Development of Green Technologies in GCMS-QP2010 Ultra

Technical notes | 2011 | ShimadzuInstrumentation
GC/MSD, GC/SQ
Industries
Manufacturer
Shimadzu

Summary

Importance of the Topic


Gas chromatography–mass spectrometry (GC-MS) is a cornerstone analytical technique across food safety, environmental monitoring, forensic science and life-science research. However, its widespread use carries high operating costs and notable environmental burdens due to helium consumption and continuous electrical power demands. Developing greener GC-MS workflows directly addresses rising helium prices, energy efficiency goals and global sustainability principles in analytical laboratories.

Objectives and Overview


This work reports on the development and evaluation of two complementary “green” technologies implemented in Shimadzu’s GCMS-QP2010 Ultra instrument:
  • Advanced Scanning Speed Protocol (ASSP™) to enable Fast-GC/MS with high-speed quadrupole scanning while preserving sensitivity and spectral fidelity.
  • Ecology Mode for automatic reduction of helium flow and power use during instrument standby periods.

Key performance metrics—including gas and power savings—were benchmarked against a previous conventional GC-MS model using the analysis of urinary organic acids as a case study.

Methodology and Instrumentation


The GCMS-QP2010 Ultra integrates Fast-GC/MS with a short, narrow-bore column (10 m × 0.1 mm), high inlet pressures (>600 kPa) and rapid oven ramping (30 °C/min). A new high-speed data processing platform supports up to 100 mass spectra per second (0.01 s cycle) and quadrupole scan speeds of 20,000 u/s. ASSP™ adjusts AC and DC voltages in real time, boosting ion transmission—especially for high m/z ions—by over fivefold under fast scanning.
Ecology Mode automatically snapshots existing GC, MS and PC settings, switches gas control to pressure mode, reduces helium flow to ≤20 mL/min, cools and powers down the oven heater and fan, disables the MS ion gauge, and places the PC into sleep mode. Original parameters are restored with one click when exiting standby.

Main Results and Discussion


Fast-GC/MS with ASSP™ reduced analysis time of organic acids in urine from 60 min to 12 min while maintaining resolution and sensitivity. Helium consumption dropped by 90% (1,200 mL to 120 mL per run) and power use by 66% (945 Wh to 324 Wh per run) relative to the conventional method.
Ecology Mode cut standby helium flow by 60% and power by 36.5% (760 W to 483 W). In a typical year (20 days active, 10 days standby per month), helium use fell by 12,963 L (1.85 cylinders), power by 2,001 kWh, and CO₂ emissions by 1,123 kg.

Benefits and Practical Applications


  • Substantial cost savings on carrier gas and electricity.
  • Lower environmental footprint in routine and production settings.
  • Maintained analytical performance for trace-level compound measurement.
  • Automated standby management frees analysts from manual adjustments.

Future Trends and Possibilities


Emerging Fast-GC/MS methods using hydrogen as an alternative carrier gas can further shorten run times and lower costs, given hydrogen’s regenerative potential. Integration of hydrogen-based protocols into high-speed platforms like the GCMS-QP2010 Ultra represents a promising avenue to enhance eco-efficiency in trace analysis.

Conclusion


The combination of ASSP™-enabled Fast-GC/MS and Ecology Mode in the GCMS-QP2010 Ultra delivers dramatic reductions in helium and power consumption—up to 90% and 66% during runs and 60% and 36.5% in standby—without compromising analytical quality. This dual approach to green technology sets a new standard for sustainable GC-MS operation and manufacturing.

Reference


  • 1. Japan Association for Trade with Russia & NIS: Japan-Russia technology newsletter, No. 3(6) (2008).
  • 2. P. T. Anastas and J. C. Warner: Green Chemistry: Theory and Practice, Oxford University Press (1998).
  • 3. P. Sandra et al.: Green Chromatography, LCGC Europe 23(5):242–259 (2010).
  • 4. S. Harada: U.S. Patent 6,610,979 (2003).
  • 5. K. Maštovská, S. J. Lehotay: J. Chromatogr. A 1000:153–180 (2003).
  • 6. L. Mondello et al.: J. Chromatogr. A 1035:237–247 (2004).
  • 7. M. Kirchner et al.: J. Chromatogr. A 1084:63–70 (2005).
  • 8. E. Matisová, M. Dömötörová: J. Chromatogr. A 1000:199–221 (2003).
  • 9. J. Dallüge et al.: J. Sep. Sci. 25:608–614 (2002).
  • 10. R. J. J. Vreuls et al.: J. Microcolumn Separations 11(9):663–675 (1999).
  • 11. R. Hirsch et al.: Chimia 55:19–22 (2001).
  • 12. Japan Ministry of the Environment: CO₂ emission coefficient by electricity business (2009).
  • 13. T. Veriotti, R. Sacks: Anal. Chem. 73:3045–3050 (2001).
  • 14. S. Rana et al.: J. Anal. Toxicol. 32(5):355–363 (2008).

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