Publications by authors named "Silvia Fraterrigo Garofalo"

Emulsions stabilized via Pickering particles are becoming more and more popular due to their high stability and biocompatibility. Hence, developing new ways to produce effective Pickering particles is essential. In this work, we present a crystal engineering approach to obtain precise control over particle properties such as size, shape, and crystal structure, which may affect wettability and surface chemistry.

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Apples are among the most commonly cultivated fruits globally. Approximately 65% of annual apple production is transformed into apple juice concentrate generating a large amount of waste material named apple pomace, which includes seeds, skin, and other components. Disposing of apple by-products directly into the environment constitutes a source of environmental pollution due to its high-water content and easily fermentable nature.

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Background: Plastic plays a crucial role in everyday life of human living, nevertheless it represents an undeniable source of land and water pollution. Polyhydroxybutyrate (PHB) is a bio-based and biodegradable polyester, which can be naturally produced by microorganisms capable of converting and accumulating carbon as intracellular granules. Hence, PHB-producing strains stand out as an alternative source to fossil-derived counterparts.

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Wastewater production is rising all over the world and one of the most difficult problems is the disposal of sewage sludge (SS). It is known that SS contains certain quantities of added-value compounds, such as humic acids (HA) which in turn have beneficial effects on soil quality and plant growth. On the other hand, SS can retain many pollutants, such as heavy metals.

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Article Synopsis
  • Scanning electron microscopy with energy dispersive spectrometry (SEM-EDS) is a cost-effective technique for analyzing the shape and chemical makeup of inorganic fibers, particularly asbestos.
  • While SEM-EDS is crucial for accurate asbestos quantification in complex natural samples, it is also time-consuming and dependent on the skill of the operator.
  • The proposed method enhances efficiency by first identifying asbestos particle shapes before analyzing their composition, leading to quick and precise measurements with less than 10% error in tests.
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