Química, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal

Carla M. Rodrigues

55 shared publications

Célia Alves

47 shared publications

Universidade do Porto

14
Publications
10
Reads
1
Download
55
Citations
Publication Record
Distribution of Articles published per year 
(2009 - 2018)
Total number of journals
published in
 
12
 
Publications See all
BOOK-CHAPTER 1 Read 0 Citations Process Integration Applied to Microalgal Biofuels Production Alcinda Patrícia De Carvalho Lopes, Francisca Maria Loureiro... Published: 01 January 2018
Energy for Propulsion, doi: 10.1007/978-3-319-69093-3_3
DOI See at publisher website
ABS Show/hide abstract
The rapid development of modern society has resulted in an increased demand for energy and, consequently, an increased use of fossil fuel reserves, compromising the energy sector sustainability. Moreover, the use of this source of energy led to the accumulation of greenhouse gases (GHGs) in atmosphere, which are associated with climate change. In this context, European Union has established new directives regarding GHG emissions and the renewable energy use. Microalgae may have an important role in the achievement of these goals. These photosynthetic microorganisms have a high growth rate, are able to capture CO2, the biomass can be used to produce biofuels, constituting an undeniable economic potential. Microalgae may also be a source of low carbon fuel, being one of the most studied biofuels feedstock. They are considered a sustainable energy resource, able to reduce significantly the dependence on fossil fuel. They can grow on places that are unsuitable for agriculture, not competing with land for food production. The use of wastewater as microalgal culture medium will reduce the required amount of freshwater and nutrients, achieving simultaneously an effluent with low nutrient concentrations. An important step to increase the competitiveness (promoting simultaneously the environmental sustainability) of microalgal biofuels regarding fossil fuels is the optimization of culture parameters using wastewater as culture medium. Thus, this chapter aims to present the recent studies regarding the integration of wastewater treatment and microalgal cultivation for biomass/biofuel production.
CONFERENCE-ARTICLE 4 Reads 0 Citations Time Series Clustering to Estimate Particulate Matter Contributions from Deserts Álvaro Gómez-Losada, José Carlos M. Pires, Rafael Pino-Mejía... Published: 15 July 2016
The 1st International Electronic Conference on Atmospheric Sciences, doi: 10.3390/ecas2016-A002
DOI See at publisher website
ABS Show/hide abstract

Exploratory analysis of time series (TS) data is an important approach in experimental studies, with a large range of applications in many different fields, including air pollution studies. To identify structures in single (univariate) TS, main clustering analyses are based on general-purpose clustering algorithms (e.g., k-means, hierarchical clustering methods) and made the assumption that the samples (data) of a TS are independent, ignoring the correlations in consecutive sample values in time. This is specially the case of air pollutant studies based on monitoring data. Air pollutants TS can be studied using TS clustering techniques and as a result, pollution profiles or concentration regimes detected as well as the dependency structure between consecutive data is preserved. Once TS clustering applied over the TS data stream, a set of clusters group the data according to their similar concentration values, and therefore, different pollution profiles can be defined and their estimated range of concentration values. Hidden Markov Models (HMMs) are flexible general-purpose models for univariate and multivariate TS. The TS data are assumed to have a Markov property, and may be viewed as the results of a probabilistic walk along a fixed set of (no directly observable) states. This class of approach considers that each TS is generated by a mixture of underlying probability distributions, typically the Gaussian ones. In this study, HMMs were applied to cluster daily average particulate matter with aerodynamic diameter of 10 μm or less (PM10) TS collected at background monitoring stations from the Iberian Peninsula and Canarian Archipelago (Spain). As a result, PM10 concentration regimes were studied and in particular, the contribution to PM10 ambient concentration levels from the regimes associated to transport of air masses from North Africa deserts was estimated. Regarding this last contribution, we later compared to those obtained using the monthly moving 40th percentile (P40) method over the same TS and no significant quantitative differences were detected. However, the results obtained with HMMs seem to correct the net load of PM10 given by the P40 method, and attributes less impact on areas suffering greater influence from African episodes. The method proposed in this work to estimate PM10 from deserts could improve the P40 method in two ways since it avoids: (i) the smoothed effect which is implicit in the P40 methods after applying a mobile procedure in the TS treatment; and (ii) the empirical approach based on a correlation analysis applied in order to select this particular percentile (40th). Moreover, the use of statistical replicative techniques (bootstrap) together with HMMs has let to obtain an interval confidence in the PM10 contribution estimates from North African deserts. This methodology may be used to estimate particulate matter contributions from any desert; however, a consensus among experts is required to give the regimes obtained with HMMs a definition.

