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Slope gradient, slope aspect, elevation were derived from digital elevation model (DEM).
Gradient slope, flow rates and injection volumes may be altered as appropriate to accommodate columns of differing dimensions.
A design-of-experiment (DoE) approach was then used to optimize column temperature, back-pressure and the gradient slope simultaneously.
Understanding this behavior has implications in the design of gradient elution since the gradient slope impacts protein recovery.
More importantly, the gradient slope was easily tunable over a significant distance from 20 to 30 mm.
SOC decreased as gradient slope increases and soils on concave slopes had higher SOC than soils on convex slopes.
Finally, practical implications for method development are discussed based on an experimental design where gradient slope and TFA concentrations are used as factors.
The critical method parameters (CMPs) included the flow rate, the gradient slope and the acetonitrile content at the first step of the gradient elution program.
The parameters involved were the outlet pressure, the gradient slope, the co-solvent composition and the drift tube temperature of the ELSD.
We show that the normalized gradient slope determines whether the protein elutes in the gradient, partially elutes, or is trapped in the column.
This approach also permitted to highlight the predominant effect of some parameters (e.g. gradient slope and pressure) on the retention of compounds.
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