Citation: | ZHENG Caiying, GUO Zhonghua, JIN Ling. Measurement of total viable count on chilled mutton surface based on hyperspectral imaging technique[J]. LASER TECHNOLOGY, 2015, 39(2): 284-288. DOI: 10.7510/jgjs.issn.1001-3806.2015.02.029 |
[1] |
WU D, SHAO K , DA L, et al. Current production and research development of foreign and domestic meat goats industry [J].Animal Husbandry and Feed Science, 2010, 31(6):124-126(in Chinese).
|
[2] |
ZHOU J, YIN J J, HOU Y Z, et al. Development of methods for rapid detection technology of total bacteria in food[J]. Food Research and Development, 2010, 31(12):276-280(in Chinese).
|
[3] |
TAO F F ,WANG W, LI Y Y, et al. A rapid nondestructive measurement method for assessing the total plate count on chilled pork surface[J]. Spectroscopy and Spectral Analysis, 2010, 30(12):3405-3409(in Chinese).
|
[4] |
ZHANG Y,CHENG Y,YAN Y T, et al. Study on characteristics of fluorescent spectra of several kinds of heated common edible oil [J].Laser Technology, 2013,37(1):109-113(in Chinese).
|
[5] |
ZHU R G, MA B X , GAO Z J, et al. Research progress in nondestructive detection of livestock product quality based on hyperspectral imaging[J]. Laser & Infrared, 2011, 41(10):1067-1071(in Chinese).
|
[6] |
PARK B, LAWRENCE K C, WINDHAM W R. Performance of hyperspectral imaging system for poultry surface fecal contaminant detection [J]. Journal of Food Engineering, 2006, 75(3): 340-348.
|
[7] |
CHEN Q S, ZHANG Y H, WAN X M, et al. Study on detection of pork tenderness using hyperspectral imaging technique [J]. Acta Optica Sinica, 2010,30(9):2602-2607(in Chinese).
|
[8] |
QIAO J, NGADI M, WANG N, et al. Pork quality and marbling level assessment using ahyperspectral imaging system [J]. Journal of Food Engineering, 2007, 83(1): 10-16.
|
[9] |
WU J H, PENG Y K, JIANG F C, et al. Hyperspectral scattering profiles for prediction of beef tenderness[J]. Transactions of the Chinese Society for Agricultural Machinery, 2009, 40(12): 135-138(in Chinese).
|
[10] |
PENG Y K, ZHANG J, WANG W, et al. Potential prediction of the microbial spoilage of beef using spatially resolved hyperspectral scattering profiles [J]. Journal of Food Engineering, 2011, 102(2): 163-169.
|
[11] |
WANG W, PENG Y K, ZHANG X L, et al. Study on modeling method of total viable count of fresh pork meat based on hyperspectral imaging system.Spectroscopy and Spectral Analysis, 2010, 30(2): 411-415(in Chinese).
|
[12] |
WEI B L, CHEN G X, XU J C, et al. Recognition of alcohol-free beer by fluorescent spectroscopy and probabilistic neural network[J]. Laser Technology, 2010, 34(6):794-797(in Chinese).
|
[13] |
XUE L, LI J, LIU M H. Detecting pesticide residue on navel orange surface by using hyperspectral imaging [J].Acta Optica Sinica, 2008, 28(12):2277-2280(in Chinese).
|
[14] |
GAMAL E, SUN D W, PAUL A. Near-infrared hyperspectral imaging for predicting colour, pH and tenderness of fresh beef[J]. Journal of Food Engineering, 2012, 110(1):127-140.
|
[15] |
BARBIN D F, ELMASRY G, SUN D W, et al. Non-destructive assessment of microbial contamination in porcine meat using NIR hyperspectral imaging[J]. Innovative Food Science and Emerging Technologies, 2013,17(1):180-191.
|
[16] |
FU X B. Short-wave near infrared detection technology under complex conditions [D].Changchun:Jinlin University, 2012:62-69(in Chinese).
|
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