Combining near-infrared hyperspectral imaging with elemental and isotopic analysis to discriminate farm-raised pacific white shrimp from high-salinity and low-salinity environments

Dawei Sun; Haiyong Weng; Xiantao He; Li Li; Yong He; Haiyan Cen

doi:10.1016/j.foodchem.2019.125121

Combining near-infrared hyperspectral imaging with elemental and isotopic analysis to discriminate farm-raised pacific white shrimp from high-salinity and low-salinity environments

Food Chem. 2019 Nov 30:299:125121. doi: 10.1016/j.foodchem.2019.125121. Epub 2019 Jul 2.

Authors

Dawei Sun¹, Haiyong Weng², Xiantao He³, Li Li⁴, Yong He⁵, Haiyan Cen⁶

Affiliations

¹ College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, PR China. Electronic address: dzs0015@zju.edu.cn.
² College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, PR China. Electronic address: hyweng@zju.edu.cn.
³ College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, PR China. Electronic address: hxt@zju.edu.cn.
⁴ Key Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao 266003, PR China. Electronic address: l_li@ouc.edu.cn.
⁵ College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, PR China. Electronic address: yhe@zju.edu.cn.
⁶ College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, PR China; Key Laboratory of Spectroscopy Sensing, Ministry of Agriculture and Rural Affairs, Hangzhou 310058, PR China. Electronic address: hycen@zju.edu.cn.

PMID: 31310915
DOI: 10.1016/j.foodchem.2019.125121

Abstract

White shrimp (Litopenaeus vannamei) raised in low-salinity farm are considered inferior to those in seawater. In order to develop a rapid discrimination method for the food industry, we investigated the potential of using near-infrared hyperspectral imaging to discriminate shrimp muscle samples from freshwater and seawater farms. We constructed 3 different discrimination models with 4 optimal wavelength selection methods and compared the performance of each model. The results showed that sequential forward selection combined with partial least squares discriminant analysis (SFS-PLS-DA) generated the best discrimination performance with an overall accuracy of 99.2%. The elemental and isotopic analysis indicated a high correlation between 918 and 925 nm region (which was selected by SFS) and ¹³C concentration. This agrees with the fact that there is more ¹³C in shrimp of salty water compared to those of freshwater. The results demonstrated (hyperspectral imaging) HSI is promising to discriminate L. vannamei raised in fresh and seawater environments.

Keywords: Litopenaeus vannamei; Salinity; Shrimp; Spectrology; Stable isotope analysis.

MeSH terms

Animals
Carbon Isotopes / analysis
Farms
Feasibility Studies
Penaeidae / physiology*
Salinity
Seawater

Substances

Carbon Isotopes