Validation of the analytical method showed its capability to quantitatively determine nanoparticles at low concentrations.
Combining the mathematical power of an analytical method and the modeling capability of simulation with optimization approach called hybrid simulation-analytical modeling has been presented rarely.
We report the development of a simple analytical method that offers reagentless sensing capabilities by using a copper sensor for monitoring melamine.
Challenges with analytical method, e.g. method transfer, capabilities of QC lab, were noted.
Due to multi-parameters to be examined and a large number of experiments involved in validation, it is important to design the experiments scientifically so that appropriate validation parameters can be examined simultaneously to provide a sound, overall knowledge of the capabilities of the analytical method.
Using of experimental data and an appropriate analytical method, the performance and energy reduction capability of combined system has been evaluated through the cooling season.
Such experimental capabilities demand development of analytical method for rapid extraction and identification of different phases, and mapping their spatial distribution.
The results show that the analytical method is more efficient in determining maximum wrench capabilities than the scaling factor method.
Recently, two methods, namely, a numerical, optimization-based scaling factor method and an analytical method, have been proposed for determining the wrench capabilities of redundant planar parallel manipulators.
A scaling factor method and an analytical method were presented in Ref. [74] to determine the wrench capabilities of active overconstrained PMs.
On the other hand, the agent-based modeling (being an analytical method) is becoming popular to model social systems due to its capability of representing entities and their interactions (Gilbert and Troitzsch 2005).
