Crichton, Stuart O.J.; Kirchner, Sascha M.; Porley, Victoria E.; Retz, Stefanie K.; von Gersdorff, Gardis J.E.; Hensel, Oliver and Sturm, Barbara (2017) High pH thresholding of beef with VNIR hyperspectral imaging. Meat Science, 134, pp. 14-17.
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Summary
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.
EPrint Type: | Journal paper |
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Keywords: | Beef, Classification, Hyperspectral imaging, Non-invasive measurement, pH, BÖLN, BOELN, BÖL, BOEL, FKZ 14OE006, Core Organic Plus, SusOrganic |
Subjects: | Food systems > Food security, food quality and human health Food systems > Processing, packaging and transportation |
Research affiliation: | European Union > CORE Organic Plus > SusOrganic Germany > Federal Organic Farming Scheme - BOELN > Food > Processing UK > Other organizations UK > Univ. Newcastle Germany > University of Kassel |
Related Links: | http://coreorganicplus.org/research-projects/susorganic/, http://www.bundesprogramm.de, http://orgprints.org/perl/search/advanced?addtitle%2Ftitle=&keywords=14OE006&%20projects=BOELN&_order=bypublication&_action_search=Suchen |
Deposited By: | von Gersdorff, Gardis J.E. |
ID Code: | 31330 |
Deposited On: | 13 Dec 2017 10:44 |
Last Modified: | 13 Dec 2017 10:44 |
Document Language: | English |
Status: | Published |
Refereed: | Peer-reviewed and accepted |
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