Abstract
As the resolution of analytical methods improves, further progress tends to be increasingly limited by instrumental parameter instabilities that could be ignored before. This is now the case with differential ion mobility spectrometry (FAIMS), where fluctuations of the voltages and gas pressure have become critical. A new high-definition generator for FAIMS compensation voltage reported here provides a stable and accurate output than can be scanned with negligible steps. This reduces the spectral drift and peak width, thus improving the resolving power (R) and resolution. The gain for multiply-charged peptides that have narrowest peaks is up to ~40%, and R ~ 400 – 500 is achievable using He/N2 or H2/N2 gas mixtures.
Introduction
An unglamorous yet crucial facet of analytical sciences is the art of precise measurement. Once a novel experimental concept is established, it takes a sustained effort to substantially tighten the precision and accuracy by identifying and minimizing various sources of systematic and random error in the instrumental method and data interpretation. We have embarked on such an endeavor to improve the resolving power (R), precision, and accuracy of field asymmetric waveform ion mobility spectrometry (FAIMS).
Mobilities of ions in gases (K) depend on the electric field intensity (E), and FAIMS captures the increment of K between two E values directly, employing a periodic asymmetric field in a gap between two electrodes that carry a corresponding voltage waveform [1, 2]. Had the K(E) function been flat, ions would have oscillated across the gap without separation. As the mean E values and therefore mobilities for any species at two waveform polarities differ, all ions experience net drift (on top of oscillation) toward either electrode where they are neutralized on contact [1, 2]. For a particular species, that drift can be offset by a constant weak “compensation field” (EC) superposed on the above separating field. That species is equilibrated in the gap and, pulled by gas flow, could traverse the gap and be registered by a mass spectrometer or another detector. Thus scanning EC reveals the spectrum of ions entering the gap. The ideal rectangular waveform profile is a challenge to engineer at voltages needed for high resolution, and suboptimum but more practical profiles based on harmonic oscillations have been adopted [2 – 4]. Here, we use the most common bisinusoidal profile.
Initially, FAIMS was implemented in 1980-s in portable instruments for detection of explosives and airborne chemical pollutants [2, 5]. A decade ago, integration with electrospray ionization mass spectrometry (ESI/MS) has launched the ongoing expansion of FAIMS to biological and environmental analyses, including in proteomics and metabolomics [6, 7]. These applications involve extraordinarily complex mixtures, creating a virtually open-ended need for resolution and peak capacity of separations preceding the MS step [8]. Hence the resolving powers of liquid chromatography and conventional IMS (based on the absolute ion mobilities) are steadily increasing [9, 10].
In FAIMS, R is defined as EC divided by the peak width at half maximum (w) and thus depends on the species [2]. However, the value(s) for a given analyte or set of similar analytes (e.g., tryptic peptides) can be used to compare the separation power with different instruments or regimes. The resolving power of FAIMS remained low (~10) for the two decades since its invention [11, 12], but has improved to >100 in recent years [12 – 19]. First, the realization that inhomogeneous electric field in curved analytical gaps necessarily constrains resolution by allowing multiple equilibrium conditions has led to the transition from cylindrical (spherical) to planar gaps with homogeneous field, where only one species can be stable [13]. Second, higher amplitude of separating field (termed the dispersion field, ED) and utilization of buffer gases lighter than air (such as He) that raise K dramatically improve resolution with planar FAIMS devices, as the peak separation generally grows while all peaks narrow [12, 14 – 16]. (In curved gaps, increasing ED and/or the He fraction tends to also raise CV and thus improve resolution, but concomitant peak broadening moderates the gain [20]). In particular, use of He/N2 mixtures with up to 75% He (v/v) at ED = 21 kV/cm or 50% He at ED = 27 kV/cm has enabled raising R for the reserpine standard with charge state (z) of 1+ to ~30 and for peptides with z = 3 or 4 to ~200 using the “normal” filtering time [14, 15] of t = 0.2 s and to ~60 and ~300, respectively, at extended [16] t ~ 0.5 – 0.8 s. Continued increases of ED and/or He content would have augmented the resolving power further, but are precluded by electrical breakdown in the gap. Replacing He by hydrogen with much higher breakdown threshold allows [8] reducing the N2 fraction at ED = 27 kV/cm to ~10%, and R for 1+ ions reaches up to ~180.
