Ebru Selen1, Rahul Baghla1, Ian Moore2, Eshani Galermo1, Zoe Zhang1 and Elliott Jones1
1SCIEX, USA; 2SCIEX, Canada
Published date: June 11, 2024
This technical note demonstrates >2x improvement in robustness for an example small molecule analysis on the SCIEX 7500+ system compared to the SCIEX 7500 system. The measurements were made over 10,000 rat plasma matrix injections with no divert valve (Figure 1). Small molecule pharmaceutical compounds such as alprazolam, sulfamethoxazole and diazepam were introduced with a high percentage of rat plasma matrix and analyzed over an extended period to fulfill a thorough assessment of the mass spectrometer to support long-term bioanalysis studies. Mass Guard technology1 was employed to minimize downstream ion path contamination, maintaining the highest levels of sensitivity and stability over an extended period on the SCIEX 7500+ system.
Figure 1: Comparison of raw peak areas for diazepam system suitability tests (SSTs) on the SCIEX 7500 system (blue) and on the SCIEX 7500+ system (green). Each data point represents the mean peak area with standard error bars (n = 8). Between each SST data point, >560 rat plasma extracts were consecutively injected with a total of 9,793 and 10,614 matrix injections on the SCIEX 7500 system and SCIEX 7500+ system, respectively. Trendlines based on moving averages (2 period) were calculated for the SCIEX 7500 system (blue) and SCIEX 7500+ system (green). Robustness was compared based on the total number of injections before the instrument sensitivity declined to 50% of the maxima. On the SCIEX 7500 system, the peak area remained stable to SST #6 (~3,700 matrix injections) until between SST #8 and SST #9 (~5,000 matrix injections) where there was a decline in 50% of the response. In comparison, the SCIEX 7500+ system surpassed and maintained stability by >2x, where diazepam peak area was stable over 10,000 matrix injections.
Quantitation of pharmaceutical drugs is often performed in complex matrices. Because of challenging matrix contaminants, highly robust analytical techniques are needed to ensure accurate and precise measurements.
Systems such as triple quadrupole mass spectrometers are commonly used for quantitative bioanalysis. SCIEX triple quadrupole systems are renowned for extended uptime for bioanalysis. However, even longer durations of stable analytical performance are often advantageous in high throughput bioanalysis environments. Therefore, longer stable sensitivity and reduced downtime based on cleaning are significant benefits in such laboratories.
Mass Guard technology1 was introduced on the SCIEX 7500+ system to minimize downstream contamination of the ion optics, maintaining instrument robustness over greater periods than the benchmark triple quadrupole mass spectrometers. Adding the T Bar assembly to the Q0 region actively filters out contaminating ions to create a cleaner ion beam (Figure 2). Visual examination of the downstream ion optics reveals less contamination markings on the IQ1 lens of the SCIEX 7500+ system compared to the SCIEX 7500 system. Therefore, there is a significant reduction in the impact of matrix contaminants on the SCIEX 7500+ system, leading to enhanced robustness over long-term analysis for this example assay.
In addition, the SCIEX 7500+ system features improved customer access to the Djet+ assembly for front-end cleaning as needed.1 Here, the long-term robustness of the SCIEX 7500+ system and SCIEX 7500 system was evaluated under contaminationaccelerated conditions using 2:1 (v/v) methanol/rat plasma protein precipitation.2
Figure 2: Hardware components of Mass Guard technology. The added T Bar assembly in the Q0 region of the SCIEX 7500+ system actively removes potentially contaminating ions (purple symbols), resulting in a much cleaner sample plume (red and green symbols) entering the instrument. Visual comparison of the ion optics downstream of the T Bar assembly showed significantly less impact from matrix contamination, when compared against the same component on the SCIEX 7500 system.
The following experimental regime was utilized to maximize the matrix load injected over consecutive weeks for evaluation of robustness on the SCIEX 7500+ system and SCIEX 7500 system:
Sample preparation: The rat plasma matrix was prepared by extracting 500 µL of rat plasma with 1000 µL of methanol. The mixture was vortexed for a minute and centrifuged at 12000 rcf for 10 minutes. 1200 µL of supernatant was collected and diluted with 1200 µL of water. A mixture of alprazolam, diazepam and sulfamethoxazole and their respective deuterated internal standards (pharma mix) were spiked in rat plasma extract to achieve a final concentration of 0.5 ng/mL for analysis.
The solvent for SST samples was prepared as follows: a mixture of 1:2 (v/v), water/methanol was diluted with an equivalent volume of water. The solvent was spiked with pharma mix at a final concentration of 0.5 ng/mL for analysis.
Chromatography: The LC system used for SST injections was operated at a 0.8 mL/min flow rate (Table 1). SST samples were run on a Gemini C18 column (3 µm, 110 Å, 3 x 50 mm) with KrudKatcher ULTRA HPLC in-line Filter (2.0 µm depth filter x 0.004 in ID). A separate LC system was used to inject the rat plasma matrix, operated at a 1 mL/min flow rate (Table 2). Matrix samples were introduced using the Gemini C18 column (3 µm, 110 Å, 3 x 50 mm) and SecurityGuard ULTRA guard holder with cartridge (C18, 2.1 mm). Both gradients were run using 0.1% formic acid in water as mobile phase A and 0.1% formic acid in acetonitrile as mobile phase B. The column temperature was maintained at 40°C and an injection volume of 5 μL was used for analysis of matrix and SST samples.
