Abstract
The trapped-ion cell is a key component critical for optimal performance in Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry (MS). In order to extend the performance of FT-ICR MS, we have developed a new cell design that is capable of generating a DC trapping potential which closely approaches that of an ideal Penning trap, i.e. a 3D axial quadrupolar potential distribution. The new cell design was built upon an open cylindrical geometry, supplemented with two pairs of cylindrical compensation segments. Electric potential calculations for trial cell geometries were aimed at minimizing spatial variations of the radial electric field divided by radius. The resulting cell proportions and compensation voltages delivered practically constant effective ion cyclotron frequency that was independent of ion radial and axial positions. Our customized 12 Tesla FT-ICR instrument was upgraded with the new cell and the performance was characterized for a range of ion excitation power and ion populations. Operating the compensated cell at increased post-excitation radii, ∼0.7 of the cell inner radius, resulted in improved mass measurement accuracy together with increased signal intensity. Under these same operating conditions the non-compensated open cell configuration exhibited peak splitting and reduced signal life time. Mass accuracy tests using 11 calibrants covering a wide m/z range reproducibly produced under 0.05 ppm RMS precision of the internal calibration for reduced ion populations and the optimal excitation radius. Conditions of increased ion population resulted in a 2-fold improvement in mass accuracy compared to the non-compensated cell, due to the larger achievable excitation radii and correspondingly lower space charge related perturbations of the calibration law.
Introduction
Fourier transform ion cyclotron resonance (FT-ICR) mass spectrometry (MS) is an advanced mass analyzer technology, which has been at the leading edge in terms of mass resolving power and mass measurement accuracy since the early years of its inception [1]. A number of reviews describe the general features of FT-ICR MS and the milestones of its historical evolution, as well as the current rapid expansion of its use in biomolecule analysis and, in particular, proteomics [2-8]. Although the main components of FT-ICR MS are well established, the growing complexity of modern applications creates a driving force for further optimizations. Fine-tuning acquisition time, excitation power (i.e., excitation radius), trapping voltage, and the type of excitation waveform can significantly improve both mass measurement accuracy and quantitation accuracy of FT-ICR measurements [9, 10].
A key component of the FT-ICR mass analyzer is the trapped-ion cell (ICR cell, ICR trap, Penning trap) where measurement of the mass-to-charge ratio (m/z) of an ion takes place. Within the trapped-ion cell, each measurement cycle requires ion injection, excitation, and acquisition of the induced ion signal (i.e., ion transient detection). Historically, closed orthorhombic cells, predominant in early FT-ICR mass spectrometers, were replaced by cylindrical cells with either capacitive coupling open configuration or so-called infinity cell layout, i.e., a closed cell with trapping plates that have excitation circuitry that emulates axially-infinite distribution of the excitation field [11-14].
It is well recognized that deviations from the ideal quadrupolar DC potential, which is characteristic for such cell geometries, impose deleterious effects on FT-ICR measurements and various approaches to the cell anharmonicity problem have been explored [14-27]. A thorough study [14] considered various FT-ICR cell designs optimizing the three cell functions, ion trapping, excitation and detection, and suggested as a possible solution the matrix-shimmed cell. Such a cell was build in a form of a cubic cell with each of the six sides split into a matrix of 5×5 electrodes, 150 electrodes total, and tested experimentally [22]. This previous study reported elimination of harmonic peaks and suggested cell performance could be significantly improved with an idealized 3D trapping potential. The cyclotron frequency variation with excitation radius was suppressed and no peak splitting was evident at increased excitation radii where the cubic cell produced a significant peak splitting [22].
An alternative solution was proposed in a form of open cylindrical cell having 32 poles for ion excitation and detection and 15 cylindrical ring electrodes to generate trapping potential wells [24]. It was demonstrated that ions can be successfully trapped and detected with the 32-pole cell and performance was characterized for different trapping well shapes. Although the both cell designs have been successfully tested experimentally, neither is currently in use in the field of FT-ICR bio-molecular applications, and additional studies are needed to determine if these radically changed cell layouts can be suited for practical implementation.
We have revisited the problem of the DC potential harmonicity of the ICR cell in the context of MS proteomics studies, where common attributes of FT-ICR measurements, such as high resolving power, mass measurement accuracy and precision, dynamic range and sensitivity, all should be realized reliably and reproducibly under conditions of high-throughput. We recently reported a study of mass accuracy trends, showing the necessity to simultaneously account for several factors that influence mass measurements due to the highly variable conditions in high-throughput LC FT-ICR MS, which led to the implementation of multidimensional recalibration for such datasets [28, 29]. Results of this earlier work indicated that along with total ion current (TIC) variations, the variability of the ion abundance across the mass spectrum was detrimental to mass measurement accuracy.
Current high-throughput methods often employ external accumulation of ions followed by gas-free injection and trapping in the ICR cell. Such approaches eliminate the cell pump-down delays, which improves duty cycle. However, as a side effect, accurate mass measurements in FT-ICR become more sensitive to the “local” ion abundance variability. The variations of the axial kinetic energy of ions ejected from the external RF multipole [30-32] results in a variable and mass-dependent axial distribution of ions during FT-ICR excitation and detection. This variation in axial kinetic energy and axial density distribution of ions results in varied cyclotron frequency shifts due to the non-uniform radial electric fields present in all cell geometries [33]. The mass measurement accuracy is also influenced by other conditions such as excitation power (i.e., post-excitation radius) and trapping voltage [9, 10, 32, 34-36]. A cylindrical cell with grids as excitation electrodes that extend past the region in which the ions are trapped was recently reported by Wieghaus et al. [36]. Their study demonstrated increased ion excitation radii were achievable with the new cell design, resulting in improved ion signal intensity and mass measurement accuracy. The grid cell was chosen as the new standard cell for Thermo Finnigan LTQ-FT Ultra hybrid FTICR instrument [36].
Generally, finding a stable and sample-independent optimum for automated high-throughput FT-ICR MS operation represents a significant challenge. Minimizing the spatial variability of the radial electric field should significantly improve the stability of optimal operating conditions, which will improve mass measurement accuracy achievable in LC FT-ICR MS.
