A study was conducted to characterize the indoor environment of a multifloor, multiuse, nonproblem, noncompliant building through long‐term monitoring for biological, chemical, and particulate pollutants. The study also assessed the effects of cleaning on indoor air quality by providing a program to monitor baseline levels, providing a rigorous (deep) cleaning of the building, and then continuing to monitor after implementation of a standardized, improved, cleaning program. To assess the effectiveness of the cleaning program, air, surface, and dust data from monitoring prior to the cleaning program were compared with those obtained while the improved housekeeping program was in place. Correlations between pollutants and other environmental factors were studied. The data suggest that the improved cleaning program contributed to indoor air quality through the reduction of airborne dust mass, total volatile organic compounds, and culturable bacteria and fungi.
Henry’s law constants (k
H) were
measured (at 30 °C) and modeled for a suite of fragrance and
solvent compounds in aqueous solutions of three structurally diverse
industrial surfactants: sodium dodecylbenzene sulfonate (NaDBS), tetradecylbenzyldimethyl
ammonium chloride (TDBAC), and a linear alkyl ethoxylate, Neodol 1,9. k
H values for limonene, β-pinene, toluene,
and trichloroethene were examined as a function of surfactant concentration.
When compared to TCE and toluene, the fragrances limonene and β-pinene
with their larger values of molecular polarizability (ὰmol = (17.94 ± 0.5) Å3and (17.34 ±
0.5) Å3, respectively) and greater hydrophobic character
exhibited greater affinity for micelles of the linear alkyl ethoxylate
relative to those of NaDBS and TDBAC and greater selectivity overall
in their interaction(s) with micelles of varying carbon content (C
n
). Using a linear solvation energy relationship
(LSER) of the form ln k
H = C + sπ2* + aΣα2 + bΣβ2 (π2* = solute dipolarity/polarizability; Σα2 = overall solute hydrogen-bond-donor acidity; Σβ2 = overall solute hydrogen-bond-acceptor basicity; C = a regression constant) as an additional correlation
and characterization tool, we find the large negative coefficients
on π2*, Σα2, and Σβ2 consistent with the inverse correlation between ln k
H and the magnitude of solute–solvent
interactions in the condensed phase; C decreases
with increasing size of the micellar phase. The dominance of HBD and
HBA interactions (Σα2 and Σβ2, respectively) in the LSER for the alkyl ethoxylate points
to the role of the ethylene oxide outer portion of the Neodol 1,9
micelles along with the effect of intercalated water.
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