Article 1 Read 5 Citations The effect of increasing CO 2 concentrations on its capture, biomass production and wastewater bioremediation by microal... Ana L. Gonçalves, Carla M. Rodrigues, José C.M. Pires, Manue... Published: 01 March 2016
Algal Research, doi: 10.1016/j.algal.2016.01.008
DOI See at publisher website
ABS Show/hide abstract
Highlights•Microalgae and cyanobacteria were grown with different CO2-enriched air streams.•Biomass productivities, CO2 fixation rates and nutrients uptake were assessed.•Higher biomass productivities and carbon uptake rates were obtained at 5% (v/v) CO2•Nitrogen and phosphorus removal efficiencies close to 100% were obtained.•Mathematical modelling has determined optimal growth at 4.63 ± 0.71% (v/v) CO2. AbstractThe accumulation of carbon dioxide (CO2) in the atmosphere, as well as the enrichment of water courses in nutrients are environmental issues associated to numerous impacts on ecosystems. Several attempts have been made to address these issues, but the cost and sustainability of current methodologies are still a concern. Cultivation of photosynthetic microorganisms appears as a sustainable solution because: (i) they can effectively uptake CO2 and nutrients, such as nitrogen and phosphorus; and (ii) the resulting biomass can be processed into valuable products. In this study, the effect of different CO2 concentrations (from approximately 0.04 to 10% v/v) on CO2 capture, biomass production and nutrients (nitrogen and phosphorus) uptake was assessed for the microalgae Chlorella vulgaris and Pseudokirchneriella subcapitata and the cyanobacteria Synechocystis salina and Microcystis aeruginosa grown at laboratory scale under batch mode. For the studied range of CO2 concentrations, C. vulgaris, S. salina and M. aeruginosa have reached the highest biomass productivities (0.126 ± 0.033 gdw L− 1 d− 1) and carbon fixation rates (0.101 ± 0.027 gC L− 1 d− 1). These microorganisms have also been effective in nutrients uptake, reaching removal efficiencies close to 100%. Through mathematical modelling, it was possible to conclude that optimal CO2 concentration for these microorganisms was 5.35 ± 0.34% (v/v).
Article 2 Reads 3 Citations Surface physicochemical properties of selected single and mixed cultures of microalgae and cyanobacteria and their relat... Ana L Gonçalves, Carla Ferreira, Joana A Loureiro, José Cm P... Published: 02 May 2015
Bioresources and Bioprocessing, doi: 10.1186/s40643-015-0051-y
DOI See at publisher website
ABS Show/hide abstract
Microalgae are photosynthetic microorganisms presenting a diversity of biotechnological applications. However, microalgal cultivation systems are not energetically and economically feasible. Possible strategies that can be applied to improve the feasibility of microalgal production include biofouling control in photobioreactors, the use of attached growth systems and bioflocculation. These processes are ruled by surface physicochemical properties. Accordingly, the surface physicochemical properties of Chlorella vulgaris, Pseudokirchneriella subcapitata, Synechocystis salina and Microcystis aeruginosa were determined through contact angle and zeta potential measurements. Additionally, mixed cultures of the selected microorganisms were performed. Sedimentation kinetics of the studied cultures was also evaluated to understand how surface physicochemical properties influence microalgal recovery.
Article 1 Read 3 Citations Variation of surface ozone in Campo Grande, Brazil: meteorological effect analysis and prediction J. C. M. Pires, A. Souza, H. G. Pavão, Fernando Martins Published: 23 May 2014
Environmental Science and Pollution Research, doi: 10.1007/s11356-014-2977-6
DOI See at publisher website
PubMed View at PubMed
ABS Show/hide abstract
The effect of meteorological variables on surface ozone (O3) concentrations was analysed based on temporal variation of linear correlation and artificial neural network (ANN) models defined by genetic algorithms (GAs). ANN models were also used to predict the daily average concentration of this air pollutant in Campo Grande, Brazil. Three methodologies were applied using GAs, two of them considering threshold models. In these models, the variables selected to define different regimes were daily average O3 concentration, relative humidity and solar radiation. The threshold model that considers two O3 regimes was the one that correctly describes the effect of important meteorological variables in O3 behaviour, presenting also a good predictive performance. Solar radiation, relative humidity and rainfall were considered significant for both O3 regimes; however, wind speed (dispersion effect) was only significant for high concentrations. According to this model, high O3 concentrations corresponded to high solar radiation, low relative humidity and wind speed. This model showed to be a powerful tool to interpret the O3 behaviour, being useful to define policy strategies for human health protection regarding air pollution.
Article 1 Read 27 Citations Wastewater treatment to enhance the economic viability of microalgae culture J. C. M. Pires, M. C. M. Alvim-Ferraz, Fernando Martins, Man... Published: 15 May 2013
Environmental Science and Pollution Research, doi: 10.1007/s11356-013-1791-x
DOI See at publisher website
PubMed View at PubMed
ABS Show/hide abstract
Microalgae culture is still not economically viable and it presents some negative environmental impacts, concerning water, nutrient and energy requirements. In this context, this study aims to review the recent advances on microalgal cultures in wastewaters to enhance their economic viability. We focused on three different culture concepts: (1) suspended cell systems, (2) cell immobilization, and (3) microalgae consortia. Cultures with suspended cells are the most studied. The nutrient removal efficiencies are usually high for wastewaters of different sources. However, biomass harvesting is difficult and a costly process due to the small cell size and lower culture density. On the other hand, the cell immobilization systems showed to be the solution for this problem, having as main limitation the nutrient diffusion from bulk to cells, which results in a reduced nutrient removal efficiency. The consortium between microalgae and bacteria enhances the growth of both microorganisms. This culture concept showed to be a promising technology to improve wastewater treatment, regarding not only nutrient removal but also biomass harvesting by bioflocculation. The aggregation mechanism must be studied in depth to find the process parameters that would lead to an effective and cheap harvesting process.