A Comparison of the Relative Cost and Productivity of Traditional Metals Analysis Techniques Versus ICP-MS in High Throughput Commercial Laboratories

Importance of the Topic

A robust, sensitive and cost-effective multi-element analysis method is critical for environmental monitoring, semiconductor manufacturing, geological research and health sciences. As detection limits move into the sub-ppb range and sample loads increase, traditional techniques such as graphite furnace atomic absorption (GFAA) and ICP optical emission spectroscopy (ICP-OES) face limitations in throughput, dynamic range and operating cost. Inductively coupled plasma mass spectrometry (ICP-MS) offers the potential to consolidate multiple techniques into a single platform, improving laboratory efficiency and reducing per-sample expense.

Objectives and Study Overview

This application study develops a spreadsheet-based financial model to compare the relative cost and productivity of GFAA plus ICP-OES versus ICP-MS in high-throughput commercial laboratories. By evaluating typical instrument configurations and sample volumes, the study aims to quantify per-sample savings, required instrumentation and operator time, and estimate the return on investment (ROI) for adopting ICP-MS.

Methodology and Instrumentation Used

An Excel cost comparison model was constructed with the following key assumptions:

• Instrument capital costs: GFAA $30 000, ICP-OES $100 000, ICP-MS $180 000 (amortized over 3 years at 6 % finance rate).
• Consumables and maintenance: argon gas, graphite tubes, detector replacement.
• Labor: 16 h instrument operation per day per operator, shared across techniques.
• Analysis times: GFAA 90 s per element with duplicates; ICP-OES and ICP-MS multi-element analyses unaffected by element count.

Comparisons covered four scenarios: laboratories with existing GFAA and ICP-OES, labs purchasing new instrumentation, and varying numbers of GFAA elements.

Key Findings and Discussion

Across all scenarios and sample loads (400, 1000, 5000 samples/month), ICP-MS delivered lower cost per sample than GFAA + ICP-OES.

• Scenario 1 (one GFAA + one ICP-OES existing): savings up to $112 968/month at 5000 samples.
• Scenario 2 (two GFAAs + one ICP-OES existing): similar savings, slightly reduced due to existing instrument base.
• Scenario 3 (no existing instruments): savings reached $116 923/month at 5000 samples.
• Scenario 4 (varying GFAA elements): even with only two GFAA elements, ICP-MS saved ~$9 600/month at 1000 samples.

ROI analysis showed payback periods of approximately 4 months (2000 samples/month), 8 months (1000 samples/month) and 20 months (400 samples/month), after which net revenue increases significantly.

Benefits and Practical Applications

Switching to ICP-MS yields multiple advantages:

• Single-platform multi-element analysis reduces sample preparation and instrument handling.
• Lower consumable and labor costs drive substantial per-sample savings.
• Enhanced sensitivity and dynamic range at sub-ppb levels across all target elements.
• Streamlined data processing and archival with one integrated system.

Future Trends and Opportunities

Ongoing advancements in collision/reaction cell technology, enhanced software automation and lower capital costs will further strengthen ICP-MS as the preferred routine technique. Emerging applications in high-throughput quality assurance, real-time process monitoring and field-deployable systems are expected to expand its use in regulatory, industrial and research laboratories.

Conclusion

For laboratories analyzing at least 100 samples/week with multiple target metals, ICP-MS not only accelerates throughput but also provides rapid ROI and sustained cost savings compared to GFAA + ICP-OES workflows. The comprehensive sensitivity, efficiency and operational simplicity make ICP-MS the clear choice for modern trace metal analysis.