M. Teresa Moreira

Assessing relationships among life-cycle environmental impacts with dimension reduction techniques

Nowadays, there is a trend in many countries towards more environmentally benign products and processes. Life-Cycle Assessment (LCA) is a quantitative analysis tool developed and utilized for the evaluation of environmental impacts occurring throughout the entire life-cycle of a product, process or activity. LCA requires a large amount of data in its different phases and can also generate large amounts of results which may be hard to interpret. In order to uncover and visualize the structure of large multidimensional data sets, Multivariate Analysis techniques can help. Hence, in this paper, a methodology using Principal Component Analysis and Multi-Dimensional Scaling is proposed and illustrated by means of two case studies. The first case study evaluates the operation of several wastewater treatment plants. The second case study deals with the environmental evaluation of the cultivation, processing and consumption of mussels. In both case studies, the redundancy present in the data allowed a dimensionality reduction from seven and ten to two dimensions, with a small loss of information. Plotting the environmental impact data in these two dimensions can help visualize, interpret and communicate them.

Strategies for the design and operation of enzymatic reactors for the degradation of highly and poorly soluble recalcitrant compounds

The presence of recalcitrant compounds in both wastewaters and soils is an important environmental problem. Oxidative enzymes from white-rot fungi have been successfully utilised for the in vitro degradation of xenobiotics, such as the azo dye Orange II and the polycyclic aromatic hydrocarbon anthracene (compounds with high and low solubilities, respectively). Two different reactor configurations are proposed: (i) an enzymatic membrane reactor for the treatment of soluble compounds, consisting of a continuous stirred tank reactor coupled to an ultrafiltration membrane to facilitate the retention and recycling of enzyme; and (ii) a two-phase enzymatic reactor for the degradation of poorly soluble compounds, consisting of an immiscible solvent, which contains the contaminant at high concentrations, and the aqueous phase containing the enzyme and cofactors involved in the catalytic cycle. In this paper, factors affecting the design and operation of both systems are discussed, and experimental results concerning the efficiency and stability of the processes are presented.

Application of response surface methodology to study the removal of estrogens in a laccase-mediated continuous membrane reactor

Abstract A three-level Box–Behnken factorial design combined with response surface methodology (RSM) was applied as a tool to study the laccase-catalyzed removal of three estrogenic compounds: estrone (E1), estradiol (E2), and ethinylestradiol (EE2), in a continuous enzymatic membrane reactor (EMR). Three main factors affecting the treatment efficiency were considered: enzyme activity, hydraulic residence time (HRT) and oxygenation rate. As expected, laccase activity and HRT showed large effects and, interestingly, the relevance of oxygen in improving the oxidation kinetics through raising the dissolved oxygen above saturation levels was demonstrated. When considering elimination rates as the response, optimal conditions were: 1,000 U/L of laccase, 1 h HRT and 60 mgO2/(L·h) of oxygenation rate, predicting 2.82–3.24 mg eliminated/(L·h), (71–81% of oxidation). These optimum conditions were successfully validated, and 75% of estrogenicity reduction was achieved. On the other hand, only 100 U/L were found as optimal to maximize the efficacy of the enzyme: E1 was oxidized by 0.06 mg/(L·h·U), although the removal of estrogenicity decreased to 60%. The methodology was also applied to maximize the reduction of estrogenic activity: the highest values assayed [1,000 U/L, HRT 4 h and 60 mgO2/(L·h)] provided 99% detoxification.