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A Mass Spectrometry Primer, Part III


LCGC North America



Michael P. Balogh
Part III concludes the print version of our three-part series, "A Mass Spectrometry Primer," with the glossary to follow in a fourth and final installment. To recap the basis for undertaking this work, technological changes that affect our knowledge, in terms of its depth and our speed of accessing it, spur a couple of observations about print media versus electronic. Anything published must be scholarly because it often serves as a primary resource for certain facts, equations, and other things we cannot, or would not, remember. Paradoxically, however, almost as soon as we commit words to describing or explaining a fast-developing area of technology, their value diminishes as new insights form. And though the marvels of electronic communication are considerable, they nevertheless fail to resolve all of the print's shortcomings as a static medium. For example, increasingly ubiquitous web logs usually are focused narrowly and posted by a single individual. We have yet to benefit from the deeper understanding of our science that interactive conversations could bring.

As for primers, they abound in various forms and by various authors (I reference some of them here). But this primer, which lives on the internet, differs from all others. It is a self-validating document, continually updated with the comments and suggestions of American and European scientists. I invite your observations on this electronic primer, which you can access by visiting the Waters website at http://www.waters.com/ and then clicking Resource Library > Primers.

Mass Accuracy and Resolution


Figure 1: The effect of increasing mass accuracy for unambiguous identification of compounds (T.L. Quenzer, J.M. Robinson, B. Bolanios, E. Milgram, and M.J. Greig, Automated accurate mass analysis using FTICR mass spectrometry, Proceedings of the 50th Annual Conference on Mass Spectrometry and Allied Topics, Orlando, Florida, 2002).
Increased, measured mass accuracy and resolution is now a dominant tool for structural characterization in various applications beyond early drug discovery. With their broad reach of specificity and utility, quadrupole time-of-flight (QTOF) instruments, offered by a number of manufacturers today, are replacing other LC–MS technologies.


See MS — The Practical Art, LCGC (chromatographyonline.com)
Although there are even higher order instruments a QTOF's high mass accuracy, which falls within a few parts per million of the true, calculated, monoisotopic value, and its high resolution — as much as 10 times higher than a quadrupole instrument's — permits us to determine empirical formulas according to mass defect (where the critical mass value of hydrogen and other atoms present serve as a differentiator). Speciation analysis — discerning the difference between an aldehyde and a sulfide, for example — becomes possible with an increase in mass accuracy above the quadrupole limits to 30 ppm, where the two masses differ by 0.035 Da. Differentiation between the metabolic processes involving methylation is more demanding, however. Adding CH2 produces an increase over the precursor (response for the drug alone) in the measured mass of +14.0157 Da, as compared with a two-stage biotransformation involving hydroxylation (addition of oxygen) followed by oxidation at a double bond (loss of H2), which produces an increase of +13.9792 Da. Yet both measurements, when limited by nominal resolution — a typical quadrupole response — will look like +14 Da.

High mass accuracy and low resolution: Low-resolution quadrupole instruments perform well for extremely high mass-accuracy measurements, like those used for analyzing proteins. The masses of proteins generally are defined as "average" values when the isotope peaks are not resolved relative to each other. Average mass is the weighted mean of all the isotopic species in a molecule. The instrumental resolution normally employed on quadrupole instruments broadens the resolved response for a 10-kDa protein by a factor of x1.27. That factor increases significantly as the mass increases (for example, to x2.65 at 100 kDa). However, by reducing the peak width to m/z 0.25 (increasing resolution to 4000 resolution) rather than limiting the instrument resolution to 1000 using the typical peak width (m/z 0.6) improves the situation dramatically.

In practice, electrospray ionization (ESI)–MS analyses of large molecules produce multiply charged ions. Hence, the widths need to be divided by the number of charges on an ion to give the width on the mass-to-charge ratio scale. For example, a 20-kDa protein with 10 or 20 charges on it will produce isotope envelopes that are 0.9 or 0.45 m/z units wide at m/z ~2000 or ~1000, respectively.

When these ions are observed on an instrument set for a significantly lower resolution than that required to resolve the isotopes (say less than 10,000 resolution), a single peak is produced for each charge state. The overall width is determined by combining the instrument peak width with the theoretical width of the isotopic envelope divided by the number of charges on the ion. The instrumental peak width would be determined on the first isotope peak of a low molecular weight compound at the same m/z value as the multiply charged protein peak.

How much accuracy do we need, or can we realistically achieve, and what are the compromises? Consider the requirements for unambiguous characterization from the Journal of the American Society for Mass Spectrometry author's guidelines (March 2004). For C, H, O, N compositions (C0–100, H3–74, O0–4, and N0–4) a nominal m/z response at 118 needs only an error not exceeding 34 ppm to be unambiguous, where a m/z response at 750 requires precision better than 0.018 ppm to eliminate "all extraneous possibilities."

