Presentation + Paper
12 March 2024 Determination of hydrogen-producing bacteria contamination in milk by Raman gas spectroscopy
Daniele Barbiero, Fabio Melison, Lorenzo Cocola, Massimo Fedel, Cristian Andrighetto, Paola De Dea, Luca Poletto
Author Affiliations +
Abstract
The detection of Clostridium in milk poses a significant challenge for the dairy industry since traditional methods are time-consuming and lack specificity towards these bacteria. Conversely, microbiological techniques are costly and demand skilled personnel. Clostridium in the form of spores can survive pasteurization and revert to their vegetative form during cheese aging. The gas-producing metabolism of Clostridium, characterized by the production of carbon dioxide and hydrogen, leads to the formation of cracks in the cheese and off-flavors. However, the analysis of gases produced in the headspace can be exploited to determine the presence of Clostridium in milk. This study aims present a Raman spectroscopy-based instrument that enables rapid and cost-effective identification of Clostridium in milk. The methodology aligns with the widely adopted most probable number (MPN) method, as established by Brändle et al. (2016), where vials are considered positive for growth after incubation. However, our innovation lies in the integration of an actual multigas sensing instrument to determine vial positivity, thereby enhancing accuracy. Notably, we emphasize the meticulous selection of vials and the optimization of headspace volume, crucial factors contributing to the heightened performance of the proposed instrument.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Daniele Barbiero, Fabio Melison, Lorenzo Cocola, Massimo Fedel, Cristian Andrighetto, Paola De Dea, and Luca Poletto "Determination of hydrogen-producing bacteria contamination in milk by Raman gas spectroscopy", Proc. SPIE 12879, Photonic Technologies in Plant and Agricultural Science, 1287908 (12 March 2024); https://doi.org/10.1117/12.2692490
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KEYWORDS
Raman spectroscopy

Bacteria

Contamination

Hydrogen

Spectroscopy

Oxygen

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