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外光谱法快速测定仿刺参品质相关指标的研究

  

  1. (1 上海海洋大学,水产科学国家级实验教学示范中心,上海水产养殖工程技术研究中心,上海 201306;
    2 山东省海洋资源与环境研究院,山东省海洋生态修复重点实验室,山东 烟台 264006;
    3 鲁东大学农学院,山东 烟台 264025)
  • 出版日期:2020-06-20 发布日期:2020-09-16
  • 通讯作者: 孙国华(1979—),女,研究员,研究方向:海洋生物增养殖与遗传育种。E-mail: sgh_smile@163.com.
  • 作者简介:陈梦(1993—),女,硕士研究生,研究方向:海洋生物增养殖与利用。E-mail: ccm4782010@163.com, Tel: 13515143956.
  • 基金资助:
    国家自然科学基金(31602144);山东省现代农业产业技术体系(SDAIT-22-02);科技部重点研发计划(2018YFD0901602)

Study on rapid determination of quality indexes of Apostichopus japonicus by near infrared spectroscopy#br#

  1. (1 Shanghai Ocean University, National Demonstration Center for Experimental Fisheries Science Education,
    Shanghai Engineering Research Center of Aquaculture, Shanghai 201306, China;
    2 Shandong Marine Resource and Environment Research Institute, Shandong Provincial Key Laboratory of Restoration for Marine Ecology, Yantai 264006, China;
    3 College of Agriculture, Ludong University, Yantai 264025, China)
  • Online:2020-06-20 Published:2020-09-16

摘要: 应用近红外光谱技术建立仿刺参3种组分的快速定量模型,收集475个仿刺参(Apostichopus japonicus)样品,以蛋白质、锌和硒3种成分指标为代表,采用便携式NIR光谱仪MicroNIR1700(JDSU, USA)扫描得到仿刺参个体干样3种成分的近红外光谱数据,在全光谱区间建立PLS定量分析模型。结果显示:蛋白质模型的预测决定系数(Rp2)、相对分析误差(RPD)分别为0.904、3.22,模型可用于大量样品快速检测应用。锌、硒模型的Rp2分别为0.498和0.526,RPD分别为1.41和1.96,表明锌、硒模型效果不理想,需要进一步优化。本研究初步建立了仿刺参干样样品蛋白质、锌、硒定量分析模型,进行了仿刺参干样多种品质相关指标同时快速测定方法的探索,可为仿刺参养殖品质性状筛选和刺参消费市场产品质量管控提供方法和依据。

关键词: 仿刺参, 近红外光谱分析技术, 偏最小二乘法, 蛋白质, 锌,

Abstract: A rapid quantitative model of 3 components of Apostichopus japonicus was established by using near infrared spectroscopy to collect 475 A. japonicus samples. With protein, Zn and Se as representative indicators, the portable NIR spectrometer MicroNIR1700 (JDSU, USA) was used for scanning to obtain the near infrared spectrum data of 3 components in the dry A. japonicus samples and establish PLS quantitative analysis model in full spectral range. The results showed that the protein model, with predictive decision coefficient (Rp2) of 0.904 and relative percent deviation (RPD) of 3.22, could be used to quickly detect a large number of samples. Zn and Se models, respectively with Rp2 of 0.498 and 0.526 and RPD of 1.41 and 1.96, were not ideal and should be further optimized. This study preliminarily established the quantitative analysis model of protein, Zn and Se in dry A. japonicus samples, explored the methods for quick determination of quality indexes of dry A. japonicus samples, and could provide method and basis for the screening of quality traits in breeding of A. japonicus and the quality control of products in consumer market.

Key words: Apostichopus japonicus, near infrared spectroscopy, partial least squares, protein, Zn, Se