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The independent variable (predictor) is the intensity of photoluminescence at 398 nm and with use of logistic regression model connects ability of photocatalytic degradation of phenol (endpoint) with this experimentally derived property. The equation goes as follow: 4.32(±2.10) – 0.051(±0.03)(PL398) The developed model is included into the SAPNet workflow (Structure-Activity Prediction Network). In an additional step of SAPNet workflow developed model correlates the structure of a nanomaterial to the selected endpoint- photodegradation of phenol (τOH) by titanium dioxide synthesized in the presence of ionic liquids (IL). Each sample is described by surface area, the amount of nitrogen and carbon atoms, ionic liquid decomposition rate (ΔIL), molar ratio and the type of cations and anions, that influences photoluminescence
model, QSAR, QSPR, OECD, NanoSolveIT, nanomaterial, QMRF
model, QSAR, QSPR, OECD, NanoSolveIT, nanomaterial, QMRF
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