• Application Note

Targeted and Untargeted Screening of ‘e-liquids’ Using the High Resolution ACQUITY™ RDa™ Mass Detector

Targeted and Untargeted Screening of ‘e-liquids’ Using the High Resolution ACQUITY™ RDa™ Mass Detector

  • Chris Henry
  • Ashley Sage
  • Waters Corporation

Introduction

Electronic nicotine delivery systems (ENDS), also known as ‘vapes’ or e-cigarettes’ are marketed as a healthier alternative to conventional tobacco smoking to reduce health risks and to aid with smoking cessation.1

These products use an ‘e-liquid’ which contains varying levels of nicotine derived from tobacco commonly ranging between 0–20 mg/mL dissolved in a combination of propylene glycol and vegetable glycerin. Flavorings are also added to increase the palatability of the e-liquid. The e-liquid is then heated to create an aerosol which is inhaled.

Although generally regarded as safer than cigarettes due to lower levels of smoke related toxins, e-cigarettes are not completely risk-free. They can still contain nicotine, which is addictive, and other potentially harmful compounds.

Nicotine’s toxicity has been extensively studied and is well understood, with established analytical methods in place to identify and quantify this addictive alkaloid.2,3,4 There is however, a growing interest in understanding the potential negative health impacts from the chemicals used to formulate the bulk e-liquid. Concerns around quality control in the manufacture of these products have been raised since e-liquids are not manufactured to the quality control standards of medications or drug delivery devices.5

There is particular focus on carbonyl containing compounds, which have the potential to be themselves harmful on inhalation. When heated, carbonyl containing compounds can produce carboxyl radicals, a form of reactive oxygen species (ROS).6,7 Therefore, there is a need for routine screening and characterization of the chemicals present in e-liquids.

With the ACQUITY RDa Mass Detector and the UNIFI™ screening platform utilizing in-built libraries, routine screening and compound characterization is achievable without the need for HRMS (High Resolution Mass Spectrometry) expertise.

Within this application note, focusing on the bulk matrix of the product, a commercially available nicotine-free e-liquid was screened against the Waters™ extractables and leachables (E and L) library. The samples were analyzed by liquid chromatography coupled to the ACQUITY RDa Time-of-flight Mass Spectrometer. The acquisition was carried out in both positive and negative electrospray ionization mode. The simultaneous acquisition of high and low energy, Full Scan with Fragmentation, enabled the use of acquired fragment information which increased compound identification confidence.

Major components were identified by mass accuracy measurement <5 ppm. The identification was confirmed by precursor accurate mass and fragments generated in the high energy scan. For unidentified compounds, the Elucidation Toolset feature in UNIFI was used. Hedione is putatively present in the samples. Hedione is a common fragrance/flavoring agent with a well understood safety profile for these applications, but no safety data exists for inhalation.

Benefits

  • Routine access to sub 5 ppm mass accuracy HRMS (High Resolution Mass Spectrometry) screening for e-liquid analysis
  • Use of in-source fragmentation source generate pseudo MSspectra
  • Use of simultaneous high and low energy acquisition providing component fragment data for additional characterization confidence
  • Compliant ready UNIFI HRMS software as part of the waters_connect™ Software Solution
  • In built screening workflows for automatic acquiring, processing, and reporting of results
  • Use of screening libraries for automatic data interpretation and visualization
  • Access to online libraries to investigate unknowns

Experimental

Sample Description

A commercially available strawberry flavoured e-liquid (0 mg/mL nicotine) was purchased from an online retailer. An aliquot was weighed into sample vial and diluted to a concentration 0.5% w/v with mobile phase (98:2, A:B). The sample was analyzed using an ACQUITY RDa Detector in positive and negative mode electrospray and screened against the Waters E and L screening library containing intact and fragment mass information.

LC Conditions

LC system:

ACQUITY UPLC™ I-Class Premier

Vials:

TruView™ Max Recovery Vials, (p/n: 186005668CV)

Column:

ACQUITY Premier BEH™ C18 100 x 2.1 m, 1.7 µm (p/n: 186009453)

Column temperature:

70 °C

Sample tempeature:

10 °C

Injection volume:

5 µL

Flow rate:

0.4 mL/min

Mobile phase A:

2 mM ammonium formate/0.1% formic acid

Mobile phase B:

Methanol/0.1% formic acid

Gradient:

2 to 99% B/8.5 minutes

Needle wash:

95:5 MeOH : Acetone

MS Conditions

MS system:

ACQUITY RDa Mass Detector

Ionization mode:

ESI Positive

Acquisition range:

50–2000 m/z

Capillary voltage:

1.00 kV

Cone voltage:

20 V

Full scan with fragmentation:

60–150 V

Desolvation temperature:

500 °C

Ionization mode:

ESI Negative

Acquisition range :

50–2000 m/z

Capillary voltage:

0.8 kV

Cone voltage:

40 V

Full scan with fragmentation:

60–150 V

Desolvation temperature:

500 °C

Gradient Table

Data Management

Chromatography software:

UNIFI version 3.6.0.21

waters_connect version 4.1.0.17

Results and Discussion

Screening Workflow

As E and L samples cover a wide range within a single sample, carryover can be an issue for highly retained compounds. Two main parameters were optimized during the method development. First, the column temperature was increased. The BEH C18 Column can operate up to 80 °C under acidic conditions . As this column chemistry can operate at high temperatures without loss of performance, in this application, the column temperature was increased from 40 °C to 70 °C.8 This improved the separation and the peak shapes (data not shown). The development of this method began with optimization of the chromatographic conditions based on the system suitability solution. Secondly, in order to mitigate the sample-to-sample carry over different needle wash solvents were tested as part of the method development process. Irganox 245, used as an antioxidant, demonstrated significant carryover evident in mobile phase blanks run after these samples. Modifying the existing 100% methanol needle wash with the addition of 5% acetone significantly reduced the carry over to a negligible level (Figure 1). This mix of methanol/acetone (95/5, v/v) was chosen as the needlewash for this analysis.

Effect of needle wash mix on the carry-over. Summary plot showing the removal of Irganox 245 carryover with the addition of 5% acetone to methanol needle wash
Figure 1. Effect of needle wash mix on the carry-over. Summary plot showing the removal of Irganox 245 carryover with the addition of 5% acetone to methanol needle wash.

Using the Full Scan with Fragmentation function allows cone voltage ramping to simultaneously acquire high and low energy spectra. UNIFI processes this information as data independent analysis, displaying the spectra in two channels: low collision energy and high collision energy. The accurate mass in the low collision energy is used in the first step of screening by accurate mass. When a potential candidate is assigned, the high energy data function, containing fragment ion information, is then used to confirm the assignment providing further confidence for compound identification. Some library entries did not contain fragment information therefore, corroboration on fragment information was obtained from external sources.9,10 The average mass accuracy over the five injections of any components identified was measured.

Prior to analysis of the e-liquid sample a standard mix of eighteen common polymer additives (Extractables and Leachables Screening Standard SKU 186008063) was analyzed in both positive and negative mode to serve as a system suitability check.

Screening against the E and L library resulted in all eighteen components were detected with mass accuracy results ranging between -3.3 and 3.4 ppm error in positive mode (Figure 2)/(Table 1).