Inexact-aware architecture design for ultra-low power bio-signal analysis

This study introduces an inexact, but ultra-low power, computing architecture devoted to the embedded analysis of bio-signals. The platform operates at extremely low voltage supply levels to minimise energy consumption. In this scenario, the reliability of static RAM (SRAM) memories cannot be guaranteed when using conventional 6-transistor implementations. While error correction codes and dedicated SRAM implementations can ensure correct operations in this near-threshold regime, they incur in significant area and energy overheads, and should therefore be employed judiciously. Herein, the authors propose a novel scheme to design inexact computing architectures that selectively protects memory regions based on their significance, i.e. their impact on the end-to-end quality of service, as dictated by the bio-signal application characteristics. The authors illustrate their scheme on an industrial benchmark application performing the power spectrum analysis of electrocardiograms. Experimental evidence showcases that a significance-based memory protection approach leads to a small degradation in the output quality with respect to an exact implementation, while resulting in substantial energy gains, both in the memory and the processing subsystem.

An optimized process design for oxymethylene ether production from woody-biomass-derived syngas

The conversion of biomass for the production of liquid fuels can help reduce the greenhouse gas (GHG) emissions that are predominantly generated by the combustion of fossil fuels. Oxymethylene ethers (OMEs) are a series of liquid fuel additives that can be obtained from syngas, which is produced from the gasification of biomass. The blending of OMEs in conventional diesel fuel can reduce soot formation during combustion in a diesel engine. In this research, a process for the production of OMEs from woody biomass has been simulated. The process consists of several unit operations including biomass gasifi- cation, syngas cleanup, methanol production, and conversion of methanol to OMEs. The methodology involved the development of process models, the identification of the key process parameters affecting OME production based on the process model, and the development of an optimal process design for high OME yields. It was found that up to 9.02 tonnes day1 of OME3, OME4, and OME5 (which are suitable as diesel additives) can be produced from 277.3 tonnes day1 of wet woody biomass. Furthermore, an optimal combination of the parameters, which was generated from the developed model, can greatly enhance OME production and thermodynamic efficiency. This model can further be used in a techno- economic assessment of the whole biomass conversion chain to produce OMEs. The results of this study can be helpful for petroleum-based fuel producers and policy makers in determining the most attractive pathways of converting bio-resources into liquid fuels.

Techno-Economic Feasibility of Selective CO2 Capture Processes from Biogas Streams using Ionic Liquids as Physical Absorbents

Biogas from anaerobic digestion of sewage sludge is a renewable resource with high energy content, which is formed mainly of CH4 (40-75 vol.%) and CO2 (15-60 vol.%) Other components such as water (H2O, 5-10 vol.%) and trace amounts of hydrogen sulfide and siloxanes can also be present. A CH4-rich stream can be produced by removing the CO2 and other impurities so that the upgraded bio-methane can be injected into the natural gas grid or used as a vehicle fuel. The main objective of this paper is to develop a new modeling methodology to assess the technical and economic performance of biogas upgrading processes using ionic liquids which physically absorb CO2. Three different ionic liquids, namely the 1-ethyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide, 1-hexyl-3-methylimidazoliumbis[(trifluoromethyl)sulfonyl]imide and trihexyl(tetradecyl)phosphonium bis[(trifluoromethyl)sulfonyl]imide, are considered for CO2 capture in a pressure-swing regenerative absorption process. The simulation software Aspen Plus and Aspen Process Economic Analyzer is used to account for mass and energy balances as well as equipment cost. In all cases, the biogas upgrading plant consists of a multistage compressor for biogas compression, a packed absorption column for CO2 absorption, a flash evaporator for solvent regeneration, a centrifugal pump for solvent recirculation, a pre-absorber solvent cooler and a gas turbine for electricity recovery. The evaluated processes are compared in terms of energy efficiency, capital investment and bio-methane production costs. The overall plant efficiency ranges from 71-86 % whereas the bio-methane production cost ranges from £6.26-7.76 per GJ (LHV). A sensitivity analysis is also performed to determine how several technical and economic parameters affect the bio-methane production costs. The results of this study show that the simulation methodology developed can predict plant efficiencies and production costs of large scale CO2 capture processes using ionic liquids without having to rely on gas solubility experimental data.

