Volatile fingerprinting by solid-phase microextraction mass spectrometry for rapid classification of honey botanical source

Volatile fingerprinting by Headspace-Solid-Phase Microextraction followed Direct Injection Mass Spectrometry (HS-SPME DIMS) has been assessed for the first time as an alternative approach to gas chromatographic methods GC-MS) rapid classification of honey botanical origin. In order fully evaluate potential SPME authentication, samples from different sources (eucalyptus, citrus, acacia, rosemary and honeydew) were analyzed both approaches using either carboxen/polydimethylsiloxane (C/PDMS) or polyacrylate fibers. These datasets further subjected supervised unsupervised chemometric techniques, including powerful machine learning such FreeViz, not previously applied this purpose. The best overall rate (99% success), outperforming that provided GC-MS data (98.25% was obtained when partial least squares-linear discriminant analysis mass spectral fingerprints gathered C/PDMS fiber. HS-SPME DIMS here optimized is shown advantageous in terms over (2 vs 50 min), well a reliable cost-efficient source authentication issues research food industry fields. • A novel fast min) method developed volatile fingerprinting. Honeys five origins successfully categorized. Carboxen/PDMS outperformed fiber clustering. PLS-LDA (99%) rate. SPME-Direct allowed accurate authentication.