| 光谱学与光谱分析 |
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| Study of Simplification of Prediction Model for Kiwifruit Firmness Using Near Infrared Spectroscopy |
| Lü Qiang, TANG Ming-jie, ZHAO Jie-wen, CAI Jian-rong*, CHEN Quan-sheng |
| School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China |
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Abstract To simplify the prediction model of kiwifruit firmness, SNV was used to preprocess the near infrared(NIR)spectra (1 000-2 500 nm)of kiwifruit. PLS model simplification by optimizing spectral intervals and decreasing the number of factors through net analyte preprocessing(NAP)was carried out. Results showed that the performance of NAP/PLS model is the best. It was achieved with 5 factors in five wavenumber ranges(5 189-5 370, 4 549-4 620, 6 049-6 230, 6 999-7 730, and 6 249-6 614 cm-1). The optimal model was achieved with R2=0.819 41 and RMSECV=0.701 77 in the calibration set and R2=0.780 67 and RMSEP=0.882 71 in the prediction set. This indicates that the model not only may efficiently simplify PLS model, but also may improve precision and predictive ability.
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Received: 2008-05-10
Accepted: 2008-08-20
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Corresponding Authors:
CAI Jian-rong
E-mail: jrcai@ujs.edu.cn
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