Another path is doping the gas with vapors such as water or alcohols that reversibly complex to ions, solvating them at lower ion temperatures during the weak-field segment and desolvating at higher temperatures in the strong-field segment [17 – 19]. This process disproportionately elevates the ion-molecule cross sections at low E, which expands the difference between mobilities at high and low E when the first exceeds the second. This strategy has been effective for smaller singly-charged ions typical of metabolites or signatures of explosives, but not so far for multiply-charged peptides or proteins.
As an instrument method is perfected, the resolution and precision often become limited by parameter fluctuations more than fundamental constraints. To illustrate, early linear time-of-flight MS provided R ~ 100, determined largely by the initial spread of ion velocities and Coulomb repulsion, with the stability of voltage drop besides the point [21]. That spread has been effectively addressed in orthogonal-acceleration reflectron ToF MS systems, where R ~ 103 – 104 is affected by factors such as spatial non-uniformity of electric field, jitter in detector circuits, and (most relevant to this work) power supply instability [22, 23]. Likewise in FAIMS, raising R from ~10 to >102 has brought the stability of experimental parameters to the forefront. A major one is the voltage across the gap, incorporating the asymmetric waveform and “compensation voltage” (CV) that produces EC. Here we report a new generator that outputs more stable CVs with finer scan steps. This platform narrows spectral peaks, increasing R by up to ~35% - up to ~500 for multiply-charged peptides.
Instrument Development
The planar FAIMS device with gap width of 1.88 mm, coupled to an ion trap MS analyzer (Thermo LTQ) via electrodynamic funnel interface, has been detailed [8, 13 – 16]. As described, the sum of CV and bias voltage is added to waveform and applied to one electrode, while a separately generated bias is loaded on the opposite electrode. Both CV and bias are derived from the control PC using a 16-bit digital-to-analog converter (USB-6229 from National Instruments, Austin, TX) with the customary 0 – 10 V range and four analog outputs. Previously, that output was amplified to the needed ~130 – 200 V range by linear scaling, resulting in the minimum step of 200 V/216 = 3.1 mV. For software considerations, the actual step was ~7 mV. The new design features an adjustable CV offset and span such that the step is proportional to scanned CV range. Even for a wide range of 40 V, the step of mere 0.6 mV is negligible compared to the minimum w ~ 100 mV. The variable offset decouples the step from bias and CV and lifts the limitations on bias and CV ranges, which allows setting higher absolute CVs while keeping the maximum resolving power and optimum bias for best ion transmission.
More importantly, the original amplifier utilized the PA85 high voltage op-amps by Cirrus Logic (Austin, TX) with unnecessarily high frequency response and no frequency roll-off filters. These have been replaced by programmable high voltage DC-to-DC converters (C10 from EMCO, Sutter Creek, CA) with 1 kV range, 0.3% line and load regulation specifications, and <0.01%/hour drift of voltage output. These devices used thermally stable passive components for input signal conditioning and a regulated 15 V power supply. The ripple at full load was <50 ppm according to specifications and 20 – 25 ppm on an oscilloscope. The high-frequency noise in the output (200 – 250 kHz) is suppressed by a two-stage LC filter. This hardware provides a stable and accurate CV scale, in contrast to the (slow) temporal CV drift of up to ~1 V in the previous system as electronic elements heated during operation. As a bonus, the new amplifier is physically smaller by an order of magnitude. The improved voltage stability with new hardware is evident from Figures 1 and S1 (Supporting Information), with the peak-to-peak CV excursions measured over the 2 s and 60 s periods dropping from 38 mV to 7.8 mV and from 35 mV to 8.8 mV, respectively.
Fig. 1.
Oscilloscope traces for CV output from the generator over 60 s with the previous (left panel) and present (right panel) systems. A version including the data with finer time resolution is shown in Fig. S1.
Operational parameters were close to those in earlier studies using He/N2 and H2/N2 gases with the waveform amplitude (dispersion voltage, DV) of 5.4 kV. The gas flow to FAIMS unit (Q) was “normal” (2 L/min) or “reduced” (0.57 – 0.76 L/min), translating into the filtering time (t) of “standard” 0.2 s or “extended” 0.5 – 0.7 s, respectively [16]. Solutions in 50/49/1 methanol/water/acetic acid (~10 µM) were infused to the ESI source at 0.4 – 1 uL/min. The scan speeds were 1 – 2 V/(cm × min). The He fractions in He/N2 here were 46.5 – 48% (i.e., below the previous maximum of 50%) [15, 16] to provide a wider margin of safety against electrical breakdown. Also, the gas pressure in the FAIMS gap was somewhat higher than in the previous experiments [17] because of weather conditions. The mean peak widths (<w>) and R values were derived from replicate analyses, with error margins stated as 95% confidence intervals.
