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Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas

文献类型：期刊论文

作者Li, Zhe1,5,6; Qi, Haigang1,2,5; Yu, Ying4; Liu, Cong1; Cong, Rihao1,2,5; Li, Li1,3,5,6; Zhang, Guofan1,2,5
刊名JOURNAL OF OCEANOLOGY AND LIMNOLOGY
出版日期2022-10-20
页码10
ISSN号2096-5508
关键词Pacific oyster Crassostrea gigas near-infrared reflectance spectroscopy (NIRS) nutrient composition rapid determination
DOI10.1007/s00343-022-1347-3
通讯作者Qi, Haigang(qihaigang@qdio.ac.cn) ; Li, Li(lili@qdio.ac.cn)
英文摘要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 R-C 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.
资助项目Shandong Province Key R&D Program Project[2021LZGC029] ; Major Scientific and Technological Innovation Project of Shandong Province[2019JZZY010813] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA24030105] ; Qingdao Key Technology and Industrialization Demonstration Project[22-3-3-hygg-2-hy] ; Earmarked Fund for China Agriculture Research System[CARS-49]
WOS研究方向Marine & Freshwater Biology ; Oceanography
语种英语
出版者SCIENCE PRESS
WOS记录号WOS:000870624200008
源URL[http://ir.qdio.ac.cn/handle/337002/180590]  
专题海洋研究所_实验海洋生物学重点实验室
通讯作者Qi, Haigang; Li, Li
作者单位1.Chinese Acad Sci, Ctr Ocean Megasci, Inst Oceanol, CAS & Shandong Prov Key Lab Expt Marine Biol, Qingdao 266071, Peoples R China
2.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Biol & Biotechnol, Qingdao 266237, Peoples R China
3.Pilot Natl Lab Marine Sci & Technol Qingdao, Lab Marine Fisheries Sci & Food Prod Proc, Qingdao 266237, Peoples R China
4.Chinese Acad Sci, Publ Tech Serv Ctr, Inst Oceanol, Qingdao 266071, Peoples R China
5.Chinese Acad Sci, Inst Oceanol, Natl & Local Joint Engn Key Lab Ecol Mariculture, Qingdao 266071, Peoples R China
6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Li, Zhe,Qi, Haigang,Yu, Ying,et al. Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas[J]. JOURNAL OF OCEANOLOGY AND LIMNOLOGY,2022:10.
APA Li, Zhe.,Qi, Haigang.,Yu, Ying.,Liu, Cong.,Cong, Rihao.,...&Zhang, Guofan.(2022).Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas.JOURNAL OF OCEANOLOGY AND LIMNOLOGY,10.
MLA Li, Zhe,et al."Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas".JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2022):10.

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来源：海洋研究所

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