Rapid detection of Atlantic salmon multi‐quality based on impedance properties

• Published in: Food Science & Nutrition
• Main Authors: Sun, Zongbao, Liang, Liming, Li, Junkui, Liu, Xiaoyu, Sun, Jian, Zou, Xiaobo, Zuo, Min, Guo, Zhiming
• Other Authors: Key Research and Development Program of Zhenjiang City, Jiangsu Postgraduate Research and Practice Innovation Program, Science Foundation or Postdoctoral in Jiangsu Province, Open project of National Engineering Laboratory for Agri-product Quality Traceability, National Key Research and Development Program of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
• Format: Article in Journal/Newspaper
• Language: English
• Published: Wiley 2020
• Subjects: Atlantic salmon
• Online Access: http://dx.doi.org/10.1002/fsn3.1362; https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Ffsn3.1362; https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.1362; https://onlinelibrary.wiley.com/doi/full-xml/10.1002/fsn3.1362

Abstract To establish a rapid, convenient, and low‐cost method to assess the quality of Atlantic salmon, we analyzed the impedance between 10 –1 and 10 5 Hz for Atlantic salmon/rainbow trout, chilled/frozen‐thawed salmon, and fresh/stale salmon. We combined chemometrics with impedance properties to create a multi‐quality index for Atlantic salmon. The accuracy of all three models established can reach 100% in distinguishing Atlantic salmon from rainbow trout and distinguishing chilled salmon from frozen‐thawed salmon. We applied a partial least squares method to create a quantitative prediction model of bioimpedance spectroscopy and the value of total volatile basic nitrogen. The correlation coefficients of the training and test sets were 0.9447 and 0.9387. Our results showed that the combination of impedance properties and chemometrics was a simple and effective application to evaluate Atlantic salmon quality.