Results
Evaluation started from the common standard of reserpine (1+) that produced a single FAIMS peak [14 – 16]. That was now found at EC = 53.9 V/cm, less than the previous [15, 16] EC = 62.7 V/cm because of lower He concentration (46.5% vs. 50%), slightly higher gas pressure, and more accurate EC scale as explained above. With t = 0.7 s, the three runs comprising 43 replicates (Figure S2, Supporting Information) had similar <w> and error margins, with overall <w> = 0.785 ± 0.020 V/cm and thus R = 69 ± 2. This is 15% better than the previous [16] R = 60 despite lower EC, the gain at same EC is 33%.
As the discreteness, jitter, and drift of CV in preceding electronics were in absolute terms, the advantage of new system must maximize for the narrowest features. Hence performance was tested for our benchmark peptide Syntide 2 (S2) 3+ that gave rise to sharp FAIMS peaks [8, 14 – 16]. At 50% He and extended t, the spectrum consisted of a smaller feature I and dominant peak II at higher EC = 242 V/cm (with <w> = 0.742 ± 0.052 V/cm and R = 328 ± 23, the highest achieved in FAIMS [16]). That spectrum was reproduced here (Figure 2 a, b), with lower EC values (223 V/cm for II) because of smaller He fraction (48%) and, again, higher ambient pressure and more accurate EC scale. The relative EC shifts compared to previous data at same gas composition depend on the species because (i) different ions have unequal K(E) and thus EC(ED) dependences and (ii) the EC scale offset translates into different relative changes for different EC ranges. A window around II was scanned in four runs with 66 total spectra (Figure 2c, Figure S3 in Supporting Information). The mean w and error margins for these runs were also close, with overall <w> = 0.538 ± 0.019 V/cm and thus R = 415 ± 15. This is a 38% resolution gain over [16] at same EC and 27% gain over the maximum R = 328 ± 23 therein, despite lower EC.
Fig. 2.
Measurements for Syntide 2 (3+ ion): (a) full spectrum, (b) a window around the peak II, (c) a run of 20 consecutive replicate windows, each scanned in 75 s. Four runs with 66 windows total are shown in Fig. S2. Temporal variation of the signal seen here is typical for low-intensity ion fluxes from ESI [15].
Replacing He/N2 by H2/N2 with equal N2 fraction changes FAIMS spectra little [8], except peaks narrow slightly because of greater ion mobility in H2. Hence the benefit of new driver for mixtures containing He and H2 should be similar. Indeed, at 50% H2 and extended t, the same peak II has EC = 228.4 V/cm and, based on 37 replicates, <w> = 0.519 ± 0.027 V/cm and R = 441 ± 23 (Figure S4, Supporting Information).
Higher hydrogen content permits same or higher resolution at shorter filtering times [8]. Previous analyses of S2 with z = 3 and 4 were limited [8] to H2 fractions under 60 – 70% by insufficient CV range and severe peak shape distortions due to CV jitter. We now extended the measurements to maximum H2 fraction that avoids breakdown, and EC values continue increasing (Figure 3). The slope of EC as a function of H2 content is first rising and then dropping above ~75% H2, perhaps reflecting the non-Blanc enhancement of EC and resolving power in mixtures of gases with disparate molecular masses [24]. This effect has been observed for “type A” ions with positive K(E) slope and thus negative EC (at ED > 0) in N2/CO2 mixtures [24, 25], but not “type C” ions with negative K(E) slope and thus EC > 0 (perhaps because the He fraction in He/N2 mixtures is limited to ~70 – 75% by electrical breakdown). At 86% H2 and t = 0.2 s, the peak II for 3+ ions comes at EC = 351.5 V/cm and, based on 31 replicates, has <w> = 0.764 ± 0.047 V/cm and R = 462 ± 29 (Figure S5, Supporting Information). This value exceeds R ~ 220 achieved [15] for same peak in equal time using He/N2 by over twofold and the highest FAIMS resolving power previously demonstrated under any circumstances [16] by 40%.
Fig. 3.
Measured EC values for Syntide 2 with z = 3 and 4 in H2/N2 gas mixtures.
