1,280 research outputs found

    Development of advanced analytical methods for the determination of emerging pollutants in environmental waters

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    This thesis work was focused on the analytical determination of emerging pollutants in environmental water matrix, concerning preparative step and analysis using Gas Chromatography coupled with Mass Spectrometry (GCMS). The emerging pollutants are so defined because they have been recognized only recently as pollutants and regulatory and monitoring plans are not yet implemented at Italian and European level. Pharmaceuticals and Personal Care Products (PPCPs) are considered emerging contaminants, they describe a large class of chemical contaminants that can originate from human usage and excretions and veterinary applications. There are a large number of different substances used as medicines, during and after treatment, humans and animals excrete a combination of intact and metabolised pharmaceuticals, many of which are generally soluble in water and have been discharged to the aquatic environment with little evaluation of possible risks or consequences to humans and environment. In addition, the chemicals that are components of personal care products (PCPs) number in the thousands, the world’s people consume enormous quantities of skin care products, dental care products, soaps, sunscreen agents, and hair styling products. PCPs continuously enter the wastewater after their regular use during showering or bathing. Recent studies indicate the potential widespread occurrence on low-level concentrations (ng-μg/L) of PPCPs in the aquatic environment. Therefore, there’s critical need for efficient and reliable analytical methods to address the occurrence concentrations, and fate of the PPCPs in environment. GC-MS has been the basic tool for environmental analyses of various organic pollutants and it has been the approach of this study choice because of its superior separation and identification capabilities. The activity has been concentrated on the development of sample preparation procedures that could be fast, cost-effective and environmentfriendly for the analysis of PPCPs. It’s known that sample pre-treatment causes an analysis bottleneck that typically accounts for over 60% of the total analysis time. The work was focused on evaluation and optimization of different extraction techniques for treatment of water matrix. There are fundamentally two kinds of approach for parameters optimization. One Factor At Time (OFAT) method involves the testing of factors, or causes, one at a time instead of all factors are changed at once. Even more people, prominent text books and academic papers currently favour design of experiments (DOE) approach; it’s a statistically multivariate method for screening and/or optimization of different factors at the same time (multiple factors are changed at once). It shows several relevant advantages over OFAT approach: it requires less runs for the same (sometimes more) precision in effect estimation, it can estimate interactions and it provides a knowledge (and optimal settings of factors) in the whole experimental domain, where OFAT can miss them. For these reasons this approach was chosen for several published works, using in particular Central Composite Design (CCD) or Box-Behnken Design (BBD). Two different extraction procedure have been studied: Solid Phase Extraction (SPE) and Solid Phase Micro Extraction (SPME). The first technique was evaluated in order to optimize extraction step of 25 PCPs, including fragrances, PAHs, antioxidants, UV-filters, plasticizers, and pesticides, from water, using OFAT approach. The optimized parameters were different: SPE sorbent, type and volume of eluent, elution rate, and evaporation procedure. The better recovery yield considering the totality of PCPs were found extracting with a Strata-X SPE cartridge, using a volume of 15 mL of Ethyl Acetate as solvent, operating with slow flow rate, and evaporating at 40°C of temperature. Under these con ditions the procedure achieves a recovery higher than 70% for most PCPs investigated (with LOD ranged from 5 to 10 pg injected on GC), this result makes the developed method suitable for comprehensive chemical profiling of PCPs in various aqueous matrices. It is clear that higher