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Improving the Analysis of Organotin Compounds Using Retention Time Locked Methods and Retention Time Databases

Applications | 2003 | Agilent TechnologiesInstrumentation
GC/MSD, GC/SQ
Industries
Environmental
Manufacturer
Agilent Technologies

Summary

Significance of the Topic


The speciation and quantification of organotin compounds such as monobutyltin, dibutyltin and tributyltin are critical due to their widespread industrial use and associated toxicity. These species persist in sediments, water, food and consumer products, requiring robust analytical approaches for environmental monitoring and health risk assessment.

Objectives and Overview of the Study


This work describes a gas chromatography–mass spectrometry method enhanced by retention time locking (RTL) and tailored mass spectral libraries. Three derivatization protocols (methylation with methylmagnesium bromide, pentylation with pentylmagnesium bromide and in situ ethylation with sodium tetraethylborate) were developed, and corresponding RTL databases were created to accelerate peak identification and improve method transferability.

Methodology and Instrumentation


Derivatization was optimized to convert polar organotins into volatile tetraalkyl derivatives:
  • Methyl derivatives: Reaction with methylmagnesium bromide in hexane and quenching with aqueous ammonium chloride.
  • Pentyl derivatives: Reaction with pentylmagnesium bromide in diethyl ether.
  • Ethyl derivatives: In situ ethylation in acetate buffer with NaBEt4, followed by hexane extraction.
All analyses were conducted on an Agilent 6890 GC–5973N MSD with a splitless inlet, HP-5MS column (30 m×0.25 mm×0.25 μm) and an Agilent 7683 autosampler. The oven ramped from 50 °C to 300 °C at 10 °C/min. Tetrabutyltin was used as the RTL standard at 16.000 min. SIM acquisition was scheduled in eight groups covering characteristic ions of all derivatives.

Main Results and Discussion


Standard mixtures yielded well-resolved chromatograms where elution order correlated with total carbon content of each derivative. Tin isotope clusters in mass spectra enabled definitive identification. Analysis of coastal sediment extracts using the pentylation protocol demonstrated selective detection of monobutyltin through tributyltin in complex matrices. The Agilent Results Screener software combined spectral matching with RTL retention time windows (±0.002 min) and qualifier-to-target ion ratios to automate peak allocation and confirmation.

Benefits and Practical Applications of the Method


Retention time locking ensures reproducible chromatographic performance across instruments without frequent method revalidation. Scheduled SIM acquisition simplifies high-throughput screening by fixing monitoring windows. The custom RTL libraries accelerate data processing and support reliable organotin analysis in environmental surveys, food safety testing and consumer product evaluation.

Future Trends and Opportunities


Expanding RTL libraries to other organometallic classes can enhance speciation capabilities. Coupling GC with selective detectors such as ICP-MS or AED may push detection limits into the part-per-trillion range. Integration with automated sample-preparation techniques like SBSE and SPME or on-line derivatization could further improve throughput and reduce solvent consumption.

Conclusion


The presented RTL-enabled GC/MS approach, combined with three derivatization pathways and comprehensive mass spectral libraries, offers a robust and transferable platform for organotin speciation in diverse matrices. This method streamlines interlaboratory transfer, accelerates data processing and enhances analytical confidence in environmental and consumer product monitoring.

References


1. J. Graig, Organometallics in the Environment: Principles and Reactions, 1986.
2. H. Harino et al., Archives of Toxicology, 35, 558 (1998).
3. A.M. Caricchia et al., Analytica Chimica Acta, 286, 329 (1994).
4. K. Fent, J. Hunn, Journal of Environmental Science & Technology, 25, 956 (1991).
5. J.L. Gomez-Ariza et al., Analyst, 117, 641 (1992).
6. H. Harino et al., Analytica Chimica Acta, 264, 91 (1992).
7. M.D. Müller, Analytical Chemistry, 59, 617 (1987).
8. M. Nagase, K. Hasabe, Analytical Sciences, 9, 517 (1993).
9. H.H. Van de Broek et al., Analyst, 113, 1237 (1988).
10. N. Følsvik, E.M. Brevik, Journal of High-Resolution Chromatography, 22, 177 (1999).
11. M. Ceulemans et al., Applied Organometallic Chemistry, 8, 451 (1994).
12. Y. Morcillo, C. Porte, Trends in Analytical Chemistry, 17, 109 (1998).
13. J.S. Lobinska et al., Analytica Chimica Acta, 278, 99 (1993).
14. L. Moens et al., Analytical Chemistry, 69, 1604 (1997).
15. J. Vercauteren et al., Journal of Analytical Atomic Spectrometry, 15, 651 (2000).
16. E. Baltussen et al., Journal of Microcolumn Separations, 11, 737 (1999).
17. J. Vercauteren et al., Analytical Chemistry, 73, 1509 (2001).
18. V. Giarrocco et al., Retention Time Locking: Concepts and Applications, Agilent Technologies, publication 5966-2469E.
19. K.R. Weiner, H.F. Prest, Retention Time Locking: Creating Custom Retention Time Locked Screener Libraries, Agilent Technologies, publication 5968-8657E.

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