YANG Yukai, HUANG Xiaolin, SHU Hu, LIN Heizhao, WANG Lan, XUN Pengwei, YU Wei, HUANG Zhong, LI Tao. Comparative analysis of nutritional composition of muscle from Siganus oramin living in different habitats[J]. South China Fisheries Science, 2023, 19(1): 128-135. DOI: 10.12131/20210345
Citation: YANG Yukai, HUANG Xiaolin, SHU Hu, LIN Heizhao, WANG Lan, XUN Pengwei, YU Wei, HUANG Zhong, LI Tao. Comparative analysis of nutritional composition of muscle from Siganus oramin living in different habitats[J]. South China Fisheries Science, 2023, 19(1): 128-135. DOI: 10.12131/20210345

Comparative analysis of nutritional composition of muscle from Siganus oramin living in different habitats

More Information
  • Received Date: November 19, 2021
  • Revised Date: June 06, 2022
  • Accepted Date: July 12, 2022
  • Available Online: July 21, 2022
  • To provide basic data for the production of Siganus oramin formula feed, we measured the general nutritional composition, amino acids and fatty acids in the muscle of S. oramin from industrial farming, high pond farming and the wild by biochemical analysis, investigated the effects of habitat on the muscle the nutrition and quality of S. oramin. The results show that compared with the wild fish, the contents of crude protein and crude lipid were higher but those of ash and moisture were lower in the muscle of the farmed fish, and the crude fat content in the industrial farmed fish was significantly higher than that of the other groups (P<0.05). Moreover, there were 17 common amino acids in the three kinds of fishes. Among them the glutamate content was the highest. For essential amino acids (EAA), lysine had the highest content. The essential amino acid index (EAAI) was highest in high pond farmed fish but lowest in the wild fish. Furthermore, there were 26 species fatty acids in the two kinds of farmed fish but only 24 species were found in the wild fish. The contents of polyunsaturated fatty acids (PUFA), n-6 series C18:2n6c were highest in the two farmed fishes, while those of the C22:6n3 (DHA) and C20:5n3 (EPA) of n-3 series were significantly higher in the wild fish. The ratio of n-3/n-6 and the content of DHA+EPA in the wild fish were significantly different from the two farmed fishes (P<0.05). Thus, it is revealed that the farmed S. oramin's nutrition and flavor are better than the wild ones, but they lack n-3 PUFA such as DHA and EPA.
  • [1]
    马强. 中国海蓝子鱼科Family Siganidae分类和动物地理学特点[D]. 青岛: 中国科学院海洋研究所, 2006: 1-8.
    [2]
    黄小林, 李文俊, 林黑着, 等. 基于线粒体DNA D-loop序列的黄斑篮子鱼群体遗传多样性分析[J]. 热带海洋学报, 2018, 37(4): 45-51.
    [3]
    黄小林, 杨育凯, 李涛, 等. 黄斑篮子鱼仔、稚、幼鱼形态观察与生长研究[J]. 南方水产科学, 2018, 14(5): 88-94.
    [4]
    黄小林, 杨育凯, 李涛, 等. 池塘养殖黄斑篮子鱼初次性成熟性腺发育研究[J]. 南方水产科学, 2020, 16(5): 99-107. doi: 10.12131/20200051
    [5]
    梁前才. 长鳍篮子鱼池塘单养试验[J]. 科学养鱼, 2018(2): 48-49. doi: 10.14184/j.cnki.issn1004-843x.2018.02.031
    [6]
    冯广朋, 章龙珍, 庄平, 等. 海水网箱养殖长鳍篮子鱼的摄食与生长特性[J]. 海洋渔业, 2008, 30(1): 37-42. doi: 10.3969/j.issn.1004-2490.2008.01.007
    [7]
    杨育凯, 黄小林, 林黑着, 等. 黄斑篮子鱼幼鱼适宜投喂频率的研究[J]. 动物营养学报, 2020, 32(4): 1809-1816. doi: 10.3969/j.issn.1006-267x.2020.04.039
    [8]
    JIANG B, DU J J, LI Y W, et al. Transcriptome analysis provides insights into molecular immune mechanisms of rabbitfish, Siganus oramin against Cryptocaryon irritans infection[J]. Fish Shellfish Immunol, 2019, 88: 111-116. doi: 10.1016/j.fsi.2019.02.039
    [9]
    庄平, 宋超, 章龙珍, 等. 黄斑篮子鱼肌肉营养成分与品质的评价[J]. 水产学报, 2008, 32(1): 77-83.
