Doubling the sample throughput with AI/AS 1610 Gemini configuration

Importance of the Topic

Liquid phase autosampling is critical for modern GC and GC-MS labs facing high sample volumes. Enhancing throughput while maintaining method flexibility and reliability supports timely decision-making and efficient resource use.

Objectives and Study Overview

This work evaluates the Thermo Scientific AI/AS 1610 autosampler in Gemini dual tower configuration to double sample throughput. It also demonstrates simplified modes of operation via Chromeleon chromatography data system version 7.3, comparing performance in high throughput and confirmation modes.

Methodology and Instrumentation

Aliquots were injected using two AI 1610 autoinjectors or two AS 1610 autosamplers mounted on front and back injectors of the TRACE 1610 GC system. Chromeleon CDS controlled sequencing, method setup and data acquisition. Key instrumentation included:

• TRACE 1610 gas chromatograph
• AI 1610 autoinjector with sliding support and illuminated syringe compartment
• AS 1610 autosampler with up to 310 vial capacity
• Chromeleon CDS version 7.3 for instrument control and data analysis

Main Results and Discussion

The Gemini configuration enabled two operational modes:

• High throughput mode running parallel sequences with independent methods and synchronized injections to achieve up to 310 samples per run
• Confirmation mode collecting dual channel data in a single data set for direct comparison of detectors or columns

Switching between dual and single tower operation required minimal configuration changes. Chromeleon enhancements such as the Overview tab, favorites selection and detach view streamlined monitoring of multiple channels and instruments.

Benefits and Practical Applications of the Method

The dual tower setup doubles analytical capacity without additional GC systems. Simplified setup and unified control reduce downtime. Confirmation mode facilitates method validation, detector comparison and QA workflows. Applications include environmental monitoring, food and fragrance analysis, and high volume quality control.

Future Trends and Opportunities

Advances may integrate machine learning guided injection optimization and predictive maintenance. Expansion to multi-dimensional GC or coupling with mass spectrometry could further increase selectivity and throughput. Cloud based data analytics may enhance collaborative reviewing of dual channel datasets.

Conclusion

The AI/AS 1610 Gemini configuration within a TRACE 1610 GC and Chromeleon CDS platform offers a cost efficient solution for doubled throughput, flexible confirmation workflows and enhanced usability. It addresses critical needs in high volume analytical laboratories.

Reference

Technical Note 74104 Thermo Fisher Scientific 2021