Cite this paper:
Zhe LI, Haigang QI, Ying YU, Cong LIU, Rihao CONG, Li LI, Guofan ZHANG. Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas[J]. Journal of Oceanology and Limnology, 2023, 41(1): 342-351

Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas
Zhe LI1,5,6, Haigang QI1,2,5, Ying YU4, Cong LIU1, Rihao CONG1,2,5, Li LI1,3,5,6, Guofan ZHANG1,2,5
1 CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;
2 Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;
3 Laboratory for Marine Fisheries Science and Food Production Processes, Pilot National Laboratory for Marine Science and Technology(Qingdao), Qingdao 266237, China;
4 Public Technical Service Center, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;
5 National&Local Joint Engineering Key Laboratory of Ecological Mariculture, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China;
6 University of Chinese Academy of Sciences, Beijing 100049, China
Abstract:
Glycogen, amino acids, fatty acids, and other nutrient components affect the flavor and nutritional quality of oysters. Methods based on near-infrared reflectance spectroscopy (NIRS) were developed to rapidly and proximately determine the nutrient content of the Pacific oyster Crassostrea gigas. Samples of C. gigas from 19 costal sites were freeze-dried, ground, and scanned for spectral data collection using a Fourier transform NIR spectrometer (Thermo Fisher Scientific). NIRS models of glycogen and other nutrients were established using partial least squares, multiplication scattering correction, first-order derivation, and Norris smoothing. The RC values of the glycogen, fatty acids, amino acids, and taurine NIRS models were 0.967 8, 0.931 2, 0.913 2, and 0.892 8, respectively, and the residual prediction deviation (RPD) values of these components were 3.15, 2.16, 3.11, and 1.59, respectively, indicating a high correlation between the predicted and observed values, and that the models can be used in practice. The models were used to evaluate the nutrient compositions of 1 278 oyster samples. Glycogen content was found to be positively correlated with fatty acids and negatively correlated with amino acids. The glycogen, amino acid, and taurine levels of C. gigas cultured in the subtidal and intertidal zones were also significantly different. This study suggests that C. gigas NIRS models can be a cost-effective alternative to traditional methods for the rapid and proximate analysis of various slaughter traits and may also contribute to future genetic and breeding-related studies in Pacific oysters.
Key words:    Pacific oyster|Crassostrea gigas|near-infrared reflectance spectroscopy (NIRS)|nutrient composition|rapid determination   
Received: 2021-10-21   Revised:
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