The open cylindrical cell design is currently widely used in FT-ICR MS and has a long history of successful applications. Here, we report correcting the open cell trapping potential to make it closer to the three-dimensional (3D) axial quadrupolar electrostatic potential distribution. Using numerical potential calculations, we searched for a configuration that does not excessively complicate the cell design while providing significant, at least an order of magnitude, improvement of the cell harmonicity. We adopted an open cylindrical configuration with added compensation electrodes, based on the pioneering work by Gabrielse et al. [17]. Their study demonstrated that by adding the compensation electrodes to the open cylindrical cell, anharmonicities of the trapping potential could be tuned out, thus enabling the high precision measurements [17]. A similar approach was later implemented in the screened open cell design [20], which used a pair of cylindrical compensation segments to minimize magnetron frequency at the cell center midplane (i.e., for ions that have negligible axial kinetic energy). The cell operation regime of interest for us involved ions having distributed axial positions that correspond to a range of kinetic energies typical for gas-free ion injection (∼1 eV). Proportions of the cell segments were determined based on minimization of the spatial variations of the radial electric field divided by radius, the quantity that determines the ion magnetron frequency [3]. An acceptable configuration was found in a form of the cell with two pairs of compensation segments having certain geometrical proportions and specific compensation voltages. We report a description of the new cell configuration and properties of its trapping potential and then provide experimental characterization results.
Methods
Cell design
An extensive and detailed treatment of the electric field configurations and corresponding ICR cell designs has been previously reported [14]. Below we provide a concise consideration focused on the cell harmonicity optimization employed in the present work.
The ideal 3D quadrupolar DC potential can be expressed as follows [14-17]:
| (1) |
Here, the cylindrical coordinate system (r, z) is assumed with radius r = (x2 + y2)0.5, axial coordinate z, measure of the trap size a, and constant C. Such an ideal quadrupolar potential can be realized in a Penning trap. The electrodes of such a trap are shaped according to equipotential surfaces of the ideal potential distribution V(r, z), Figure 1a. The equipotential surfaces are defined by the following equations:
| (2a) |
| (2b) |
The cell geometry, i.e., radius (r0) and distance from cell center to the end of the cell (z0), determine how V0, C, and a values in eq. 1 are related to Vtrap and Vring of eq. 2.
Figure 1.

a). An ideal Penning trap configuration corresponding to equipotential contours of the ideal 3D quadrupolar DC potential, eq. 1. The compensated cell configuration with b) the central cylindrical segment and two trapping segments supplemented by four compensation electrodes and c) each segment split into 4 sectors, 2 for excitation and 2 for detection.
The resulting ion motion in the ideal potential (eq. 1), assuming a homogeneous magnetic field (B0) directed along the z-axis and negligible space charge effects, is a rotation with reduced cyclotron frequency ω+ and with the guiding center drifting at the magnetron frequency ω-. The frequency shift (dω) due to the trapping radial electric field (Er) is equal to the magnetron frequency ω-. It is convenient to apply first order approximation to obtain simple relationships for ω-, dω and ω+ [37, 38]:
| (3) |
| (4) |
Practically, the frequency shift dω is much smaller than the observed cyclotron frequency ω+ and the first order relationships eq. 3 and 4 are quite accurate. The unperturbed cyclotron frequency can be expressed via the m/z value commonly used in mass spectrometry:
| (5) |
Here SI units are assumed for B0, elementary charge e equals 1.60217733×10-19 C and unit mass mu is 1.66053873×10-27kg.
The ratio of the radial field Er to radius r can be obtained by taking a derivative of potential (eq. 1) over radius:
| (6) |
and using eq. 3 to obtain:
| (7) |
It follows that the frequency shift due to the radial electric field Er is constant, independent of the radial or axial position, which is a well known property of the ideal quadrupolar potential. This potential distribution is ideal for FT-ICR mass measurements because the effective ion cyclotron frequencies are stable and independent of radial and axial coordinates. The two classical FT-ICR calibration functions are very accurate in the case of the ideal harmonic potential [38]:
| (8a) |
| (8b) |
Here f = ω+/2π is the experimentally observed effective ion cyclotron frequency. Ledford’s calibration function, eq. 8a, has calibration coefficients AL, BL and Franc’s calibration function, eq. 8b, has calibration coefficients AF, BF [37-39].
While the Penning trap geometry was explored using ion cyclotron resonance in physics experiments [40, 41], the ideal geometry was not utilized in FT-ICR MS, due to the inefficiency of the Penning trap in terms of using the magnet bore volume compared to other geometries, including cylindrical cells (i.e., small ion capacity), unfavorable ion excitation configuration, etc. [14]. While the cylindrical cell efficiently utilizes the magnet bore volume, there is significant variability in the radial electric field per radius (Er/r) in both radial and axial dimensions. These deviations from the ideal cell potential can be minimized with compensation (“shim” or “guard”) electrodes and optimization of cell proportions [14-27]. A possible approach for finding dimensions and potentials of the compensation electrodes is to create a system of equations that define ideal conditions in a number of spatial locations, assumed to be important for the cell operation. Alternative approaches can be based on power series expansions of the potential or ion motion characteristics. Some formal approaches we explored had a tendency to produce impractical dimensions or potentials of the compensation electrodes and unstable electric field behavior, e.g., at locations other than those used for optimization.
Under the present cell optimization approach, we relied on the property of the Laplace equation to smooth, in a diffusion-like fashion, small perturbations of the boundary conditions. This smoothing property results in the potential distribution of a small region around the center of a non-compensated cell to closely approach the ideal behavior. Here, we aimed to extend such a paraxial region by using a system of compensation electrodes added to the open cylindrical cell geometry.
We have considered a number of trial configurations, using potential calculations to evaluate the spatial nonuniformity of the radial electric field per radius, Er/r, which is responsible for the cyclotron frequency shift (eq. 3). A selected configuration (Figure 1b and 1c) was found to provide an acceptable combination of improved potential harmonicity and a reasonably simple physical geometry. This configuration had a central segment and a trapping segment at either end, as in typical open cylindrical cells. A pair of short compensation segments was added between the central and individual trapping segments. All segments had the same internal diameter (D) of 60 mm and the lengths (z-axis) chosen for the 7 cylindrical segments were 1, 0.2, 0.2, 0.5, 0.2, 0.2, 1, in units of the cell internal diameter, D. Potential calculations for such cell proportions produced the following DC offsets that delivered close to harmonic potential distribution: 1, 0.3167, 0.1333, 0, 0.1333, 0.3167, 1 (in relative units). Each cylindrical segment was split into four sectors, two for detection and two for excitation, and capacitive coupling was applied to the excitation sectors of all segments. Ion transient detection was acquired at the two detection sectors of the central segment. (Detection on compensation electrodes could also be realized, but will not be reported here.) Setting the DC offsets of the compensation electrodes closest to the central segment to 0 V and those closest to the trapping segments to the trapping potential of the cell (Figure 2a) resulted in a potential distribution typical of the open cylindrical cell. The cell aspect ratio was 0.9 for this configuration, similar to the aspect ratio of the Bruker Infinity cell. From symmetry considerations, the potential distribution inside a closed cylindrical cell approaches the potential near the center of an open cell of the same aspect ratio when the trapping voltage of the closed cell is half that of the open cell. This consideration implies that the potential distribution inside the open cell should approach the potential distribution inside the Bruker Infinity cell with 2× lower trapping voltage.
