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作 者:孟一[1] 张玉华[1,2] 许丽丹[1,2] 陈东杰[1,2] 张咏梅[1] 张应龙[1,2]
机构地区:[1]山东商业职业技术学院,山东省农产品贮运保鲜技术重点实验室,山东济南250103 [2]国家农产品现代物流工程技术研究中心,山东济南250103
出 处:《食品工业科技》2014年第11期282-287,共6页Science and Technology of Food Industry
基 金:国家科技支撑计划(2013BAD19B02);山东省优秀中青年科学家科研奖励基金(BS2011NY020)
摘 要:研究了近红外漫反射和漫透射两种方式以及鱼糜和整鱼两种形态对带鱼新鲜度检测结果的影响。利用积分球漫反射系统采集4000~10000cm-1范围内的带鱼鱼糜漫反射、漫透射和整鱼漫反射光谱,根据训练集交叉验证均方差(RMSECV)及相关系数r对建模参数进行优化,分别建立了挥发性盐基氮(TVBN)、pH和菌落总数的偏最小二乘(PLS)定量检测模型。根据模型对预测集样品的预测均方差(RMSEP)及其相关系数r以及配对t-检验验证模型的预测能力。结果表明,所建模型对带鱼新鲜度的预测性能均良好。但近红外漫反射与漫透射两种光谱采集方式相比,前者所建模型的预测能力高于后者。采用漫反射光谱时,鱼糜模型的预测能力高于整鱼。因此,检测带鱼新鲜度时宜采用鱼糜的漫反射光谱。The effect on the ribbonfish freshness detection results was studied using diffuse reflection and diffuse transmission of NIR,and minced and complete ribbonfish.The diffuse reflection and diffuse transmission spectrum of minced ribbonfish and the diffuse reflection spectrum of complete ribbonfish were collected respectively using integrating sphere diffuse system in the range of 4000 ~ 10000cm^-1 .The model parameters were optimized according to the cross-validation mean square error (RMSECV)of training set and the correlation coefficient r.Quantitative detection models of total volatile basic nitrogen (TVBN), pH and total number of colonies were established respectively by partial least squares(PLS).Predictive ability of the models were verified by prediction mean square error (RMSEP), correlation coefficient r and paired t- test.Results showed that prediction performance of the models for the determination of the freshness of ribbonfish was good.But near infrared diffuse reflection compared with diffuse transmission, the prediction ability of the former was higher than the latter.The models prediction ability of minced ribbonfish was higher than that of the complete ribbonfish when using diffuse reflection spectrum.Therefore, diffuse reflection spectrum of minced ribbonfish was appropriate when testing ribbonfish freshness.
关 键 词:近红外漫反射光谱 近红外漫透射光谱 TVBN pH 菌落总数 PLS
分 类 号:TS254.7[轻工技术与工程—水产品加工及贮藏工程]
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