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Rapid recognition of marine fish surimi by one-step discriminant analysis based on near-infrared diffuse reflectance spectroscopy

机译:基于近红外漫反射光谱的一步判别分析快速识别海水鱼糜

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A rapid and nondestructive near-infrared diffuse reflectance spectroscopy method combined with multivariate analysis was developed to discriminate different species and grades of marine fish surimi. Principal component analysis and discriminant analysis were applied to classify the species and quality grades of surimi. The results showed that excellent classification was obtained after optimizing spectral pretreatment. For the discrimination of three species of surimi, the correct classification rate of the calibration as well as the validation datasets were 98.5% and 100%, respectively, using the discriminant analysis method after multiplicative scatter correction pretreatment. For four grades of surimi, discriminant analysis provided 98.9% and 100% correct classification rate for calibration and validation datasets, respectively, after multiplicative scatter correction pretreatment. It was demonstrated that near-infrared diffuse reflectance spectroscopy integrated with discriminant analysis had significant potential as a rapid and accurate approach for rapid discrimination of surimi species and grades.
机译:建立了一种快速,无损的近红外漫反射光谱法和多元分析相结合的方法,以区分不同种类和等级的海水鱼鱼糜。应用主成分分析和判别分析对鱼糜的种类和质量等级进行分类。结果表明,优化光谱预处理后可获得良好的分类效果。为了区分三种鱼糜,使用乘积散射校正预处理后的判别分析方法,校正的正确分类率和验证数据集的正确率分别为98.5%和100%。对于四个等级的鱼糜,在进行分散散射校正预处理后,判别分析分别为校准和验证数据集提供了98.9%和100%的正确分类率。结果表明,结合判别分析的近红外漫反射光谱法作为快速准确地识别鱼糜种类和等级的方法具有巨大的潜力。

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