Figure 2.
The potentials applied to the cell segments correspond to two configurations used for the experimental characterization: a) the typical open cell configuration with the DC offsets of the compensation electrodes set to 0 for the inner pair and to the trapping potential for the outer pair, and b) the compensated cell configuration with the compensation segment potentials set to optimum values to minimize deviations from the potential distribution of the ideal Penning trap.
Typically, the compensation segment potentials would be set to the optimized values that minimize deviations from the ideal potential distribution (Figure 2b). Here, we switched between the two cell voltage configurations to demonstrate the effectiveness of the compensation electrodes; “open cell” refers to the voltage configuration closest to that of a typical cylindrical cell (Figure 2a) while “compensated cell” refers to the voltage configuration closest to the ideal potential distribution (Figure 2b).
Figure 3 shows potential (V) calculations for the two cell voltage configurations that are plotted with units of length equal to the cell radius (r0). The different lines represent potential calculations at different radial distances from the cell axis. The potential profiles for the open cell in Figure 3a appear similar to profiles for the compensated cell in Figure 3c. The effect of compensation was more pronounced in the profiles of the radial electric field divided by radius (Er/r), where the Er/r deviations of the open cell (Figure 3b) were significantly larger than those of the compensated cell (Figure 3d). The improved spatial uniformity of Er/r for the compensated cell was the target of cell configuration optimization.
Figure 3.
Potential calculation plots for the two cell voltage configurations with units of length equal to the cell radius r0: a) potential distribution for the open cell configuration; b) radial electric field divided by radius, calculated for the open cell; c) potential distribution for the compensated cell configuration; and d) radial electric field divided by radius, calculated for the compensated cell.
The following simple calculations demonstrate how variability of Er/r translates into variations of the observed cyclotron frequency. Assume a cell trapping voltage of 1 V for two values of the post-excitation radius (Rexc), 0.5 and 0.75 of the cell radius, and an ion axial kinetic energy (Kz) distributed in the range 0 to 0.1 eV. In the case of the open cell, Kz of 0.1 eV corresponds to an amplitude of axial oscillations (dz) ∼0.5, as can be seen from the depth of potential wells for an Rexc of 0.5 and 0.75 in Figure 3a. The corresponding Er/r profiles in Figure 3b show variations from 0.4 (z at 0) to 0.5 (z at 0.5) for Rexc of 0.5, and from 0.34 (z at 0) to 0.64 (z at 0.5) for Rexc of 0.75. Using eq.3 and the cell radius (r0) of 3 cm, the magnetron frequency shift (df) in the axial range from a z of 0 to 0.5 r0 (or 0 to 1.5 cm) is 1.5 Hz at Rexc of 0.5 and 4.4 Hz at Rexc of 0.75. These variations can be compared to the cyclotron frequency using eq. 5; assuming an m/z of 1000 and magnetic field (B0) of 12 Tesla, the unperturbed cyclotron frequency (fc) is 184 kHz (note fc = ωc/2π). The frequency variations for the open cell would be 8 ppm for Rexc of 0.5 and 24 ppm for Rexc of 0.75. For the compensated cell potential (Figure 3c), a Kz of 0.1 eV corresponds to z-oscillations with dz of 0.6 r0 (or 1.8 cm). The corresponding radial field variations (ΔEr/r) are 0.001 for Rexc of 0.5 and 0.055 for Rexc of 0.75 (Figure 3d) and the corresponding frequency shifts are 0.08 and 4.4 ppm, a significant improvement over the open cell configuration.
The effect of Er/r inhomogeneity is reduced somewhat by motional averaging [33], and in practice the frequency deviations are in the ∼1 to 10 ppm range. While motional averaging reduces the anharmonicity effect, ion frequencies still depend upon the spatial or kinetic energy distribution of ions. The previous estimations demonstrate that cell anharmonicity causes cyclotron frequency shifts and that the compensated cell provides up to an order of magnitude improvement in Er/r variations. The extent of the improvement depends on the post-excitation radius and axial range of ion motion. Importantly, the cell potential anharmonicity effects become more pronounced with increased or variable ion axial kinetic energy prior to excitation and during detection, which is often the case under the high-throughput LC FT-ICR operation. To demonstrate the practical significance of improved cell potential harmonicity, we present extensive data acquired for both the compensated and the open (i.e., non-compensated) cell configurations.
Instrumentation
The compensated cell was constructed from 28 gold plated copper electrode sectors mounted to a titanium support tube with outer diameter of 75 mm and a length of 278 mm. The cell was constructed to fit inside the 100 mm bore of the superconducting magnet and all electrode segments had an internal diameter of 60 mm. The widths of the trapping, compensation, excitation, and detection segments were 59, 10, 28, and 28 mm. A PEEK isolation plate was placed between each copper sector and the titanium support tube. A 2 mm gap was placed between electrodes to insure electrical isolation and the total length of the cell was 198 mm. The circuit delivering DC offsets and capacitive coupling to the cell segments was similar to one described previously [42, 43] with 150 kΩ resistors and 330 pF capacitors, with independently controlled DC offsets of the additional compensation electrodes. All excitation sectors of the electrode segments were capacitively coupled to the excitation RF. This configuration insured the same excitation phase on the electrode sectors on the same side of the cell. The DC offsets of the trapping and compensation electrode segments were wired so that the potential applied to the electrodes could be independently controlled outside of the vacuum chamber, which allowed for rapid conversion between the open and compensated cell electrode voltage configurations. The cell wiring scheme was extensively tested prior to installation of the cell in the vacuum chamber of the modified Bruker 12 T FT-ICR mass spectrometer [44] to insure the proper DC potentials and RF excitation waveforms were applied to each electrode. LC-MS measurements were conducted using 100 min separation with 150 μm ID LC column, using the mixture of 12 standard proteins digested with trypsin and 23 peptides. This solution has been previously used for quality control (QC) analyses [29] and has a total peptide concentration of 0.004 mg/mL. Each LC-MS data set contained ∼3000 mass spectra, 2 s per spec. The corresponding accurate mass and time (AMT) tag database consisted of 4208 mass tags.
Data Acqusition
Mass spectra with up to 11 calibrant ions were acquired on a modified Bruker 12 Tesla FT-ICR mass spectrometer [44], using electrospray ionization of an aqueous solution of a peptide mixture. The solution consisted of 0.1% acetic acid, 0.025% trifluro-acetic acid, and 0.5 μg/ mL of each of the following peptides acquired from Sigma-Aldrich (St. Louis, MO) and used as received: renin inhibitor, bradykinin, neurotensin, angiotensin, substance P, fibrinopeptide A, and G endorphine.
