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The main limitation of the RTI and RTP methods is that the sensor is an ion-selective microelectrode so the method is constrained to a few select substances of low molecular weight (MW).
In this reported study, simulations were conducted on select substances using the first-order reaction model (F1) and the general autocatalytic reaction model (Cn).
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The criteria applied in the second selection step (Figure 1) focussed on physico-chemical properties of the selected substances and preliminary screening for exposure indicating relevant concentrations in aquatic compartments.
The selected substances were thermally analyzed with the TG/DTA studies.
Out of the 23 selected substances, 14 showed a degradation of > 50% of their initial concentrations under aerobic conditions.
The influence of physical factors such as temperature, pressure and concentration of the selected substances with lighter gas is studied.
The selected substances were split into the training (80% of the substances) and the test (20% of the substances) sets of the model.
The ability of the nanosensors to detect the presence of single molecules of selected substances will be most relevant to homeland defense and combat against foes like Iraq.
Analytical protocols were established for a large number of compounds (47) with antimicrobial properties and the collected samples were then screened for the presence of these selected substances.
In the further course of this project, the water solubility (WP 2) of selected substances will be determined according to the OECD-Guideline 105.
The metabolism of one of the selected substances in aquatic organisms and the potential of bioaccumulation will be tested in WP 5.
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CEO of Professional Science Editing for Scientists @ prosciediting.com