Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster <italic style="font-style: italic">Crassostrea gigas</italic>

Zhe LI; Haigang QI; Ying YU; Cong LIU; Rihao CONG; Li LI; Guofan ZHANG

doi:10.1007/s00343-022-1347-3

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

Aquaculture and Fisheries | Updated：2023-04-27

- Near-infrared spectroscopy method for rapid proximate quantitative analysis of nutrient composition in Pacific oyster Crassostrea gigas
- Journal of Oceanology and Limnology Vol. 41, Issue 1, Pages: 342-351(2023)
- Affiliations：
  
  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
- Author bio：
  
  Haigang QI, E-mail: qihaigang@qdio.ac.cn
  Li LI, E-mail: lili@qdio.ac.cn
- Funds：
- DOI：10.1007/s00343-022-1347-3
  CLC：
- Received：21 October 2021，
  
  Accepted：10 December 2021，
  
  Online First：12 January 2022，
  
  Published：2023-01
- Accepted：
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Zhe LI, Haigang QI, Ying YU, 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, 2023, 41(1): 342-351.
DOI：

Zhe LI, Haigang QI, Ying YU, 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, 2023, 41(1): 342-351. DOI： 10.1007/s00343-022-1347-3.

摘要

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

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

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

gigas

cultured in the subtidal and intertidal zones were also significantly different. This study suggests that

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.

关键词

Keywords

references

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

DOI：10.1007/s00343-022-1347-3

摘要

Abstract

关键词

Keywords

references