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Method for distinguishing dosidicus gigas of multiple geographical populations with muscle essential fatty acid composition

A technology of essential fatty acids and fatty acids, applied in material separation, analysis materials, measuring devices, etc.

Active Publication Date: 2017-11-17
SHANGHAI OCEAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] So far, no literature has been reported on the study of feeding ecology in different geographic populations of squidfish using fatty acid markers

Method used

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  • Method for distinguishing dosidicus gigas of multiple geographical populations with muscle essential fatty acid composition
  • Method for distinguishing dosidicus gigas of multiple geographical populations with muscle essential fatty acid composition
  • Method for distinguishing dosidicus gigas of multiple geographical populations with muscle essential fatty acid composition

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Embodiment 1

[0047] A method for distinguishing the geographical group of squid squid by using the essential fatty acid composition of muscle, comprising the steps of:

[0048] A total of 66 squids were randomly collected from 3 known geographic regions, including 19 in the equatorial waters of the Eastern Pacific Ocean (0°28'N~1°00'S, 115°01'W~119°00'W), 27 tails (9°50'S~15°42'S, 79°45'W~85°03'W) and 20 tails off the coast of Chile (37°06'S~38°00'S, 79°01'W~83°00'W).

[0049] (1) Extract the muscle fatty acid of squid squid:

[0050] i. Sampling: Cut open from the ventral surface of the carcass, use surgical scissors to cut 2×2cm muscle at the infundibulum clavicular cartilage, wash the surface of the sample with ultrapure water, remove the skin with tweezers, and put it into a 10ml centrifuge tube for cryopreservation;

[0051] ii. Freeze-drying: put the frozen sample into a freeze dryer and freeze-dry at -55°C for 30 hours;

[0052] iii. Grinding: the dried sample is ground into powde...

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Abstract

The invention relates to a method for distinguishing dosidicus gigas of multiple geographical populations with muscle essential fatty acid composition. The method specifically includes: (1) extracting dosidicus gigas muscle essential fatty acid; (2) determining fatty acid by GC-MS; (3) analyzing muscle fatty acid data; (4) calculating the n-3 and n-6 series unsaturated fatty acid discriminant coefficients and constants of dosidicus gigas of multiple geographical populations; and (5) performing discrimination: utilizing the to-be-discriminated dosidicus gigas muscle's n-3 and n-6 series unsaturated fatty acid percent content obtained by step (1)-(3) and the discriminant coefficients and constants obtained by step (4) to calculate a plurality of discriminant function values, and using a geographic area corresponding to a maximum function value to represent the belonging geographical population. The method provided by the invention has the advantages of rapidity and high accuracy.

Description

technical field [0001] The present invention relates to the field of fisheries, and more particularly, to a method for differentiating multiple geographical groups of squid by using the essential fatty acid composition of the muscle. Background technique [0002] Fatty acid is a special compound, mainly in the form of tricarboxylic acid glycerides and phospholipids. It is relatively stable and not easy to change during the feeding process of organisms. It can be used to analyze food sources and is one of the natural biomarkers (Xu Qiang , Yang Hongsheng. The application of fatty acid markers in the study of nutritional relationship in marine ecosystems [J]. Oceanographic Journal, 2011,33(1):1-6). As a biomarker, fatty acids have several advantages: First, fatty acids can be stored in organisms by forming storage lipids, which can reflect the food intake of organisms over a period of time. Compared with the traditional gastric content analysis method, it reduces In order to ...

Claims

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Application Information

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IPC IPC(8): G01N30/02G01N30/14
CPCG01N30/02G01N30/14
Inventor 贡艺陈新军李云凯陈玲高小迪高春霞李建华王少琴张海亭
Owner SHANGHAI OCEAN UNIV
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