When measuring physical quantities such as bond energies, one usually accepts the average of consecutively acquired data. However, such averaging arguably underestimates the metrics (e.g., resolution or sensitivity) of analytical methods, where using the superior of several replicates is routine. The expectation value for best of n replicates is the mean of upper 1/n part of statistical sample ranked by the metrics in question. With a reasonable n of 2 or 3, the calculated R values (Table 1) exceed the averages of all replicates by 7 – 10% (for reserpine) and 13 – 20% (for S2), indicating that even better resolution is possible. Such deviations are caused by significant variations of peak widths and associated scatter of EC values obvious in the spectra, especially for S2 ions where the resolving power is much higher. These variations must ensue from fluctuations of instrumental parameters besides CV while scanning across a peak. Stabilizing those parameters (mainly DV and gas pressure) along with the CV dealt with here would advance FAIMS performance further. As EC values in most cases are controlled by ED/N (where N is the gas number density) and not ED per se [1, 2], stabilizing that ratio by measuring N in real time and scaling DV in proportion as in the SelexIon system (AB Sciex) [26] should help. However, the behavior of large macro ions appears governed by alignment of their electric dipoles, which depends on ED and N individually [27, 28] rather than ED/N. Then stabilizing ED/N may be not enough, and both ED and N may need to be stabilized through operation in a sealed enclosure (e.g., pressurized at 760 Torr) rather than ambient pressure.
Table 1.
Statistically expected resolving power metrics for the best of n tries.
System, data source | n = 1a | n = 2b | n = 3b |
---|---|---|---|
Reserpine in He/N2, Figure S2 | 69 ± 2 | 74 ± 2 | 76 ± 3 |
Syntide 2 in He/N2, Figure S3 | 415 ± 15 | 468 ± 19 | 494 ± 24 |
Syntide 2 in H2/N2, Figure S4 | 441 ± 23 | 508 ± 19 | 528 ± 22 |
Syntide 2 in H2/N2, Figure S5 | 462 ± 29 | 532 ± 21 | 549 ± 27 |
Metrics in the text.
Statistical error margins for n = 2 and 3 are close to those for n = 1 despite fewer replicates because the peak widths in the lower half (third) of the distribution are more similar than in the whole.
Resolution for isomers of macromolecules such as proteins in IMS and FAIMS is often limited not instrumentally, but by multiplicity of “co-eluting” conformers that materially broadens the peaks [27, 29]. However, large “middle-down” peptides (~3 kDa) with z = 5 – 7 had [30, 31] the same peak width in FAIMS as smaller tryptic peptides (~1.5 kDa) with z = 3 or 4, even at the previously highest R ~ 300. Would the separation power gains reported here extend to such analytes? At 70% H2, the H3 histone tails ARTK4QTARK9STGGKAPRKQLA (2737 Da) methylated on K4 or K9 exhibited [31] peaks with <w> = 1.0 V/cm (for z = 5 and 6). Present FAIMS spectra for these regioisomers at 75% and 80% H2 (Figure 4) are similar, but the same features narrow to <w> = 0.8 V/cm while EC values continue increasing and R goes to ~400. These separations were confirmed by analyses of 1:1 isomer mixtures (Figure 5). Hence the resolving power for such larger peptides remains set by instrumental parameters, and the new system would improve separation of these species as well. Indeed, defined as the distance between two peaks divided by <w>, the resolution of major features for 6+ ions of K4Me (b1) and K9Me (c1) increases by ~40%: from 2.5 previously [31] at 70% H2 to 3.5 here at 80% H2.
Fig. 4.
Normalized FAIMS spectra for two monomethylated localization variants of H3 tail (color-coded) with z = 5 and 6, measured using H2/N2 with 75% and 80% H2 (v/v), as labeled. Peaks for different conformers are marked by letters, following ref. [16]. The widths (w, V/cm) are shown for the well-shaped peaks.
Fig. 5.
FAIMS spectra for the K4Me/K9Me mixture, measured for 6+ ions using H2/N2 with 75% or 80% H2, as labeled. Vertically scaled spectra for the components are overlaid.
Conclusions
A new high-definition generator based on DC-to-DC converters provides a stable and reproducible FAIMS compensation voltage across a broad range scanned with steps of <1 mV. This narrowed the peaks by ~40 mV, while greatly reducing the temporal drift and jitter of their positions. The consequent increase of resolving power (R) and peak resolution varied depending on the peak width, but was ~20 – 40% in typical high-resolution analyses using near-maximum He or H2 fractions where R ~400 – 500 can be attained for multiply-charged peptides. This is the highest resolving power demonstrated not only for FAIMS, but also for conventional IMS [9, 32, 33] and compares only to the performance of newly developed cyclotron IMS [9, 33]. The remaining large variation of peak widths and positions due to fluctuations of other instrumental parameters (primarily dispersion voltage and gas pressure) suggests the feasibility of even higher resolution upon their stabilization.
