The esters showed optimal extraction using an extraction temperature of 30 °C during 20 min, and a subsequent purge volume of 300 mL and dry volume of 50 mL.
These rules include the selection of adsorbent, particle size, bed size, bed configuration, purge volume, pressure equalization and vacuum swing adsorption.
Moreover, the diameter of the purge valve has a great impact on the voltage stability because a diameter change will result in a different pressure drop and purge volume when the purge valve is open.
The results show that under the optimal purge strategy, the DEA fuel cell stack can achieve the desired stability and system efficiency based on the analysis of the cell voltage and purge volume.
It has been possible to individuate the following optimized conditions: incubation temperature 40 °C, purge volume 800 mL, dry volume 1500 mL, TDU hold time 5 min and incubation time 10 min.
Groundwater samples acquired using pumps and bailers in conventional monitoring wells yield data which are largely dependent upon the length of the screened interval, the purging and sampling method employed, and the purge volume extracted prior to sample collection.
The extraction was carried out with n-hexane at 100°C in 2 cycles of 10 min static time with 60% purge volume and 120 s purge time.
The approximately 13 to 18 wet well volumes of purging necessary to reach ambient groundwater conditions outside the zone of influence of the monitoring well (6 m screen immediately below the water table, 5.1 cm diameter) is in contrast to the much smaller purge volume needed in the laboratory spike and purging test to flush the pump-hose assembly.
On the other 16 monitoring wells in this 2 dairy network, average purging volume needed ranged from 83 L to 101 L (6.5 to 8 well volumes) during as many as 19 sampling campaigns (mostly to collect water samples for N species and salinity analysis).
Most of the parameters that affect the extraction step such as temperature, pressure, static extraction time, number of cycles, purge time and flush volume were optimized using a fractional experimental design.
Parameters implied in the extraction process; such us temperature, static time, number of extraction cycles, purge time and flush volume; have been optimised using a formal methodology based on statistical experimental design in order to obtain the best results.