Mass spectra of this solution were acquired over a range of excitation powers, external accumulation times, and cell trapping voltages in automated fashion using Xmass (Bruker Daltonics, Billerica, MA) scripts. Typically, excitation attenuation ranged from 0 to 20 dB, external accumulation times were 0.05, 0.1 and 0.2 s and cell trapping voltages were 1 to 4 V. External accumulation was performed in the standard Bruker hexapole with a short pulse of gas to increase trapping efficiency. Collections of spectra were processed using in-house developed software to characterize instrument performance. Each transient was zero-filled twice, Fourier-transformed, and converted to the m/z domain. The mass measurement accuracy of the internal calibration was calculated as RMS of relative mass errors (column dmr in Table 1) from internal calibration of peptide ions that had ion abundances within a relative dynamic range of 10 (typically 8 to 9 calibrants). Alternative mass accuracy tests excluded a number of calibrants from internal calibration to be used as virtual unknown masses or “external calibration standards”. Such tests produced on average similar mass error values, and the mass accuracy profiles vs. the excitation power showed the same trends as for the first approach, which is more robust when a large range of ion populations and excitation powers are surveyed and varying number of calibrants detected.
Table 1.
Internal calibration results using the 7-peptide calibration mixture
| Calibrant | Theor. m/z | Measured m/z | dm, mDa | dmr, ppm | dm(2), mDa | Ai | SNR | R,×1000 |
|---|---|---|---|---|---|---|---|---|
| Renin Inhibitor 2+ | 513.28199475 | 513.28199425 | -0.00050 | -0.00097 | -0.00343 | 0.639 | 165.3 | 344.4 |
| Bradykinin 2+ | 530.78797558 | 530.78798253 | 0.00695 | 0.01309 | 0.01557 | 1.000 | 258.5 | 346.6 |
| Neurotensin 3+ | 558.64495321 | 558.64494542 | -0.00779 | -0.01395 | 0.09173 | 0.403 | 139.2 | 300.8 |
| Angiotensin 2+ | 648.84602178 | 648.84602304 | 0.00126 | 0.00193 | 0.00262 | 0.648 | 318.6 | 296.0 |
| Substance P 2+ | 674.37134946 | 674.37134945 | -0.00001 | -0.00002 | 0.07386 | 0.941 | 462.9 | 284.1 |
| Substance P-O 2+ | 682.36880677 | 682.36880069 | -0.00608 | -0.00891 | -0.07713 | 0.295 | 145.3 | 277.0 |
| Fibrinopeptide A 2+ | 768.84988365 | 768.84988116 | -0.00249 | -0.00324 | 0.18179 | 0.901 | 479.3 | 253.1 |
| Neurotensin 2+ | 837.46379159 | 837.46379617 | 0.00458 | 0.00547 | -0.36193 | 0.278 | 147.9 | 231.5 |
| G-endorphine 2+ | 930.46807927 | 930.46805741 | -0.02186 | -0.02349 | -0.03498 | 0.067 | 35.6 | 206.6 |
| G-endorphine-O 2+ | 938.46553658 | 938.46557525 | 0.03867 | 0.04121 | -0.03616 | 0.214 | 114.0 | 206.1 |
| Renin Inhibitor 1+ | 1025.55671305 | 1025.55669977 | -0.01328 | -0.01294 | 0.16887 | 0.027 | 17.4 | 182.9 |
Calibrant ions (including oxidized forms (-O) and multiple charge states) obtained from the 7-peptide mixture used for cell characterization. Sample internal calibration results obtained for a single transient, 512k data points, corresponding to 0.68 s ion transient duration, 3 dB excite power attenuation and low external accumulation time, Tacc of 0.05 s. Internal calibration mass measurement errors, column dm, do not exceed 0.00004 Da, or in relative terms, dmr < 0.05 ppm. Conditions of increased ion population, Tacc of 0.1 s, produce mass measurement errors up to 0.36 mDa, column dm (2). Relative ion abundances Ai and signal-to-noise ratios, SNR, correspond to Tacc of 0.05 s. Mass resolving power, R, has been obtained using entire 1M data points of the same ion transient, acquisition time 1.36 s.
The characteristic exponential life-time of the ion transients, te, was evaluated by fitting experimental transients to the exponential decay profile. The fit was approximate and the result depended upon the method of transient segmentation. The initial 0.5 M interval of the transient signal (1 M data points total) was split into eight 64 k segments. The data points in each transient segment were first Fourier-transformed to obtain the signal intensity from each transient segment and then the intensities were fit to the exponential decay profile.
Results and Discussion
Characterization of the compensated cell used an experimental approach similar to that used to investigate the effect of global and local space charge on mass measurement accuracy across a range of excitation powers and ion populations [32, 45]. Mass spectra were acquired for peptide ions generated by electrospray ionization from the peptide mixture described above. A custom Tk/Tcl script automatically acquired mass spectra with excitation attenuation ranging from 0 to 20 dB in increments of 0.5 dB. This sequence was repeated consecutively for external accumulation times of 0.05, 0.1 and 0.2 s, effectively covering the useful range of in cell ion populations. This procedure allowed for the two dimensional characterization of the instrument in terms of excitation power and ion population in a relatively short time (30 min). Custom data processing software then produced profiles of total ion current, mass measurement accuracy, transient lifetime, S/N, resolution, and other characteristics.
The profiles of the TIC, transient life-time (te), and the internal calibration mass accuracy are shown in Figure 4 for a range of the ion excitation power attenuation in decibels (dB). Both the open and compensated cells were operated using 4 V trapping voltage during excitation and detection, and the Bruker excitation parameter of 160 μs (lower dB values correspond to lower attenuation and result in higher excitation power). Mass spectra were acquired for external accumulation times (Tacc) of 0.05, 0.1 and 0.2 s to observe the effects of changing the ion population. The TIC profiles show a maximum at 7 dB for the open cell (Figure 4a) and 3 dB for the compensated cell (Figure 4d). The compensated cell demonstrated significant improvement in TIC over the open cell for excitation power range from 7 to 2 dB. Both cell configurations used the same capacitively coupled excitation circuitry and were equivalent in terms of the ion excitation radius. The differences among the TIC profiles resulted from improved performance of the compensated cell at larger ion excitation radii.
Figure 4.
