首页|应用近红外光谱技术评价冰鲜大黄鱼新鲜度的研究

应用近红外光谱技术评价冰鲜大黄鱼新鲜度的研究

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水产品的新鲜程度是评价其品质优劣的重要指标，传统的评价方法费时、费力，无法满足实际的需求。本实验采用近红外光谱分析技术（NIRS）对冰鲜大黄鱼（Pseudosciaena crocea）不同贮藏时间下的新鲜度进行评价，以挥发性盐基氮（T VB-N ）作为新鲜度的评价指标，比较了不同预处理方法单独或联合使用、不同建模方法以及不同波数范围所建模型定标集与验证集的相关系数与标准偏差，构建了最优市售冰鲜大黄鱼TVB-N定量模型，以期快速预测其新鲜度。研究表明，使用趋近归一化结合一阶导数（Ncl ＋ Db1）和单位长度归一化结合一阶导数（Nle ＋ Db1）作为光谱预处理方法，偏最小二乘法（PLS ）作为建模方法以及选择波数范围5000～7144 cm -1，7404～10000 cm -1时可以达到最佳建模效果，其定标集相关系数为0.992，校正标准偏差（SEC）为1.045，验证集相关系数为0.999，预测标准偏差（SEP）为0.990。本试验尝试将多种光谱预处理方法结合起来使用并对波数范围进行了筛选，得到的模型效果良好，在大黄鱼新鲜度检测及品质评价方面具有较好的市场应用前景。
Study on Freshness Evaluation of Ice-Stored Large Yellow Croaker (Pseudosciaena Crocea) Using Near Infrared Spectroscopy
Near infrared spectroscopy (NIR) was used in this experiment to evaluate the freshness of ice-stored large yellow croaker (pseudosciaena crocea) during different storage periods .And the TVB-N was used as an index to evaluate the freshness . Through comparing the correlation coefficent and standard deviations of calibration set and validation set of models established by singly and combined using of different pretreatment methods ,different modeling methods and different wavelength region ,the best TVB-N models of ice-stored large yellow croaker sold in the market were established to predict the freshness quickly .Ac-cording to the research ,the model shows that the best performance could be established by using the normalization by closure (Ncl) with 1st derivative (Db1) and normalization to unit length (Nle) with 1st derivative as the pretreated method and partial least square (PLS) as the modeling method combined with choosing the wavelength region of 5 000~7 144 ,and 7 404~10 000 cm -1 .The calibration model gave the correlation coefficient of 0.992 ,with a standard error of calibration of 1.045 and the vali-dation model gave the correlation coefficient of 0.999 ,with a standard error of prediction of 0.990 .This experiment attempted to combine several pretreatment methods and choose the best wavelength region ,which has got a good result .It could have a good prospective application of freshness detection and quality evaluation of large yellow croaker in the market .

Near infrared spectroscopyIce-stored Pseudosciaena croceaFreshnessTotal volatile basic nitrogen

刘源、陈伟华、侯巧娟、王锡昌、董若琰、吴浩

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上海海洋大学食品学院，上海水产品加工及贮藏工程技术研究中心，上海 201306

近红外光谱技术 冰鲜大黄鱼 新鲜度 挥发性盐基氮

国家自然科学基金国家“十二五”科技计划课题上海市科委工程中心建设项目上海市教委重点学科建设项目上海高校知识服务平台上海海洋大学水产动物遗传育种中心项目

309011252012BAD28B0111DZ2280300J50704ZF1206

2014

10.3964/j.issn.1000-0593(2014)04-0937-05

光谱学与光谱分析
中国光学学会

光谱学与光谱分析

CSTPCDCSCD北大核心SCIEI
影响因子：0.897
ISSN：1000-0593
年,卷(期)：2014.(4)
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