Near infrared spectroscopy;
Discrimination;
Salmon;
Depuration;
Off-flavor compounds;
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摘要:
Some species of actinomycetes, fungi, and blue-green algae produce semivolatile off-flavor compounds responsible for earthy-musty odorants in water from aquaculture facilities and tend to bioaccumulate within fish flesh. Although these off-flavor compounds are harmless to human health, high levels within fish tissue lead to an undesirable taste leading to an unmarketable consumption quality. Preharvest processes such as depuration can be used to eliminate most of these off-flavor compounds and ultimately enhance salmon quality. This study examined the potential of near infrared spectroscopy (NIRS) to discriminate depurated from nondepurated salmon fillets (n = 62). Partial least squares discriminant analysis based on NIR spectra correctly classified 100 % of non-depurated and depurated salmon fillets. The successful classification was likely a consequence of statistically significant differences in the content of off-flavor compounds between both samples, which could have been detected by NIR spectra. Thus, NIRS is a fast, inexpensive, solvent-free, and non-destructive technology that can be used for the authentication of salmon with enhanced quality for marketing purposes.
机构:
Univ Tasmania, Australian Seafood Cooperat Res Ctr, Hobart, Tas 7001, Australia
Univ Tasmania, Tasmanian Inst Agr Res, Hobart, Tas 7001, AustraliaUniv Tasmania, Australian Seafood Cooperat Res Ctr, Hobart, Tas 7001, Australia
Tito, N. B.
Rodernann, T.
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机构:
Univ Tasmania, Cent Sci Lab, Hobart, Tas 7001, AustraliaUniv Tasmania, Australian Seafood Cooperat Res Ctr, Hobart, Tas 7001, Australia
Rodernann, T.
Powell, S. M.
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机构:
Univ Tasmania, Australian Seafood Cooperat Res Ctr, Hobart, Tas 7001, Australia
Univ Tasmania, Tasmanian Inst Agr Res, Hobart, Tas 7001, AustraliaUniv Tasmania, Australian Seafood Cooperat Res Ctr, Hobart, Tas 7001, Australia
机构:
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Zhao, Jiewen
Guo, Zhiming
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机构:
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Guo, Zhiming
Chen, Quansheng
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机构:
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
Chen, Quansheng
Lu, Qiang
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机构:
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, ChinaSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, China
机构:
South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
Guangdong Prov Key Lab Agr Artificial Intelligence, Guangzhou 510642, Peoples R ChinaSouth China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
Li, Peng
Ma, Junchao
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机构:
South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
Guangdong Prov Key Lab Agr Artificial Intelligence, Guangzhou 510642, Peoples R ChinaSouth China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
Ma, Junchao
Zhong, Nan
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机构:
South China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China
Guangdong Prov Key Lab Agr Artificial Intelligence, Guangzhou 510642, Peoples R ChinaSouth China Agr Univ, Coll Engn, Guangzhou 510642, Peoples R China