Using GA-DOSC Method to Eliminate Interference of Peel with Prediction of Apple Firmness Based on Near Infrared Diffuse Reflection Spectra
SHI Bo-lin1,2,QING Zhao-shen1,JI Bao-ping1*,TU Zhen-hua1,ZHU Da-zhou1,YIN Jing-yuan2
1. College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China 2. School of Communication and Information Engineering, Shanghai University, Shanghai 200072, China
Abstract：In the present work, “Fuji” apples from Shandong Yantai were used to take the diffuse reflection spectra by FT-NIR. PLS components (i.e., factors) were computed by nonlinear iterative partial least squares (NIPALS) and the number of latent factors (LV) was optimized by a leave-one-out cross-validation procedure on the calibration set. On the basis of partial least square (PLS) regression, the models for apples’ firmness before and after peeling were compared. In order to eliminate the effect of apple peel on prediction, spectral pretreatments such as multiplicative scatter correction (MSC), derivative, direct orthogonal signal correction (DOSC) and wavelengths selection based on genetic algorithms (GA) were used. Finally, the results of different spectral treatments were compared. In conclusion, the RSDp of models for apples before and after peeling was 16.71％ and 12.36%, respectively, suggesting that the apple peel played a negative role in constructing good predictive models. Moreover, the traditional spectral pretreatments (such as MSC, derivative) can hardly resolve the problem. In this research, GA-DOSC played an important role in reducing the interference of apple peel. It not only reduced the wavelength variables from 1480 to 36, but also reduced the latent variables from 5 to 1. The correlation coefficient (r) was improved from 0.753 to 0.805, and the RMSECV and RMESP were reduced from 1.019 kgf·cm-2 and 1.197 kgf·cm-2 to 0.919 kgf·cm-2 and 0.924 kgf·cm-2,respectively. Especially, the RSDp was decreased remarkably from 16.71% to 12.89%. The performance of the model after GA-DOSC treatment was similar to the model using spectra of apple flesh (12.36%). It was concluded that the prediction precision based on GA-DOSC satisfied the requirement of NIR non-destruction determination of apples firmness.
Key words：Near infrared diffuse reflection spectra;Apple;Firmness;Peel;Genetic algorithms;Direct orthogonal signal correction
史波林1,2,庆兆珅1,籍保平1*,屠振华1,朱大洲1,尹京苑2 . 应用GA-DOSC算法消除果皮影响近红外漫反射光谱分析苹果硬度的研究[J]. 光谱学与光谱分析, 2009, 29(03): 665-670.
SHI Bo-lin1,2,QING Zhao-shen1,JI Bao-ping1*,TU Zhen-hua1,ZHU Da-zhou1,YIN Jing-yuan2 . Using GA-DOSC Method to Eliminate Interference of Peel with Prediction of Apple Firmness Based on Near Infrared Diffuse Reflection Spectra . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2009, 29(03): 665-670.
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