788 resultados para Textile absorbent


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Objective: The chance of obtaining a conclusive DNA profile strongly depends on the quantity of biological material that can be recovered from a crime scene sample. Optimizing the collection strategy is therefore of prime interest. A difference in the level of tightness of the cotton meshed around the shaft has been observed between manufacturers and is hypothesized to affect the collection and subsequent release capacity of cotton swabs. Consequently, we compared the performance of cotton swabs from two different suppliers: Applimed SA and DryswabTM. Methods: These swabs were used to recover 50 ml of blood, either pure or diluted (1:1000 and 1:5000), deposited on both smooth and absorbent surfaces. Performance was compared in terms of ease of use, concentration of extracted DNA, and quality of DNA profiles. DNA quantification was obtained by real-time PCR using the QuantifilerTM Human DNA Quantification Kit. Evaluation of DNA profiles was based on profiles obtained using AmpFlSTR® NGM SElectTM PCR Amplification kit. Results: When considering smooth surfaces, recovered DNA was more concentrated when using the DryswabTM than the Applimed SA cotton swab. More precisely, DNA concentrations ranged from 15.7 to 28.8 ng/ml and 6.7 to 21.2 ng/ml, respectively for samples of pure blood. The same trend was observed for the absorbent surface, with 2.0 to 5.0 ng/ml and 0.9 to 1.4 ng/ml, respectively. Conclusion: Our results illustrate that different cotton swabs produce different results in terms of ease of use and quantity of recovered DNA and this should be taken into consideration when choosing which swab to use at both the crime scene and laboratory. More specifically, results from the present study suggest that looser meshing of the cotton fibres

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This chapter discusses how the industrial ecological systems can help in dealing with environmental issues in developing countries, and it presents three case studies from India that highlight some of the unique environmental issues of developing world. Industrial ecology explores the assumption that the industrial system can be seen as a certain kind of ecosystem. The scope of industrial ecology goes well beyond waste exchange to the optimization of resources flowing through the economic system. Among the various specific aspects of developing countries, which have to be born in mind, is the fact that the pattern of resource flows in developing countries, and hence, the resultant environmental threat could be very different than what it is in the industrialized west. Typically, the flow of materials through the large, organized manufacturing facilities in the developing countries could be very small in relation to the overall material flow as the small, informal ?industry? plays a key role and forms a very significant portion of the economic activity. The case studies of the Tirupur textile industries, and the leather industry in India, illustrate how redefining the problem from a perspective of resource conservation, and on the basis of resource flow data could point to totally new directions for strategy planning. The case study of the Damodar Valley region amplifies the importance of looking beyond formal industry to solve an environmental problem. It shows that even for globally critical programs, such as climate change program in developing countries, it is just not enough to estimate the emissions from the formal industrial sectors.

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As a result of globalization and free trade agreements, international trade is enormously growing and inevitably putting more pressure on the environment over the last few decades. This has drawn the attention of both environmentalist and economist in response to the ever growing concerns of climate change and urgent need of international action for its mitigation. In this work we aim at analyzing the implication of international trade in terms of CO2 between Spain and its important partners using a multi-regional input-output (MRIO) model. A fully integrated 13 regions MRIO model is constructed to examine the pollution responsibility of Spain both from production and consumption perspectives. The empirical results show that Spain is a net importer of CO2 emissions which is equivalent to 29% of its emission due to production. Even though the leading partner with regard to import values are countries such as Germany, France, Italy and Great Britain, the CO2 embodied due to trade with China takes the largest share. This is mainly due to the importation of energy intensive products from China coupled with Chinese poor energy mix which is dominated by coal-power plant. The largest portion (67%) of the global imported CO2 emissions is due to intermediate demand requirements by production sectors. Products such as Motor vehicles, chemicals, a variety of machineries and equipments, textile and leather products, construction materials are the key imports that drive the emissions due to their production in the respective exporting countries. Being at its peak in 2005, the Construction sector is the most responsible activity behind both domestic and imported emissions.

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This essay deals with the reasons explaining children s work in 19th century textile factories and their removal during the first part of the 20th century. The inadequacy of the structure of incomes and expenditures of the household and the very low economic incentives to educate children can explain why children were in the factories and not in the school. Moreover, the marginal economic contribution to the economy of the household of a child was the same as that of his mother. This normally implied that women and children were perfect substitutes. When the family had a child at working age this allowed to replace the paid work input of the mother. With the beginnings of the 20th century a set of changes leading to the increase of women s productivity and hourly real wages, switched the situation and involved the new incorporation of women into paid work and the investment in children s human capital.

