戻る
「早戻しボタン」を押すと検索画面に戻ります。 [閉じる]

コーパス検索結果 (１語後でソート)

通し番号をクリックするとPubMedの該当ページを表示します
1 or segments of the 2D mobiligram (m/z versus drift time).
2 th- and mobility-dependent variations in ion drift time.
3 orrelated to fwhm) becomes a function of the drift time.
4  precursor fragmentation with their mobility drift time.
5 ution which results in a modification of IMS drift time.
6 d in the acyl chain causes a 5% reduction in drift time.
7 ysis by differences of up to 30% in mobility drift time.
8 400 micros) followed by a comparatively long drift time (25-100 ms), which translates into a loss of
9 imensions: high-resolution LC separation, IM drift time, accurate mass precursor, and fragment ion me
10 es, which can be further characterized using drift-time alignment of product and precursor ions disti
11                                   Such short drift times allow for a significantly increased repetiti
12 LWC was used to compress the IMS data in the drift time and data acquisition dimensions on IMS data o
13 argue that the incorporation of ion mobility drift time and product ion information are worthy pursui
14           We also show that the inclusion of drift time and product ion information results in higher
15 ntation spectra, exhibit very distinctive IM drift times and collision cross sections (CCS).
16              Comparison of both the fragment drift times and IR spectra with those of suitable refere
17 r nitrogen has a dramatic effect on measured drift times and must not be ignored when comparing and i
18 nomers and fragment ions with characteristic drift times and peak intensities, associated with ion ma
19 pects of the data, particularly ion mobility drift times and product ion information.
20                            To further reduce drift times and thus increase the repetition rate, heliu
21 o fragment 50% of a selected precursor ion), drift time, and collision induced dissociation (CID) spe
22 ith mass to charge ratio (m/z), ion mobility drift time, and intensity information for each individua
23 from low to high while monitoring a specific drift time, and the resulting data were processed to cre
24 nderstand potential deviations from expected drift time behaviors.
25 ced mobility of just 0.94 cm(2)/(V s) have a drift time below 1.6 ms.
26                                  Ions with a drift time between 9 and 18 ms in the first drift region
27 base of 8675 peptide sequences with measured drift times, both techniques statistically significantly
28 onosaccharide regioisomers which differed in drift time by only 0.8%.
29              These instruments often rely on drift-time calibrants to perform qualitative identificat
30 sors and overlapping in m/z but separated in drift time can be examined individually.
31 erest is based on the fact that the measured drift times can be converted into collision cross sectio
32 ative parameters including m/z distribution, drift time, carbon number range, and associated double b
33 periments showed a dramatic shift to shorter drift times caused by conformational changes upon metal
34 es are here shown to be highly reproducible (drift time coefficients of variation < 1.0% and isotopic
35                 From experimentally measured drift times, collision cross-sections can be deduced.
36  downward saccades with the PE in abduction, drift time constants averaged 35 ms; (3) peak dynamic bl
37                               Interestingly, drift time data enabled the recognition of multiply char
38     In contrast, considerable differences in drift times detected were found with increasing humidity
39 his paper introduces a strategy for accurate drift time determination using traveling wave ion mobili
40 f peptides to accurately predict a peptide's drift time directly from its amino acid sequence.
41                                Extracted ion drift time distributions (XIDTDs) of deuterated peptic p
42 al isotopic composition and nearly identical drift time distributions, these isomers could not be dis
43                                 Ion mobility drift times, flight times, relative signal intensities,
44 ure to convert measured physical quantities (drift time for TWIMS and elution voltage for TIMS) into
45                     Specific combinations of drift times for fragments and precursor ions provide add
46 accharides, which provided us with reference drift times for fragments of known conformation.
47                                     Plots of drift times for pairs of protonated monomer and fragment
48                                       T-wave drift-times for the protonated diastereomers betamethaso
49                                              Drift times from TWIMS were calibrated to CCSs using eit
50 ave incorporated ion mobility and subsequent drift time gating into the UVPD method allowing the sepa
51 precisely preserves the peak location (i.e., drift time), height, and shape.
52                                     Existing drift time IMS cells utilize a static voltage typically
53 pproach to increase the resolving power of a drift time IMS without employing higher drift voltages a
54 lude m/z value, drift time in He buffer gas, drift time in He and D2O buffer gases, deuterium incorpo
55 ique information for ions include m/z value, drift time in He buffer gas, drift time in He and D2O bu
56 ly derived relationship between mobility and drift time in TWIMS stacked ring ion guide (SRIG) and co
57 imilar mass-to-charge ratios with dissimilar drift times in complex biological samples removes some s
58 uctural isomers exhibited different mobility drift times in either system, depending on differences i
59 structural isomers have remarkably different drift times in ion mobility separation, corresponding to
60 ndent acquisition (DDA) by considering their drift times in traveling wave ion mobility spectrometry
61  separation (based on the retention time and drift time information) and identification of an analyte
62 of the separation while preserving retention/drift time information.
63        The possibility of false positives by drift time interferences and false negatives by competit