recovery values can be achieved only for selected PCPs using specific target-compound methods. That it was done for method optimization for determination of two synthetic phenolic antioxidants and their five main metabolites in water. This is the first published method dedicated solely to the determination of this chemical class in water samples. The methodology was developed using SPE approach with derivatization before GC-MS analysis. Extraction on 10 mg Oasis HLB cartridges provides a satisfactory enrichment factor for environmental samples avoiding the need of solvent evaporation and reducing SPE costs and organic solvent wastes. After extraction, polar metabolites are derivatized with MTBSTFA to produce stable, less polar analytes that are determined by GC-MS at low levels. The usage of two surrogate internal standards results in a method providing good accuracy, with relative recoveries between 80 and 110%, and limits of detection (2-44 ng/L). The application of the method to wastewater and river samples showed BHT and BHT-Q as the compounds in higher concentrations in wastewater (up to 800 ng/L) and the metabolites BHT-CHO and BHTCOOH as the most resistant to water treatment, being at the 10-100 ng/L in sewage and river samples. In this work the optimization was done with an experimental design approach, using a Box-Behnken design (BBD). This work was developed in collaboration with University of Santiago de Compostela (E). SPME technique was investigated in order to extract a mixture of several PCPs, evaluating extraction time and temperature and desorption time and temperature. A simple SPME method has been developed for the simultaneous GC-MS determination of 23 PCPs (i.e. antioxidants, PAHs, UV-filters, pesticides, fragrances, plasticizers, that display log Kow values > 3.2) at trace levels in water. An Inscribed Central Composite (CCI) design approach was employed for investigate extraction temperature and time, and desorption temperature and time. A direct immersion mode was used for extraction from a fixed sample volume. The optimum SPME operating conditions have been defined as: extraction time of 90 min at a temperature of 80°C, desorption time of 11 min at 260°C. Under these conditions the procedure provides low detection limits (<= ppb) and satisfactory reproducibility (RSD%<=1%) for most of the PCPs investigated. The analysis was then extended to more polar compounds, for a total of 21 PPCPs that display a range of log Kow between 1.2 and 6.4 (i.e. antiseptic, antinflammatory drugs, estrogens, UV-filters) with the necessity of derivatize the compounds before GC analysis. A on-fiber after extraction approach was chosen for SPME derivatization, using silylation agent. The derivatization can be performed in only 30.5 minutes with a very small consumption of silylation reagent and without need of high temperature. Under the optimized conditions of extraction, derivatization and desorption, the procedure provides low detection limits (<= 1 ppb for the non polar analytes and <=35 ppb for the derivatized ones) and satisfactory reproducibility (RSD% <=10% or 20%) for most of the PPCPs investigated. The PhD project, in his totality, was a logic progressive work, expanding the study in term of kind of analytes studied, extraction techniques and optimization approach. A preliminary and careful study was carried out in order to properly understand the current situation and the possible research developments of interest. The study was initially focused on less polar analytes (PCPs), then extending to more polar ones (PPCPs). It was firstly took in consideration the SPE technique, going to more innovative and preferable on several points of view SPME. The expanded range (in particular polarity range) of analytes makes necessary a derivatization step before GC-MS analysis, for these reason the subsequent step was the optimization of a method that includes SPME-derivatization. Also considering the optimization approach, the work started using OFAT optimization, this approach was left after the first work for the more accurate and precise DOE. These works led to development of multiresidual analytical method suitable for the comprehensive analysis of this kind of pollutants in water matrix. These methodologies may be the basis of water monitoring for temporal and spatial changes

