Your English writing platform
Discover LudwigExact(1)
The data from each run of both VKH patients and normal controls appeared to be reproducible in terms of mass accuracy, retention time and intensity.
Similar(59)
Retention indices could be modeled with much better accuracy than retention times.
With the increased accuracy in retention time prediction, we were able to shorten the retention time window of our scheduled MRM analysis to 6 min, thereby enabling the monitoring of the same number of transitions within two LC-MS/MS runs without compromising the overall analytical performance.
In terms of the accuracy of retention time and peak area, both the mean of retention time variation and the mean of relative standard deviation of peak area of the aligned peaks are smaller than the corresponding values obtained by the variation window approach in all three sample groups (Table 1).
The accuracy of retention time predictions was very good with relative errors always less than 1% and in many cases around 0.5% (n = 32).
The global model showed reasonable prediction accuracy for retention time with errors of 30 s and less for up to 50% of modeled compounds.
It was found that the accuracy of retention time predictions of multi-step temperature gradients can be improved to around 1.5%, if ST was also calculated temperature dependent.
Concurrently, it was investigated whether the accuracy of retention time predictions of segmented temperature gradients can be further improved by temperature dependent calculation of the parameter ST of the LES relationship.
Furthermore this paper demonstrates the accuracy of retention time prediction at elevated pressure (enhanced flow-rate) and shows that the computer-assisted simulation can be applied with sufficient precision for UHPLC applications (p > 400 bar).
Mass accuracy tolerance, retention time tolerance, and software peak detection settings are essential ones and have been discussed before [ 9, 10, 23, 29].
High mass accuracy and retention of all spectral features (i.e., the mass defect) facilitate elemental composition assignment and identification, even in the absence of library spectra.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com