In clinical diagnostics, as in agricultural and food safety diagnostic, time-to-result and cost are the most important criteria for selecting analytical methods and may, in the most extreme situation, literally be a matter of life or death.
The combination of selected analytical as well as modelling methods described in this contribution seems to be very promising and usable also for other types of pyrolysis feedstocks.
In contrast, linear regression treats the RPS value as the independent variable, which is why it was selected as the analytical method for use in this trial simulation.
The analytical methods were selected and designed based on two main aspects: identification of soil type and characterization of physico-chemical factors influencing soil corrosivity.
On a case-by-case basis, depending on the GMP characteristics, the selected indicators, checkpoints and related analytical methods should consider different relevant spatial and temporal scales [2, 6].
On a case-by-case basis depending on the GMO characteristics, the selected indicators, checkpoints and related analytical methods should consider relevant different spatial and temporal scales [49, 22].
For the present study, a subset of the available analytical methods was selected: 201 metabolites covering the compound classes amino acids, biogenic amines and polyamines, reducing mono- and oliogosaccharides, glycerophospho- and sphingolipids, eicosanoids and other oxidized polyunsaturated fatty acids were detected and quantified.
Analytical methods were selected according to the purpose of each wave of data collection.
This team designed the study, developed or selected existing study instruments and analytical methods, and analyzed and interpreted the results.
There are numerous databases of material properties and analytical methods for selecting materials but these are mainly aimed at technical design.