    Geant4 Maintainability Assessed with Respect to Software Engineering References

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    We report a methodology developed to quantitatively assess the maintainability of Geant4 with respect to software engineering references. The level of maintainability is determined by combining a set of metrics values whose references are documented in literature.Comment: 5 pages, 2 figures, 4 tables, IEEE NSS/MIC 201

    Poly(hydroxyalkanoate) production by Cupriavidus necator from fatty waste can be enhanced by phaZ1 inactivation

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    PHA production from waste oils or fats requires microorganisms that should be both excellent PHA producers and equipped with enzymatic activities allowing hydrolysation of triglycerides. Unfortunately, microbes with the combination of substrate-utilization and PHA production are not currently available, and the strategies to be adopted are the use of costly commercial enzymes, or genetic modification of microorganisms exhibiting high PHA product yields. In the present work, after a general investigation on the ability of Cupriavidus necator to grow on a number of fatty substrates, the possibility to enhance PHA production by limiting intracellular depolymerisation, was investigated. By knocking out the related phaZ1 gene, the construction of C. necator recombinant strains impaired in depolymerase (PhaZ1) activity was achieved. The polymer yield of the recombinant strain was finally compared to that of the parental C. necator DSM 545

    Publication patterns in HEP computing

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    An overview of the evolution of computing-oriented publications in high energy physics following the start of operation of LHC. Quantitative analyses are illustrated, which document the production of scholarly papers on computing-related topics by high energy physics experiments and core tools projects, and the citations they receive. Several scientometric indicators are analyzed to characterize the role of computing in high energy physics literature. Distinctive features of software-oriented and hardware-oriented scholarly publications are highlighted. Current patterns and trends are compared to the situation in previous generations' experiments.Comment: To be published in the Proc. of CHEP (Computing in High Energy Physics) 201

    Scholarly literature and the press: scientific impact and social perception of physics computing

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    The broad coverage of the search for the Higgs boson in the mainstream media is a relative novelty for high energy physics (HEP) research, whose achievements have traditionally been limited to scholarly literature. This paper illustrates the results of a scientometric analysis of HEP computing in scientific literature, institutional media and the press, and a comparative overview of similar metrics concerning representative particle physics measurements. The picture emerging from these scientometric data documents the scientific impact and social perception of HEP computing. The results of this analysis suggest that improved communication of the scientific and social role of HEP computing would be beneficial to the high energy physics community.Comment: To be published in the Proceedings of CHEP 2013 (Computing in High Energy Physics

    On the Direct Strength Design of Continuous Cold-formed Steel Beams

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    The work reported in this paper concerns an ongoing investigation aimed at developing an efficient methodology to design continuous cold-formed steel beams failing in modes that combine local, distortional and global features. At this stage, it is intended to assess how accurately can the load-carrying capacity of lipped channel continuous (two and three-span) beams subjected to non-uniform bending be predicted by means of the current Direct Strength Method (DSM) design curves. “Exact” ultimate strength values yielded by geometrically and materially non-linear shell finite element analyses are compared with estimates provided by the DSM equations and, on the basis of this comparison, it is possible to identify some features that must be included in a DSM approach applicable to continuous cold-formed steel beams

    Using Generalized Beam Theory (GBT) to Assess the Buckling Behavior of Cold-formed Steel Structural Systems

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    This paper deals with the application of beam finite element models based on Generalized Beam Theory (GBT) to analyze the buckling behavior of three cold-formed steel structural systems, namely (i) beams belonging to storage rack systems, (ii) portal frames built from rectangular hollow section (RHS) profiles and (iii) roof-supporting trusses, exhibiting different support conditions and subjected to various loadings. In particular, taking advantage of the GBT unique and structurally clarifying modal features, it is possible to assess how different geometries and/or bracing arrangements affect (improve) the local, distortional and/or global buckling behavior of the above structural systems. The accuracy of the GBT-based buckling results is assessed through the comparison with values yielded by rigorous shell finite element analyses carried out in the code ANSYS. In spite of the disparity between the numbers of degrees of freedom involved, which are orders of magnitude apart, there is a virtual coincidence between the critical buckling loads and mode shapes provided by the GBT (beam) and ANSYS (shell) finite element analyses

    Production of bioethanol from multiple waste streams of rice milling

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    This work describes the feasibility of using rice milling by-products as feedstock for bioethanol. Starch-rich residues (rice bran, broken, unripe and discolored rice) were individually fermented (20% w/v) through Consolidated Bioprocessing by two industrial engineered yeast secreting fungal amylases. Rice husk (20% w/v), mainly composed by lignocellulose, was pre-treated at 55 degrees C with alkaline peroxide, saccharified through optimized dosages of commercial enzymes (Cellic (R) CTec2) and fermented by the recombinant strains. Finally, a blend of all the rice by-products, formulated as a mixture (20% w/v) according to their proportions at milling plants, were co-processed to ethanol by optimized pre-treatment, saccharification and fermentation by amylolytic strains. Fermenting efficiency for each by-product was high (above 88% of the theoretical) and further confirmed on the blend of residues (nearly 52 g/L ethanol). These results demonstrated for the first time that the co-conversion of multiple waste streams is a promising option for second generation ethanol production

    The role of training in decreasing anxiety among experienced computer users

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    The purpose of our paper is twofold: on one hand we draw on the team climate literature to understand how IT knowledge integration capability can be promoted within team-based structures; on the other hand we rely on resource-based view framework for understanding how IT knowledge integration capability affects teams performance, in terms of effectiveness, and efficiency. We tested our research model on a sample of 410 members and leaders of 69 organizational work teams. Results show the critical role played by team climate for favouring IT knowledge integration capability, which in turn affects team outcomes.
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