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Classification of organic beef storage conditions and maturation stage using VNIR hyperspectral imaging Organic Eprints
Crichton, Stuart O.J.; Kirchner, Sascha M.; Porley, Victoria; Retz, Stefanie; von Gersdorff, Gardis; Hensel, Oliver; Weygandt, Martin; Sturm, Barbara.
Consumer trust in the food industry is heavily reliant upon accurate labelling of meat products. As such, methods which can verify whether meat is correctly labelled are of great value to producers, retailers, and consumers. This paper illustrates two approaches to classify between, fresh and frozen thawed, and in a novel manner matured and matured frozen-thawed, as well as fresh and matured beef using the 500-1010 nm waveband, captured using hyperspectral imaging, and CIELAB measurements. The results show successful classification based upon CIELAB between 1) fresh and frozen-thawed (CCR = 0.93), and 2) fresh and matured (CCR = 0.92). With successful classification between matured and matured frozen-thawed beef using the entire spectral range (CCR =...
Tipo: Journal paper Palavras-chave: Food security; Food quality and human health Processing; Packaging and transportation Consumer issues Produce chain management.
Ano: 2017 URL: http://orgprints.org/30682/1/crichton-etal-2017-MeatScience-Vol129-p20-27.pdf
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High pH thresholding of beef with VNIR hyperspectral imaging Organic Eprints
Crichton, Stuart O.J.; Kirchner, Sascha M.; Porley, Victoria E.; Retz, Stefanie K.; von Gersdorff, Gardis J.E.; Hensel, Oliver; Sturm, Barbara.
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...
Tipo: Journal paper Palavras-chave: Food security; Food quality and human health Processing; Packaging and transportation.
Ano: 2017 URL: http://orgprints.org/31330/1/1-s2.0-S0309174017301651-main.pdf__tid%3Dadef2be4-cf94-11e7-a0cd-00000aacb35e%26acdnat%3D1511362494_f1284aed7bc8efcad6ef2bc3ef5ee357
Registros recuperados: 2
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