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The mercantile company was the basic form of enterprise in pre-industrial Catalonia. The aim of this paper is to study the formation and development of the mercantile companies in Barcelona whose end was the wholesale and retail sale of textiles in the botigues de teles (textile retail shops) throughout the eighteenth century. These firms were officially registered before a notary and their deeds reveal how these establishments were administered and managed.The study covers a sample of 121 mercantile companies, and the articles and documentation that were put into effect by 32 notaries who were active in Barcelona in the 18th century have been consulted in their entirety. From an initial selection of documentation, a total of 228 deeds registering companies have been found, 107 of which (47%) relate to the creation of companies whose various activities were centred in taverns, textile manufacturing, braiding.... While the 121 companies, which make up our sample and which account for 53% of the deeds registered with the notaries mentioned above, focused exclusively on the management of textile retail shops located in the commercial heart of the city. Thus one point of interest that the documentation reveals is that the majority of the mercantile companies registered by Barcelona notaries throughout the 18th century were establishments which traded in textiles. The first part of the article focuses on the structural characteristics of these enterprises, the number and socio-professional status of the partners and the extent of each partner s involvement in the administration and management. The second part of the article examines the capital investment made by each partner, their rights and obligations agreed on, the sharing out of profits and possible losses and the duration of the companies. The final aim of the paper is to highlight the evolution of these companies through one specific case.

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RESUME La méthode de la spectroscopie Raman est une technique d'analyse chimique basée sur l'exploitation du phénomène de diffusion de la lumière (light scattering). Ce phénomène fut observé pour la première fois en 1928 par Raman et Krishnan. Ces observations permirent à Raman d'obtenir le Prix Nobel en physique en 1930. L'application de la spectroscopie Raman a été entreprise pour l'analyse du colorant de fibres textiles en acrylique, en coton et en laine de couleurs bleue, rouge et noire. Nous avons ainsi pu confirmer que la technique est adaptée pour l'analyse in situ de traces de taille microscopique. De plus, elle peut être qualifiée de rapide, non destructive et ne nécessite aucune préparation particulière des échantillons. Cependant, le phénomène de la fluorescence s'est révélé être l'inconvénient le plus important. Lors de l'analyse des fibres, différentes conditions analytiques ont été testées et il est apparu qu'elles dépendaient surtout du laser choisi. Son potentiel pour la détection et l'identification des colorants imprégnés dans les fibres a été confirmé dans cette étude. Une banque de données spectrale comprenant soixante colorants de référence a été réalisée dans le but d'identifier le colorant principal imprégné dans les fibres collectées. De plus, l'analyse de différents blocs de couleur, caractérisés par des échantillons d'origine inconnue demandés à diverses personnes, a permis de diviser ces derniers en plusieurs groupes et d'évaluer la rareté des configurations des spectres Raman obtenus. La capacité de la technique Raman à différencier ces échantillons a été évaluée et comparée à celle des méthodes conventionnelles pour l'analyse des fibres textiles, à savoir la micro spectrophotométrie UV-Vis (MSP) et la chromatographie sur couche mince (CCM). La technique Raman s'est révélée être moins discriminatoire que la MSP pour tous les blocs de couleurs considérés. C'est pourquoi dans le cadre d'une séquence analytique nous recommandons l'utilisation du Raman après celle de la méthode d'analyse de la couleur, à partir d'un nombre de sources lasers le plus élevé possible. Finalement, la possibilité de disposer d'instruments équipés avec plusieurs longueurs d'onde d'excitation, outre leur pouvoir de réduire la fluorescence, permet l'exploitation d'un plus grand nombre d'échantillons. ABSTRACT Raman spectroscopy allows for the measurement of the inelastic scattering of light due to the vibrational modes of a molecule when irradiated by an intense monochromatic source such as a laser. Such a phenomenon was observed for the first time by Raman and Krishnan in 1928. For this observation, Raman was awarded with the Nobel Prize in Physics in 1930. The application of Raman spectroscopy has been undertaken for the dye analysis of textile fibers. Blue, black and red acrylics, cottons and wools were examined. The Raman technique presents advantages such as non-destructive nature, fast analysis time, and the possibility of performing microscopic in situ analyses. However, the problem of fluorescence was often encountered. Several aspects were investigated according to the best analytical conditions for every type/color fiber combination. The potential of the technique for the detection and identification of dyes was confirmed. A spectral database of 60 reference dyes was built to detect the main dyes used for the coloration of fiber samples. Particular attention was placed on the discriminating power of the technique. Based on the results from the Raman analysis for the different blocs of color submitted to analyses, it was possible to obtain different classes of fibers according to the general shape of spectra. The ability of Raman spectroscopy to differentiate samples was compared to the one of the conventional techniques used for the analysis of textile fibers, like UV-Vis Microspectrophotometry (UV-Vis MSP) and thin layer chromatography (TLC). The Raman technique resulted to be less discriminative than MSP for every bloc of color considered in this study. Thus, it is recommended to use Raman spectroscopy after MSP and light microscopy to be considered for an analytical sequence. It was shown that using several laser wavelengths allowed for the reduction of fluorescence and for the exploitation of a higher number of samples.

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