ICPMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Sprint analysis of lubricating oils using the Thermo Scientific iCAP 7000 Plus Series ICP-OES

Applications | 2017 | Thermo Fisher ScientificInstrumentation
ICP-OES
Industries
Energy & Chemicals
Manufacturer
Thermo Fisher Scientific

Summary

Significance of the Topic


The analysis of lubricating oils by ICP-OES plays a critical role in preventive maintenance of engines and machinery. By tracking wear metals, contaminants and additive depletion, operators can identify mechanical issues before failures occur, reduce downtime and optimize maintenance schedules.

Objectives and Study Overview


This application note describes the use of the Thermo Scientific iCAP 7600 Plus Series ICP-OES with an integrated Sprint Valve to achieve high-throughput lubricating oil analysis. The study compares the new Sprint method against the conventional peristaltic pump (Speed method), focusing on analysis time, accuracy, precision and stability.

Methodology


Oil samples were diluted 1:10 (w/v) in white spirit with 20 mg·kg⁻¹ Y as an internal standard to ensure consistent viscosity. Calibration standards covering wear metals (Ag, Al, B, Cd, Cr, Cu, Fe, Mn, Mo, Na, Ni, Pb, Si, Sn, Ti, V) and additives (Ba, Ca, Mg, P, Zn, S) were prepared across relevant concentration ranges. Wavelengths were selected using the Qtegra ISDS software to avoid spectral interferences and to meet detection limit and linearity requirements.

Applied Instrumentation


  • Thermo Scientific iCAP 7600 ICP-OES Radial with radial plasma view
  • Integrated Sprint Valve sample introduction system
  • V-groove nebulizer, baffled cyclonic spray chamber, 1 mm center tube organic kit
  • Teledyne CETAC ASX-1400 stirring autosampler for sample homogeneity

Main Results and Discussion


The Sprint method achieved an analysis time of 27 s per sample versus ~90 s for the Speed method. Detection limits remained below industry requirements (single ppm range). Recoveries for a 50 mg·kg⁻¹ check standard were within 5 % (B within 10 %), and stability over four hours showed <10 % drift for all elements and RSDs below 2 %. Comparison of two real oils demonstrated strong agreement between Sprint and Speed methods (RSD <5 % for major elements).

Benefits and Practical Applications


  • Rapid throughput with <30 s per sample analysis time
  • High accuracy, precision and long-term stability
  • Reduced need for frequent QC checks and recalibrations
  • Lower per-sample cost and increased laboratory productivity

Future Trends and Applications


Advancements may include real-time monitoring of lubrication systems, integration with predictive maintenance platforms and expansion to other complex matrices. Automation and AI-driven data analysis will further enhance diagnostic capabilities and decision support in industrial settings.

Conclusion


The Thermo Scientific iCAP 7600 Plus Series ICP-OES with Sprint Valve delivers high-throughput, robust and cost-effective lubricating oil analysis without compromising analytical performance, supporting efficient preventive maintenance programs.

References


Thermo Fisher Scientific. Application Note 43161: Sprint analysis of lubricating oils using the Thermo Scientific iCAP 7000 Plus Series ICP-OES. 2017.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Sprint analysis of lubricating oils using the Thermo Scientific iCAP 7600 ICP-OES
Marine Beauvir, Application Specialist, Thermo Fisher Scientific, Cambridge, UK Appli cat i on N ote 4 3 1 6 1 Sprint analysis of lubricating oils using the Thermo Scientific iCAP 7600 ICP-OES Key Words High throughput, Lubricating oil, Sprint valve,…
Key words
sprint, sprintoil, oilanalysis, analysisoes, oespump, pumplubricating, lubricatingestimated, estimatedicp, icprinse, rinseradial, radialspeed, speedoils, oilstime, timemethod, methodtherefore
Lubricating oil analysis according to ASTM D5185 using the Thermo Scientific iCAP PRO XP ICP-OES
APPLICATION NOTE 44426 Lubricating oil analysis according to ASTM D5185 using the Thermo Scientific iCAP PRO XP ICP-OES Author Goal Sanja Asendorf, Application Specialist, Thermo Fisher Scientific, Bremen, Germany, James Hannan, Applications Expert, Thermo Fisher Scientific, Hemel Hempstead, UK This…
Key words
icap, icapsolventflex, solventflexradial, radialpro, prooes, oespremisolv, premisolvicp, icpsample, sampleoils, oilsanalysis, analysiswear, wearunscheduled, unscheduledlubrication, lubricationused, useduptake
Lubricating oil analysis according to ASTM D5185 using the Thermo Scientific iCAP 7400 ICP-OES
APPLICATION NOTE 43158 Lubricating oil analysis according to ASTM D5185 using the Thermo Scientific iCAP 7400 ICP-OES Authors Introduction Nora Bartsch, Application Specialist, Thermo Fisher Scientific, Bremen, Germany Analysis of used lubricating oil for wear metals, contaminants and additive elements…
Key words
oil, oilstandard, standardpump, pumpwere, wereflex, flexsample, sampletolerance, toleranceoils, oilslubricating, lubricatingwhite, whiteweight, weightselected, selecteddiluted, dilutedpreventative, preventativewear
WCPS: How the Latest Advancements in ICP- OES Instrumentation and Software Address the Requirements of Demanding Methods
Sanja Asendorf, Matthew Cassap, Elena Chernetsova Thermo Fisher Scientific, Bremen, Germany Overview Purpose: To demonstrate the capability of the Thermo ScientificTM iCAPTM 7000 Plus Series ICP-OES with ThermoTM Scientific QtegraTM Intelligent Scientific Data SolutionTM (ISDS) software for the analysis of…
Key words
thermotm, thermotmqtegratm, qtegratmsolutiontm, solutiontmoes, oessprint, sprintrequirement, requirementintelligent, intelligenticpoes, icpoeslubrication, lubricationicp, icpanalysis, analysisisds, isdsadvancements, advancementsamerican, americansociety
Other projects
GCMS
LCMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike