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A Platform for High-Throughput Assessments of Environmental Multistressors.

Brian NguyenPercival J GrahamChelsea M RochmanDavid Sinton
Published in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2018)
A platform compatible with microtiter plates to parallelize environmental treatments to test the complex impacts of multiple stressors, including parameters relevant to climate change and point source pollutants is developed. This platform leverages (1) the high rate of purely diffusive gas transport in aerogels to produce well-defined centimeter-scale gas concentration gradients, (2) spatial light control, and (3) established automated liquid handling. The parallel gaseous, aqueous, and light control provided by the platform is compatible with multiparameter experiments across the life sciences. The platform is applied to measure biological effects in over 700 treatments in a five-parameter full factorial study with the microalgae Chlamydomonas reinhardtii. Further, the CO2 response of multicellular organisms, Lemna gibba and Artemia salina under surfactant and nanomaterial stress are tested with the platform.
Keyphrases
  • high throughput
  • climate change
  • single cell
  • deep learning
  • human health
  • ionic liquid
  • room temperature
  • heavy metals