Fast Acting Bio-Derived and Bio-Degradable Paint RemoversforEpoxy,Latexand Lacquer CoatingsEPA Contract Number: 68HERD19C0029
Title: Fast Acting Bio-Derived and Bio-Degradable Paint RemoversforEpoxy,Latexand Lacquer Coatings
Small Business: Remooble
EPA Contact: Richards, April
Project Period: May 1, 2019 through October 31, 2019
Project Amount: $100,000
RFA: Small Business Innovative Research (SBIR) PHASE I (2019) RFA Text | Recipients Lists
Research Category: Small Business Innovation Research (SBIR) , Small Business Innovation Research (SBIR): Phase 1 (2019) , SBIR - Sustainability
The specific need for the technology, what the technology would do to meet that need, technical feasibily, application(s), end users, size of the potential market, performance compared to current technologies and potential for environmental benefits.
Remooble proposes a new class of safe, bio-derived, and bio-degradable paint removers that can strip multiple layers of coating in a sinble application to be developed to replace hazardous use of methylene chloride and NMP-based paint strippers.
For paint removers to be of added value to a customer it must meet the following requirements:
- Fast acting
- Effective over a wide variety of coatings
- Suitable for multiple surfaces
- Be safe, non-toxic, non-flammable and bio-degradable
- Be cost effective to the end customer
Remooble will assess derivatives of biomass platoform molecules as defined by the DOE 2014 report for paint stripping applications using Hansed Solubility Parameters to identify blends of safe bio-derived solvents meeting the requirements. Molecules to be considered are derived form sugar-based platforms and are available on commercial scale today. An excessing evaluation of possible derivatives, often esters of these organic acids for paint stripping applications has not happened nor have they been considered and tested in optimized formulations. Remooble will synthesize promising candidates and test them in formulations.
Safety assessment and initial lifecycle studies will be performed using both in silico methods and the Duke Universities Division of Occupational Medicine.