[Study of simplification of prediction model for kiwifruit firmness using near infrared spectroscopy].
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.
Lü
Qiang
Q
School of Food & Biological Engineering, Jiangsu University, Zhenjiang 212013, China. lvqiang1111@gmail.com
Tang
Ming-Jie
MJ
Zhao
Jie-Wen
JW
Cai
Jian-Rong
JR
Chen
Quan-Sheng
QS
D029042:Actinidia / Q000033:anatomy & histology*; D002138:Calibration; D005513:Food Inspection / Q000379:methods*; D005638:Fruit / Q000033:anatomy & histology*; D016018:Least-Squares Analysis; D015233:Models, Statistical; D013055:Spectrophotometry, Infrared