Understanding the Mold Index
A predictive, scientific approach to identifying environments favorable to mold growth—before visible damage occurs.
The Science Behind It
The MaxLinc Mold Index is rooted in established mathematical models of mold growth, originally developed for the most vulnerable building materials (like untreated wood).
In scientific literature, mold risk is often calculated on a technical 1 to 6 scale. While accurate for researchers, this scale can be unintuitive for facility managers and property owners.
To make this vital data immediately actionable, we map this scientific 1-6 scale seamlessly onto a simple, user-friendly 0% to 100% gauge.
What the Mold Index Is (And Isn't)
It is NOT a mold detector
The Mold Index does not show whether you certainly have mold or not. Our sensors do not detect physical mold spores in the air or on surfaces.
It IS a cumulative risk indicator
It provides an indication of how favorable the environment is for mold growth. Because mold requires time to grow, the index is a cumulative number—not a momentary snapshot. It factors in prolonged exposure to specific temperature and humidity combinations.
How Our Devices Help You
Early Warning
By tracking cumulative environmental data, you receive alerts when conditions become dangerous, long before mold becomes visible.
Predictive Maintenance
Identify areas with chronic humidity issues or poor ventilation, allowing you to fix structural or HVAC problems proactively.
Damage Prevention
Protect valuable assets, from building materials to museum artifacts and agricultural yields, by maintaining a 0% mold index.
Scientific References
The MaxLinc Mold Index utilizes established empirical models for predicting mold growth on wooden and other building materials under fluctuating temperature and humidity conditions.
- Ojanen, T., & Viitanen, H. (Mathematical modeling of mold growth on wooden material).
- VTT Technical Research Centre of Finland models for hygrothermal performance and mold risk.