• Application Note

Combining Mass and UV Spectral Data with Empower 3 Software to Streamline Peak Tracking and Coelution Detection

Combining Mass and UV Spectral Data with Empower 3 Software to Streamline Peak Tracking and Coelution Detection

  • Paula Hong
  • Patricia R. McConville
  • Waters Corporation

Abstract

This application note describes combining mass and UV spectral analysis allows for tracking peaks and identifying coeluting peaks in a single run.

Benefits

  • Combining mass and UV spectral analysis allows for tracking peaks and identifying coeluting peaks in a single run
  • Flexible software combined with the quaternary-based ACQUITY UPLC H-Class System allows for mobile phase pH manipulation with Auto•Blend Plus
  • Software allows the analysis of UV and mass spectral data in a single workflow, streamlining the data analysis

Introduction

Methods development for reversed-phase liquid chromatographic (RPLC) separations typically requires many time-consuming steps, including extensive data processing. While many screening protocols rely on UV detection, a single detection technique provides insufficient information for missed or coeluted peaks.

Isobaric compounds can be difficult to distinguish with a mass detector. In addition, minor components may be missed against background, and some important sample components may not ionize. Peak tracking with UV is not possible for compounds that lack a chromophore. Spectra may not be reliably distinguishable. It is not generally easy to recognize which spectra have been “summed” in a coelution. Due to extreme differences in concentration, the minor peak spectrum may simply disappear in a coelution. Finally, UV spectra may change with solvatochromatic effects, in particular with changes in pH.

To address some of these challenges, multiple detectors can be used for analysis of a single sample with each detection technique dependent on a different physical or chemical property of the molecule. Combining detector responses into a single software interface allows streamlined data analysis in a simplified platform.

Experimental

Sample description

Set of analgesics containing acetylsalicylic acid, acetaminophen, 2-acetamidophenol, acetanilide, phenacetin, and caffeine were prepared at 0.2 mg/mL in 90:10 water/acetonitrile.

UPLC conditions

LC system:

ACQUITY UPLC H-Class System with ACQUITY Isocratic Sample Manager (ISM)

UV detector:

ACQUITY UPLC PDA

Column:

ACQUITY UPLC BEH C18, 1.7-μm, 2.1 x 50 mm

Column temp.:

30 °C

Sample temp.:

20 °C

Solvent A:

125mM formic acid in water

Solvent B:

125 mM ammonium hydroxide in water

Solvent C:

Acetonitrile

Solvent D:

Water

Composition:

Prepared using Auto•Blend Plus

Wash solvent:

50:50 water/ acetonitrile with 0.05% formic acid

Purge solvent:

90:10 water/methanol

Seal wash:

90:10 water/methanol

Flow rate:

0.6 mL/min

Gradient:

2-10% acetonitrile in 0.5 min, 10-50% acetonitrile in 0.3 min

Wavelength:

245 nm

Sampling rate:

20 pts/sec

Time constant:

Normal (0.1s)

ISM solvent:

90:10 water/acetonitrile 0.1% formic acid

ISM split:

10 (UPLC)

ISM flow rate:

0.5 mL/min

Injection volume:

1 μL

MS conditions

Mass detector:

ACQUITY QDa

Ionization mode:

ESI+, ESI-

Acquisition range:

100-250 m/z

Sampling rate:

5 pts/s

Capillary voltage:

0.8 kV

Cone voltage:

10 V

Probe temp.:

600 °C

Chromatography data management

Empower 3 FR2

Results and Discussion

In the following study, a mixture of analgesics was analyzed on an ACQUITY UPLC H-Class System with both ACQUITY QDa and ACQUITY UPLC PDA detectors. Empower 3 Software was used as the operating software. The initial screening, at mobile phase pH of 5, resulted in the separation of five of the six components in the standard (Figure 1).

Figure 1. UV chromatogram of analgesic sample at pH 5 UV at 245 nm.

For peak tracking in the separation and to determine the presence of any coelutions, mass and UV spectral data were analyzed in tandem. The mass spectral data was used to identify those components possessing a unique mass in the mixture. For example, tentative identification of peak 4, acetanilide (m/z 136.0) and peak 5, phenacetin (m/z 180.0) could be made. Peak 3 was present in negative ionization mode and was also identified by a unique mass, acetylsalicylic acid (fragment ion at m/z 137.0). Assignment of peak 1 and 2, however, required further investigation of both mass and UV spectral data.

