Application of the Environmental Relative Moldiness Index in Indoor Marijuana Grow Operations

Kyle S Root1, Sheryl Magzamen1,2, Julia L Sharp3

  • 1Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA.

Abstract

Insights

Indoor marijuana grow operations (IMGOs) show high airborne mold levels. The Environmental Relative Moldiness Index (ERMI) shows potential but needs optimization for IMGO fungal species and worker health assessments.

Area of Science:

  • Environmental microbiology
  • Occupational health
  • Industrial hygiene

Background:

  • Increasing indoor marijuana grow operations (IMGOs) due to state-level legalization raise concerns about worker exposures.
  • Mold exposure is a significant occupational health risk in these environments.
  • Mold-specific quantitative polymerase chain reaction (MSQPCR) offers species-level fungal quantification.

Purpose of the Study:

  • To quantify airborne fungal burden in IMGOs using MSQPCR.
  • To evaluate the applicability of the airborne Environmental Relative Moldiness Index (ERMI) in IMGO settings.

Main Methods:

  • Air and dust samples collected from inside and outside IMGOs were analyzed using MSQPCR.
  • IMGO-specific ERMI scores were calculated from MSQPCR data.
  • Culturable air samples were analyzed via microscopy, and MSQPCR results were compared with culture-based methods.

Main Results:

  • Total airborne fungal concentration averaged approximately 9100 spore equivalents/m³.
  • Indoor/outdoor ratios indicated significantly higher indoor concentrations of fungal species, including Aspergillus spp.
  • An average airborne ERMI score of 7 suggested a high mold burden, primarily driven by Group 1 fungal species.

Conclusions:

  • IMGOs exhibit high airborne fungal concentrations.
  • The ERMI's utility as a rapid risk assessment tool in IMGOs is equivocal, as it did not identify all relevant species.
  • Further research is needed to optimize the ERMI's fungal catalog for occupational settings and link scores to worker health.