Bioethanol production from a sub-product of pulping industry

A vida da sociedade atual é dependente dos recursos fósseis, tanto a nível de energia como de materiais. No entanto, tem-se verificado uma redução das reservas destes recursos, ao mesmo tempo que as necessidades da sociedade continuam a aumentar, tornando cada vez mais necessárias, a produção de biocombustíveis e produtos químicos. Atualmente o etanol é produzido industrialmente a partir da cana-de-açúcar e milho, matérias-primas usadas na alimentação humana e animal. Este fato desencadeou o aumento de preços dos alimentos em todo o mundo e, como consequência, provocou uma série de distúrbios sociais. Os subprodutos industriais, recursos independentes das cadeias alimentares, têm-se posicionado como fonte de matérias-primas potenciais para bioprocessamento. Neste sentido, surgem os subprodutos gerados em grande quantidade pela indústria papeleira. Os licores de cozimento da madeira ao sulfito ácido (SSLs) são uma matériaprima promissora, uma vez que durante este processo os polissacarídeos da madeira são hidrolisados originando açúcares fermentáveis. A composição dos SSLs varia consoante o tipo de madeira usada no processo de cozimento (de árvores resinosas, folhosas ou a mistura de ambas). O bioprocessamento do SSL proveniente de folhosas (HSSL) é uma metodologia ainda pouco explorada. O HSSL contém elevadas concentrações de açúcares (35-45 g.L-1), na sua maioria pentoses. A fermentação destes açúcares a bioetanol é ainda um desafio, uma vez que nem todos os microrganismos são capazes de fermentar as pentoses a etanol. De entre as leveduras capazes de fermentar naturalmente as pentoses, destaca-se a Scheffersomyces stipitis, que apresenta uma elevada eficiência de fermentação. No entanto, o HSSL contém também compostos conhecidos por inibirem o crescimento de microrganismos, dificultando assim o seu bioprocessamento. Neste sentido, o principal objetivo deste trabalho foi a produção de bioetanol pela levedura S. stipitis a partir de HSSL, resultante do cozimento ao sulfito ácido da madeira de Eucalyptus globulus. Para alcançar este objetivo, estudaram-se duas estratégias de operação diferentes. Em primeiro lugar estudou-se a bio-desintoxicação do HSSL com o fungo filamentoso Paecilomyces variotii, conhecido por crescer em resíduos industriais. Estudaram-se duas tecnologias fermentativas diferentes para a biodesintoxicação do HSSL: um reator descontínuo e um reator descontínuo sequencial (SBR). A remoção biológica de inibidores do HSSL foi mais eficaz quando se usou o SBR. P. variotii assimilou alguns inibidores microbianos como o ácido acético, o ácido gálico e o pirogalol, entre outros. Após esta desintoxicação, o HSSL foi submetido à fermentação com S. stipitis, na qual foi atingida a concentração máxima de etanol de 2.36 g.L-1 com um rendimento de 0.17 g.g-1. P. variotti, além de desintoxicar o HSSL, também é útil na produção de proteína microbiana (SCP) para a alimentação animal pois, a sua biomassa é rica em proteína. O estudo da produção de SCP por P. variotii foi efetuado num SBR com HSSL sem suplementos e suplementado com sais. A melhor produção de biomassa foi obtida no HSSL sem adição de sais, tendo-se obtido um teor de proteína elevado (82,8%), com uma baixa concentração de DNA (1,1%). A proteína continha 6 aminoácidos essenciais, mostrando potencial para o uso desta SCP na alimentação animal e, eventualmente, em nutrição humana. Assim, a indústria papeleira poderá integrar a produção de bioetanol após a produção SCP e melhorar a sustentabilidade da indústria de pastas. A segunda estratégia consistiu em adaptar a levedura S. stipitis ao HSSL de modo a que esta levedura conseguisse crescer e fermentar o HSSL sem remoção de inibidores. Operou-se um reator contínuo (CSTR) com concentrações crescentes de HSSL, entre 20 % e 60 % (v/v) durante 382 gerações em HSSL, com uma taxa de diluição de 0.20 h-1. A população adaptada, recolhida no final do CSTR (POP), apresentou uma melhoria na fermentação do HSSL (60 %), quando comparada com a estirpe original (PAR). Após esta adaptação, a concentração máxima de etanol obtida foi de 6.93 g.L-1, com um rendimento de 0.26 g.g-1. POP possuía também a capacidade de metabolizar, possivelmente por ativação de vias oxidativas, compostos derivados da lenhina e taninos dissolvidos no HSSL, conhecidos inibidores microbianos. Por fim, verificou-se também que a pré-cultura da levedura em 60 % de HSSL fez com que a estirpe PAR melhorasse o processo fermentativo em HSSL, em comparação com o ensaio sem pré-cultura em HSSL. No entanto, no caso da estirpe POP, o seu metabolismo foi redirecionado para a metabolização dos inibidores sendo que a produção de etanol decresceu.

A computational study of ionic liquids used in the production of fuels and biofuels

