A Case of Pesticide Poisoning

$19.47$167.63

Investigate the case of a family poisoned by household pesticides.

A family has been poisoned by pesticides used to treat a bed bug problem.

  • Conduct simulated urine testing to identify the presence of pesticide metabolites in the family members’ urine.
  • Interpret household pesticide labels to determine safe use practices.
  • Explore research that suggests pesticides might be harmful to human health and the environment.
  • Model how pesticides affect the food chain in an aquatic ecosystem.
$19.47
Assembled kits
$167.63
Materials to assemble 10 kits - includes all supplies, printed labels, and student instructions copy master
$30.28
Materials to refill 10 kits

Kit Includes

  • Student instructions
  • 2 Simulated urine samples
  • Pyrethroid Test Solution (simulated)
  • Pyrethroid Metabolite Test Sheet
  • Pyrethroid Test Color Chart
  • 3 Labeled droppers
  • Bag of colored cubes

Also Required

  • Safety goggles

Quantity Discounts

    Kits:

  • 1 – 9 kits: $19.47 each
  • 10 – 24 kits: $18.49 each
  • 25+ kits: $17.52 each

    Unassembled:

  • 1 – 9 packs: $167.63 each
  • 10+ packs: $159.25 each

    Refills:

  • 1 – 9 packs: $30.28 each
  • 10+ packs: $28.77 each

Correlation to Next Generation Science Standards (NGSS) Shop by NGSS »

Performance Expectations:

MS-ESS3-3. Apply scientific principles to design a method for monitoring and minimizing a human impact on the environment.

  • Science & Engineering Practices

    Analyzing and Interpreting Data - Analyze and interpret data to provide evidence for phenomena

  • Disciplinary Core Ideas

    ESS3.C: Human Impacts on Earth Systems - Human activities have significantly altered the biosphere, sometimes damaging or destroying natural habitats and causing the extinction of other species. But changes to Earth’s environments can have different impacts (negative and positive) for different living things.

  • Crosscutting Concepts

    Cause and Effect - Cause and effect relationships may be used to predict phenomena in natural or designed systems.