[Application of NIR quantitative analysis to nondestructive detection of loquat soluble solid content].
The objective of the present research was to evaluate the potential of NIR diffuse reflectance spectroscopy as a way for nondestructive measurement of loquat soluble solid content of three varieties harvested from two orchards. According to the analysis, it was shown that the correlation coefficient of curves was relatively high in the two regions of 1400-1500 nm and 1900- 2000 nm. Statistical models were developed using partial least square regression (PLSR), stepwise multiple linear regression (SMLR) and principal component regression (PCR) methods in the full spectral region from 800 to 2500 nm and in the combined region of 1400-1500 nm and 1900-2000 nm. The results of PLSR model in the full spectral region were better than those of other models. The modeling results based on derivative spectra were not as good as those based on original spectra. Finally, a model was established based on the original spectra with 17 points smoothing for all the three varieties in the full spectral region by PLSR method. The correlation coefficients of calibration and validation were 0.96 and 0.95, respectively. The results indicate that it is feasible to use NIR spectroscopy technique for quantitative analysis of loquat soluble solid content.
Li
Jian-Ping
JP
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China.
Fu
Xia-Ping
XP
Zhou
Ying
Y
Ying
Yi-Bin
YB
Xie
Li-Juan
LJ
Niu
Xiao-Ying
XY
Yan
Zhan-Ke
ZK
Yu
Hai-Yan
HY
D000465:Algorithms; D002138:Calibration; D031983:Eriobotrya / Q000737:chemistry*; D005638:Fruit / Q000737:chemistry*; D016018:Least-Squares Analysis; D015233:Models, Statistical; D010936:Plant Extracts / Q000032:analysis* / Q000737:chemistry; D025341:Principal Component Analysis; D012044:Regression Analysis; D012995:Solubility; D019265:Spectroscopy, Near-Infrared / Q000379:methods*
D010936:Plant Extracts