High pH thresholding of beef with VNIR hyperspectral imaging

被引:19
作者
Crichton, Stuart O. J. [1 ]
Kirchner, Sascha M. [1 ]
Porley, Victoria [2 ,3 ]
Retz, Stefanie [1 ]
von Gersdorff, Gardis [1 ]
Hensel, Oliver [1 ]
Sturm, Barbara [1 ,4 ]
机构
[1] Univ Kassel, Postharvest Technol & Proc Grp, Dept Agr Engn, Witzenhausen, Germany
[2] Univ St Andrews, Sch Chem, St Andrews, Fife, Scotland
[3] Univ St Andrews, Sch Phys, St Andrews, Fife, Scotland
[4] Newcastle Univ, Sch Agr Food & Rural Dev, Newcastle Upon Tyne, Tyne & Wear, England
关键词
Beef; Classification; Hyperspectral imaging; Non-invasive measurement; pH; QUALITY ATTRIBUTES; COLOR; FRESH; PREDICTION; FROZEN;
D O I
10.1016/j.meatsci.2017.07.012
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
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.
引用
收藏
页码:14 / 17
页数:4
相关论文
共 26 条
[1]  
Adzitey F., 2011, International Food Research Journal, V18, P11
[2]  
Amigo JM, 2013, DATA HANDL SCI TECHN, V28, P343, DOI 10.1016/B978-0-444-59528-7.00009-0
[3]  
Amjad W., 2017, BIOSYSTEMS ENG UNPUB
[4]  
AMSA, 2012, MEAT COL MEAS GUID
[5]  
[Anonymous], 2011, R: A Language and Environment for Statistical Computing
[6]  
Brefeld U., 2005, P ICML 2005 WORKSH R
[7]  
Camou JP, 2006, FASEB J, V20, pA50
[8]   Integration of classifiers analysis and hyperspectral imaging for rapid discrimination of fresh from cold-stored and frozen-thawed fish fillets [J].
Cheng, Jun-Hu ;
Sun, Da-Wen ;
Pu, Hong-Bin ;
Chen, Xinghai ;
Liu, Yelin ;
Zhang, Hong ;
Li, Jiang-Lin .
JOURNAL OF FOOD ENGINEERING, 2015, 161 :33-39
[9]  
Crichton S., 2015, P ASABE ANN INT M SP
[10]   Classification of organic beef freshness using VNIR hyperspectral imaging [J].
Crichton, Stuart O. J. ;
Kirchner, Sascha M. ;
Porley, Victoria ;
Retz, Stefanie ;
von Gersdoiff, Gardis ;
Hensel, Oliver ;
Weygandt, Martin ;
Sturm, Barbara .
MEAT SCIENCE, 2017, 129 :20-27