Fast profiling of food by analytical pyrolysis

Area of Science:

• Analytical Chemistry
• Food Science
• Mass Spectrometry

Background:

• Direct pyrolysis (Py) field ionization (FI)-mass spectrometry (MS) and Curie-point pyrolysis gas chromatography-mass spectrometry (Py-GC/FIMS) are advanced analytical techniques.
• These methods are increasingly applied to complex sample matrices like foodstuffs.
• Characterizing food composition requires sophisticated analytical approaches.

Purpose of the Study:

• To describe the novel analytical application of direct pyrolysis (Py) field ionization (FI)-mass spectrometry (MS) and Curie-point pyrolysis gas chromatography-mass spectrometry (Py-GC/FIMS) to whole foodstuffs.
• To demonstrate the capability of these techniques for rapid and detailed molecular profiling.
• To showcase the suitability of the generated data for chemometric analysis.

Main Methods:

• Direct pyrolysis (Py) field ionization (FI)-mass spectrometry (MS) for rapid volatile and pyrolysis product analysis.
• Curie-point pyrolysis coupled with gas chromatography and mass spectrometry (Py-GC/FIMS) for component separation and identification.
• High-resolution mass measurement and electron ionization for spectral characterization and assignment.
• Comparison of FI mass spectra with complementary soft ionization techniques (CI, DCI).

Main Results:

• Direct Py-FI-MS provides highly differentiated molecular weight distribution of volatiles and pyrolysis products in a single spectrum within 15 minutes.
• The generated data exhibit good reproducibility and high significance, suitable for chemometric methods.
• Typical results were presented for ground roasted coffee, rosehip tea, wheatmeal biscuit, chocolate drink powder, and milk chocolate.
• FI mass spectrum of milk chocolate was compared with CI and DCI techniques.

Conclusions:

• Direct Py-FI-MS and Py-GC/FIMS are effective for the comprehensive analysis of whole foodstuffs.
• These techniques offer rapid, reproducible, and detailed molecular information.
• The data generated are well-suited for the application of chemometric methods in food analysis and quality control.