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After the material characterization, we have optimized the sample dissolution by acid attack in an oven under microwave irradiation.
In order to achieve this performance, we optimized the sample preparation, MS acquisition, and lipid identification approaches.
Once the hardware and the physical parameters of the sample environment have been optimized, the sample chemical composition needs to be carefully adjusted to maximize the C polarization of metabolic substrates.
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Based on a Bayesian design criterion, the optimal plan optimizes the sample allocation, stress combination, as well as the loading profile of the AAF.
Additionally, a fractional factorial design was used to shorten and optimize the sample extraction.
Optimizing the sample rate while processing signals provides many advantages to digital systems.
Direct tensile testing of ceramics was achieved by optimizing the sample dimensions and by identifying the proper gripping method.
Guidance is given for designing fragment screens, such as choosing the appropriate NMR screening format and method, and optimizing the sample conditions and experimental parameters.
After choosing preliminary conditions, an experimental design was carried out with the variables C18, PSA, NaOH and CH3COONa to optimize the sample preparation step.
The design optimizes the sample size, sampling interval, and control limits of the chart in order to minimize the mean number of defective units (denoted as MD) produced per out-of-control case.
To optimize the sample preparation different precipitation methods have been tested.
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CEO of Professional Science Editing for Scientists @ prosciediting.com