Experimental profiles vs. excitation power attenuation, dB, obtained for the two cell potential configurations. Experimental parameters were: direct ESI infusion of the peptide calibration mixture with three external ion accumulation times (Tacc) of 0.05, 0.1 and 0.2 s; cell trapping voltages during excitation and detection of 4 V; and a Bruker excitation time of 160 μs. Open cell results: a) total ion current (TIC), b) characteristic lifetime of the ion transient, te, and c) mass accuracy of the internal calibration. Compensated cell results: d) total ion current (TIC), e) characteristic lifetime of the ion transient te, and f) mass accuracy of the internal calibration. Comparison of excitation profiles for the two cell configurations: g) total ion current (TIC) with Tacc of 0.1s, and h) mass measurement accuracy of the internal calibration from Figures 4c and 4f, for Tacc of 0.05 s.
The improved TIC profile at larger excitation radii was due to improved coherence of the ion cyclotron motion as demonstrated by the longer ion transient lifetimes (te) in the compensated cell (Figure 4e) relative to the open cell (Figure 4b). At an excitation power of 3 dB, the open cell ion transient life-time (te) was 0.3 s, while te was ∼1 s for the compensated cell.
The mass measurement accuracy of the compensated cell (Figure 4f) was improved relative to the open cell (Figure 4c), with the most significant improvement achieved for low ion populations, Tacc = 0.05 s. Minimum mass errors of 0.014 ppm were obtained for the compensated cell at an excitation power of 3 dB versus 0.18 ppm mass errors obtained for the open cell at 8.5 dB. The mass error obtained for both cell configurations increased with longer external accumulation times (Tacc) that corresponded to increased ion populations; however the compensated cell showed reduced space-charge related mass errors for excitation power attenuation below the open cell optimum of 7 dB.
A close comparison of selected TIC and mass accuracy profiles for the open and compensated cells reveals systematic differences in the range of increased ion excitation powers, dB >6 (Figures 4g and 4h). Ion transients acquired for the two cell configurations for such conditions provide an insight on how the ion cyclotron motion is influenced by the different electric potential distributions.
At 3 dB attenuation, the ion transients for the open cell (Figure 5a) had a pattern (i.e. beats) typical for a mixture of components with slightly different frequencies, and the corresponding mass spectrum revealed peak splitting, as demonstrated by a sample mass peak in Figure 5b. The transient obtained with the compensated cell (Figure 5c) had a uniform decay profile, and the corresponding transformed peak (Figure 5d) had no apparent splitting. This result reproduces an observation reported for the first experimentally tested harmonized ICR cell, where the peak splitting observed with the cubic cell at the excitation radius ∼0.75 of the maximum radius was not visible with the matrix shimmed cell with mass resolution ∼8000 at m/z 186, tentatively attributed to Coulomb repulsions resulting from too many ions in the trap [22]. The mass resolving power obtained in our measurements approached theoretical limit for low pressure line shape, ∼400,000 at m/z 530 (see below).
Figure 5.
Ion transients and peak shapes obtained using an excitation power of 3 dB, which corresponds to TIC and mass accuracy optimum for the compensated cell: a) sample ion transient for the open cell configuration, b) sample peak from Fourier-transformed data for the open cell configuration, c) sample ion transient for the compensated cell configuration, d) sample peak from Fourier-transformed data for the compensated cell configuration.
The compensation design used in this work does not provide linearization of the dipolar excitation and detection and thus additional harmonic peaks were not suppressed, as it was demonstrated with the matrix shimmed cell [22]. Experiments confirmed slightly increased harmonic peaks when working at increased excitation radii, e.g. at 3 dB attenuation the intensity of harmonic peaks was ∼50% higher compared to 6 dB conditions. The presence of harmonics did not create a problem since the peaks were automatically rejected by the deisotoping processing. Generally, the location of harmonic peaks can be accurately predicted and the peaks can be removed in a post-processing step, with minor or no interference to identification of useful peaks, thanks to the high spectral resolution.
A comparison of TIC (Figure 4g) and mass accuracy (Figure 4h) versus excitation power for the open and compensated cell configurations produced similar results for excitation attenuation above 7 dB, which indicates good stability and reproducibility of the measurements. At higher excitation powers of 7 to 3 dB, the compensated cell produced gradually increasing signal intensity and improved mass measurement accuracy, while TIC and mass accuracy decreased for the open cell. Similar trends were observed for trapping voltages from 0.5 to 16 V and for the Bruker excitation time parameter from 80 to 320 μs.
The different responses of the open and compensated cells to excitation power can be interpreted in terms of magnetron frequency shifts, (as considered in the Cell Design section). The excitation dB values are related to the post-excitation cyclotron radius via the following relationship:
| (9) |
Here Rmax represents the maximum excitation radius that corresponds to the loss of ions on the cell electrode; the excitation power corresponding to Rmax, was dB0 ≈ 0.5 dB, according to TIC profiles in Figure 4g. As an approximation, one can assume Rmax equal to the cell radius r0, and neglect contributions from the magnetron radius and ion cloud radial size. The use of eq. 3 and 3 dB (i.e., the optimal excitation power for the compensated cell) resulted in a calculated ion excitation radius of 0.75 r0.
The radial potential plot at a distance of 0.75 from the cell axis showed pronounced non-uniformity of the radial field for the open cell configuration (Figure 3b), which leads to variations of the effective cyclotron frequency of about 20 ppm, as estimated above. This estimation is roughly consistent with the peak splitting observed in the open cell at 3 dB excitation power (Figure 5b). The compensated cell had 10× lower deviations from the ideal potential, which resulted in a more uniform radial field profile (Figure 3d), and the corresponding frequency variations were not visible in the experimental peak shape (Figure 5d). The smaller axial variations of the magnetron frequency resulted in coherent ion cyclotron motion for a longer time scale of ∼1 s, which explains the difference in ion transients for the open and compensated cell configurations (Figures 5a, c).
Reduced excitation power (i.e., attenuation >7 dB) corresponded to excitation radii less than 0.5 r0, where the open cell anharmonicity was reduced, as seen from the Er/r profile for 0.5 r0 (Figure 3b), and thus the similar TIC profiles for open and compensated cells (Figure 4g). When only a short initial interval of the ion transient Δt ∼0.1 s was used for the TIC calculation, the open cell TIC continued to increase up to 3 dB, similar to the compensated cell behavior, which confirmed that shorter transients rather than smaller initial signal intensity was the factor behind TIC decline for the open cell at excitation radii above 0.5 r0.
The mass measurement errors increased for reduced excitation powers (i.e., attenuation above 7 dB) for both the open and compensated cells, which is consistent with increased space charge effects due to a more compact configuration of rotating ion clouds. A reduction in attenuation to below 6 dB leads to a gradual improvement of the mass accuracy for the compensated cell below 0.1 ppm in the range of 3 to 5 dB for small ion population with Tacc of 0.05 s (Figure 4h). The open cell configuration exhibited the opposite trend; mass errors increased to 0.6 ± 0.1 ppm in the range 4 to 7 dB, which is consistent with increased magnetron frequency shifts that caused deviations from the calibration law.