Supplementary Material
Acknowledgements
We thank Dr. Keqi Tang for discussions and Dr. Yupeng Zheng and Prof. Neil Kelleher for sharing the histone samples. This research was supported by NIGMS (8 P41 GM103493-10) and PNNL use-at-facility funds. Work was performed in the Environmental Molecular Sciences Laboratory, a US DoE OBER national scientific user facility at PNNL.
References
- 1.Guevremont R. High-field asymmetric waveform ion mobility spectrometry: a new tool for mass spectrometry. J. Chromatogr. A. 2004;1058:3–19. [PubMed] [Google Scholar]
- 2.Shvartsburg AA. Differential Ion Mobility Spectrometry: Nonlinear Ion Transport and Fundamentals of FAIMS. Boca Raton: CRC Press; 2008. [Google Scholar]
- 3.Shvartsburg AA, Smith RD. Optimum waveforms for differential ion mobility spectrometry (FAIMS) J. Am. Soc. Mass Spectrom. 2008;19:1286–1291. doi: 10.1016/j.jasms.2008.05.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Schneider BB, Covey TR, Coy SL, Krylov EV, Nazarov EG. Planar differential mobility spectrometer as a pre-filter for atmospheric pressure ionization mass spectrometry. Int. J. Mass Spectrom. 2010;298:45–54. doi: 10.1016/j.ijms.2010.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Buryakov IA, Krylov EV, Makas AL, Nazarov EG, Pervukhin VV, Rasulev UK. Separation of ions according to mobility in a strong electric field. Sov. Tech. Phys. Lett. 1991;17:446–447. [Google Scholar]
- 6.Purves RW, Guevremont R. Electrospray ionization high-field asymmetric waveform ion mobility spectrometry - mass spectrometry. Anal. Chem. 1999;71:2346–2357. doi: 10.1021/ac981380y. [DOI] [PubMed] [Google Scholar]
- 7.Guevremont R, Barnett DA, Purves RW, Vandermey J. Ultrahigh-throughput proteomics using fast RPLC separations with ESI-MS/MS. Anal. Chem. 2000;72:4577–4584. [Google Scholar]
- 8.Shvartsburg AA, Smith RD. Accelerated high-resolution differential ion mobility separations using hydrogen. Anal. Chem. 2011;83:9159–9166. doi: 10.1021/ac202386w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Shen Y, Zhang R, Moore RJ, Kim J, Metz TO, Hixson KK, Zhao R, Livesay EA, Udseth HR, Smith RD. Automated 20 Kpsi RPLC-MS and MS/MS with chromatographic peak capacities of 1,000 – 1,500 for and capabilities for proteomics and metabolomics. Anal. Chem. 2005;77:3090–3100. doi: 10.1021/ac0483062. [DOI] [PubMed] [Google Scholar]
- 10.Merenbloom SI, Glaskin RS, Henson ZB, Clemmer DE. High-resolution ion cyclotron mobility spectrometry. Anal. Chem. 2009;81:1482–1487. doi: 10.1021/ac801880a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Barnett DA, Ells B, Guevremont R, Purves R. Application of ESI-FAIMS-MS to the analysis of tryptic peptides. J. Am. Soc. Mass Spectrom. 2002;13:1282–1291. doi: 10.1016/S1044-0305(02)00527-5. [DOI] [PubMed] [Google Scholar]
- 12.Shvartsburg AA, Tang K, Smith RD. Differential ion mobility separations of peptides with resolving power exceeding 50. Anal. Chem. 2010;82:32–35. doi: 10.1021/ac902133n. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Shvartsburg AA, Li F, Tang K, Smith RD. High-resolution field asymmetric waveform ion mobility spectrometry using new planar geometry analyzers. Anal. Chem. 2006;78:3706–3714. doi: 10.1021/ac052020v. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Shvartsburg AA, Danielson WF, Smith RD. High-resolution differential ion mobility separations using helium-rich gases. Anal. Chem. 2010;82:2456–2462. doi: 10.1021/ac902852a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Shvartsburg AA, Prior DC, Tang K, Smith RD. High-resolution differential ion mobility separations using planar analyzers at elevated dispersion fields. Anal. Chem. 2010;82:7649–7655. doi: 10.1021/ac101413k. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Shvartsburg AA, Smith RD. Ultrahigh-resolution differential ion mobility spectrometry using extended separation times. Anal. Chem. 2011;83:23–29. doi: 10.1021/ac102689p. