Xinpei Wang1, Jichang Zhang1, Zhen Nan1, Pengfei Xu1, Richard Bowtell2, and Chengbo Wang1
1Faculty of Science and Engineering, University of Nottingham Ningbo China, Ningbo, China, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, The University of Nottingham, Nottingham, United Kingdom
Synopsis
Diffusion-weighted magnetic resonance imaging
(DW-MRI) was used to measure and predict total soluble solids (TSS, unit: °Brix) of fruits
noninvasively. The results demonstrated that mean apparent diffusion
coefficient (ADC) in fruits was strongly correlated with TSS of fruit juice (R ≥ 0.92 and p ≤ 1.51E-4). DW-MRI shows great potential for future
commercial implementation of fruit quality evaluation.
Introduction
The measurement of total soluble solids (TSS, unit: °Brix) is essential for evaluating the quality of
fruit.1 In several studies,
non-destructive prediction of TSS has been performed using near-infrared (NIR)
spectroscopy as well as MRI. 2-5 However, the thick rind of
fruit has been reported to decrease the accuracy of NIR spectroscopy measurement
owing to the limited penetration depth of NIR radiation.6 We hypothesized that the diffusion coefficient
will decrease with the increased viscosity in sugar solutions or fruits, which
can be measured by diffusion-weighted
magnetic resonance imaging (DW-MRI) and DW-MRI-based diffusion measurements can consequently be used as an indirect measure of TSS. In this work, we therefore applied DW-MRI to investigate the correlation between TSS (°Brix) and apparent diffusion coefficient (ADC) in sugar solutions and fruits. Methods
DW-MRI was carried out on 11 bottles containing different sugar solutions, 28 Fujiminori grapes (local farm, Yuyao,
China) , 9 citruses with thick rind (tumut citrus 3107, Australia), and 12
local Cuiguan pears (local farm, Ningbo, China) on a 1.5T XGY scanner (Superscan-1.5T,
XGY, China). Sugar solutions contained 550ml water and different amounts of dissolved sucrose. All fruits and sugar solutions were placed in the scanner
room before the experiments with the same temperature of 23.0±1.0 degree for at least 12 hours. A pulsed gradient spin echo (PGSE), echo
planar diffusion weighed sequence was used to produce DW source images, Trace DW
images and ADC maps.7,8 The parameters included TR/TE = 10000/92 ms, slice thickness = 6 mm, FOV =
240*240 mm2, matrix = 256*256, b-value = 1000 s/mm2 . For image analysis in MATLAB (The MathWorks, USA), fruit regions excluding rind and seeds were selected manually as regions of
interest (ROI) and the mean ADC in the ROI was calculated. After imaging, a MA871
Digital Brix refractometer (Milwaukee Electronics kft., Hungary) was used to
estimate the TSS (°Brix) from the sugar solution or the juice squeezed immediately
from each sample. A linear regression analysis with 4 groups of samples was performed separately to produce the below equation: y = a*x + b, where a is the slope and b is the intercept. The root
mean squared prediction error (RMSPE) was calculated for each sample group.Results
Figure 1 shows RGB image of one citrus fruit on a cut
section (A), DW source image (B: b = 0 s/mm2), Trace DW image (C:
b = 1000 s/mm2) and ADC map (D). The linear regression analysis demonstrated that the mean
ADC was strongly correlated with the measured TSS (°Brix) for every sample type, as shown in Figure 2 and Table 1: 11 sugar solutions ( R = 0.99, P = 4.38E-09, RMSPE = 0.70); 28 grapes (R = 0.92,
P = 7.06E-12, RMSPE = 0.33); 9 citruses (R = 0.94, P = 1.51E-04, RMSPE = 0.29) and 12
pears (R = 0.96, P = 1.09E-06, RMSPE = 0.21). Also, the slopes and the intercepts with corresponding standard error of the fitting curves were summarized in Table 1.Discussion
Our results have
demonstrated that mean ADC of sugar solutions and selected fruits is strongly
correlated with the measured TSS (°Brix) ( R ≥ 0.92 and p ≤ 1.51E-04).
Quite interestingly, we observed that the slope of the fitted curve for
different sample types is quite similar (-19.25~-20.95) as shown in Figure
2. A reasonable guess is that the slope is controlled by the viscosity of the
sucrose solution while the intercept is mainly influenced by the hardness of
samples due to different cellular environments. For our knowledge, this is the
first study which has shown that ADC can serve as a marker of TSS and further
can be used to evaluate the quality of fruit non-invasively.
Conclusion
We proposed and demonstrated a novel non-destructive method to estimate TSS
(°Brix) using ADC measured by DW-MRI.
Furthermore, DW-MRI can be a powerful tool for internal quality measurement of
fruit with thick rind (citrus). Acknowledgements
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