Aaron Stella, Jacob W. McCabe and Anuja Bhalkikar
SCIEX, USA
This technical note demonstrates a high-throughput, high-resolution method for differentiating amino acids that differ by only 1 Dalton. Distinguishing 2 compounds that differ by 1 Dalton can be challenging on a low-resolution instrument, as mass interference is likely to occur and the quantitative values obtained from these instruments will not be trustworthy. Arginine and citrulline are amino acids that differ in molecular weight by 1 Dalton. Differentiating between these amino acids is critical for identifying them as biomarkers or enzyme activators. Chromatographic methods used to separate these compounds can be complex and time consuming. In this work, the Echo® MS+ system with ZenoTOF 7600 system was used to resolve arginine from citrulline in a high-throughput manner at a rate of 5 seconds per sample. A Zeno MRMHR scan was employed to generate high-resolution product ions for arginine and citrulline simultaneously (Figure 1). Data review was conducted using the SCIEX OS software with library searching for added confidence in identifying arginine and citrulline mixed in solution.
Arginine and citrulline are amino acids which only differ in molecular weight by 1 Dalton. Many analytical methods require these compounds to be derivatized for their analysis due to the lack of a natural chromophore in their structure.1 Derivatization adds time to sample preparation and subsequent liquid chromatography methods can take minutes to complete.2 These amino acids can be used as biomarkers and enzyme activators but their proximity in molecular weight makes them difficult to be accurately quantified even if derivatization is performed. Here, we present a rapid, high-resolution solution to identify and quantify arginine and citrulline.
Sample preparation: Arginine, citrulline and a combination of equimolar arginine and citrulline were serially diluted in water to a concentration range of 1.95µM to 1000µM. All samples contained 250µM of phenylalanine as an internal standard (IS).
Acoustic ejection: A total of 70 nL of sample was ejected in 5 second intervals at 10 Hz in wide peak mode. Methanol with 0.1% formic acid was the carrier solvent and a flow rate of 400 µL/min was used.
Mass spectrometry: A Zeno MRMHR method was used to quantify arginine and citrulline using both a common product ion and a unique product ion. The data from the common and unique product ions were then compared and the amount of mass interference was calculated. A single unique product ion for the IS was analyzed (Tables 1-4).
Data processing: The Analytics and Explorer modules of SCIEX OS software were used for data processing. The NIST library was used to ensure that the analyte identification was correct for arginine and citrulline. The amount of mass interference was expressed in percent and was calculated using the following equation:
where A = the calculated concentration of the interfering analyte and B = the actual concentration of the targeted analyte. Both concentrations were expressed in µM.
The Zeno MRMHR scan provides a TOF MS scan in addition to performing an MRM scan for precursor masses. The user enters a precursor ion for each analyte or IS to be measured and then the user can choose the TOF MS/MS mass range to be scanned. The collision energy can be set to a fixed number or spread around a central collision energy value.
When combined with wide peak mode ejections, the resulting scans include data-rich product ions that were individually selected for analyte and IS processing with a library search using the Analytics module in SCIEX OS software (Figure 1). Wide peak mode with a 5 second sample ejection interval was chosen to ensure that 12 scans were obtained for each sample (Figure 2).
The calibration curves were then used to quantify arginine and citrulline and were applied to calculate the amount of mass interference. All calibration point accuracies were within ±20% of their assigned values and all calibration curve r values were >0.994.
When quantifying with unique product ions for arginine and citrulline, no mass interference was detected for either analyte. A small percentage of mass interference was detected when a common product ion was used for quantitation. Only in high concentration arginine samples was arginine mis-identified as citrulline. Less than 2% mass interference was detected in the citrulline common product ion channel when testing a 1000µM and a 500µM arginine sample (Table 6).
No mass interference was detected in samples with concentrations ≤250µM of either analyte, independent of the type of product ion used for quantitation. With regards to the small amount of mass interference observed in the arginine sample when quantifying with the common product ion for citrulline, the library hit yielded “no match,” resulting in a library score of 0 (Figure 4).
The peak area ratios obtained from the citrulline common product ion MRM channel were plotted against the peak area ratios obtained from the citrulline unique product ion MRM channel in samples with arginine concentrations of 1000µM, 500µM and 250µM (Figure 5). The mass interference observed with the common product ion was neutralized when the same 3 samples were analyzed using the citrulline unique product ion.
Quantitation of arginine and citrulline was accurate and specific based on the calibration curve data. To further ensure accurate identification of arginine and citrulline, we utilized the NIST library. At concentrations as low as 1.95µM, the NIST library accurately identified the correct compounds in the samples (Figure 6). For the sample containing arginine, only arginine and the phenylalanine IS were detected and for the sample containing citrulline, only citrulline and the phenylalanine IS were detected. For the combined arginine and citrulline sample, arginine, citrulline and the phenylalanine IS were all detected. All library scores suggested a good level of confidence, as the lowest library score was 79.9.
Mass interference when quantifying with the common product ion for citrulline was only observed at concentrations >250µM. For quantitation at concentrations <250µM, either the unique or common MRM channel could produce specific results. Ultimately, choosing a unique product ion is preferred, as the likelihood of registering mass interference is much lower, given the product ion is exclusive to the analyte of interest. However, these results show that when unique product ions are not available, the common product ions from the high-resolution, Echo® MS+ system with ZenoTOF 7600 system could be used for sensitive and specific quantitation if excessively high concentrations of potential mass interfering substances are avoided.