Comparing precision from instrument to instrument: millimass units (mmu), measurement error (ppm), and resolution According to the Accurate Mass Best Practice Guide of the VIMMS Programme, an initiative that forms part of the UK National Measurement System, most instruments used for accurate mass measurements are capable of achieving precision of 10 ppm or better.

A calculated mass of 118 Da measured by a modern mass spectrometer to within 2 mmu accuracy would display 17 ppm error, sufficient by today's standards for unambiguous determination of a chemical formula of that mass:

  • Monoisotopic calculated exact mass = 118 Da
  • Measured accurate mass = 118.002 Da
  • Difference = 0.002 mmu
  • Error (Difference/exact mass × 106 ) = 17 ppm

An instrument capable of a response at 750 m/z, also deficient by 2 mmu, would be accurate to 2.7 ppm. In the first case, the measurement is more than sufficient for unambiguous identification of a chemical formula, according to the published standards of the Journal of The American Society for Mass Spectrometry. But in the latter case, the measurement is insufficiently precise. Only the highest order Fourier-transform ion cyclotron resonance (FTICR) MS can achieve such precision at higher masses.

A comprehensive method of evaluating instrument mass accuracy measurement capability, which resembles intended use, is to calcualte the root mean square (RMS) error. To illustrate its use, the following is adapted from the mass measurement accuracy specification of a commercial TOF mass spectrometer.

"The mass measurement accuracy of the instrument, under normal operating conditions, will be better than a given ppm RMS over the given m/z range, based on a number of consecutive repeat measurements of an analyte peak (of given m/z), using a suitable reference peak (of given m/z). Analyte and reference peaks must have sufficient intensity and be free of interference from other masses.""

There are some important points and assumptions to be considered:

1. Assumes an instrument calibration has already been performed with peaks of known mass using a calibration standard. The reference peak is used to account for any variation in the instrument calibration over time and mass measurement accuracy is determined using the analyte peak.

2. Normal operating conditions — also can include details of chromatographic conditions (for LC–MS performance specifications) and any related MS operating conditions (for example, mass resolution, m/z of interest, or spectral acquisition rate).

3. Sufficient intensity — assumes that the ion count is not detrimental to characterization of the (mass measurement) accuracy and precision of the instrument in question. Too few ions leads to poor ion statistics and too many ions can lead to detector saturation, both of which result in a greater variation in the standard deviation of repeat measurements and will influence calculation of the RMS error adversely (also relevant to instrument calibration).

4. Free from interferences — assumes that the mass measurement of the peak of known mass is free from interference by ions of the same or similar mass. Overlapping peaks lead to poor mass measurement accuracy, which is also detrimental to characterizing the accuracy or precision of the instrument properly (also relevant to instrument calibration).

5. The reference or analyte peak selected should be a good representation of the m/z range, which is relevant to the analysis of a particular sample type.

The RMS error is calculated using the following relation, where Eppm is the parts-per-million error and n is the number of masses considered:





Figure 2: Increased filtering or restriction of error in the measurement reduces the possible candidates for a given result.
It is worth noting the RMS error allows some measurements to fall outside the ppm error "window of interest" (for example, 5 ppm RMS). To ensure quality measurements, the conditions described previously must be satisfied (particularly regarding intensity and influence of interferences - balanced ion statistics with clear peak definition in the spectra) over a number of repeat injections. Many reported resolution and mass accuracy numbers that you see are not RMS error numbers, but instead originate from a single selected (favorable) ion.


Figure 3: Importance of increased resolution when differentiating closely related masses.
It is important to remember in all applications that a weak signal (excessively high resolution) can yield poor ion statistics and can therefore be unusable. Too strong a signal can be equally useless, causing detector saturation. Ideally balanced ion statistics with definition in the spectra is the goal.

Some comparisons: With respect to Figure 3:

  • quadrupole resolution is not sufficient to differentiate the two compounds in the upper figure.
  • with a resolving power of ~5000, TOF data clearly show two distinct peaks, which can be mass measured accurately to < 5 ppm.

It is important to appreciate the various interrelated roles played in accurate-mass precision by the shift between definitions of mass and increasing resolution and factors such as peak shape and the need for calibration. If these are not understood clearly and taken into consideration, mass misassignments and other undesirable results can occur.


Figure 4: Resolution becomes increasingly important as mass increases to properly determine the monoisotopic and average mass relative to the peak top (S. Carr and R. Annan, Unit 16.1, , in Current Protocols in Protein Science [J. Wiley and Sons, New York, 1996])
Figure 3 shows quadrupole and TOF response where both mass values on the TOF data are within 1 mDa of the exact mass. The two fragments of different compositions are from the same analyte and therefore in the source at the same time. Even the best chromatography won't help in this case so this emphasizes one of the reasons higher resolution is useful especially in the analysis of unknowns. This applies equally well to QTOF product ion data versus product ion data from a triple quad. As an added advantage with this higher degree of resolution the extracted ion current plot of each allows differentiation of the oxygen containing and alkyl containing analytes selectively from the chromatograms where the quadruole data would lack this capability.


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