Low Level Detection of Trichloroanisole in Red Wine

Importance of the Topic

Trichloroanisole (TCA) is the primary cause of cork taint in wine and has an odor threshold at the part-per-trillion level. Accurate detection of TCA is crucial for maintaining sensory quality and consumer acceptance in the wine industry.

Study Objectives and Overview

This application note evaluates a Solid Phase Micro Extraction (SPME) method using an automated Flex Series autosampler coupled to a Shimadzu QP2010 SE GC–MS. The goal is to demonstrate reliable detection of TCA down to 5 ppt in wine headspace.

Used Instrumentation

• Flex Series autosampler with drag-and-drop sampling software
• 100 µm PDMS SPME fiber for headspace extraction
• Shimadzu QP2010 SE Gas Chromatograph–Mass Spectrometer
• Restek Rxi-5Sil MS column (30 m × 0.25 mm × 0.25 µm)

Methodology

Sample vials were spiked with sodium chloride to increase headspace concentration. The Flex autosampler incubated samples at 28 °C for 1 min, followed by a 30 min extraction with oscillation agitation. Desorption occurred directly in a splitless inlet at 270 °C. The GC oven ramped from 60 °C to 200 °C at 8 °C/min over a total runtime of 20 min. Helium served as the carrier gas at 1 mL/min. Mass spectrometry operated in SIM mode monitoring m/z 195, 197, 210 and 212.

Key Results and Discussion

A calibration curve constructed from 226 ppt to 5.65 ppt showed excellent linearity and reproducibility. The method consistently detected TCA at the 5 ppt level in both standards and wine samples spiked at 5.6 ppt. Chromatograms of unspiked wine confirmed the absence of interferences at the target ions.

Benefits and Practical Applications

• Ultra-trace detection of TCA ensures quality control in winemaking
• Automated sampling with oscillating agitation extends fiber lifetime
• Drag-and-drop software simplifies method development
• Headspace SPME is non-destructive and solvent-free

Future Trends and Applications

Advances may include novel fiber chemistries for broader flavor compound profiling, integration of real-time monitoring in production lines, and application of similar SPME-GC–MS workflows to other food and beverage matrices. Enhanced data analytics and AI-driven quality screening could further streamline trace contaminant detection.

Conclusion

The automated SPME-GC–MS method using the Flex autosampler achieves sensitive and reliable detection of TCA in wine at part-per-trillion levels. Its simplicity, robustness and low maintenance make it a valuable tool for enological quality assurance.

Reference

Growing Preference Among U.S. Wine Consumers for Natural Cork Stoppers, 100% Cork, June 24, 2014