Energy requirements for the continuous biohydrogen production from Spirogyra biomass in a sequential batch reactor

The current energy market requires urgent revision for the introduction of renewable, less-polluting and inexpensive energy sources. Biohydrogen (bioH2) is considered to be one of the most appropriate options for this model shift, being easily produced through the anaerobic fermentation of carbohydrate-containing biomass. Ideally, the feedstock should be low-cost, widely available and convertible into a product of interest. Microalgae are considered to possess the referred properties, being also highly valued for their capability to assimilate CO2 [1]. The microalga Spirogyra sp. is able to accumulate high concentrations of intracellular starch, a preferential carbon source for some bioH2 producing bacteria such as Clostridium butyricum [2]. In the present work, Spirogyra biomass was submitted to acid hydrolysis to degrade polymeric components and increase the biomass fermentability. Initial tests of bioH2 production in 120 mL reactors with C. butyricum yielded a maximum volumetric productivity of 141 mL H2/L.h and a H2 production yield of 3.78 mol H2/mol consumed sugars. Subsequently, a sequential batch reactor (SBR) was used for the continuous H2 production from Spirogyra hydrolysate. After 3 consecutive batches, the fermentation achieved a maximum volumetric productivity of 324 mL H2/L.h, higher than most results obtained in similar production systems [3] and a potential H2 production yield of 10.4 L H2/L hydrolysate per day. The H2 yield achieved in the SBR was 2.59 mol H2/mol, a value that is comparable to those attained with several thermophilic microorganisms [3], [4]. In the present work, a detailed energy consumption of the microalgae value-chain is presented and compared with previous results from the literature. The specific energy requirements were determined and the functional unit considered was gH2 and MJH2. It was possible to identify the process stages responsible for the highest energy consumption during bioH2 production from Spirogyra biomass for further optimisation

Virulence of Listeria monocytogenes isolated from the cheese dairy environment, other foods and clinical cases

The virulence potential of 51 Listeria monocytogenes isolates, including strains from cheese, cheese production environments and from human cases of listeriosis, was evaluated in this study. The isolates were used to infect HT-29 cell monolayers in an in vitro test of virulence, based on a plaque-forming assay (PFA). Fifteen selected isolates were used for subcutaneous footpad inoculation in mice and subsequent recovery of the bacterium from the spleen 3 days after inoculation. In the PFA, two isolates from milk (serovar 1/2a) were not significantly different (P,0.05) from the low-virulence strain (442) used as reference. Thirty-three isolates were not significantly different (P,0.05) from the virulent strain (EGDe) used as reference. Nine isolates were significantly more virulent (highly virulent) than the EGDe strain and seven isolates were significantly less virulent. The nine highly virulent isolates were either from humans (four), from cheese dairy environments (two isolates of a strain were found persistently in two dairies), from cheese (one), from milk (one) and the reference strain for serovar 1/2b (CECT 936). The two milk isolates with low virulence in the PFA were found to be virulent in mice. In conclusion, all the isolates from food and food-related environments were potentially virulent or highly virulent. These results stress the risk of listeriosis associated with the consumption of cheese contaminated with L. monocytogenes, and once more emphasize the importance of good manufacturing practices (GMPs) together with sanitation standard operating procedures (SSOPs) throughout the food chain

From Sound Perception to Automatic Detection of Schizophrenia: An EEG-Based Deep Learning Approach

Deep learning techniques have been applied to electroencephalogram (EEG) signals, with promising applications in the field of psychiatry. Schizophrenia is one of the most disabling neuropsychiatric disorders, often characterized by the presence of auditory hallucinations. Auditory processing impairments have been studied using EEG-derived event-related potentials and have been associated with clinical symptoms and cognitive dysfunction in schizophrenia. Due to consistent changes in the amplitude of ERP components, such as the auditory N100, some have been proposed as biomarkers of schizophrenia. In this paper, we examine altered patterns in electrical brain activity during auditory processing and their potential to discriminate schizophrenia and healthy subjects. Using deep convolutional neural networks, we propose an architecture to perform the classification based on multi-channels auditory-related EEG single-trials, recorded during a passive listening task. We analyzed the effect of the number of electrodes used, as well as the laterality and distribution of the electrical activity over the scalp. Results show that the proposed model is able to classify schizophrenia and healthy subjects with an average accuracy of 78% using only 5 midline channels (Fz, FCz, Cz, CPz, and Pz). The present study shows the potential of deep learning methods in the study of impaired auditory processing in schizophrenia with implications for diagnosis. The proposed design can provide a base model for future developments in schizophrenia research.info:eu-repo/semantics/publishedVersio

Book of Abstracts of 11th Iberian Conference on Tribology

info:eu-repo/semantics/publishedVersio

Energetic and environmental evaluation of microalgae biomass fermentation for biohydrogen production

