Jiang, L., Shen, Z., Zheng, H., He, W., Deng, G., Lu, H. (2013). Noninvasive Evaluation of Fructose, Glucose, and Sucrose ‎Contents in Fig Fruits during Development Using ‎ Chlorophyll Fluorescence and Chemometrics. , 15(2), 333-342.
L. Jiang; Z. Shen; H. Zheng; W. He; G. Deng; H. Lu. "Noninvasive Evaluation of Fructose, Glucose, and Sucrose ‎Contents in Fig Fruits during Development Using ‎ Chlorophyll Fluorescence and Chemometrics". , 15, 2, 2013, 333-342.
Jiang, L., Shen, Z., Zheng, H., He, W., Deng, G., Lu, H. (2013). 'Noninvasive Evaluation of Fructose, Glucose, and Sucrose ‎Contents in Fig Fruits during Development Using ‎ Chlorophyll Fluorescence and Chemometrics', , 15(2), pp. 333-342.
Jiang, L., Shen, Z., Zheng, H., He, W., Deng, G., Lu, H. Noninvasive Evaluation of Fructose, Glucose, and Sucrose ‎Contents in Fig Fruits during Development Using ‎ Chlorophyll Fluorescence and Chemometrics. , 2013; 15(2): 333-342.

Noninvasive Evaluation of Fructose, Glucose, and Sucrose ‎Contents in Fig Fruits during Development Using ‎ Chlorophyll Fluorescence and Chemometrics

Journal of Agricultural Science and Technology
Article 14, Volume 15, Issue 2, 2013, Pages 333-342    PDF (815.24 K)
Authors
L. Jiang1; Z. Shen2; H. Zheng1; W. He1; G. Deng1; H. Lu* 1
1College of Chemistry and Life Science, Zhejiang Normal University, Jinhua 321004, China.‎
2Department of Biological and Food Engineering, Changshu Institute of Technology, Changshu, Jiangsu ‎‎215500, China.‎
Abstract
The use of chlorophyll fluorescence (ChlF) technique was evaluated on nondestructive measurement of sugar content during fruit development. Multivariate models, principal component analysis (PCA), and partial least-squares regression (PLSR), were developed for the classification and prediction of fructose, glucose, and sucrose in fig fruits. The results of this study showed a significant correlation between fluorescence parameters and sugar content during fruit development. The PCA-ChlF can be used as a fast screening method for discriminating the degree of maturity based on sugar content. In addition, the root mean squared error (RMSE) and coefficient of determination (R2) of PLSR-ChlF for predicting sugar content were 2.01 g 100 g-1 DW and 0.96 for fructose, 1.03 g 100 g-1 DW and 0.99 for glucose, and 0.17 g 100 g-1 DW and 1.00 for sucrose, respectively. Therefore, ChlF combined with chemometrics may be a potential tool to nondestructively evaluate sugar accumulation in not only fig fruits, but also any other chlorophyll-containing fruit during development.
Keywords
Fluorescence parameter; Ficus carica L; maturity; PLSR; Sugar.‎
References
Statistics
Article View: 133
PDF Download: 83
Statistics
Number of Journals45
Number of Issues2,171
Number of Articles24,674
Article View24,448,463
PDF Download17,555,318