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In recent years, an increasing number of microplastics (plastic particles with dimensions of less than 5 mm, including micrometric and sub-micrometric particles) have been found in each section of the marine water column and a large proportion of them may come from washing effluents of synthetic clothes. Synthetic fibres account for approximately 60% of the total global fibre production, and polyester (PET) and polyamide (PA) prevail. During a wash, many parameters can influence microplastic release, e.g. temperature, time, detergent, spin speed and washing process. The novelty of the present study is to evaluate different textile parameters and/or the manufacturing of fabrics, which most influences the release of microplastics. The tests were carried out on two 100% polyester fabrics during washing in the same operative conditions. The results obtained show a significant difference of 43% between PET samples in terms of microplastic release mainly due to sewing thread and edge effect that largely mask the contribution of any other textile parameters like textile geometry and pilling tendency. These data might shed new light on the importance of the seams, which can improve product quality in terms of microplastic release. [ABSTRACT FROM AUTHOR]

Management of waste wool is a problem related to sheep farming and butchery in Europe. Since the primary role of European flock is meat production, sheep are crossbreds not graded for fine wool production. Their wool is very coarse and contains a lot of kemps (dead fibres), so that it is practically unserviceable for textile uses, and represents a by-product which is mostly disposed off. Green hydrolysis using superheated water is an emerging technology to turn waste wool into amendment-fertilizers for the management of grasslands and other cultivation purposes. In this way wool keratin (the wool protein) is degraded into simpler compounds, tailoring the release speed of nutrients to plants. Wool, when added to the soil, increases the yield of grass grown, absorbs and retains moisture very effectively and reduces run off of contaminants such as pesticides. Moreover, the closed-loop cycle grass-wool-grass is an efficient form of recycling, because the wool-grass step is solar powered and grazing sheep increases soil carbon sequestration on grasslands and fertilisation, if not over-used, can enhance the carbon sequestration rate. Economical results of using hydrolysed wool as a fertilizer are expected from the increase of the management yield and the extension of the pasture lands that may contribute to employment and profit of sheep farming, increase European sheep population, and reduce European dependency of imported meat which is forecast to rise in the next years. [ABSTRACT FROM AUTHOR]

Near infrared spectroscopy coupled with chemiometric analysis was investigated as a fast and non destructive method for the identification of wool, cashmere, yak, and angora rabbit fibers in the raw and combed sliver state and for the quantitative determination of cashmere in cashmere/wool blends. The main differences among spectra of different animal hair arise from physical charateristics rather than chemical characteristics (mainly pigmentation and mean diameter) of animal fibers. The Soft Independent Modelling by Class Analogy method allows the classification of distinct fibers into separate groups with interclass distances ranging from 12.64 for the nearest classes (white cashmere and wool) to above 1000 for the most distant classes of white and pigmented fibers. Percentages of recognition and rejection of 100 % were found with the exception of a yak sample that was not rejected from the pigmented cashmere class (98 % of rejection). The prediction capacity of the model was also evaluated. Quantitative analysis was carried out using samples obtained by carefully mixing known amounts of wool and white cashmere. A standard error of the estimate of 8.5, a standard error of prediction of 13.10 and a coefficient of determination of 0.95 were calculated. From the results obtained, it can be concluded that near infrared spectroscopy can be used as a tool for an initial and rapid screening of unknown animal fiber samples in the raw and combed sliver states and for a fast and coarse estimate of the amount of cashmere in wool/cashmere blends. [ABSTRACT FROM AUTHOR]

We directly compared risk factors between 214 histologically confirmed melanomas (CMM), 215 basal-cell carcinomas (BCC) and 139 squamous-cell carcinomas (SCC) in a multiple case-case-control study with 349 controls from patients without dermatological disease admitted to the same hospitals. Subjects with fair hair had a significant risk increase for all types of tumours at a comparable level (OR(adj) for blonde hair: CMM 2.3; SCC 2.4; BCC 2.3). The effect of pale eyes was significant and similar for CMM and BCC (OR(adj) 2.6). Intermittent sun exposure measured in hours spent at beach during holidays was significant for both CMM (OR(adj) 2.6 for more than 7000 lifelong hours) and BCC (OR(adj) 2.1 for more than 7000 lifelong hours), while SCC exhibited a significant risk increase for chronic exposure to sunlight measured in hours of outdoor work (OR(adj) 2.2 for more than 6000 lifelong hours). In the case-case comparison using a multinomial logistic regression model, we found a statistically significant risk difference for pale eyes, and number of naevi in the CMM group, compared to other skin cancers. For intermittent sun exposure, there was a significant risk difference of BCC when compared to the risk of SCC. Factors influencing risk of SCC are different, with chronic exposure to sun playing a major role in causing this type of carcinoma. [ABSTRACT FROM AUTHOR]