Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Using FAME, SPME GC-MS, Compositional, and Sensory Analysis to characterise the Physicochemical Attributes Waterford Blaa

Version 1 : Received: 29 September 2023 / Approved: 29 September 2023 / Online: 29 September 2023 (07:30:21 CEST)

How to cite: Kelly, R.; Harrison, S.M.; Markey, A.; Hollowood, T.; Scannell, A.G. Using FAME, SPME GC-MS, Compositional, and Sensory Analysis to characterise the Physicochemical Attributes Waterford Blaa. Preprints 2023, 2023092076. https://doi.org/10.20944/preprints202309.2076.v1 Kelly, R.; Harrison, S.M.; Markey, A.; Hollowood, T.; Scannell, A.G. Using FAME, SPME GC-MS, Compositional, and Sensory Analysis to characterise the Physicochemical Attributes Waterford Blaa. Preprints 2023, 2023092076. https://doi.org/10.20944/preprints202309.2076.v1

Abstract

Waterford Blaa is one of only seven Irish Protected Geographical Indication (PGI) products and the only Irish PGI bread. Currently, there are few published data characterising these products. This study aimed to determine whether any compositional or sensory markers could be used to differentiate between the three authorised producers of Waterford Blaa. Compositional testing was completed using AOAC standard methods; colour of top crust, bottom crust and crumb were identified with the Minolta Hunter lab colorimeter and texture profile analysis (TPA) was completed with an 80% compression test using the Instron 5544 to establish hardness, gumminess, and springiness. The fatty acid and aroma profiles were established in triplicate testing for the three authorised Blaa products using gas chromatography-flame ionisation detection and headspace-solid phase micro extraction-gas chromatography-mass spectrometry, respectively. As expected, results showed little variation in the overall composition of Waterford Blaa products. However, this study identified a unique fatty acid profile/volatile aroma profile for each Blaa. Specifically, the volatile profile showed potential differentiation between Blaa’s in terms of pentanal, furfural, 2-furanmethanol, 2-ethyl-1-hexanol and 2-pentyl furan. In addition, levels of hexanal and ethyl acetate were significantly different (p<0.05) in the crumb section of all three Blaa’s. This unique fingerprint has the potential to be used to identify fraudulent products claiming to be Waterford Blaa.

Keywords

FAME; SPME GC-MS; Compositional Analysis; Waterford Blaa; Sensory Analysis; Fatty Acid Profile; Volatile Profile

Subject

Biology and Life Sciences, Food Science and Technology

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