近江牡蛎冻干组织糖原含量近红外模型的建立  

Establishment of Near-Infrared Model for Glycogen Content in Freeze-Dried Tissues of Jinjiang Oyster Crassostrea ariakensis

作　　者：王岩 吴彪[1,2] 刘志鸿[1,2] 陈夕 于涛[4] 王振原 孙秀俊 周丽青 郑言鑫 WANG Yan;WU Biao;LIU Zhihong;CHEN Xi;YU Tao;WANG Zhenyuan;SUN Xiujun;ZHOU Liqing;ZHENG Yanxin(Key Laboratory of Sustainable Development of Marine Fisheries,Ministry of Agriculture and Rural Affairs,Yellow Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Qingdao,Shandong 266071,China;Laboratory for Marine Fisheries Science and Food Production Processes,Pilot National Laboratory for Marine Science and Technology(Qingdao),Qingdao,Shandong 266071,China;National Demonstration Center for Experimental Fisheries Science Education,Shanghai Ocean University,Shanghai,201306;Long Island Breeding Experimental Station,Chinese Academy of Fishery Sciences,Yantai,Shandong 265800,China)

机构地区：[1]中国水产科学研究院黄海水产研究所,农业农村部海洋渔业可持续发展重点实验室,山东青岛266071 [2]青岛海洋科学与技术试点国家实验室海洋渔业科学与食物产出过程功能实验室,山东青岛266071 [3]水产科学国家级实验教学示范中心,上海海洋大学,上海201306 [4]中国水产科学研究院长岛增殖实验站,山东烟台265800

出　　处：《渔业科学进展》2023年第1期210-218,共9页Progress in Fishery Sciences

基　　金：国家重点研发计划项目(2018YFD0900104);中央级公益性科研院所基本科研业务费项目(2021XT01);山东省重大科技创新工程项目(2019JZZY020706)共同资助。

摘　　要：糖原直接影响牡蛎的风味和营养品质,常作为评价牡蛎品质质量的重要标准。近红外光谱(NIR)模型可以实现糖原含量的快速准确检测。本研究以近江牡蛎(Crassostrea ariakensis)为研究对象,采用微量蒽酮法、近红外技术分别获取了外套膜、鳃、闭壳肌、肝胰腺、唇瓣、性腺等6个组织及全软体部混样共909份样品的糖原含量及光谱数据,结合最小二乘法建立了近江牡蛎6个组织及全软体部的糖原含量预测模型,并对该模型进行了外部验证和交叉验证。结果显示,所测样品光谱数据经一阶求导、乘法散射校正及平滑预处理后,建立的模型最优;所建立的7个模型的建模相关系数(RC)为0.9716~0.9963,其外部验证相关系数(REV)及交叉验证相关系数(RCV)分别为0.9490~0.9908和0.9694~0.9969,且模型交叉验证和外部验证的RPD值均大于2.5,表明所建立的模型能准确预测近江牡蛎相应组织样品的糖原含量。本研究建立的近江牡蛎糖原含量NIR分析模型,不仅丰富了牡蛎糖原含量检测方法的研究资料,还为实现近江牡蛎糖原成分的快速、准确测定提供了技术支撑,在近江牡蛎品质性状改良等领域具有重要的应用价值。With the continuous improvement of living standards and expansion of oyster consumer groups,people are pursuing high-quality oysters,especially with fresh and sweet taste traits.At present,almost all varieties of oysters with different flavors entering the upscale oyster market in China are imported,and their prices are high.Before 2019,among the new oyster varieties approved in China,the dominant traits of most varieties were reflected in growth,shell color,etc.The oyster farming industry has also primarily focused on quantity but not quality,and the contradiction between scale and quality has become increasingly prominent.It can be predicted that with the development of the shellfish industry,the market demand for high shellfish quality will be more and diversified.In addition to pursing traditional traits such as growth rate,the demand for high-quality oysters,such as those with high glycogen,will be more urgent.Glycogen directly affects oysters’flavor and nutritional quality and is often used as an important criterion to evaluate oyster quality.The efficient,rapid,and high-throughput method for determining glycogen content can provide technical support for cultivating new shellfish species with a high glycogen content.At present,the detection methods for glycogen content are mainly traditional chemical detection techniques and kits.Although these methods have been well developed,they are time-consuming and costly,producing a significant amount of chemical waste liquid.Therefore,they are not suitable for rapid and batch determination of glycogen content in large quantities.As a common modern,fast,and efficient analysis technology,near-infrared(NIR)technology can record the frequency doubling and frequency absorption of the main hydrogen-containing groups using an NIR spectrometer.NIR technology can determine large quantities of samples and has the advantages of being fast and efficient,time-saving,and labor-saving,with no chemical waste liquid generation in the experimental process,offering green environment

关 键 词：近江牡蛎 近红外模型 冻干组织 糖原含量 

分 类 号：S911[农业科学—水产科学]