Abstract

Nuclear Magnetic Resonance (NMR) and Magnetic Resonance Imaging (MRI) techniques are widely used in food science, mainly because they are non-invasive techniques. MRI, as a non-destructive technique, allows the study of intact samples and without any preparation of the samples before analysis. In food processing, the monitoring of distribution and water content is a consolidated analysis technique, frequently used on the market in order to preserve appropriate nutritional and health characteristics of food according to quality standards. In a food matrix, the variation of the water content is related to the changes in the internal structure and in the physico-chemical properties that occur during the transformation process. In this study MRI technique is used to evaluate the variation of the water content as a function of the drying time. Pumpkin samples are analyzed at four different drying temperatures of 50, 60, 65, and 70°C. The transverse relaxation time, T2, is used to assess the hydration level of the samples by comparing the information extracted from MR images with the drying kinetics measured by gravimetric method. Moreover, T2 maps are used to correlate the change in water distribution with the change in T2 values. The results show that the global weight loss curves obtained with the standard gravimetric method and with the MRI data are in excellent agreement. This work indicates that monitoring changes in the T2 profile of food (i.e., pumpkin) is a useful method for evaluating moisture profiles and changes induced on the sample during the drying process.

Highlights

  • Magnetic Resonance Imaging (MRI) has been widely used in food science (Hills, 1998)

  • In previous works (Adiletta et al, 2014; Proietti et al, 2018), we studied the capacity of non-destructive and non-invasive techniques such as the Magnetic Resonance Imaging (MRI) and portable Nuclear Magnetic Resonance (NMR), to optimize the drying process of eggplants and pears, respectively

  • We demonstrated that T2 relaxation time can be an excellent parameter for monitoring changes in moisture content during the drying process of pumpkin samples

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Summary

Introduction

MRI can provide detailed information based on a significant number of NMR characteristic parameters such as proton density (PD), transversal relaxation time (T2), and/or longitudinal relaxation Time (T1). These parameters are intrinsic properties of the samples; in general, the images have relative contrast to one of these parameters depending on what is to be displayed. It is possible to obtain maps, in which each pixel contains information not about the signal strength, but about relaxation time T1 or T2 These maps can be obtained by acquiring MR image series with different T1 or T2 weighting levels

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