The relatively low ion population corresponding to Tacc of 0.05 s lead to minimal space charge related frequency perturbations, which explained the very good mass accuracy achievable for optimal excitation conditions (Figure 4h). The compensated cell maintained coherent ion motion at increased post-excitation radii, which further reduced space charge effects. The mass accuracy improvement was reproducibly observed for excitation powers that corresponded to excitation radii near 0.7 of the cell radius. Table 1 lists the internal calibration details from mass spectra with an excitation power of 3 dB and external accumulation times of 0.05 and 0.1 s, using 11 calibrants that cover a m/z range from 513 to 1026 and a dynamic range from 17 to 479 (units of signal-to-noise ratio, SNR column). The mass measurement errors with an external accumulation time of 0.05 s were below 0.00004 Da, or in terms of relative deviation (dmr) below 0.05 ppm, and the RMS mass error for all 11 calibrants was 0.016 ppm. Remarkably, the accurate mass measurements were obtained in the high-throughput mode, using single transients, 0.68 s acquisition time, and no elaborate procedures such as multi-stage ion cooling or trapping potential manipulations.
The mass resolving power (last column of Table 1) closely approaches the theoretical maximum for FT-ICR line shape in the low-pressure limit [46], with a resolution of 390,000 at m/z 530.8 and an acquisition time of 1.36 s. The resolution did not depend noticeably on the external accumulation time, indicating a negligible Coulomb repulsions, or space charge effects. This observation confirms that the compensated cell maintained near ideal coherent ion motion at excitation radii ∼0.7 r0.
Increased ion populations with Tacc of 0.1 and 0.2 s lead to increased mass measurement errors (Figure 4c and 4f), which is consistent with the general trend observed in FT-ICR MS. A sample single transient from the compensated cell with Tacc of 0.1 s resulted in a ×2 increase in ion signal and correspondingly, an increased base peak dynamic range of ∼1000 in SNR units. Individual errors [column dm (2) in Table 1] were within 0.0004 Da, and RMS of all 11 mass measurement errors increased to 0.17 ppm. Importantly, the conditions of increased ion populations resulted in a 2-fold improvement in mass accuracy in the compensated cell compared to the open cell, due to the larger achievable excitation radii and correspondingly lower space charge related perturbations of the calibration law.
To further characterize the utility of the new cell for high-throughput proteomics measurements, we have conducted LC-MS measurements with a standard mixture of proteins digested with trypsin. The mass accuracy and coverage of each analysis can be characterized by a mass accuracy histogram, Figure 6 [29]. The infinity cell data were acquired with the same front end configuration, just before replacing the infinity cell by the new cell. It should be noted that the current front end configuration is not optimized for the tryptic peptide LC-MS measurements and uses no gain control, so the mass accuracy obtained from such measurements is determined by the ion population. For comparison, we are using conditions for each of the configurations, including the external accumulation time (0.1 s) and sample concentration (0.044 mg/mL), which produced the optimal number of identifications, ∼400 peptide mass tags. The compensated cell produced similar or better mass tag coverage, with better mass measurement precision, below 1 ppm at FWHM of the histogram peak. The baseline mass accuracy improved from 6-8 ppm for the infinity cell and the open cell to 2 ppm for the compensated cell. The baseline mass accuracy determines the optimal mass accuracy tolerance for bio-applications and is critical for improving the identification confidence [29]. This initial test showed a better FWHM mass precision, 0.9 ppm, than reported in the recent study on mass measurement accuracy of our proteomics data production FTICR instruments, e. g. ∼3 ppm FWHM for 11 Tesla FT-ICR before recalibration [29]. LC-MS data for 10 times diluted solution produced 164 hits with 0.7 ppm FWHM and 1.3 ppm baseline accuracy, indicating that space charge effects produced a major contribution to observed mass errors and optimization of the front end should produce further mass accuracy improvement.
Figure 6.
Mass accuracy histograms obtained for LC-MS separation of the standard mixture of proteins digested with trypsin, number of matched elution features per mass residual bin of 0.5 ppm, see text. Open cell, compensation is not applied, gray curve: 3.6 ppm FWHM, 7.6 ppm baseline, 356 hits. Infinity cell, dotted curve: 2.2 ppm FWHM, 5.8 ppm baseline, 446 hits. Compensated cell, black curve: 0.9 ppm FWHM, 2.1 ppm baseline, 465 hits (bin reduced to 0.2 ppm, with y-scale adjusted ×2.5 to compensate for the differing bin size).
Conclusion
We developed a new FT-ICR trapped ion cell with a DC trapping potential closely approaching that of an ideal Penning trap, i.e. 3D axial quadrupolar potential distribution. The new cell builds on the now common open cylindrical geometry, supplemented with two pairs of cylindrical compensation segments, making the total number of segments equal to 7. Each segment was split into 4 sectors, and all 28 sectors were involved in the capacitively coupled excite/detect circuit, similarly to the regular capacitively coupled open cylindrical cell. Numerical calculations, aimed at minimization of spatial variations of the radial electric field divided by radius, produced dimensions and compensation voltages that deliver an order-of-magnitude suppression of these variations, ensuring practically constant effective ion cyclotron frequency for ions occupying various radial and axial positions. The new cell can be easily installed in place of a standard ICR cell and is less involved, both mechanically and electrically, than harmonized cells reported previously, the matrix shimmed cubic cell having 150 elements [22], and the 32 pole cell having 32 poles plus 15 cylindrical segments [24].
Experimental study of the new cell aimed at its utility for proteomics applications that require high mass measurement accuracy and coverage in a robust high throughput LC-FT-ICR platform. The capability of the shimmed cell to produce mass spectra without peak splitting at increased ion cyclotron radii, 0.7 of the cell radius, first reported for the matrix shimmed cell [22], was reproduced in the present study, now with the mass resolving power not compromised by the space charge effects.
Performance optimization covering a range of excitation powers and external accumulation times confirmed advantages of the new cell both in improved mass measurement accuracy and in higher achievable ion signals. Mass accuracy tests using 11 calibrant ions covering a wide m/z range, 513 to 1025, showed 0.01 ppm - level deviations from the calibration law, reproducibly obtained for low ion populations and optimally high excitation radii. The accurate mass measurements were obtained in the high-throughput mode, using single 0.68 s transients without additional time consuming procedures, such as, multi-stage ion cooling or trapping potential manipulations.