For the past decades it has been a worldwide concern to reduce the emission of harmful gases released during the combustion of fossil fuels. This goal has been addressed through the reduction of sulfur-containing compounds, and the replacement of fossil fuels by biofuels, such as bioethanol, produced in large scale from biomass. For this purpose, a new class of solvents, the Ionic Liquids (ILs), has been applied, aiming at developing new processes and replacing common organic solvents in the current processes. ILs can be composed by a large number of different combinations of cations and anions, which confer unique but desired properties to ILs. The ability of fine-tuning the properties of ILs to meet the requirements of a specific application range by mixing different cations and anions arises as the most relevant aspect for rendering ILs so attractive to researchers. Nonetheless, due to the huge number of possible combinations between the ions it is required the use of cheap predictive approaches for anticipating how they will act in a given situation. Molecular dynamics (MD) simulation is a statistical mechanics computational approach, based on Newton’s equations of motion, which can be used to study macroscopic systems at the atomic level, through the prediction of their properties, and other structural information. In the case of ILs, MD simulations have been extensively applied. The slow dynamics associated to ILs constitutes a challenge for their correct description that requires improvements and developments of existent force fields, as well as larger computational efforts (longer times of simulation). The present document reports studies based on MD simulations devoted to disclose the mechanisms of interaction established by ILs in systems representative of fuel and biofuels streams, and at biomass pre-treatment process. Hence, MD simulations were used to evaluate different systems composed of ILs and thiophene, benzene, water, ethanol and also glucose molecules. For the latter molecules, it was carried out a study aiming to ascertain the performance of a recently proposed force field (GROMOS 56ACARBO) to reproduce the dynamic behavior of such molecules in aqueous solution. The results here reported reveal that the interactions established by ILs are dependent on the individual characteristics of each IL. Generally, the polar character of ILs is deterministic in their propensity to interact with the other molecules. Although it is unquestionable the advantage of using MD simulations, it is necessary to recognize the need for improvements and developments of force fields, not only for a successful description of ILs, but also for other relevant compounds such as the carbohydrates.

Hygric properties of hemp bio-insulations with differing compositions

The paper presents the results of a laboratory investigation on the hygric properties of five hemp insulation materials commercially available in the UK. The hemp fibre content varies between 30-95% in the total fibre content of the insulation materials examined. The adsorption-desorption isotherm, moisture buffer value, vapour diffusion resistance factor and water absorption coefficient were determined for the insulation materials investigated. The results showed that the hygric properties of the hemp insulation materials could vary widely depending on the constituents and fibrous structure. The considerable differences noted in the hygric properties of the insulation materials examined could potentially influence their hygrothermal performance as part of a building thermal envelope.

Bio-removal of toxic metals by metal resistant anaerobic bacteria: molecular characterization and performance studies

Tese de dout., Ciências Biotecnológicas (Biotecnologia Ambiental), Faculdade de Ciências e Tecnologia, Univ. do Algarve, 2010

Bio-synthesis of nanosized semiconductors using mine wastes as material sources

This work describes the synthesis of nanosized metal sulfides and respective SiO2 and/or TiO2 composites in high yield via a straightforward process, under ambient conditions (temperature and pressure), by adding to aqueous metals a nutrient solution containing biologically generated sulfide from sulfate-reducing bacteria (SRB). The nanoparticles‘ (NPs) morphological properties were shown not to be markedly altered by the SRB growth media composition neither by the presence of bacterial cells. We further extended the work carried out, using the effluent of a bioremediation system previously established. The process results in the synthesis of added value products obtained from metal rich effluents, such as Acid Mine Drainage (AMD), when associated with the bioremediation process. Precipitation of metals using sulfide allows for the possibility of selective recovery, as different metal sulfides possess different solubilities. We have evaluated the selective precipitation of CuS, ZnS and FeS as nanosized metal sulfides. Again, we have also tested the precipitation of these metal sulfides in the presence of support structures, such as SiO2. Studies were carried out using both artificial and real solutions in a continuous bioremediation system. We found that this method allowed for a highly selective precipitation of copper and a lower selectivity in the precipitation of zinc and iron, though all metals were efficiently removed (>93% removal). This research has also demonstrated the potential of ZnS-TiO2 nanocomposites as catalysts in the photodegradation of organic pollutants using the cationic dye, Safranin-T, as a model contaminant. The influence of the catalyst amount, initial pH and dye concentration were also evaluated. Finally, the efficiency of the precipitates as catalysts in sunlight mediated photodegradation was investigated, using different volumes of dye-contaminated water (150 mL and 10 L). This work demonstrates that all tested composites have the potential to be used as photocatalysts for the degradation of Safranin-T.

Enhanced bio-decolourisation of acid orange 7 by Shewanella oneidensis through co-metabolism in a microbial fuel cell

The decolourisation of acid orange 7 (AO7) (C.I.15510) through co-metabolism in a microbial fuel cell by Shewanella oneidensis strain 14063 was investigated with respect to the kinetics of decolourisation, extent of degradation and toxicity of biotransformation products. Rapid decolourisation of AO7 (>98% within 30 h) was achieved at all tested dye concentrations with concomitant power production. The aromatic amine degradation products were recalcitrant under tested conditions. The first-order kinetic constant of decolourisation (k) decreased from 0.709 ± 0.05 h−1 to 0.05 ± 0.01 h−1 (co-substrate – pyruvate) when the dye concentration was raised from 35 mg l−1 to 350 mg l−1. The use of unrefined co-substrates such as rapeseed cake, corn-steep liquor and molasses also indicated comparable or better AO7 decolourisation kinetic constant values. The fully decolourised solutions indicated increased toxicity as the initial AO7 concentration was increased. This work highlights the possibility of using microbial fuel cells to achieve high kinetic rates of AO7 decolourisation through co-metabolism with concomitant electricity production and could potentially be utilised as the initial step of a two stage anaerobic/aerobic process for azo dye biotreatment.