Featuring excellent sensitivity for the quantification of nitrosamine impurities using the X500R QTOF system
Rahul Baghla1 , Lakshmanan Deenadayalan2 , Jack Steed3 and Eshani Nandita1
1SCIEX, USA; 2SCIEX, India; 3SCIEX, UK
This technical note presents an accurate mass spectrometry method for quantifying 10 mutagenic nitrosamines in Pioglitazone hydrochloride, including NDMA. Excellent chromatographic separation was achieved for all 10 nitrosamines and the Pioglitazone hydrochloride active pharmaceutical ingredient (API) (Figure 1). Statistically significant quantitative performance and linearity were achieved using accurate mass spectrometry at low concentration levels.
Pioglitazone is used to treat type 2 diabetes because it increases the effectiveness of insulin produced by the body to help maintain blood sugar levels and alleviate symptoms.5 It is essential to ensure that drug products used to treat disease are free from contamination and safe to use. As a result, medicines such as Pioglitazone have been scrutinized since the nitrosamine crisis began in 2018.4
The recommended limit for total nitrosamines in most drug products is currently 30 ng/g, which is derived from a maximum daily dose of less than 880 mg/day. Pioglitazone hydrochloride has a maximum daily dose of 45 mg and falls well below this threshold where a 30 ng/g limit can be implemented.4
Standard preparation: A stock solution containing 10 µg/mL of each nitrosamine was prepared in water from standard solutions. Serial dilutions in water were performed to generate calibration solutions with concentrations of 100, 50, 25, 5, 1, 0.4, 0.2, 0.1, 0.050, 0.025 and 0.010 ng/mL.
Spiked sample preparation: A 100 mg sample of Pioglitazone hydrochloride API was weighed into a suitable vessel. A 5 mL aliquot of a 1 ng/mL nitrosamine mixed standard solution was added and vortexed for 30 seconds. The solution was sonicated for 15 minutes and then centrifuged at 4500 rpm for 5 minutes. The supernatant was removed and filtered through a 0.2 µm PTFE filter and transferred to a HPLC vial for analysis. The resulting solution had a sample concentration of 40 mg/mL with a spike concentration of 1 ng/mL of nitrosamine mix. This was equivalent to the 25 ng/g spike concentration of the sample. 1,2
Chromatography: An ExionLC system with a Phenomenex Kinetex Biphenyl column (2.1 x 100 mm, 2.6 µm, 100 Å) was used for chromatographic separation at a flow rate of 0.4 mL/min. The column was operated at 30°C. Mobile phase A was 0.1% formic acid in water and mobile phase B was 0.1% formic acid in methanol. The injection volume was 25 µL. Table 1 summarizes the gradient conditions.
Mass spectrometry: The X500R QTOF system was operated in positive ion mode using APCI ionization. The data were collected using full scan TOF MS and MRMHR methods simultaneously. Table 2 outlines the source and MS parameters and Table 3 summarizes the compound-specific TOF MS and MRMHR parameters.1
Data processing: All data were processed using SCIEX OS software. The MQ4 algorithm was used for quantification.
The accuracy of mass measurement is crucial when using an accurate mass spectrometer. This is increasingly important for compounds that have low molecular weights, such as nitrosamines. Consequently, Table 5 shows the high levels of mass accuracy that the X500R QTOF system can achieve with precursor and fragment ions that are used for the quantification of nitrosamines in spiked samples at 1 ng/mL, equivalent to 25 ng/g of Pioglitazone hydrochloride API.
The calibration curves for 10 nitrosamines were plotted across a concentration range of 0.010-100 ng/mL (Figures 3 and 4). A linear dynamic range of 3 orders of magnitude was achieved for most nitrosamines. No carryover was observed within the blank injection following the highest concentration.
A high level of accuracy was achieved across the calibration range, meeting the requirements for nitrosamine impurities in Pioglitazone hydrochloride. For both precursor ion and MRMHR based quantification of nitrosamines, the r2 value was >0.98 (Table 4).
With accurate mass spectrometry, users can choose a workflow that best meets their needs. With TOF MS, method setup is straightforward and requires minimal method development. The MRMHR workflow adds another layer of selectivity with the flexibility to choose the most sensitive and selective fragments for quantification.
The XICs at the LOQ levels for 2 representative nitrosamines using TOF MS and MRMHR quantification are shown in Figure 5. Based on the experimental observations, the relative sensitivity of the MS method versus the targeted MS/MS method depends on the nature of the interference from the biological matrix. For example, an 8-fold improvement in the LOQ was observed using TOF MS for NDEA. However, in the case of NMBA, a 50-fold improvement in LOQ was reached with MRMHR.
Accuracy and precision metrics were evaluated in standard solutions and spiked samples. A 1 ng/mL concentration in spiked solution (equivalent to 25 ng/g in sample concentration) was used for the assessment. The acceptable criteria for accuracy and precision at this concentration level were ±30% and <25% of the nominal concentration, respectively.
The spiked Pioglitazone hydrochloride API sample met the specified requirements for all nitrosamine impurities (Table 5). Overall, the %CV was <13.5% and <13.3% for precursor ion and MRMHR quantification experiments, respectively. The percent accuracy was within ±15% of the nominal concentration for both quantification workflows. The mass error was <1 ppm in spiked samples, demonstrating high mass accuracy for nitrosamine impurity analysis in the API. The LOQ for NMBA was 5 ng/mL using the precursor ion TOF MS workflow which was found to be BLQ in spiked samples.
Figures 6 and 7 show representative chromatograms of 10 nitrosamines in 1 ng/mL spiked samples using MRMHR and 9 nitrosamines using TOF MS experiments for quantification.
To meet the regulation outlined in 21 CFR Part 11, SCIEX OS software is designed as a closed system, and includes the requirement for the records and signatures to be stored electronically. SCIEX OS software can open raw data files from any visible storage location, which enables the flexibility to work within a closed network using designated processing workstations. Figure 8 illustrates 3 types of controls that are required for 21 CFR Part 11 compliance. The workflow presented here is fully compliant with these guidelines, as SCIEX provides 1) technical controls over hardware and software configuration, 2) network security and secure operating systems and policies and 3) procedures and user training (Figure 8).