Two-dimensional gas chromatograph GC-MS

gasfor chemical applicationsfor the food industry

Overview
The Shimadzu Comprehensive GC-MS (GC×GC-MS) system is designed for advanced two-dimensional gas chromatography coupled with mass spectrometry. It enables detailed analysis of complex matrices — for example natural products, petrochemical samples and other mixtures that are difficult to resolve by conventional one-dimensional GC or GC‑MS — and supports grouping and pattern-based interpretation using GC×GC image representations.

Features

• Separation of overlapping peaks — Two-dimensional separation (polarity and boiling point differences) improves resolution of coeluting components that cannot be adequately separated by one-dimensional chromatography.
• Image patterns for structural grouping — GC×GC generates two-dimensional image patterns that can be correlated to compound classes and structural features, facilitating grouping analysis of complex mixtures.
• High-speed scan control: Advanced Scanning Speed Protocol (ASSP™) — Automatic optimization of rod bias voltage during high-speed acquisition minimizes sensitivity loss at elevated scan rates.

Videos

• Nexera-e (Comprehensive Two-Dimensional Liquid Chromatograph)
• Comprehensive 2DLC: Concepts, Potential, Applications
• Shimadzu new products for pharmaceutical industry at Pittcon 2014

Downloads / Brochure

• Shimadzu Analytical and Measuring Instruments (brochure, PDF)

Applications (documents)
Documents | Creation Date
Comprehensive characterization of diesel on GC×GC utilizing GCMS-QP2050 — 2024-08-06
Determination of Mineral Oil Hydrocarbons in Food and Food Packaging using LC-GCxGCMS Technique — 2023-12-03
Fast Analysis of Acrylonitrile in ABS Polymer Using a Backflush GC System — 2010-01-29

Technical specifications

• Comprehensive two-dimensional gas chromatography coupled with mass spectrometry (GC×GC-MS) capability for analysis of complex matrices
• Enhanced separation of overlapping peaks through orthogonal separation mechanisms (polarity vs boiling point)
• Generation of GC×GC image patterns for compound grouping and structural correlation
• Support for high-speed MS acquisition via Advanced Scanning Speed Protocol (ASSP™) with automatic rod bias optimization
• Intended applications: natural products, petrochemicals, food contact materials, polymers and other complex mixtures; resources include brochures and application notes (PDF)