[Study on predicting firmness of watermelon by Vis/NIR diffuse transmittance technique].
Watermelon is a popular fruit in the world and firmness (FM) is one of the major characteristics used for assessing watermelon quality. The objective of the present research was to study the potential of visible/near Infrared (Vis/NIR) diffuse transmittance spectroscopy as a way for the nondestructive measurement of FM of watermelon. Statistical models between the spectra and FM were developed using partial least square (PLS) and principle component regression (PCR) methods. Performance of different models was assessed in terms of correlation coefficients (r) of validation set of samples and root mean square errors of prediction (RMSEP). Models for three kinds of mathematical treatments of spectra (original, first derivative and second derivative) were established. Savitsky-Goaly filter smoothing method was used for spectra data smoothing. The PLS model of the second derivative spectra gave the best prediction of FM, with a correlation coefficient (r) of 0. 974 and root mean square errors of prediction (RMSEP) of 0. 589 N using Savitsky-Goaly filter smoothing method. The results of this study indicate that NIR diffuse transmittance spectroscopy can be used to predict the FM of watermelon. The Vis/NIR diffuse transmittance technique will be valuable for the nandestructive detection large shape and thick peel fruits'.
Tian
Hai-Qing
HQ
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
Ying
Yi-Bin
YB
Lu
Hui-Shan
HS
Xu
Hui-Rong
HR
Xie
Li-Juan
LJ
Fu
Xia-Ping
XP
Yu
Hai-Yan
HY
D000465:Algorithms; D002138:Calibration; D029773:Citrullus / Q000737:chemistry*; D005638:Fruit / Q000737:chemistry* / Q000592:standards; D016018:Least-Squares Analysis; D015233:Models, Statistical; D025341:Principal Component Analysis; D012044:Regression Analysis; D013053:Spectrophotometry / Q000295:instrumentation / Q000379:methods*; D019265:Spectroscopy, Near-Infrared / Q000295:instrumentation / Q000379:methods*