    [10]
    徐树德, 刘雪兵, 王树启, 等. 不同类型饲料对黄斑篮子鱼幼鱼生长及肌肉蛋白质和脂肪酸组成的影响[J]. 海洋渔业, 2014, 36(6): 529-535. doi: 10.3969/j.issn.1004-2490.2014.06.008
    [11]
    王志铮, 杨磊, 朱卫东. 三种养殖模式下日本鳗鲡养成品的形质差异[J]. 应用生态学报, 2012, 23(5): 1385-1392. doi: 10.13287/j.1001-9332.2012.0187
    [12]
    FAO/WHO Ad Hoe Expert Committee. Energy and protein requirements[R]. Rome: FAO Nutrition Meeting Report Series, 1973: 40-73.
    [13]
    中国预防医学科学院营养与食品卫生研究所. 食物成分表(全国代表值)[M]. 北京: 人民卫生出版社, 1991: 30-82.
    [14]
    于久翔, 高小强, 韩岑, 等. 野生和养殖红鳍东方鲀营养品质的比较分析[J]. 动物营养学报, 2016, 28(9): 2987-2997. doi: 10.3969/j.issn.1006-267x.2016.09.039
    [15]
    江伟珣, 刘毅. 营养与食品卫生学[M]. 北京: 北京医科大学、中国协和医科大学联合出版社, 1992: 4-14.
    [16]
    XIE R T, AMENYOGBE E, CHEN G, et al. Effects of feed fat level on growth performance, body composition and serum biochemical indices of hybrid grouper (Epinephelus fuscoguttatus × Epinephelus polyphekadion)[J]. Aquaculture, 2021, 530(1/2/3/4): 735813.
    [17]
    韩现芹, 贾磊, 王群山, 等. 野生与养殖牙鲆肌肉营养成分的比较[J]. 广东海洋大学学报, 2015, 35(6): 94-99. doi: 10.3969/j.issn.1673-9159.2015.06.017
    [18]
    FUENTES A, FERNÁNDEZ-SEGOVIA I, SERRA J A, et al. Comparison of wild and cultured sea bass (Dicentrarchus labrax) quality[J]. Food Chem, 2010, 119: 1514-1518. doi: 10.1016/j.foodchem.2009.09.036
    [19]
    陈学豪, 林利民, 洪惠馨. 野生与饲养赤点石斑鱼肌肉营养成分的比较研究[J]. 厦门水产学院学报, 1994, 16(1): 1-5.
    [20]
    王金娜, 唐黎, 刘科强, 等. 人工养殖与野生鳙鱼肌肉营养成分的比较分析[J]. 河北渔业, 2013(2): 8-14,16. doi: 10.3969/j.issn.1004-6755.2013.02.003
    [21]
    HAARD N F. Control of chemical composition and food quality attributes of cultured fish[J]. Food Res Int, 1992, 25(4): 289-307. doi: 10.1016/0963-9969(92)90126-P
    [22]
    尤宏争, 孙志景, 张勤, 等. 豹纹鳃棘鲈肌肉营养成分分析与品质评价[J]. 水生生物学报, 2014, 38(6): 1168-1172. doi: 10.7541/2014.169
    [23]
    颜孙安, 姚清华, 林香信, 等. 不同养殖模式大黄鱼肌肉营养成分比较[J]. 福建农业学报, 2015, 30(8): 736-744. doi: 10.3969/j.issn.1008-0384.2015.08.003
    [24]
    王继隆, 刘伟, 李培伦, 等. 野生和养殖大麻哈鱼肌肉营养成分与品质评价[J]. 广东海洋大学学报, 2019, 39(2): 126-132. doi: 10.3969/j.issn.1673-9159.2019.02.016
    [25]
    青木隆子, 鷹田馨, 國崎直道. 天然および養殖魚種の一般成分, 無機質, 脂肪酸, 遊離アミノ酸, 筋肉硬度および色差について[J]. 日本水產學會誌, 1991, 57(10): 1927-1934.
