CAJ | 학술논문

目的建立针对淡水鱼整鱼鱼体新鲜度的快速无损检测方法.方法通过比较不同的光谱与相应挥发性盐基氮(TVB-N)值的建模结果,以及对比分析竞争性自适应重加权算法(CARS)、遗传算法(GA)及连续投影算法(SPA)三种特征波长选择方法对模型的优化结果,对鱼鳞及光谱采集部位等影响因素进行研究.结果鱼体有鳞时的尾部为最佳新鲜度检测部位.CARS 法较优且鱼体新鲜度检测的最优波段为800~1100 nm,采用CARS 特征波长选择方法选择出23个波长变量重新建立 PLS 模型,模型预测集相关系数 RP=0.957,预测均方根误差 RMSEP=0.589 mg/100 g.利用 CARS 方法选择的23个波长变量对淡水鱼进行新鲜度评价,准确率达96.67%.结论该方法为淡水鱼整鱼新鲜度快速无损检测提供了一种有效的方法.
목적건립침대담수어정어어체신선도적쾌속무손검측방법.방법통과비교불동적광보여상응휘발성염기담(TVB-N)치적건모결과,이급대비분석경쟁성자괄응중가권산법(CARS)、유전산법(GA)급련속투영산법(SPA)삼충특정파장선택방법대모형적우화결과,대어린급광보채집부위등영향인소진행연구.결과어체유린시적미부위최가신선도검측부위.CARS 법교우차어체신선도검측적최우파단위800~1100 nm,채용CARS 특정파장선택방법선택출23개파장변량중신건립 PLS 모형,모형예측집상관계수 RP=0.957,예측균방근오차 RMSEP=0.589 mg/100 g.이용 CARS 방법선택적23개파장변량대담수어진행신선도평개,준학솔체96.67%.결론해방법위담수어정어신선도쾌속무손검측제공료일충유효적방법.
@@@@Objective To establish a method to evaluate the freshness of freshwater fish in a quick, non-destructive and accurate way. Methods Fish scales and different spectra collection positions were inves-tigated by comparison of the modeling results by different spectra and their total volatile basic nitrogen (TVB-N), and comparison of the optimized results by different wavelength variable selection algorithms, such as competitive adaptive reweighed sampling (CARS), genetic algorithm (GA) and successive projections algo-rithm (SPA) Results The results showed that fish with scales were more suitable for evaluating freshness than fish without scales and the best position for fish freshness assessment was the tail region. CARS gave the best performance and the best waveband for fish freshness evaluation was 800~1100 nm. Using the 23 wavelength variables selected by CARS to build partial least square regression (PLS) models, a better result of Rp (0.957) and RMSEP(0.589 mg/100 g) was obtained. When using these wavelength variables to discriminate fish fresh-ness qualitatively, the accuracy was 96.67%. Conclusion The study showed that near-infrared (NIR) spec-troscopy is a new method for non-destructive and quickly freshwater fish freshness evaluation.