ACKNOWLEDGEMENTS
The authors gratefully acknowledge D. C. Prior, J. R. Ewing, G. A. Anderson and H. R. Udseth for help with the cell design, and C. D. Masselon and A. N. Vilkov for discussions of the FT-ICR cell harmonicity issues, M. E. Belov for reading the manuscript and providing helpful suggestions. Portions of this work were supported by the National Center for Research Resources (RR 018522), the National Institute of Allergy and Infectious Diseases (NIH/DHHS through interagency agreement Y1-AI-4894-01), the National Institute of General Medical Sciences (NIGMS, R01 GM063883), and the U. S. Department of Energy (DOE) Office of Biological and Environmental Research. Work was performed in the Environmental Molecular Science Laboratory, a DOE national scientific user facility located on the campus of Pacific Northwest National Laboratory (PNNL) in Richland, Washington. PNNL is a multi-program national laboratory operated by Battelle for the DOE under Contract DE-AC05-76RLO 1830.
Footnotes
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References
- 1.Comisarow MB, Marshall AG. Fourier-Transform Ion-Cyclotron Resonance Spectroscopy. Chem. Phys. Lett. 1974;25:282–283. [Google Scholar]
- 2.Marshall AG. Milestones in Fourier transform ion cyclotron resonance mass spectrometry technique development. Int. J. Mass Spectrom. 2000;200:331–356. [Google Scholar]
- 3.Marshall AG, Hendrickson CL. Fourier transform ion cyclotron resonance detection: principles and experimental configurations. Int. J. Mass Spectrom. 2002;215:59–75. [Google Scholar]
- 4.Smith RD, Anderson GA, Lipton MS, Paša-Tolić L, Shen Y, Conrads TP, Veenstra TD, Udseth HR. An accurate mass tag strategy for quantitative and high-throughput proteome measurements. Proteomics. 2002;2:513–523. doi: 10.1002/1615-9861(200205)2:5<513::AID-PROT513>3.0.CO;2-W. [DOI] [PubMed] [Google Scholar]
- 5.Aebersold R, Mann M. Mass spectrometry-based proteomics. Nature. 2003;422:198–207. doi: 10.1038/nature01511. [DOI] [PubMed] [Google Scholar]
- 6.Page JS, Masselon CD, Smith RD. FTICR mass spectrometry for qualitative and quantitative bioanalyses. Current Opinion in Biotechnology. 2004;15:3–11. doi: 10.1016/j.copbio.2004.01.002. [DOI] [PubMed] [Google Scholar]
- 7.Pasa-Tolic L, Masselon C, Barry RC, Shen Y, Smith RD. Proteomic analyses using an accurate mass and time tag strategy. Biotechniques. 2004;37(4):621–639. doi: 10.2144/04374RV01. [DOI] [PubMed] [Google Scholar]
- 8.Bogdanov B, Smith RD. Mass Spectrom. Rev. 2005;24:168. doi: 10.1002/mas.20015. [DOI] [PubMed] [Google Scholar]
- 9.Hawkridge AM, Nepomuceno AI, Lovik SL, Mason CJ, Muddiman DC. Effect of post-excitation radius on ion abundance, mass measurement accuracy, and isotopic distributions in Fourier transform ion cyclotron resonance mass spectrometry. Rapid Commun. Mass Spectrom. 2005;19:915–918. doi: 10.1002/rcm.1871. [DOI] [PubMed] [Google Scholar]
- 10.Frahm JL, Capo Velez CM, Muddiman DC. Understanding the influence of post-excite radius and axial confinement on quantitative proteomic measurements using Fourier transform ion cyclotron resonance mass spectrometry. Rapid Commun. Mass Spectrom. 2007;21:1196–1204. doi: 10.1002/rcm.2957. [DOI] [PubMed] [Google Scholar]
- 11.Caravatti P, Allemann M. The infinity cell - a new trapped-ion cell with radiofrequency covered trapping electrodes for Fourier-Transform Ion-Cyclotron Resonance mass-spectrometry. Organic Mass Spectrometry. 1991;26(5):514–518. [Google Scholar]
- 12.Beu SC, Laude DA. Elimination of Axial Ejection during Excitation with a Capacitively Coupled Open Trapped-Ion Cell For Fourier-Transform Ion-Cyclotron Resonance Mass-Spectrometry. Analytical Chemistry. 1992;64(2):177–180. [Google Scholar]
- 13.Vartanian VH, Laude DA. Optimization of a Fixed-Volume Open Geometry Trapped Ion Cell for Fourier-Transform Ion-Cyclotron Mass-Spectrometry. Int. J. Mass Spectrom. 1995;141(3):189–200. [Google Scholar]
- 14.Guan SH, Marshall AG. Ion Traps For Fourier-Transform Ion-Cyclotron Resonance Mass-Spectrometry - Principles And Design Of Geometric And Electric Configurations. Int. J. Mass Spectrom. 1995;146:261–296. [Google Scholar]
- 15.Gabrielse G. Relaxation calculation of the electrostatic properties of compensated Penning traps with hyperbolic electrodes. Physical Review A: Atomic, Molecular, and Optical Physics. 1983;27:2277–90. [Google Scholar]
- 16.Gabrielse G, MacKintosh FC. Cylindrical Penning traps with orthogonalized anharmonicity compensation. International Journal of Mass Spectrometry and Ion Processes. 1984;57:1–17. [Google Scholar]
- 17.Gabrielse G, Haarsma L, Rolston SL. Open-endcap penning traps for high-precision experiments. Int. J. Mass Spectrom. 1989;88(23):319–332. [Google Scholar]
- 18.Naito Y, Fujiwara M, Inoue M. Improvement of the electric field in the cylindrical trapped-ion cell. Int. J. Mass Spectrom. Ion Processes. 1992;120:179–92. [Google Scholar]
- 19.Vartanian VH, Laude DA. Optimization of a fixed-volume open geometry trapped ion cell for Fourier transform ion cyclotron mass spectrometry. Int. J. Mass Spectrom. Ion Processes. 1995;141:189–200. [Google Scholar]
- 20.Vartanian VH, Hadjarab F, Laude DA. Open cell analog of the screened trappedion cell using compensation electrodes for Fourier transform ion cyclotron resonance mass spectrometry. Int. J. Mass Spectrom. 1995;151(23):175–187. [Google Scholar]
- 21.Knobeler M, Wanczek KP. Theoretical investigation of improved ion trapping in matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance mass spectrometry: independence of ion initial velocity. Int. J. Mass Spectrom. Ion Processes. 1997;163:47–68. [Google Scholar]
