Wood burning contributes to indoor and ambient particulate
matter
(PM) pollution and has been associated with increased morbidity and
mortality. Here, we present an integrated methodology that allows
to generate, sample, and characterize wood smoke derived from different
moisture contents and representative combustion conditions using pine
wood as a model. Flaming, smoldering, and incomplete combustion were
assessed for low-moisture pine, whereas both low-moisture pine and
high-moisture pine were investigated under flaming conditions. Real-time
monitoring of carbon monoxide, volatile organic compounds, and aerosol
number concentration/size in wood smoke was performed. The PM was
size-fractionated, sampled, and characterized for elemental/organic
carbon, organic functional groups, and inorganic elements. Bioactivity
of PM was assessed by measuring the sterile alpha motif (SAM) pointed
domain containing ETS (E-twenty-six) transcription factor (SPDEF)
gene promoter activity in human embryonic kidney 293 (HEK-293T) cells,
a biomarker for mucin gene expression. Findings showed that moisture
content and combustion condition significantly affected the organic
and inorganic elemental composition of PM0.1 as well as
its bioactivity. Also, for a given moisture and combustion scenario,
PM chemistry and bioactivity differed considerably with PM size. Importantly,
PM0.1 from flaming combustion of low-moisture pine contained
the highest abundance of the oxygenated saturated aliphatic functional
group [H–C–O] and was also biologically most potent
in stimulating SPDEF promoter activity, suggesting the role of organic
compounds such as carbohydrates and sugar alcohols (that contain [H–C–O])
in driving mucus-related respiratory outcomes. Our platform enables
further well-controlled parametric studies using a combination of
in vitro and in vivo approaches to link wood burning parameters with
acute and chronic inhalation health effects of wood smoke.