Development of Testing Techniques for rapidly screening the presence of persistent organic pollutants (POPs) in manufactured products and in surface water

Objective

  1. Develop Machine Learning-assisted material analysis techniques to rapidly screen the presence of emerging pollutants (persistent organic pollutants (POPs) (eg. PCBs, PCNs, SCCPs, PFOS, PFOA), and Phthalates Esters (PAE) in media of interest
  2. Policy recommendation on managing
    hazardous chemical

Funding Agency

NSTDA
(government budget)

Project Duration

August 2018 to December 2020

The project developed multiple techniques to rapidly detect the presence of emerging pollutants namely PCBs, PCNs, SCCPs, PFOS, PFOA, and Phthalates Esters (PAEs)) in EOL plastics, neat oils, waste oils, chlorinated paints and sealants, and PFAS in surface water. Using the newly developed test methods, the project found wide spread of PAEs and chlorinated paraffins (CPs) used in soft plastics and paints, trace of PFAS in surface water, and evidence of plastics containing legacy additives being recycled into new products.

A series of trainings were organized to raise public awareness on chemicals in products and to disseminate knowledge about good practice to manage substances of very high concerns (SVHC) in products and to communicate SVHC information to customers along supply chain to industrial firms in EEE and automotive industry.