Browsing by Subject "Wet-aged beef"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Publication
    Analysis of aging-related changes and influencing factors on the metabolome of beef
    (2023) Bischof, Greta; Gibis, Monika
    Aging of beef is necessary to improve its flavor and tenderness. There are two most common aging types, dry-aging and wet-aging. Dry-aged beef is often associated with a higher eating quality than wet-aged beef. The term “dry-aged beef” is not legally defined, so authentication methods are needed to protect the consumers from food fraud. During beef aging, the metabolome of beef changes due to the postmortem metabolism. This dissertation focuses on the aging method as a postmortem process and the resulting changes in the metabolome. As a hypothesis of this study, it was postulated that the detection of these metabolic changes due to aging of beef is feasible by 1H NMR spectroscopy and based on these measurements the evaluation of an authentication model for the aging method of beef is possible. In order to test this hypothesis, a sample preparation and measurement method was developed and based on this, potential influencing factors such as sampling position in muscle, breed and sex were investigated on the metabolome of fresh and aged beef. In the first part of this thesis, the sample preparation and the 1H NMR measurement method were developed. In the sample preparation, the polar fraction of the metabolome was extracted from 200 mg of beef, allowing 24 samples to be prepared in parallel. The sample preparation and the measurement method were validated, and the first aged beef samples were analyzed to check if the aging-related changes in the metabolome could be detected by this method. In the second part of this thesis, the sampling position in the muscle were analyzed for changes or differences in the metabolome due to its location in the muscle. The results showed that the metabolome changes along the length of the M. longissimus thoracis et lumborum, but the influence of the aging type and aging time was more pronounced in the metabolome of beef. The comparison of the surface and the inner part of wet-aged and dry-aged beef showed that the metabolome of dry-aged beef differed greatly between the surface and the inner part, despite the exclusion of the moisture content by freeze-drying and the low microbial load. There were only slight differences between the surface and the inner part for wet-aged beef, which could be due to the influence of microbiota and their metabolites. Therefore, the sampling location in the M. longissimus thoracis et lumborum was determined as precisely as possible for the further studies. The muscles were cut into ten pieces from cranial to caudal and dry-aged or wet-aged for 0, 7, 14, 21, and 28 days, in duplicates. The third part of this thesis focuses on the potential influencing factors such as breed and sex of the animals. Fresh and aged beef samples from three cattle types (heifer, cow, and young bull) and two different breeds (‘Fleckvieh’ and ‘Schwarzbunt’) were analyzed by targeted and non-targeted 1H NMR spectroscopy. Both factors were shown to influence the metabolome of fresh and aged beef. Therefore, these factors had to be included in the authentication model based on both targeted and non-targeted model. The calculation of the authentication model was the main part of this thesis and showed a good prediction of cattle type, breed, aging time and aging type of beef. The authentication model was based on the combination of multiple models of PLS-R and PLS-DA. The model for predicting the cattle type showed an accuracy of 99 %, and the models for predicting the breed depending on the cattle type showed an accuracy of 100 %. Aging time could be predicted with an error of 2.28 days. The statistical models for aging type were separated by aging time based on the determination of aging time. The model for predicting the aging type of 28-day aged samples had an accuracy of 99 %. The other statistical models for predicting aging type were additionally separated by cattle type and breed, and their accuracy ranged from 90 % to 100 %. In conclusion, an authentication model to determine the cattle type, breed, aging time and aging type of beef was developed in this dissertation. Therefore, it is possible to authenticate beef samples using a single 1H NMR spectrum. In future studies, it would be useful to extend this authentication model to other samples of other breeds and influencing factors.