Two isobaric compounds (acetaminophen and 2-acetamidophenol) were present in the mixture (monoisotopic mass of 152.1). In the separation (Figure 1), both peak 1 and peak 2 contain the corresponding mass. In addition, peak 2 contained additional prominent ions, indicating potential coelutions. Therefore, while UV detection is required for peak tracking of the isobaric species, to confirm the identification, the components need to be fully resolved from all other analytes in peak 2.

To evaluate the purity of peak 2, the mass analysis window in Empower 3 Software was used (Figure 2). Evaluation of the peak (1.3 min) reveals m/z 152 and m/z 110 to be present in the leading edge of the peak (Figure 3). In contrast, the trailing edge, while showing the presence of all three masses, reveals a different ion ratio than that of the apex. The presence of the three ions is suggestive of multiple analytes eluting together. Specifically, the different ion ratios and the absence of m/z 195 at the leading edge suggests partial chromatographic resolution. If the ratios had been constant across all time segments, the possibility of fragmentation in the source would have been likely. Given the known composition of the mixture, the predominant mass at the trailing edge of the peak can be identified as caffeine (m/z 195.0). The leading edge contains both the parent ion of the isobaric compounds (2-acetamidophenol or acetaminophen) as well as the common fragment ion m/z 110.0.1

Figure 2. Mass and UV spectral combined view in of analgesics mix in the Empower 3 Mass Analysis window. All mass apex spectrum contain a single predominant mass with the exception of peak 2, which reveals three prominent ions.
Figure 3. Peak purity view in Empower 3 showing mass and UV spectral data of peak 2 in the Mass Analysis window. Comparison of leading, apex and trailing portions of peak indicate different ion ratios, suggestingcoeluting species.

In order to improve the resolution of the coeluting species in peak 2, the effect of mobile phase pH was evaluated. Using flexible software, the reversed-phase gradient was entered directly in pH units using Auto•Blend Plus.2 This process allowed for manipulation of pH without the need for preparing new buffer bottles.

Increased mobile phase pH altered the selectivity of the two coeluting compounds (Figure 4). Caffeine (peak B) was found to be predominant mass (m/z 195) in the later of two unresolved peaks at pH 6. At pH 7, the two species were baseline-separated with caffeine (peak B) eluting later (peak A) at 1.2 min.

Figure 4. Effect of mobile phase pH on the separation of peak 2. Higher mobile phase pH increased resolution between caffeine and 2-acetamidophenol. Baseline separation was achieved at pH 7.

The baseline separation of one of the isobaric compounds (peak A) and caffeine (peak B) at mobile phase pH 7 (Figure 4) enables the use of the UV spectrum for peak tracking of both isobaric compounds. While the predominant mass for both peak 1 (Figure 1) and peak A (Figure 4) is the same, the peak A contains a fragment ion at 110 m/z (Figure 5). Comparison of the mass and UV spectrum for the isobaric compounds provides the information needed for peak identification: the UV spectrum of peak 1 corresponds to that of acetaminophen (λ max of 243 nm). The later eluting peak A could thus be identified as 2-acetamidophenol.

Figure 5. Peak purity view in Empower 3 showing mass and UV spectral data of isobaric compounds in Mass Analysis window. Isobaric compounds can be identified based on UV spectrum.

Conclusion

Methods development using a single detection technique can be challenging. UV spectral data can assist in peak purity and identification, however, it is difficult to perform peak tracking in the presence of coelutions. Mass spectral data can be used to match chromatographic peaks to items on a short list of compounds, but the presence of isobaric compounds can require additional information: complete separation is typically required and not only allows for immediate identification based on the UV but also more reliable quantification.

Typically, identifying these phenomena requires further analyses. For simplified methods development, a chromatographic system using both UV and mass detection and a streamlined software platform can be combined to evaluate peak purity and assist in the identification of coelutions in a single run.

References

  1. Manion JA et al. NIST Standard Reference Database 17. In NIST Chemical Kinetics Database, National Institute of Standards and Technology: Gaithersburg, Maryland, 20899-8320, 2008; Vol. Version 7.0 (Web Version).
  2. Chavali A, Wheat TE, McConville PR. In Automating pH Manipulation in Reversed-phase Method Development, 39th International Symposium on High-Performance-Liquid-Phase Separations and Related Techniques, Amsterdam, the Netherlands, June 16-20, 2013; Waters Corporation, Poster: Amsterdam, the Netherlands, 2013.

720004846, November 2013

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