A 1:1:1 (v/v/v) mixture of acetonitrile/methanol/water was used as a needle wash solvent. Analysis was performed on a SCIEX 7500 system and a SCIEX 7500+ system in positive mode. Collision energy, source and MS parameters were optimized for MRM-based quantitation (Table 3 and Table 4).
Table 1: LC gradient for SST samples.
Table 2: LC gradient for rat plasma matrix samples.
Mass spectrometry: Table 3 lists the optimized source and gas parameters and Table 4 includes the MRM parameters.
Table 3: Source and gas parameters for the SCIEX 7500 system and the SCIEX 7500+ system.
Table 4: MRM parameters used for quantitation on the SCIEX 7500 system and SCIEX 7500+ system.
Data processing: Data collection and analysis were performed in SCIEX OS software, version 3.3.1. Peaks were integrated using the MQ4 algorithm.
Instrument robustness was evaluated by intermittently monitoring SST samples spiked with native and internal standards between large blocks of consecutive rat plasma matrix injections. More than 2x improvement in robustness for sulfamethoxazole and diazepam was demonstrated on the SCIEX 7500+ system with over 10,000 rat plasma matrix injections (Figure 1 and Figure 3). Moving averages (2 period) for both data sets highlight the trend across each consecutive SST. The SSTs measured for all 3 small molecule compounds reflected similar sensitivity on the SCIEX 7500+ system and SCIEX 7500 system across approximately 4,000 rat plasma matrix injections. This demonstrated sensitivity effective equivalency between the SCIEX 7500+ system and SCIEX 7500 system.3
Figure 3: Comparison of raw peak areas for alprazolam (A), sulfamethoxazole (B) and diazepam (C) SSTs on the SCIEX 7500 system (blue) and on the SCIEX 7500+ system (green). Each data point represents the mean peak area with standard error bars (n = 8). Between each SST data point, >560 rat plasma extracts were consecutively injected with a total of 9,793 and 10,614 matrix injections on the SCIEX 7500 system and SCIEX 7500+ system, respectively. Trendlines based on moving averages (2 period) were calculated for the SCIEX 7500 system (blue) and SCIEX 7500+ system (green). Robustness was compared based on the total number of injections before the instrument sensitivity declined to 50% of the maxima. On the SCIEX 7500 system, there was a decline in 50% of the response for sulfamethoxazole (~5,000 matrix injections) and diazepam (~5,000 matrix injections) and a 30% drop in response for alprazolam (~5,000 matrix injections) between SST#8 and SST#9. In comparison, the SCIEX 7500+ system surpassed and maintained stability by >2x for sulfamethoxazole and diazepam which had stable peak area over 10,000 matrix injections.
The peak area ratio was also calculated using the respective IS for each analyte. Figure 4 shows consistent IS-corrected peak area ratios for SSTs (Figure 4A) and rat plasma matrix samples (Figure 4B) on the SCIEX 7500+ system. Overall, %CV was <4% for the SST samples and <6% for the rat plasma matrix samples. The performance of the SCIEX 7500+ system remained stable throughout the experiment despite the introduction of >10,000 rat plasma matrix injections, given the consistent reproducibility of the peak area ratios.
Figure 4: Peak area ratio (raw peak area normalized to IS) from analysis of alprazolam (orange), diazepam (blue) and sulfamethoxazole (grey) SST (A) and rat plasma matrix (B) injections on the SCIEX 7500+ system. The %CV from the SST samples was 3.17%, 3.42% and 3.56% for diazepam, alprazolam and sulfamethoxazole, respectively. The %CV from the rat plasma matrix samples was 5.17%, 4.27% and 4.22% for diazepam, alprazolam and sulfamethoxazole, respectively. Consistent peak area ratios were observed, demonstrating instrument stability and performance across 10,614 rat plasma matrix injections. A total of 8.8 mL of rat plasma was extracted and analyzed on the SCIEX 7500+ system, across 10,614 injections.
The SCIEX OS software provides a built-in automated workflow that enables the user to monitor the detector performance and system charging events with minimal manual intervention (Figure 5). The contamination check procedure enables system tests to be run in both the positive and negative polarities using the MS single tuning solution.
System tests for the contamination check procedure include verification of the detector voltage, MRM performance and Q1 and MRM charging tests. System reports are then generated and can be easily compared against previous contamination check results using the SCIEX OS software.
Figure 5: Built-in contamination check procedures in SCIEX OS software for easy troubleshooting. The MS Tune module in SCIEX OS software provides an automated contamination check procedure that allows the user to troubleshoot and monitor instrument performance during sensitivity loss. At the end of the procedure, the software generates a summary report of the instrument performance based on the tests ran.