Matches in SemOpenAlex for { <https://semopenalex.org/work/W2100470090> ?p ?o ?g. }
Showing items 1 to 76 of
76
with 100 items per page.
- W2100470090 endingPage "335" @default.
- W2100470090 startingPage "321" @default.
- W2100470090 abstract "Chemical characterization of solid waste is a demanding task due to the heterogeneity of the waste. This article describes how 45 material fractions hand-sorted from Danish household waste were subsampled and prepared for chemical analysis of 61 substances. All material fractions were subject to repeated particle-size reduction, mixing, and mass reduction until a sufficiently small but representative sample was obtained for digestion prior to chemical analysis. The waste-fraction samples were digested according to their properties for maximum recognition of all the studied substances. By combining four subsampling methods and five digestion methods, paying attention to the heterogeneity and the material characteristics of the waste fractions, it was possible to determine 61 substances with low detection limits, reasonable variance, and high accuracy. For most of the substances of environmental concern, the waste-sample concentrations were above the detection limit (e.g. Cd > 0.001 mg kg−1, Cr > 0.01 mg kg−1, Hg > 0.002 mg kg−1, Pb > 0.005 mg kg−1). The variance was in the range of 5–100%, depending on material fraction and substance as documented by repeated sampling of two highly different material fractions (‘Vegetable food’ and ‘Shoes, leather, etc.’). Statistical analysis showed for the ‘Vegetable food’ that the variance could not be attributed to a single step in the procedure, whereas in the case of ‘Shoes, leather, etc.’, the first coarse shredding was the main source of variance (20–85% of the overall variation). Only by increasing the sample size significantly can this variance be reduced. The accuracy and short-term reproducibility of the chemical characterization were good, as determined by the analysis of several relevant certified reference materials. Typically, six to eight different certified reference materials representing a range of concentrations levels and matrix characteristics were included. Based on the documentation provided, the methods introduced were considered satisfactory for characterization of the chemical composition of waste-material fractions." @default.
- W2100470090 created "2016-06-24" @default.
- W2100470090 creator A5015215301 @default.
- W2100470090 creator A5048825789 @default.
- W2100470090 creator A5051519529 @default.
- W2100470090 creator A5078359435 @default.
- W2100470090 date "2007-04-20" @default.
- W2100470090 modified "2023-10-10" @default.
- W2100470090 title "Method for fractional solid-waste sampling and chemical analysis" @default.
- W2100470090 cites W2048616164 @default.
- W2100470090 cites W2063586611 @default.
- W2100470090 cites W2073419984 @default.
- W2100470090 cites W2172283808 @default.
- W2100470090 doi "https://doi.org/10.1080/03067310701189067" @default.
- W2100470090 hasPublicationYear "2007" @default.
- W2100470090 type Work @default.
- W2100470090 sameAs 2100470090 @default.
- W2100470090 citedByCount "37" @default.
- W2100470090 countsByYear W21004700902012 @default.
- W2100470090 countsByYear W21004700902013 @default.
- W2100470090 countsByYear W21004700902014 @default.
- W2100470090 countsByYear W21004700902015 @default.
- W2100470090 countsByYear W21004700902016 @default.
- W2100470090 countsByYear W21004700902017 @default.
- W2100470090 countsByYear W21004700902018 @default.
- W2100470090 countsByYear W21004700902019 @default.
- W2100470090 countsByYear W21004700902020 @default.
- W2100470090 countsByYear W21004700902022 @default.
- W2100470090 crossrefType "journal-article" @default.
- W2100470090 hasAuthorship W2100470090A5015215301 @default.
- W2100470090 hasAuthorship W2100470090A5048825789 @default.
- W2100470090 hasAuthorship W2100470090A5051519529 @default.
- W2100470090 hasAuthorship W2100470090A5078359435 @default.
- W2100470090 hasConcept C127413603 @default.
- W2100470090 hasConcept C149629883 @default.
- W2100470090 hasConcept C185592680 @default.
- W2100470090 hasConcept C2777499484 @default.
- W2100470090 hasConcept C2778576202 @default.
- W2100470090 hasConcept C33923547 @default.
- W2100470090 hasConcept C39432304 @default.
- W2100470090 hasConcept C43617362 @default.
- W2100470090 hasConcept C528095902 @default.
- W2100470090 hasConcept C548081761 @default.
- W2100470090 hasConcept C75779659 @default.
- W2100470090 hasConceptScore W2100470090C127413603 @default.
- W2100470090 hasConceptScore W2100470090C149629883 @default.
- W2100470090 hasConceptScore W2100470090C185592680 @default.
- W2100470090 hasConceptScore W2100470090C2777499484 @default.
- W2100470090 hasConceptScore W2100470090C2778576202 @default.
- W2100470090 hasConceptScore W2100470090C33923547 @default.
- W2100470090 hasConceptScore W2100470090C39432304 @default.
- W2100470090 hasConceptScore W2100470090C43617362 @default.
- W2100470090 hasConceptScore W2100470090C528095902 @default.
- W2100470090 hasConceptScore W2100470090C548081761 @default.
- W2100470090 hasConceptScore W2100470090C75779659 @default.
- W2100470090 hasIssue "5" @default.
- W2100470090 hasLocation W21004700901 @default.
- W2100470090 hasOpenAccess W2100470090 @default.
- W2100470090 hasPrimaryLocation W21004700901 @default.
- W2100470090 hasRelatedWork W1191014223 @default.
- W2100470090 hasRelatedWork W178140751 @default.
- W2100470090 hasRelatedWork W2243417687 @default.
- W2100470090 hasRelatedWork W2370337183 @default.
- W2100470090 hasRelatedWork W2379485314 @default.
- W2100470090 hasRelatedWork W3112396718 @default.
- W2100470090 hasRelatedWork W3169369690 @default.
- W2100470090 hasRelatedWork W4206115754 @default.
- W2100470090 hasRelatedWork W4220983253 @default.
- W2100470090 hasRelatedWork W4311200177 @default.
- W2100470090 hasVolume "87" @default.
- W2100470090 isParatext "false" @default.
- W2100470090 isRetracted "false" @default.
- W2100470090 magId "2100470090" @default.
- W2100470090 workType "article" @default.