Analyses of Internal Physicochemical Properties of Tomatoes and Bananas Using Chemical Shift Imaging
Date Issued
2010
Date
2010
Author(s)
Cheng, Yu-Che
Abstract
This study developed an analytical method to detect the spatial changes of sugar and lycopene content in tomatoes and sugar content in bananas during ripening process by using CSI technique. An algorithm was developed to correct the image artifact due to field inhomogeneity, and thus to visualize the internal spatial distribution of sugar and lycopene content of the same tomatoes and sugar content of bananas before and after ripening. The experiments were performed to acquire tomato images with the same imaging parameters at mature green and red ripe stages and banana images on different days after ethylene treatment. The spatial distribution of sugar and lycopene content in tomatoes and sugar content in bananas were compared before and after ripening process.
After comparing the maximum PSNR, SNR, and linewidth of water phantom in 3T and 7T CSI data with the same imaging parameters, we found the imaging indexes in 7T CSI -- the maximum PSNR 3371, the maximum SNR 810, and the maximum linewidth 0.214 ppm -- are almost twice those in 3T CSI. This demostrates that CSI image quality in 7T is better than in 3T. On the other hand, when comparing the concentration of sugar solutions and CSI intensity, we found that a linear relationship exists between them. Using the linear relationship, the sugar content of tomatoes and bananas was quantitatively analyzed.
After comparing the sugar content and lycopene content in a tomato with CSI and HPLC analyses, the sugar content was found to have slightly decreased, and the lycopene content had increased after ripening process. We further compared the sugar content in bananas using CSI and HPLC analyses. The sugar content in the pulp quickly increased during the first 4 days after ethylene treatment, and there were little change in the peel. In this study, results from the CSI analyses of sugar and lycopene in tomato or banana fruits were consistent with that of the HPLC analyses. Therefore, the non-destructive CSI technique may become an efficient tool for physiological analyses in the future.
Subjects
Magnetic resonance imaging
Chemical shift imaging
Non-destructive analyses
HPLC
Type
thesis
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