Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Resoure Recovery from E-waste

Metadata Updated: January 14, 2021

Sustainable management of electronic waste is critical to achieving a circular-economy and minimizing environment and public health risks. The objective of this study was to investigate the use of pyrolysis as a possible technique to recover valuable materials and energy from different components of e-waste as an alternative approach for limiting their disposal to landfills. The study includes investigating the potential impact of thermal processing of e-waste.Thermogravimetric (TG) analysis and differential thermogravimetric analysis (DTG) of e-waste components were used to better understand the mass loss characteristics of the pyrolysis process up to 700 oC. The changes in e-waste chemical components during pyrolysis were considered using Fourier-transform infrared (FTIR) spectrometry and X-ray fluorescence (XRF) techniques. The energy recovery from pyrolysis was made in a horizontal tube furnace under anoxic and isothermal condition of selected temperatures of 300, 400 and 500 oC. Critical and valuable metals were recovered from electronic components. Pyrolysis produced liquid and gas mixtures organic compounds that can be used as fuels, but the process also emitted particulate matter and semi-volatile organic products, and the remaining ash contained leachable pollutants. Furthermore, toxicity leaching characteristic profile of e-waste and partly oxidized products were conducted to measure the levels of pollutants leached before and after pyrolysis at selected temperatures. The results of this study contribute to the development of alternative approaches to practical recycling that could especially help reduce plastic pollution and recover materials of value from e-waste. Additionally, this information may be used to assess the risk of exposure of workers to emissions semi-formal recycling centers.

This dataset is associated with the following publication: Sahle-Demessie, E., B. Mezgebe, J. Dietrich, Y. Shan, S. Harmon, and C.C. Lee. Material recovery from electronic waste using pyrolysis: Emissions measurements and risk assessment. Journal of Environmental Chemical Engineering. Elsevier B.V., Amsterdam, NETHERLANDS, 9(1): 104943, (2021).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

https://doi.org/10.1016/j.jece.2020.104943

Dates

Metadata Created Date January 14, 2021
Metadata Updated Date January 14, 2021

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date January 14, 2021
Metadata Updated Date January 14, 2021
Publisher U.S. EPA Office of Research and Development (ORD)
Maintainer
Identifier https://doi.org/10.23719/1506125
Data Last Modified 2019-09-01
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Data Dictionary https://pasteur.epa.gov/uploads/10.23719/1506125/documents/DataDictionary_Pyrolysis_2019.docx
Data Dictionary Type application/vnd.openxmlformats-officedocument.wordprocessingml.document
Harvest Object Id 74e0241d-e09a-4f7c-8d66-a32c03b0cbbf
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Program Code 020:097
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents https://doi.org/10.1016/j.jece.2020.104943
Source Datajson Identifier True
Source Hash e90e89fbcb7c3557c7395be4cc4f6fe5b20ba06f
Source Schema Version 1.1

Didn't find what you're looking for? Suggest a dataset here.