A multivariate approach to the study of the composting process by means of analytical electrofocusing

Three blends formed by: agro-industrial waste, wastewater sewage sludge, and their mixture, blended with tree pruning as bulking agent, were composted over a 3-month period. During the composting process the blends were monitored for the main physical and chemical characteristics. Electrofocusing (E...

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Veröffentlicht in:Waste management (New York, N.Y.). - 1999. - 27(2007), 9 vom: 04., Seite 1072-82
1. Verfasser: Grigatti, Marco (VerfasserIn)
Weitere Verfasser: Cavani, Luciano, Ciavatta, Claudio
Format: Aufsatz
Sprache:English
Veröffentlicht: 2007
Zugriff auf das übergeordnete Werk:Waste management (New York, N.Y.)
Schlagworte:Journal Article Humic Substances Industrial Waste Metals, Heavy Sewage Soil lignocellulose 11132-73-3 Carbon 7440-44-0 mehr... Cellulose 9004-34-6 Starch 9005-25-8 Lignin 9005-53-2 Nitrogen N762921K75 Oxygen S88TT14065
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245 1 2 |a A multivariate approach to the study of the composting process by means of analytical electrofocusing 
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500 |a Date Completed 27.11.2007 
500 |a Date Revised 16.11.2017 
500 |a published: Print-Electronic 
500 |a Citation Status MEDLINE 
520 |a Three blends formed by: agro-industrial waste, wastewater sewage sludge, and their mixture, blended with tree pruning as bulking agent, were composted over a 3-month period. During the composting process the blends were monitored for the main physical and chemical characteristics. Electrofocusing (EF) was carried out on the extracted organic matter. The EF profiles were analyzed by principal component analysis (PCA) in order to assess the suitability of EF to evaluate the stabilisation level during the composting process. Throughout the process, the blends showed a general shifting of focused bands, from low to high pH, even though the compost origin affected the EF profiles. If the EF profile is analyzed by dividing it into pH regions, the interpretation of the results can be affected by the origin of compost. A good clustering of compost samples depending on the process time was obtained by analyzing the whole profile by PCA. Analysis of EF results with PCA represents a useful analytical technique to study the evolution and the stabilisation of composted organic matter 
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700 1 |a Cavani, Luciano  |e verfasserin  |4 aut 
700 1 |a Ciavatta, Claudio  |e verfasserin  |4 aut 
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