Benefits of MRM3 for the analysis of contaminants in food and water

With the SCIEX QTRAP 6500+ system

Carlos Bueno1, Jack Steed2, Jianru Stahl-Zeng3
1
SCIEX, Spain; 2SCIEX UK; 3SCIEX, Germany

 

Abstract

Regulations for testing of pesticides, mycotoxins and other contaminates in food and water require both quantifier and qualifier ions be used for quantification in final methods. However, interferences or high background can be an issue when measuring the quantifier and/or qualifier ions in complex matrices. SCIEX QTRAP systems offer a unique scan mode called MRM3 that can greatly improve specificity of analysis by lowering background interferences. Here, improvements in S/N using MRM3 have been shown in tea matrix.

RUO-MKT-02-13376-A_f0

Introduction

Pesticides, mycotoxins and other contaminates in food and water have long been a threat to human health and therefore, need to be detected and quantified to ensure that their levels are controlled to below maximum residue levels. Testing of these compounds has been widely and successfully adopted by utilizing analytical techniques such as LC-MS. Regulations on monitoring require both quantifier and qualifier ions be used for quantification in final methods. However, due to the complexity of these matrices, interferences or high background can be an issue when measuring the quantifier and/or qualifier ions. Therefore, a solution is needed to provide additional specificity to the analysis on selected compounds where needed, without impacting the currently used techniques and methods.

One acquisition type that can greatly improve specificity of analysis is the MRM3 analysis, unique to SCIEX QTRAP systems. This acquisition works similarly to an MRM acquisition but instead of performing a single fragmentation (precursor to fragment), two fragmentation steps are performed (precursor to initial fragment to secondary fragment). Specificity is increased due to a more unique and compound specific pathway, greatly reducing background interferences and increasing signal/noise (S/N) as seen in Figure 1. See Figure 2 for a diagram of how MRM3 acquisition operates.1

Figure 1.  MRM3 analysis of cymoxanil in a tea matrix. Cymoxanil analyzed by MRM (top) and MRM3 (bottom) at the same concentration (0.01 mg/kg) illustrates how MRM3 can reduce background and increase S/N. MRM details: quantifier, 199®128 (top, blue); qualifier, 128®111 (top, pink - generated using in-source fragmentation). MRM3 details: 199®128®111 (bottom). Much better S/N is observed for the MRM3 data. 

Key features of MRM3 for food contaminate analysis

  • Large reduction of background interferences is achieved by using a more specific acquisition mode
  • Increased signal/noise (S/N) can provide an overall increase in sensitivity
  • Easy integration into already existing methods so that MRM and MRM3 acquisition can be performed in a single injection
  • Additional analysis tool for targeted quantification across different complex matrices

 

S/N and specificity increases

As described in Figure 2, a form of MS/MS/MS is used in order to analyze a very compound specific fragmentation pathway. By requiring this multiple level dissociation, both the background noise and specific interferences that are sometimes seen in the MRM data (a single level dissociation) are greatly reduced. In Figure 1, high noise is observed in the qualifier ion for cymoxanil in a tea matrix. But with MRM3 monitoring the same secondary ion has very reduced noise and therefore much higher S/N. Both come from the increased specificity afforded by using two fragmentations instead of one as is typically performed in an MRM acquisition. See Figures 1, 3 and 4 for examples of the S/N improvements observed.  

Figure 2.  MRM3 for quantitative analysis using QTRAP system functionality. After ions are generated from the source, they enter the first quadrupole (Q1) where a single analyte is isolated. This ion then passes through the collision cell (Q2) where it is fragmented through collisions with nitrogen gas. Fragment ions are trapped in the linear ion trap before a single product ion is isolated. This product ion is now excited to induce a secondary fragmentation. Finally, these second-generation product ions are scanned out to the detector. During post acquisition data processing, extracted ion chromatograms (XICs) are generated from the second-generation product ions which are then used for quantification.1

Figure 3. Pesticide analysis in a tea matrix. Bitertanol was analyzed by MRM (top) and MRM3 (bottom) at the same concentration (0.01 mg/kg) in tea matrix, showing that when MRM3 is utilized, a reduction in background and an increase in S/N can be observed. MRM details: quantifier, 338®269 (top, blue); qualifier, 338®70 (top, pink). MRM3 details: 338®269®99 (bottom). Note: two isomer peaks are seen for bitertanol, which have been chromatographically separated (this is not an interference peak).

Figure 4. MRM3 analysis of glyphosate in water. Glyphosate analyzed by MRM (top) and MRM3 (bottom) at the same concentration (100 ng/L) in water, showing that when MRM3 is utilized, a reduction in background and an increase in S/N can be observed. MRM details: quantifier, 163®63; qualifier, 163®150. MRM3 details: 163®150®63.

Confidence in detection

Regulations require that both quantifier and qualifiers are monitored to increase confidence that the right analyte is detected. Often the ion ratios between the peak areas of these two MRM transitions are also used to ensure correct detection.  This can make assay development challenging, requiring that low noise and minimal interferences are present in two MRMs.  Its usefulness is also clear when ensuring that two unique transitions are utilized (qualifier and quantifier), because in the case of background interferences or a lack of a suitable qualifier transition for some compounds, MRM3 can be utilized to guarantee accurate quantification and provide a secondary transition.

Conclusions

In tandem with existing MRM methods for analysis of contaminants, MRM3 acquisition can provide additional benefits for difficult to analyze components, by providing increased S/N values and lower amounts of background interferences. Here, improvements in S/N using MRM3 have been shown in tea, a complex food matrix. When using a QTRAP system, the MRM3 analysis can be included easily into existing methods, providing additional specificity and sensitivity.

References

  1. MRM3 quantitation for highest selectivity in complex matrices. SCIEX technical note, RUO-MKT-02-2739-B.