Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6596750 | Data in Brief | 2018 | 6 Pages |
Abstract
The data presented in this article are related to the research article entitled “Application of Raman spectroscopy and chemometric techniques to assess sensory characteristics of young dairy bull beef” [1]. Partial least squares regression (PLSR) models were developed on Raman spectral data pre-treated using Savitzky Golay (S.G.) derivation (with 2nd or 5th order polynomial baseline correction) and results of sensory analysis on bull beef samples (nâ¯=â¯72). Models developed using selected Raman shift ranges (i.e. 250-3380â¯cmâ1, 900-1800â¯cmâ1 and 1300-2800â¯cmâ1) were explored. The best model performance for each sensory attributes prediction was obtained using models developed on Raman spectral data of 1300-2800â¯cmâ1.
Keywords
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Ming Zhao, Yingqun Nian, Paul Allen, Gerard Downey, Joseph P. Kerry, Colm P. O'Donnell,