Optimal acid digestion for multi-element analysis of different waste matrices

  • Ramona Götze
  • , Thomas Fruergaard Astrup

    Research output: Contribution to conferencePaperResearchpeer-review

    542 Downloads (Orbit)

    Abstract

    Informed planning and assessment of waste management systems requires accurate data on physical and chemical characteristics of the waste materials. For many parameters analytical standard methods already exist; however, most of these methods do not account for the specific properties of the distinct waste materials and recyclables. The purpose of this study is to evaluate the performance of different standardized microwave assisted acid digestion methods on waste samples and subsequent multi-element analysis. Six acid digestion methods were applied on a Paper & Cardboard and Composite waste matrix preparing four replicates per method. The digestates were subsequently analyzed for 20 elements using ICP-MS and ICP-OES. The measurement results were statistically evaluated using ANOVA and a ranking procedure. The ANOVA shows a significant difference between the digestion methods for 12 elements in the Paper & Cardboard matrix and for 10 elements in the Composite matrix. The ranking procedure points to different methods to be the most optimal digestion methods in the tested waste matrices. The recovery rates can vary by more than 90% among the tested digestion methods depending on the individual element. The selection of an appropriate method is therefore crucial.
    Original languageEnglish
    Publication date2014
    Number of pages5
    Publication statusPublished - 2014
    Event5th International Conference on Engineering for Waste and Biomass Valorisation - Rio de Janeiro, Brazil
    Duration: 25 Aug 201428 Aug 2014
    Conference number: 5

    Conference

    Conference5th International Conference on Engineering for Waste and Biomass Valorisation
    Number5
    Country/TerritoryBrazil
    CityRio de Janeiro
    Period25/08/201428/08/2014

    Keywords

    • Waste characterization
    • Waste analysis
    • Heavy metals
    • Uncertainties
    • Acid digestion
    • Mulit-element analysis

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