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

Zhang, Xian-Yi, Hu, Wei, Teng, Jing, Peng, Huan-Huan, Gan, Jian-Hong, Wang, Xi-Chang, Sun, Su-Qin, Xu, Chang-Hua, Liu, Yuan
International journal of food properties 2017 v.20 no.12 pp. 2932-2943
data collection, discriminant analysis, marine fish, multivariate analysis, principal component analysis, reflectance spectroscopy, surimi
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.