Over het archief
Het OWA, het open archief van het Waterbouwkundig Laboratorium heeft tot doel alle vrij toegankelijke onderzoeksresultaten van dit instituut in digitale vorm aan te bieden. Op die manier wil het de zichtbaarheid, verspreiding en gebruik van deze onderzoeksresultaten, alsook de wetenschappelijke communicatie maximaal bevorderen.
Dit archief wordt uitgebouwd en beheerd volgens de principes van de Open Access Movement, en het daaruit ontstane Open Archives Initiative.
Basisinformatie over ‘Open Access to scholarly information'.
Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression
Kuuliala, L.; Sader, M.; Solimeo, A.; Pérez-Fernández, R.; Vanderroost, M.; De Baets, B.; De Meulenaer, B.; Ragaert, P.; Devlieghere, F. (2019). Spoilage evaluation of raw Atlantic salmon (Salmo salar) stored under modified atmospheres by multivariate statistics and augmented ordinal regression. Intern. J. Food Microbiol. 303: 46-57. https://dx.doi.org/10.1016/j.ijfoodmicro.2019.04.011
In: International Journal of Food Microbiology. Elsevier: Amsterdam. ISSN 0168-1605; e-ISSN 1879-3460, meer
|  |
| Author keywords |
Intelligent packaging; Partial least squares regression; Seafoodquality; SIFT-MS; Volatile organic compound |
| Auteurs | | Top |
|
- Pérez-Fernández, R., meer
- Vanderroost, M., meer
- De Baets, B., meer
|
- De Meulenaer, B., meer
- Ragaert, P., meer
- Devlieghere, F., meer
|
| Abstract |
The development of quality monitoring systems for perishable food products like seafood requires extensive data collection under specified packaging and storage conditions, followed by advanced data analysis and interpretation. Even though the benefits of using volatile organic compounds as food quality indices have been recognized, few studies have focused on real-time quantification of the seafood volatilome and subsequent systematic identification of the most important spoilage indicators. In this study, spoilage of Atlantic salmon (Salmo salar) stored under modified atmospheres (% CO2/O2/N2) and air was characterized by performing multivariate statistical analysis and augmented ordinal regression modelling for data collected by microbiological, chemical and sensory analyses. Out of 25 compounds quantified by selected-ion flow-tube mass spectrometry, ethanol, dimethyl sulfide and hydrogen sulfide were found characteristic under anaerobic conditions (0/0/100 and 60/0/40), whereas spoilage under air was primarily associated with the production of alcohols and ketones. Under high-O2 MAP (60/40/0), only 3-methylbutanal fulfilled the identification criteria. Overall, this manuscript presents a systematic and widely applicable methodology for the identification of most potential seafood spoilage indicators within the context of intelligent packaging technology development. In particular, parallel application of statistics and modelling was found highly beneficial for the performance of the quality characterization process and for the practical applicability of the obtained results in food quality monitoring. |
IMIS is ontwikkeld en wordt gehost door het VLIZ.