This paper presents an energetic and environmental evaluation of the fermentative hydrogen production from the sugars of Scenedesmus obliquus biomass hydrolysate by Clostridium butyricum. The main purpose of this work was to evaluate the potential of H2 production and respective energy consumptions and CO2 emissions in the global fermentation process: hydrolysis of S. obliquus biomass, preparation of the fermentation medium, degasification and incubation. The scale-up to industrial production was not envisaged. Energy consumption and CO2 emissions estimations were based on SimaPro 7.1 software for the preparation of the fermentation medium and the use of degasification gas, nitrogen. The functional unit of energy consumption and CO2 emissions was defined as MJ and grams per 1 MJ of H2 produced, respectively. The electricity consumed in all hydrogen processes was assumed to be generated from the Portuguese electricity production mix. The hydrogen yield obtained in this work was 2.9 ± 0.3 mol H2/mol sugars in S. obliquus hydrolysate. Results show that this process of biological production of hydrogen consumed 281-405 MJ/MJH2 of energy and emitted 24-29 kgCO2/ MJH2. The fermentation stages with the highest values of energy consumption and CO2 emissions were identified for future energetic and environmental process optimisation

Post-stroke patients functional task characterization through accelerometry data for rehabilitation intervention and monitoring

An increasing ageing society and consequently rising number ofpost-stroke related neurological dysfunction patients are forcing therehabilitation field to adapt to ever-growing demands. Compensatorymovements related to available motor strategies, can be observed inpost-stroke patients when performing functional tasks due to apathological synergy as in reaching for an object. Studies of post-strokemotor recovery suggest that such maladaptive strategies may limit theplasticity of the nervous system to enhance neuromotor recovery.Strategies for rehabilitation protocols monitoring and validation arepresently a necessity, moreover considering data recording is oftenabsent of the rehabilitation process or subjective in nature.Characterization strategies of patient performance during functional taskare key aspects for clinical protocols validation, progress monitoring andmethodologies comparison. This project seeks to characterize patientsupper limb performance through accelerometry, gathered with a lowcostwearable system, for compensatory movement avoidance throughfeedback response

Nannochloropsis oceanica as a sustainable source of n-3 polyunsaturated fatty acids for enrichment of hen eggs

This study aimed to evaluate the potential of the marine microalgae Nannochloropsis oceanica as a sustainable source of n-3 polyunsaturated fatty acids (n-3 PUFA) for hen eggs enrichment. During 4 weeks, hens were fed with 3% (w/w) of Nannochloropsis oceanica supplemented diet. Throughout the assay, eggs were analyzed according to several nutritional and physical parameters, namely: (i) protein, fat, and ash content; (ii) fatty acid profile; (iii) thickness and colour of the shell; (iv) total egg weight; (v) protein quality (HU) and (vi) yolk colour. A remarkable increase in eicosapentaenoic (EPA), from 2.1 ± 0.1 to 5.2 ± 1.2 mg/100 g, and docosahexaenoic (DHA), from 50.3 ± 4.0 to 105 ± 18 mg/100 g, fatty acids was observed. Yolk colour also changed significantly according to the La Roche scale, from 9.6 ± 0.8 to 11.4 ± 0.8 (more orange). Feed supplementation did not lead to changes in the remaining analyzed parameters. A shelf life study, carried out for 28 days at room temperature, showed a decrease in eggs protein quality. In conclusion, eggs from hens fed with Nannochloropsis oceanica had a yolk colour more appealing to consumers and higher levels of EPA and DHA, allowing its classification as high in n-3 PUFA (CE nº 1924/2006).info:eu-repo/semantics/publishedVersio

Source apportionment of PM2.5 in the pre-pandemic versus pandemic period in an area near Lisbon: lessons for air quality management

Trabalho apresentado em European Aerosol Conference - EAC2023, 3-8 setembro 2023, Málaga, EspanhaN/

Natural resources with sweetener power: phytochemistry and antioxidant characterisation of Stevia Rebaudiana (Bert.), sensorial and centesimal analyses of lemon cake recipes with S. Rebaudiana incorporation

Stevia rebaudiana leaf extracts are calorie-free sweeteners of natural origin, derived from the Stevia rebaudiana plant known as a natural sweetener, which contains steviol glycosides and others bioactive compounds recognized by their biological properties. The present study was designed to evaluate the total phenolics (26.0 mg gallic acid/g) and total flavonoids contents (9.7 mg catechin/g) of a hydroalcoholic extract of Stevia rebaudiana dried leaves. A similar hydroalcoholic extract of commercial powder steviol sweetener was also evaluated, showing lower contents of bioactive compounds (11.9 mg/g and 5.1 mg/g, for total phenolics and flavonoids, respectively). The hydroalcoholic extract of dried Stevia rebaudiana leaves also showed high in vitro antioxidant activity, besides a positive correlation between total phenolic compounds and the DPPH and FRAP assays. Moreover, Stevia rebaudiana leaves have sensory and functional properties superior to those of many other high-potency sweeteners and is likely to become a major source of natural sweetener for the growing food market. Thus, four different lemon cakes formulations were studied (a traditional cake control recipe with sugar, two cakes with incorporation of Stevia rebaudiana fresh leaf and a cake with commercial powder steviol), using a sensory analysis covering 100 untrained consumers. Centesimal composition analyses of the four lemon cakes showed significant differences in fat, ashes, proteins and carbohydrates contents (p<0.05). Also, the raised energy value observed for the cake control was superior to the cake with Stevia rebaudiana leaves incorporation (309.8 Kcal/100 g, 268.0 Kcal/100 g,142 respectively). Sensorial analysis results showed that Stevia rebaudiana leaves were accepted and, in the future, they can be a natural option to replace some or all the saccharose in cakes formulations.info:eu-repo/semantics/publishedVersio