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Novel Quantitative Method to Detect Mold Growth in Buildings

Engineering & Physical Sciences
Electronics & Photonics
Sensors & Controls
Energy, Earth, & Environmental
Other
College
College of Engineering (COE)
Researchers
Dannemiller, Karen
Balasubrahmaniam, Neeraja
Bope, Ashleigh
Licensing Manager
Ashouripashaki, Mandana
5125867192
ashouri.2@osu.edu

T2023-231

The Need

Exposure to mold in homes costs billions of dollars every year. Exposure is particularly harmful to the 8% of the United States population that suffers from asthma; a leading cause of disability in children. Currently, odor, visible mold growth, and dampness are the best indicators of mold indoors. However, these measures are subjective. A new quantitative measurement tool is needed to assess growth of any species of fungi and potential adverse health outcomes.

The Technology

Dr. Karen Dannemiller's lab has developed an evidence-based measurement target for evaluation of mold growth in homes that is mold species-independent.

Commercial Applications

This genetic monitoring technique benefits industries concerned with mold monitoring and prevention, including:

  • Insurance: Detect moisture damage, assess risks, and reduce costs.
  • Mold Remediation: Verify that mold outbreaks have been cleared.
  • Public Health Agencies: Building inspections, public health initiatives, research.
  • Building Materials: Develop and validate materials that resist mold better.
  • Indoor Air Quality Monitoring: Testing kits to identify mold growth more effectively.

Benefits/Advantages

This technology offers several compelling benefits and advantages:

  • Early detection: Detects mold problems before they become severe or cause symptoms.
  • Accuracy: Current methods detect specific mold species. This technique is species independent and thus can detect rare harmful molds.
  • Quantitative: Genetic measurements are more precise and objective than observation of mold. Allows for statistical analysis and direct comparisons.

PCT Filed