Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1032
Title: Experimental models of characterization and analysis of industrial waste
Authors: Kim, Lidia
Anghelache, Alina Maria
Cuciureanu, Adriana
Guta, Doina
Arama, Madalina Georgeta
Cristea, Ionut
Dediu, Violeta
Keywords: Experimental models;Heavy metals;Industrial waste;Microwave digestion
Issue Date: 2017
Publisher: National Research and Development Institute for Industrial Ecology, INCD-ECOIND
Abstract: 
In the present paper we report, a series of experimental characterization and analysis models that can be applied to industrial waste samples in order to determine the heavy metals within them. During our studies we determined that both preparation and pretreatment of the waste sample are the two most important steps in the analysis process. Therefore, an increased attention was given in using appropriate procedures and methods for preparation and pretreatment. In order to ensure a correct and secure analysis were developed experimental models based on preparation and pretreatment stages and also on organic matrix decomposition method (digestion process with acid mixture under microwave). These experimental models were tested on a series
of wastes coming from processing and finishing activities of metal surfaces and other materials. Metal concentration was analyzed by AAS (atomic absorption spectrometry) and XRF (X-ray fluorescence spectrometry). The obtained results proved that the proposed experimental models are suitable for analysis of different types of industrial wastes samples.
Description: 
International Symposium "The Environment and the Industry", SIMI 2017
URI: http://hdl.handle.net/123456789/1032
DOI:10.21698/simi.2017.0018
ISSN: L : 1843-5831 (on-line): 2457-8371
Appears in Collections:SIMI 2017

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