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Considering the selected drugs as models for many series of structurally related compounds, the design space defined and the optimum conditions computed are the key for method development on cinchona-based chiral stationary phases.
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Events were chosen (independent of the drugs) with the aim of generating a set which may be used for methods development on spontaneous reporting as well as EHRs.
It also provides further evidence on the value of the research method, called Cooperative Method Development, based on the collaboration of researchers and practitioners in carrying out empirical research; it has been used in a step of the performed study and has revealed to be instrumental for showing practitioners why to improve their development processes and how to do so.
A general approach to method development based on the concept of quality by design is described.
Method development based on pressurized liquid extraction technique was investigated for the extraction of spicatoside A from Liriope platyphylla.
Using data analysis in SkyLine software, peptides were selected for further method development based on (1) the signal detection (above baseline) of at least 5 of 7 co-eluting transitions and (2) a retention time within 7 min of that acquired in the initial spectral library (acquired under the same chromatographic conditions).
The initial method development was conducted on pure drug using working standards solution protected from light.
Method development was based on a D-optimal experimental design consisting of 16 LPC CHO mixtures.
This work illustrates a method development strategy, focusing on time reduction up to a factor 3 5, compared to the conventional HPLC method development and exhibits parts of the Design Space elaboration as requested by the FDA and ICH Q8R1.
For the depiction of method development we focused on the oxidation degree of Met-253 (most susceptible for oxidation), Met-83 (no susceptibility to oxidation in previous studies), and Trp-32.
Recent method development efforts focused on pre- or post-FASP fractionation to reduce the sample complexity and to improve proteome coverage.
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