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    Home > Food News > Food Articles > The Yellow Marine Production Research Institute of the Chinese Academy of Aquatic Sciences has made important progress in the evaluation of the nutritional quality of fatty acids in cultured fish.

    The Yellow Marine Production Research Institute of the Chinese Academy of Aquatic Sciences has made important progress in the evaluation of the nutritional quality of fatty acids in cultured fish.

    • Last Update: 2020-10-27
    • Source: Internet
    • Author: User
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     On September 30th, the
    Aquatic
    Institute of Yellow Seawater Research institute of China's
    Animals
    Nutrition and
    Feeds
    team published a book entitled "Are fish what what eat?" in the world's top international journal in the field of lipid research. A paper on A fatty acid's perspective. The three-year project, carried out in collaboration with experts from the Yellow SeaWater Research Institute, China Ocean University, Deakin University of Australia and the Australian Federal Scientific and Industrial Organization, built a relationship database of
    cultured
    fish
    feed-fish bodies"

    fatty acids" and, by building a The series of mathematical models quantitatively evaluates the flow process of fatty acids from feed to fish, quantitatively analyzes the effects of experimental conditions and environmental factors on the flow process of fatty acids from feed to fish, and also discusses a series of other relevant factors affecting the flow of fatty acids from feed to fish. This work provides a theoretical basis for fine and accurate evaluation of the relationship between fatty acids in farmed fish feed and fatty acids in fish bodies, and a theoretical basis for the regulation and regulation of feed pathways for the
    trophics
    of farmed fish fatty acids.
    1 Feed fatty acids and fish fatty acids Coefficient of distance value radar map
    farmed fish products are currently the main food source for human access to DHA and other long-chain polyunsaturated fatty acids (LC-PUFA). Because the fatty acid composition of fish body is highly malleable, it is generally believed that "the fatty acid composition of fish body generally reflects the composition of feed fatty acids". However, this rough conceptualized description does not accurately and comprehensively reflect the relationship between feed fatty acids and fish body fatty acid composition, and studies have found that a variety of factors affect the deposition and metabolism of feed fatty acids in fish bodies. For example, fatty acids of different chain length and desaturation differ significantly in the synthesis, oxidative energy supply and selective deposition of fish, differences in fatty acid metabolism between different species, especially fish with different salinity levels, different nutrient levels and different fat content, feed feeding factors (e.g. feeding cycle and feed fat content) and environmental conditions (e.g. temperature and salinity) in the culture process can also significantly affect the deposition process of fatty acids from feed to fish. Therefore, the fine and accurate evaluation of fatty acids from feed to fish body of the flow process for cultured fish quality evaluation and feed fatty acid management is of great significance.
    Figure 2 Feed Fatty Acids and Fish Fatty Acid Matrix Correlation Radar Distribution Map
    Based on 290 representative documents on the composition of farmed fish feed and fish fatty acids, this work constructed a database of "feed-fish body" fatty acid composition. After standardizing the fatty acid data in the database, four basic evaluation parameters were calculated for the "feed-fish body" relationship of individual fatty acids in each data: (1) Pearson two-tail correlation coefficient; In addition, two comprehensive evaluation parameters were constructed for each organization to quantify the relative relationship between fatty acid composition and feed fatty acid composition: (1) Coefficient of Distance
    (2) Fatty Acid Matrix Correlation (R2overall)
    and, in conjunction with the SIMPER multi-similarity analysis tool in the PRIMER-E ecological evaluation model, to analyze the contribution of fatty acid monotones to the difference in feed and tissue fatty acid composition. Subsequently, the values of environmental factors such as initial weight, nutritional grade, feeding cycle, feed fat level, salinity and temperature of the breeding process were further analyzed with the above evaluation parameters in order to achieve a quantitative assessment of the fatty acid relationship of "feed-fish body" influenced by these factors. The results of the analysis systematically expound the differences between the fatty acid composition relationship of "feed-fish body" in different fatty acids, different tissues, different lipid types and different cultured fish, and reveal and discover many new characteristics and laws in the process of fish fatty acid deposition. This research provides an important methodological innovation for the nutritional quality evaluation of fatty acids in farmed fish.
    Figure 3 analyzes the relationship between experimental factors and the composition of "feed-muscle" fatty acids and muscle fatty acid content based on the database information built
    Xu Huiguo, a researcher at the Yellow Sea Production Research Institute, is the first author of this paper; Professor Giovanni Turchini of Deakin University in Australia, Liang Mengqing, a researcher at the Yellow Sea Production Research Institute, and Professor Ai Qinghui of China Ocean University are co-authors of this paper. The work is funded by the National Key Research and Development Program "Blue Granary Science and Technology Innovation" key projects, the National Natural Science Foundation of China and the National Marine Fish Industry Technology System.
    Progress in Lipid Research is an international top journal in the field of lipid research (impact factor 15.083), focusing on the latest developments in the field of lipid research, with an annual volume of only 25 articles. Full text link:
    inkinghub.elsevier.com/retrieve/pii/S0163782720300448.
    .
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