64 has been studied using mass spectrometry and drift time ion mobility mass spectrometry (DT IM-MS) in
65 e mass spectrometry and variable-temperature drift time ion mobility mass spectrometry (VT-DT-IM-MS).
66 ycotoxins were considered and analyzed using drift time ion mobility mass spectrometry.
67                                If an optimal drift time is calculated for each voltage and scanned si
68                                          The drift time is reduced at a rate of approximately 1% for
69                  Corresponding ions, masses, drift times, K(o) values, and arbitrary signal intensiti
70 our previously reported observation that the drift time-m/z relationship for singly charged phosphory
71 ding to appropriate rules that depend on the drift times measured by ion mobility spectrometry for re
72  "wrap-around" can be mitigated by comparing drift times measured during single- and multipass experi
73 or 113 peptide ions determined directly from drift times measured in a low-pressure, ambient temperat
74 e ions and the errors concomitant with using drift times measured in N(2) gas to estimate Omega(He).
75 ently cannot be determined directly from the drift times measured.
76                   Overall analysis times and drift time measurement precision were found to be unaffe
77 ce of numerous isomers could be ruled out by drift time measurements and molecular modeling together
78                    This has implications for drift time measurements, made on traveling wave ion mobi
79 f the IMS system, while maintaining accurate drift time measurements.
80                            RI, ECOM(50), and drift-time models are used for filtering compounds downl
81 field created by a large peak influences the drift time of a neighboring small peak.
82 re, we analyze the effect of nitrogen on the drift time of a series of cationic 1,10-phenanthroline c
83 ak full width at half-maximum (fwhm) and the drift time of model compounds for wide range of settings
84 arkers by LAESI can be enhanced by using the drift times of individual ions as an additional paramete
85    In general, drift time patterns (relative drift times of isomers) matched between the two instrume
86 of cross sections, mobilities and associated drift times of peptides, thereby enhancing downstream da
87             The impact of water vapor on the drift times of small ions at different temperatures was
88 rization of the attached glycan based on the drift times of the monosaccharide product ions generated
89  such as resolution, theoretical plates, and drift times of the parabens were also evaluated based on
90                      By compressing both the drift time order and the spectrum acquisition order, gre
91                                  In general, drift time patterns (relative drift times of isomers) ma
92 o IMMS data, which allows one to compare m/z-drift time plots to highlight differences between sample
93                  Charge state distributions, drift time profiles, and collision cross sections were d
94  negative ion mobility spectrum, each with a drift time range of 13 ms (minimum reduced ion mobility
95 s-phase IR spectra of simultaneously m/z and drift-time-resolved species of benzocaine.
96  successfully separated and identified using drift time separation.
97 ture property relationship-based modeling of drift times showed a better correlation with experimenta
98 some caution when calibrating sample protein drift times simply with single numeric CCS values.
99 Experimental research consisted of recording drift time spectra for 2-pentanone and n-heptanone, at v
100  beam, it is possible to successfully obtain drift time spectra for an assortment of simple peptide a
101 orm ion mobility mass spectrometry (FT-IMMS) drift time spectra, we demonstrate significant time savi
102 r the lack of ion charge conservation in the drift time spectrum are ion recombination, mutual repuls
103                         A single peak in the drift time spectrum is usually generated by a mixture of
104 s contained in the area of peaks forming the drift time spectrum.
105 r correlation with experimentally determined drift times than did Mobcal cross-sectional areas.
106  by filtering the chromatogram to retain the drift time that corresponds to the unique gas-phase conf
107 s that are formed in the collision cell have drift times that are coincident with their antecedent pa
108  CS and HS disaccharide isomers have similar drift times, they can be uniquely distinguished by their
109 h the theoretical optimum potential at every drift time, this work solves the General Elution Problem
110  a frequency that is resonant with the ion's drift time through each region.
111 ge state are separated based on their unique drift times through the TWIM region.
112  to travel multiple passes, increasing their drift times to the detector and relative separation.
113        DI-ESI-TWIM-MS was able, via distinct drift times, to set apart different classes of metabolit
114 sing TWIMS in N2 drift gas, and the observed drift time trends compared.
115 eters: The apex of the peak (A) and the mean drift time value (mu).
116                                              Drift time values of low charged multiply protonated mol
117 ar dynamics simulation predicted theoretical drift time values, which were in good agreement with exp
118 arge state, LC elution time and ion mobility drift time values.
119 oach is limited by observed variation in ion drift time/velocity in these measurements.
120                      Comparative analysis of drift time versus mass-to-charge ratio plots was perform
121     Slope for plots of ion abundance against drift time was fitted by successive approximation betwee
122                                              Drift times were correlated with collisional cross secti
123                                        Short drift times while maintaining high resolving power are r
124                         Calibration of these drift-times yields T-wave Omega(N(2)) values of 189.4 an

 
Page Top