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1 orrelated to fwhm) becomes a function of the drift time.
2  precursor fragmentation with their mobility drift time.
3 ution which results in a modification of IMS drift time.
4 d in the acyl chain causes a 5% reduction in drift time.
5 ysis by differences of up to 30% in mobility drift time.
6 400 micros) followed by a comparatively long drift time (25-100 ms), which translates into a loss of
7 LWC was used to compress the IMS data in the drift time and data acquisition dimensions on IMS data o
8 argue that the incorporation of ion mobility drift time and product ion information are worthy pursui
9           We also show that the inclusion of drift time and product ion information results in higher
10 ntation spectra, exhibit very distinctive IM drift times and collision cross sections (CCS).
11 r nitrogen has a dramatic effect on measured drift times and must not be ignored when comparing and i
12 pects of the data, particularly ion mobility drift times and product ion information.
13 o fragment 50% of a selected precursor ion), drift time, and collision induced dissociation (CID) spe
14 ith mass to charge ratio (m/z), ion mobility drift time, and intensity information for each individua
15 from low to high while monitoring a specific drift time, and the resulting data were processed to cre
16 nderstand potential deviations from expected drift time behaviors.
17 base of 8675 peptide sequences with measured drift times, both techniques statistically significantly
18              These instruments often rely on drift-time calibrants to perform qualitative identificat
19 sors and overlapping in m/z but separated in drift time can be examined individually.
20 erest is based on the fact that the measured drift times can be converted into collision cross sectio
21 ative parameters including m/z distribution, drift time, carbon number range, and associated double b
22 periments showed a dramatic shift to shorter drift times caused by conformational changes upon metal
23 es are here shown to be highly reproducible (drift time coefficients of variation < 1.0% and isotopic
24                 From experimentally measured drift times, collision cross-sections can be deduced.
25  downward saccades with the PE in abduction, drift time constants averaged 35 ms; (3) peak dynamic bl
26     In contrast, considerable differences in drift times detected were found with increasing humidity
27 his paper introduces a strategy for accurate drift time determination using traveling wave ion mobili
28 f peptides to accurately predict a peptide's drift time directly from its amino acid sequence.
29                                Extracted ion drift time distributions (XIDTDs) of deuterated peptic p
30                                 Ion mobility drift times, flight times, relative signal intensities,
31 ure to convert measured physical quantities (drift time for TWIMS and elution voltage for TIMS) into
32                                       T-wave drift-times for the protonated diastereomers betamethaso
33                                              Drift times from TWIMS were calibrated to CCSs using eit
34 ave incorporated ion mobility and subsequent drift time gating into the UVPD method allowing the sepa
35 precisely preserves the peak location (i.e., drift time), height, and shape.
36 lude m/z value, drift time in He buffer gas, drift time in He and D2O buffer gases, deuterium incorpo
37 ique information for ions include m/z value, drift time in He buffer gas, drift time in He and D2O bu
38 ly derived relationship between mobility and drift time in TWIMS stacked ring ion guide (SRIG) and co
39 imilar mass-to-charge ratios with dissimilar drift times in complex biological samples removes some s
40 uctural isomers exhibited different mobility drift times in either system, depending on differences i
41 structural isomers have remarkably different drift times in ion mobility separation, corresponding to
42  separation (based on the retention time and drift time information) and identification of an analyte
43        The possibility of false positives by drift time interferences and false negatives by competit
44 has been studied using mass spectrometry and drift time ion mobility mass spectrometry (DT IM-MS) in
45 e mass spectrometry and variable-temperature drift time ion mobility mass spectrometry (VT-DT-IM-MS).
46 ycotoxins were considered and analyzed using drift time ion mobility mass spectrometry.
47                                If an optimal drift time is calculated for each voltage and scanned si
48                                          The drift time is reduced at a rate of approximately 1% for
49                  Corresponding ions, masses, drift times, K(o) values, and arbitrary signal intensiti
50 our previously reported observation that the drift time-m/z relationship for singly charged phosphory
51 or 113 peptide ions determined directly from drift times measured in a low-pressure, ambient temperat
52 e ions and the errors concomitant with using drift times measured in N(2) gas to estimate Omega(He).
53 ently cannot be determined directly from the drift times measured.
54 ce of numerous isomers could be ruled out by drift time measurements and molecular modeling together
55                    This has implications for drift time measurements, made on traveling wave ion mobi
56 f the IMS system, while maintaining accurate drift time measurements.
57                            RI, ECOM(50), and drift-time models are used for filtering compounds downl
58 field created by a large peak influences the drift time of a neighboring small peak.
59 re, we analyze the effect of nitrogen on the drift time of a series of cationic 1,10-phenanthroline c
60 ak full width at half-maximum (fwhm) and the drift time of model compounds for wide range of settings
61 arkers by LAESI can be enhanced by using the drift times of individual ions as an additional paramete
62    In general, drift time patterns (relative drift times of isomers) matched between the two instrume
63 of cross sections, mobilities and associated drift times of peptides, thereby enhancing downstream da
64 rization of the attached glycan based on the drift times of the monosaccharide product ions generated
65  such as resolution, theoretical plates, and drift times of the parabens were also evaluated based on
66                      By compressing both the drift time order and the spectrum acquisition order, gre
67                                  In general, drift time patterns (relative drift times of isomers) ma
68 o IMMS data, which allows one to compare m/z-drift time plots to highlight differences between sample
69 s-phase IR spectra of simultaneously m/z and drift-time-resolved species of benzocaine.
70 ture property relationship-based modeling of drift times showed a better correlation with experimenta
71  beam, it is possible to successfully obtain drift time spectra for an assortment of simple peptide a
72 r correlation with experimentally determined drift times than did Mobcal cross-sectional areas.
73 s that are formed in the collision cell have drift times that are coincident with their antecedent pa
74  CS and HS disaccharide isomers have similar drift times, they can be uniquely distinguished by their
75  a frequency that is resonant with the ion's drift time through each region.
76 ge state are separated based on their unique drift times through the TWIM region.
77 sing TWIMS in N2 drift gas, and the observed drift time trends compared.
78 eters: The apex of the peak (A) and the mean drift time value (mu).
79                                              Drift time values of low charged multiply protonated mol
80 ar dynamics simulation predicted theoretical drift time values, which were in good agreement with exp
81 arge state, LC elution time and ion mobility drift time values.
82                      Comparative analysis of drift time versus mass-to-charge ratio plots was perform
83                         Calibration of these drift-times yields T-wave Omega(N(2)) values of 189.4 an

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