    [26]
    胡园, 周朝生, 胡利华, 等. 海淡水养殖日本鳗鲡肌肉和鱼皮营养分析比较[J]. 水生生物学报, 2015, 39(4): 730-739. doi: 10.7541/2015.96
    [27]
    陈道海, 文菁, 赵玉燕, 等. 野生与人工养殖的虎斑乌贼肌肉营养成分比较[J]. 食品科学, 2014, 35(7): 217-222. doi: 10.7506/spkx1002-6630-201407043
    [28]
    唐雪, 徐钢春, 徐跑, 等. 野生与养殖刀鲚肌肉营养成分的比较分析[J]. 动物营养学报, 2011, 23(3): 514-520. doi: 10.3969/j.issn.1006-267x.2011.03.024
    [29]
    樊海平, 邱曼丽, 钟全福, 等. 不同生长阶段野生和养殖大刺鳅营养成分的比较[J]. 安徽农业科学, 2018, 46(8): 92-96. doi: 10.3969/j.issn.0517-6611.2018.08.027
    [30]
    张美彦, 曾圣, 杨星, 等. 不同生长阶段杂交鲟肌肉营养成分的比较研究[J]. 动物营养学报, 2019, 31(9): 4378-4386.
    [31]
    李志斐, 龚望宝, 王金林, 等. 冰鲜杂鱼和人工配合饲料对大口黑鲈肌肉品质及健康状况影响的评价[J]. 动物营养学报, 2017, 29(11): 4180-4188. doi: 10.3969/j.issn.1006-267x.2017.11.042
    [32]
    曹平, 宋炜, 陈佳, 等. 闽东海域棘头梅童鱼肌肉营养成分分析与评价[J]. 海洋渔业, 2021, 43(4): 453-463. doi: 10.3969/j.issn.1004-2490.2021.04.007
    [33]
    施永海, 张根玉, 张海明, 等. 金钱鱼肌肉营养成分的分析和评价[J]. 食品工业科技, 2015, 36(6): 346-350. doi: 10.13386/j.issn1002-0306.2015.06.067
    [34]
    邱德林, 张木子, 刘嘉欣, 等. 野生、池塘及工厂化养殖马口鱼肌肉营养成分比较研究[J]. 水产学报, 2022, 46(8): 1449-1457.
    [35]
    周飘苹, 金敏, 吴文俊, 等. 不同养殖模式、投喂不同饵料及不同品系大黄鱼营养成分比较[J]. 动物营养学报, 2014, 26(4): 969-980. doi: 10.3969/j.issn.1006-267x.2014.04.016
    [36]
    马旭洲, 温旭, 王武. 野生与人工养殖瓦氏黄颡鱼肌肉营养成分及品质评价[J]. 安徽农业大学学报, 2016, 43(1): 26-31. doi: 10.13610/j.cnki.1672-352x.20151224.011
    [37]
    宋超, 庄平, 章龙珍, 等. 野生及人工养殖中华鲟幼鱼肌肉营养成分的比较[J]. 动物学报, 2007, 53(3): 502-510. doi: 10.3321/j.issn:0001-7302.2007.03.013
    [38]
    GRIGORAKIS K. Compositional and organoleptic quality of farmed and wild gilthead sea bream (Sparus aurata) and seabass (Dicentrarchus labrax) and factors affecting it: a review[J]. Aquaculture, 2007, 272(1/2/3/4): 55-75.
    [39]
    BARROS R, MOREIRA A, FONSECA J, et al. Dietary intake of alpha-linolenic acid and low ratio of n-6: n-3 PUFA are associated with decreased exhaled NO and improved asthma control[J]. Br J Nutr, 2011, 106(3): 441-450. doi: 10.1017/S0007114511000328
    [40]
    DANESHMAND R, KURL S, TUOMAINEN T. Associations of serum n-3 and n-6 PUFA and hair mercury with the risk of incident stroke in men: the Kuopio Ischaemic Heart Disease Risk Factor Study (KIHD)[J]. Br J Nutr, 2016, 115(10): 1851-1859. doi: 10.1017/S0007114516000982
    [41]
    SÁNCHEZ-MACHADO D I, LÓPEZ-CERVANTES J, LÓPEZ-HERNÁNDEZ J, et al. Fatty acids, total lipid, protein and ash contents of processed edible seaweeds[J]. Food Chem, 2004, 85(3): 439-444. doi: 10.1016/j.foodchem.2003.08.001
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