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Schneider BB, Covey TR, Coy SL, Krylov EV, Nazarov EG. Chemical effects in the separation process of a differential mobility/mass spectrometer system. Anal. Chem. 2010;82:1867–1880. doi: 10.1021/ac902571u. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Blagojevic V, Chramow A, Schneider BB, Covey TR, Bohme DK. Differential mobility spectrometry of isomeric protonated dipeptides: modifier and field effects on ion mobility and stability. Anal. Chem. 2011;83:3470–3476. doi: 10.1021/ac200100s. [DOI] [PubMed] [Google Scholar]
- 19.Rorrer LC, Yost RA. Solvent vapor effects on planar high-field asymmetric waveform ion mobility spectrometry. Int. J. Mass Spectrom. 2011;300:173–181. [Google Scholar]
- 20.Shvartsburg AA, Tang K, Smith RD. Optimization of the design and operation of FAIMS analyzers. J. Am. Soc. Mass Spectrom. 2005;16:2–12. doi: 10.1016/j.jasms.2004.09.009. [DOI] [PubMed] [Google Scholar]
- 21.Wiley WC, McLaren IH. Time-of-flight mass spectrometer with improved resolution. Rev. Sci. Instrum. 1955;26:1150–1157. [Google Scholar]
- 22.Guilhaus M. Principles and instrumentation in time-of-flight mass spectrometry. J. Mass Spectrom. 1995;30:1519–1532. [Google Scholar]
- 23.Dodonov AF, Kozlovski VI, Soulimenkov IV, Raznikov VV, Loboda AV, Zhou Z, Horwath T, Wollnik H. High-resolution electrospray ionization orthogonal injection time-of-flight mass spectrometer. Eur. J. Mass Spectrom. 2000;6:481–490. [Google Scholar]
- 24.Shvartsburg AA, Tang K, Smith RD. Understanding and designing field asymmetric waveform ion mobility spectrometry separations in gas mixtures. Anal. Chem. 2004;76:7366–7374. doi: 10.1021/ac049299k. [DOI] [PubMed] [Google Scholar]
- 25.Barnett DA, Purves RW, Ells B, Guevremont R. Separation of o-, m- and p - phthalic acids by high-field asymmetric waveform ion mobility spectrometry (FAIMS) using mixed carrier gases. J. Mass Spectrom. 2000;35:976–980. doi: 10.1002/1096-9888(200008)35:8<976::AID-JMS25>3.0.CO;2-Q. [DOI] [PubMed] [Google Scholar]
- 26.Schneider BB, Covey TR, Coy SL, Krylov EV, Nazarov EG. Control of chemical effects in the separation process of a differential mobility mass spectrometer system. Eur. J. Mass Spectrom. 2010;16:57–71. doi: 10.1255/ejms.1025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Shvartsburg AA, Noskov SY, Purves R, Smith RD. Pendular proteins in gases and new avenues for characterization of macromolecules by ion mobility spectrometry. Proc. Nat. Acad. Sci. USA. 2009;106:6495–6500. doi: 10.1073/pnas.0812318106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Shvartsburg AA, Smith RD. Protein analyses using differential ion mobility microchips with mass spectrometry. Anal. Chem. doi: 10.1021/ac3018636. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Shelimov KB, Clemmer DE, Hudgins RR, Jarrold MF. Protein structure in vacuo: the gas phase conformations of BPTI and Cytochrome c. J. Am. Chem. Soc. 1997;119:2240–2248. [Google Scholar]
- 30.Shvartsburg AA, Zheng Y, Smith RD, Kelleher NL. Ion mobility separations of variant histone tails extending to the middle-down range. Anal. Chem. 2012;84:4271–4276. doi: 10.1021/ac300612y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Shvartsburg AA, Zheng Y, Smith RD, Kelleher NL. Separation of variant methylated histone tails by differential ion mobility. Anal. Chem. 2012;84:6317–6320. doi: 10.1021/ac301541r. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Srebalus CA, Li J, Marshall WS, Clemmer DE. Gas-phase separations of electrosprayed peptide libraries. Anal. Chem. 1999;71:3918–3927. doi: 10.1021/ac9903757. [DOI] [PubMed] [Google Scholar]
- 33.Glaskin RS, Valentine SJ, Clemmer DE. A scanning frequency mode for ion cyclotron mobility spectrometry. Anal. Chem. 2010;82:8266–8271. doi: 10.1021/ac1017474. [DOI] [PubMed] [Google Scholar]
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