Assessment of physico-chemical traits related to eating quality of young dairy bull beef at different ageing times using Raman spectroscopy and chemometrics
dc.contributor.author | Nian, Yingqun | |
dc.contributor.author | Zhao, Ming | |
dc.contributor.author | O'Donnell, Colm P. | |
dc.contributor.author | Downey, Gerard | |
dc.contributor.author | Kerry, Joseph P. | |
dc.contributor.author | Allen, Paul | |
dc.date.accessioned | 2020-06-29T16:01:11Z | |
dc.date.available | 2020-06-29T16:01:11Z | |
dc.date.issued | 2017-06-27 | |
dc.identifier.citation | Nian, Y., Zhao, M., O'Donnell, C., Downey, G., Kerry, J. and Allen, P. Assessment of physico-chemical traits related to eating quality of young dairy bull beef at different ageing times using Raman spectroscopy and chemometrics. Food Research International, 2017, 99, 778-789. doi: http://dx.doi.org/10.1016/j.foodres.2017.06.056 | en_US |
dc.identifier.uri | http://hdl.handle.net/11019/2081 | |
dc.description | peer-reviewed | en_US |
dc.description.abstract | Raman spectroscopy and chemometrics were investigated for the prediction of eating quality related physico-chemical traits of Holstein-Friesian bull beef. Raman spectra were collected on the 3rd, 7th and 14th days post-mortem. A frequency range of 1300–2800 cm− 1 was used for partial least squares (PLS) modelling. PLS regression (PLSR) models for the prediction of WBSF and cook loss achieved an R2CV of 0.75 with RMSECV of 6.82 N and an R2CV of 0.77 with RMSECV of 0.97%w/w respectively. For the prediction of intramuscular fat, moisture and crude protein content, R2CV values were 0.85, 0.91 and 0.70 with RMSECV of 0.52%w/w, 0.39%w/w and 0.38%w/w respectively. An R2CV of 0.79 was achieved for the prediction of both total collagen and hydroxyproline content, while for collagen solubility the R2CV was 0.88. All samples (100%) from 15- and 19-month old bulls were correctly classified using PLS discriminant analysis (PLS-DA), while 86.7% of samples from different muscles (longissimus thoracis, semitendinosus and gluteus medius) were correctly classified. In general, PLSR models using Raman spectra on the 3rd day post-mortem had better prediction performance than those on the 7th and 14th days. Raman spectroscopy and chemometrics have potential to assess several beef physical and chemical quality traits. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartofseries | Food Research Internation;Vol. 99 | |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
dc.subject | Beef | en_US |
dc.subject | Chemometrics | en_US |
dc.subject | Eating quality | en_US |
dc.subject | Physico-chemical traits | en_US |
dc.subject | Post-mortem ageing | en_US |
dc.subject | Raman spectroscopy | en_US |
dc.title | Assessment of physico-chemical traits related to eating quality of young dairy bull beef at different ageing times using Raman spectroscopy and chemometrics | en_US |
dc.type | Article | en_US |
dc.embargo.terms | 2018-06-27 | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/j.foodres.2017.06.056 | |
dc.contributor.sponsor | Teagasc Walsh Fellowship Programme | en_US |
refterms.dateFOA | 2018-06-27T00:00:00Z |