Journal article
High pH thresholding of beef with VNIR hyperspectral imaging
Publication Details
Authors: | Crichton, S.; Kirchner, S.; Porley, V.; Retz, S.; Retz, S.; Gersdorff, G.; Hensel, O.; Sturm, B. |
Publication year: | 2017 |
Journal: | Meat Science |
Pages range : | 14-17 |
Volume number: | 134 |
ISSN: | 0309-1740 |
DOI-Link der Erstveröffentlichung: |
Abstract
Initial quality grading of meat is generally carried out using invasive and occasionally destructive sampling for the purposes of pH testing. Precise pH and thresholds exist to allow the classification of different statuses of meat, e.g. for detection of dry, firm, and dark (DFD) (when dealing with cattle and sheep), or pale, soft exudative meat (when dealing with pork). This paper illustrates that threshold detection for pH level in beef with different freshness levels (fresh, fresh frozen-thawed, matured, and matured frozen-thawed). Use of support vector machine (SVM) analysis allowed for the classification of beef samples with a pH above 5.9, and below 5.6, with an accuracy of 91{\%} and 99{\%} respectively. Biochemical and physical conditions of the meat concerning the pH are discussed.
Initial quality grading of meat is generally carried out using invasive and occasionally destructive sampling for the purposes of pH testing. Precise pH and thresholds exist to allow the classification of different statuses of meat, e.g. for detection of dry, firm, and dark (DFD) (when dealing with cattle and sheep), or pale, soft exudative meat (when dealing with pork). This paper illustrates that threshold detection for pH level in beef with different freshness levels (fresh, fresh frozen-thawed, matured, and matured frozen-thawed). Use of support vector machine (SVM) analysis allowed for the classification of beef samples with a pH above 5.9, and below 5.6, with an accuracy of 91{\%} and 99{\%} respectively. Biochemical and physical conditions of the meat concerning the pH are discussed.
