Scientia Agricultura Sinica ›› 2015, Vol. 48 ›› Issue (22): 4529-4538.doi: 10.3864/j.issn.0578-1752.2015.22.013

• STORAGE·FRESH-KEEPING·PROCESSING • Previous Articles     Next Articles

Quantitative Analysis of T2 Peak Area and the MRI Images of Japonica Rice with Different Moisture Contents

SONG Wei, LI Dong-shen, QIAO Lin, SU An-xiang, HU Wan-jun   

  1. College of Food Science and Engineering/Collaborative Innovation Center for Modern Grain Circulation and Safety/Key Laboratory of Grains and Oils Quality Control and Processing, Nanjing University of Finance and Economics, Nanjing 210023
  • Received:2015-05-18 Online:2015-11-16 Published:2015-11-16

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Abstract: 【Objective】Moisture content is one of the main factors that influence the storage and drying of japonica rice, this study is mainly to discuss the mathematical relationship between the signal per mass and moisture content of japonica rice by extracting the MRI image grey value and fitting the mathematical equation of grey and moisture content which provide a new way for rapid moisture determination of japonica rice. 【Method】 The japonica rice moisture content was adjusted to 14.963%, 15.830%, 16.232%, 16.299%, 18.340%, 19.581%, 20.707%, 22.290%, and 24.259%, while data collection of japonica rice with different moisture content after equilibrium moisture content was based on low field NMR technology (LF-NMR). The qualitative inversion and imaging of the data was applied in low field NMR CONTIN program, and fitting the mathematical relationship between the moisture content and the peak of T21,T22 of Japonica rice. Acquiring the data of grey value of MRI image of japonica with different moisture contents by using MATLAB software, fitting the equation of grey value and moisture content, and explore the inner relationship of LF-NMR data and moisture content. 【Result】 Experimental research shows that, different inversion peak of japonica rice with different containing moisture of peak time is relatively stable, but with the increasing of moisture content, japonica rice moisture protons of degrees of freedom is increasing, and peak time slightly increases. To obtain the fitting equation of moisture content and low-field nuclear magnetic inversion peak T21 area by using the linear fitting method. The equation is y=0.0013x-2.0938 (r2=0.9984, P<0.01). The T22 peak of japonica rice which less than 16% is not appear. When japonica rice with higher moisture content, T22 peak area increases with the increase of moisture content, and has a significant correlation. The fitting equation is y=0.0082x+16.074 (r2=0.9817). The peak area of T23 decreased with the increase of moisture content in japonica rice. When the moisture content of Japonica rice increased, the average gray value image is decreasing. The average gray value of the image was analyzed and the regression equation was obtained which is y=-2.251x+42.712 (r2=0.861). The gray data of the image was collected, analyzed and built by R2014a MATLAB. We find that the low moisture content of gray level is higher than the high moisture content of gray level. However, under the same gray level, pixel gray of japonica rice with high moisture content appear frequency is higher than low moisture content of japonica rice, reflecting proton density and signal intensity of japonica rice with high moisture content is more uniform than the japonica rice with low moisture content which is proved that the distribution of moisture in japonica rice is not uniform when the moisture is too low. Combined with MRI images, the moisture of the rice was mainly concentrated in the embryo and back of the japonica rice, the high moisture content of japonica rice overall proton density and proton signal intensity is uniform and low moisture content of japonica rice of proton density and proton signals of uniform strength is poor. It is proved that the low moisture content of rice internal moisture distribution inhomogeneity, combined with MRI image shows low moisture content of japonica rice’s moisture mainly concentrated in the embryo and back, and high moisture content of japonica’s internal moisture distribution is more uniform. 【Conclusion】It has a high correlation between moisture contents and LF-NMR data of japonica rice. Rapid detection of moisture content of japonica rice and moisture distribution can be used LF-NMR technology, with japonica rice MRI image we can have a direct observation of Japonica rice moisture status.

Key words: japonica rice, LF-NMR, moisture content, peak area, grey level, storage

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