A More Accurate Sensor for Lead Paint

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The stimuli-responsive nature of molecular gels makes them appealing platforms for sensing. The biggest challenge is in identifying an appropriate gelator for each specific chemical or biological target. Due to the similarities between crystallization and gel formation, we hypothesized that the tools used to predict crystal morphologies could be useful for identifying gelators. Herein, we demonstrate that new gelators can be discovered by focusing on scaffolds with predicted high aspect ratio crystals. Using this morphology prediction method, we identified two promising molecular scaffolds containing lead atoms. Because solvent is largely ignored in morphology prediction but can play a major role in gelation, each scaffold needed to be structurally modified before six new Pb-containing gelators were discovered. One of these new gelators was developed into a robust sensor capable of detecting lead at the U.S. Environmental Protection Agency limit for paint (5000 ppm).

Developing a Gel-Based Sensor Using Crystal Morphology Prediction

A new molecular gel recipe developed at the University of Michigan is at the core of a prototype for a more accurate lead paint test to see whether a paint chip contains >5,000 parts per million of the poisonous metal that was banned from pigments in 1978. Government agencies use that threshold to define paint as “lead-based” and the EPA requires that home test kits can differentiate above and below it. Yet these home kits have a wide margin of error and they produce many false positives, the researchers say.

The new test is more clear and accurate than its counterparts. It consists of a vial that holds paint thinner and a sprinkling of certain salts that, when combined with the right concentration of lead, form a gel. Users drop a paint chip in, heat the mixture and wait to see how the solution reacts. If a gel forms and the gel stays at the top of the inverted vial, it’s positive for at least 5000ppm lead. If the solution stays liquid and no gel forms, there may still be some lead in the paint, but not enough to require special steps to maintain it or get rid of it.

The test could help homeowners and renters better understand their level of risk. The researchers say it also pushes forward some exciting science. It demonstrates a more streamlined approach to making targeted molecular gels, that hold promise for sensing, biomedicine and environmental clean-up applications.

Gesine Veits, Chemistry Post Doctoral Researcher and member of Ann McNeil's laboratory, constructs a lead paint test. Image credit: Joseph Xu, Michigan Engineering

Gesine Veits, Chemistry Post Doctoral Researcher and member of Ann McNeil’s laboratory, constructs a lead paint test. Image credit: Joseph Xu, Michigan Engineering

To come up with their recipe, they first assumed that exploring crystal growth could give them insights about gel formation. They turned to the Cambridge Structural Database, a global repository of more than 800,000 crystal structures. Any researcher who reports a new crystal structure is required to enter it in the database.

They searched for crystals that contain lead and narrowed that down further. From looking at gels under a microscope, they knew gels often resemble bowls of spaghetti. Of the possible crystal structures, it occurred to them that a long strand would be most similar to a needle-shaped crystal. So the research team zeroed in on the crystal structures that contain lead – and produced a shaft shape. The researchers then used those molecules as the starting point. “We made the assumption that when a crystal grows and it forms a needle-shape, the forces might be similar to those at work when a gel is forming,” McNeil said. “It seems to have worked, but some people think it was a big assumption.”

McNeil’s research group plans to test the new design process on a gel that doesn’t include a metal, to see if their recipe can serve as a template for others. The university is pursuing patent protection for the intellectual property and is seeking commercialization partners to help bring the technology to market. http://ns.umich.edu/new/multimedia/videos/24173-a-more-accurate-sensor-for-lead-paint http://pubs.acs.org/doi/abs/10.1021/jacs.6b06269