1) Examine how moisture and temperature influence indoor mycotoxin production and 2) Identify known and novel mycotoxins in dust utilizing analytical chemistry methods.
Dust samples will be collected from homes and incubated at varying moisture levels (50-85%) to investigate the influence of moisture on mycotoxin production. Samples will be examined for presence of specific known indoor mycotoxins using both liquid chromatography-mass spectrometry (LC-MS) and enzyme-linked immunosorbent assay (ELISA). Once a protocol to detect mycotoxins has been developed it will be expanded on a machine learning will be used to systematically identify known and previously unknown indoor mycotoxins.
Results from this work will increase our ability to detect previously ‘masked’ mycotoxins while also expanding current known indoor mycotoxins. This work will culminate in an indoor mycotoxin database using both previously known mycotoxins and novel mycotoxins detected through this study.