[Analysis of NIR characteristic wavelengths for apple flesh firmness based on GA and iPLS].
In the present study, the fruit flesh firmness of apple was analyzed by near infrared (NIR) spectroscopy using an FT-NIR spectrometer. The sensitive spectral regions that provide the lowest prediction error were analyzed by different well-known variable selection methods, including dynamic backward interval partial least-squares (dynamic biPLS), sequential application of backward interval partial least-squares and genetic algorithm(dynamic biPLS & GA-PLS), and iterative genetic algorithm partial least-squares (iterative GA-PLS). Iterative GA-PLS, dynamic biPLS & GA-PLS led to a distinct reduction in the number of spectral data points with better predictive quality. Furthermore, the majority of selected wavelengths were content with the characteristic of the sorption bands of fruit flesh firmness. Pectin constituents, complex non-starch polysaccharides, which are related to texture change in apple, play an important role in their harvest maturity, ripening and storage. Comparing NIR characteristic wavelengths of apple flesh firmness and typical absorption bands for pectin, it was found that characteristic wavelengths of apple flesh firmness were consistent with the pectins relevant spectral regions. Therefore, the NIR characteristic wavelengths of apple firmness based on GA and iPLS reflected the chemical component of apple and the results were reasonable.
Tu
Zhen-Hua
ZH
College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China.
Ji
Bao-Ping
BP
Meng
Chao-Ying
CY
Zhu
Da-Zhou
DZ
Shi
Bo-Lin
BL
Qing
Zhao-Shen
ZS
D016018:Least-Squares Analysis; D027845:Malus / Q000737:chemistry*; D019265:Spectroscopy, Near-Infrared