DOAJ Open Access 2023

A rapid dynamic headspace method for authentication of whiskies using artificial neural networks

J.R. Swift M.A. Turner J.C. Reynolds

Abstrak

A rapid headspace analysis method for the authenticity testing of whiskies of different brands and years was developed for a low cost, deployable atmospheric pressure ionisation mass spectrometer, which required minimal sample preparation. Principal component analysis was applied to the time-averaged mass spectra, the classification results for which were compared against artificial neural network methods. The artificial neural network was found to outperform PCA, achieving ≥95% accuracy for all sampling conditions, with only two misclassifications under the ideal conditions, while requiring less development time.

Topik & Kata Kunci

Food processing and manufacture

Penulis (3)

J.R. Swift

M.A. Turner

J.C. Reynolds

Format Sitasi

APA MLA BibTeX

Swift, J., Turner, M., Reynolds, J. (2023). A rapid dynamic headspace method for authentication of whiskies using artificial neural networks. https://doi.org/10.1016/j.focha.2023.100417

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Informasi Jurnal

Tahun Terbit: 2023
Sumber Database: DOAJ
DOI: 10.1016/j.focha.2023.100417
Akses: Open Access ✓