- 22.Jackson GS, White FM, Guan SH, Marshall AG. Matrix-shimmed ion cyclotron resonance ion trap simultaneously optimized for excitation, detection, quadrupolar axialization, and trapping. J. Am. Soc. Mass Spectrom. 1999;10(8):759–769. [Google Scholar]
- 23.Fei X, Snow WM. Cylindrical Penning traps with dynamic orthogonalized anharmonicity compensation for precision experiments. Nuclear Instruments and Methods in Physics Research A. 1999;425:431–440. [Google Scholar]
- 24.Bruce JE, Anderson GA, Lin CY, Gorshkov M, Rockwood AL, Smith RD. A novel high-performance Fourier transform ion cyclotron resonance cell for improved biopolymer characterization. J. Mass Spectrom. 2000;35:85–94. doi: 10.1002/(SICI)1096-9888(200001)35:1<85::AID-JMS910>3.0.CO;2-7. [DOI] [PubMed] [Google Scholar]
- 25.Barlow SE, Tinkle MD. “Linearizing” an ion cyclotron resonance cell. Rev. Sci. Instrum. 2002;73(12):4185–4200. [Google Scholar]
- 26.Gooden JK, Rempel DL, Gross ML. Evaluation of different combinations of gated trapping, RF-only mode and trap compensation for in-field MALDI Fourier transform mass spectrometry. JASMS. 2004;15:1109–1115. doi: 10.1016/j.jasms.2004.05.006. [DOI] [PubMed] [Google Scholar]
- 27.Rempel DL, Gross ML. Compensation Designs for Cylindrical Traps in FTMS that Permit Improved Coulombic Dynamic Range; 53rd ASMS conference; 2005; proceedings on CD ROM. [Google Scholar]
- 28.Tolmachev AV, Smith RD. A multi-region recalibration approach for obtaining ppm-range mass measurement accuracy for LC-MS analyses of complex proteomics mixtures; 54th ASMS conference; 2006; proceedings on CD ROM. [Google Scholar]
- 29.Tolmachev AV, Monroe ME, Jaitly N, Petyuk VA, Adkins JN, Smith RD. Mass measurement accuracy in analyses of highly complex mixtures based upon multidimensional recalibration. Anal. Chem. 2006;78(24):8374–8385. doi: 10.1021/ac0606251. [DOI] [PubMed] [Google Scholar]
- 30.Tolmachev AV, Udseth HR, Smith RD. The charge capacity limitations of radio frequency ion guides in their use for improved ion accumulation and trapping in mass spectrometry. Anal. Chem. 2000;72:970–978. doi: 10.1021/ac990729u. [DOI] [PubMed] [Google Scholar]
- 31.Tolmachev AV, Udseth H, Smith RD. Modeling the ion density distribution in collisional cooling RF multipole ion guides. Int. J. Mass Spec. 2003;222:155–174. [Google Scholar]
- 32.Masselon C, Tolmachev AV, Anderson GA, Harkewicz R, Smith RD. Mass Measurement Errors Caused by “Local” Frequency Perturbations in FTICR Mass Spectrometry. J.Am.Soc.Mass Spectrom. 2002;13(1):99–106. doi: 10.1016/S1044-0305(01)00333-6. [DOI] [PubMed] [Google Scholar]
- 33.Vartanian VH, Laude DA. Motional averaging of ions for control of magnetron motion in Fourier transform ion cyclotron resonance open-geometry trapped-ion cells. Int. J. Mass Spectrom. 1998;178(3):173–186. [Google Scholar]
- 34.Easterling ML, Mize TH, Amster IJ. Routine Part-Per-Million Mass Accuracy for High-Mass Ions: Space-Charge Effects in MALDI FT-ICR. Anal. Chem. 1999;71:624–632. doi: 10.1021/ac980690d. [DOI] [PubMed] [Google Scholar]
- 35.Taylor PK, Amster IJ. Space charge effects on mass accuracy for multiply charged ions in ESI-FTICR. Int J Mass Spectrom. 2003;222:351–361. [Google Scholar]
- 36.Wieghaus A, Froehlich U, Malek R, Horning S. The Grid Cell: a new cell design for reduced z-axis ejection in FTICR MS; 54th ASMS conference; Seattle. May 28-June 1, 2006; proceedings on CD ROM. [Google Scholar]
- 37.Ledford EB, Jr., Rempel DL, Gross ML. Space charge effects in Fourier transform mass spectrometry. Mass calibration. Anal. Chem. 1984;56:2744–2748. doi: 10.1021/ac00278a027. [DOI] [PubMed] [Google Scholar]
- 38.Shi SDH, Drader JJ, Freitas MA, Hendrickson CL, Marshall AG. Comparison and interconversion of the two most common frequency-to-mass calibration functions for Fourier transform ion cyclotron resonance mass spectrometry. Int J Mass Spectrom. 2000;195:591–598. [Google Scholar]
- 39.Francl TJ, Sherman MG, Hunter RL, Locke MJ, Bowers WD, McIver RT. Experimental determination of the effects of space charge on ion cyclotron resonance frequencies. Int. J. Mass Spectrom. Ion Processes. 1983;54:189–199. [Google Scholar]
- 40.Van Dyck RS, Jr., Wineland DJ, Ekstrom PA, Dehmelt HG. High mass resolution with a new variable anharmonicity Penning trap. Applied Physics Letters. 1976;28:446–448. [Google Scholar]
- 41.Van Dyck RS, Jr., Schwinberg PB. Preliminary proton/electron mass ratio using a compensated quadring Penning trap. Physical Review Letters. 1981;47:395–398. [Google Scholar]
- 42.Easterling ML, Pitsenberger CC, Amster IJ. RF capacitive coupling with efficient gated trapping in internal matrix-assisted laser desorption ionization Fourier transform ion cyclotron resonance. Journal Of The American Society For Mass Spectrometry. 1997;8(2):195–198. [Google Scholar]
- 43.Guoa X, Duursmaa M, Al-Khalili A, McDonnell a LA, Heeren RMA. Design and performance of a new FT-ICR cell operating at a temperature range of 77-438 K. International Journal of Mass Spectrometry. 2004;231:37–45. [Google Scholar]
- 44.Sharma S, Simpson DC, Tolic N, Jaitly N, Mayampurath AM, Smith RD, Pasa-Tolic L. Proteomic profiling of intact proteins using WAX-RPLC 2-D separations and FTICR mass spectrometry. Journal Of Proteome Research. 2007;6(2):602–610. doi: 10.1021/pr060354a. [DOI] [PubMed] [Google Scholar]
- 45.Tolmachev AV, Masselon CD, Anderson GA, Pasa-Tolic L, Udseth HR, Smith RD. Physical and Mathematical Frequency Shifts in FTICR Spectra; 50th ASMS Conference on Mass Spectrometry and Allied Topics; Orlando, Florida. June 2-6, 2002; Proceedings on CD-ROM. [Google Scholar]
- 46.Comisarow MB, Marshall AG. Theory of Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. I. Fundamental Equations and Low-Pressure Line Shape. J. Chem. Phys. 1976;64:110–119. [Google Scholar]

















