Discrimination of Brownheart and Watercore of Apples Based on Energy Spectrum of Visible/Near Infrared Transmittance
WANG Jia-hua1,SUN Xu-dong2,PAN Lu1,SUN Qian1,HAN Dong-hai1*
1. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China 2. College of Engineering,China Agricultural University, Beijing 100083, China
Abstract:It is urgent to develop a quick and precise method for the discrimination of the internal quality of apple. Vis/NIR spectroscopy combined with multivariate analysis after the appropriate spectral data pre-treatment has been proved to be a very powerful tool for judgment of objects that have very similar exterior properties. In the present study, peak area discriminant analysis (PADA), principal component analysis discriminant analysis (PCADA) and partial least squares discriminant analysis (PLSDA) were applied to classify apples with different internal properties such as brownherat and watercore. Energy spectra were processed using MSC or one-order derivative, and three models using PADA, PCADA and PLSDA were built, respectively. The accuracy rates of prediction for brownheart apple were 100%, for watercore apple were 79.6%, 95.0% and 96.7%, and for natural apple were 88.4%, 98.2% and 98.8%, respectively. The PLSDA model was better than the others remarkably. And the overall correct ratio of PLSDA was 98.1%, with RMSEC=0.449 and RMSEP=0.392. The results in the present study show that Vis/NIR spectroscopy together with chemometrics techniques could be used to differentiate brownheart and watercore apple, which offers the benefit of avoiding time-consuming, costly and sensory analysis.
Key words:Visible/near infrared;Energy spectrum;Discrimination;Brownheart apple;Watercore apple
王加华1,孙旭东2,潘璐1,孙谦1,韩东海1*. 基于可见/近红外能量光谱的苹果褐腐病和水心鉴别[J]. 光谱学与光谱分析, 2008, 28(09): 2098-2102.
WANG Jia-hua1,SUN Xu-dong2,PAN Lu1,SUN Qian1,HAN Dong-hai1*. Discrimination of Brownheart and Watercore of Apples Based on Energy Spectrum of Visible/Near Infrared Transmittance. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2008, 28(09): 2098-2102.
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