Use of High-Resolution X-Ray Micro-Computed Tomography for the Analysis of Internal Structural Changes in Maize Infected with Fusarium verticillioides

• Published in: Food analytical methods 2017-09, Vol.10 (9), p.2919-2933
• Main Authors: Orina, Irene, Manley, Marena, Williams, Paul J.
• Format: Article
• Language: English
• Subjects: Agricultural practices; Agronomy; Analytical Chemistry; Attenuation; Chemistry; Chemistry and Materials Science; Chemistry/Food Science; Computation; Computed tomography; Corn; Dimensional analysis; Endosperm; Food; Food processing; Food Science; Fungi; Fusarium; High resolution; Histograms; Infections; Kernels; Microbiology; Nondestructive testing; Structural damage; Void space; Voids
• ISSN: 1936-9751; 1936-976X
• DOI: 10.1007/s12161-017-0831-4

X-ray micro-computed tomography (X-ray micro-CT) is a non-destructive, three-dimensional (3D) imaging and analysis technique for the investigation of internal structure of a large variety of materials, including agricultural produce. As a relatively new method in the field of food science, X-ray micro-CT has been applied successfully to obtain micro-structural information of foods undergoing different physical and chemical changes. In this study, high-resolution X-ray micro-CT was used for non-destructive analysis of the internal structure of maize kernels infected with Fusarium verticillioides. The major anatomical features of the maize kernel were identified based on their differences in X-ray attenuation, i.e. the germ, scutellum, vitreous and floury endosperm. Fungal infection caused changes in the internal structure of the kernels over time, which included a decrease in total kernel volume and an increase in total volume of void space, with more voids observed in the germ and floury endosperm regions. No significant ( P  > 0.05) difference was observed between the control and the infected kernels; it was apparent that the changes observed in the infected kernels were not solely as a result of fungal growth. The grey level histograms of the control and infected kernels shifted to the lower grey value intensity range over time indicating an increase in void space within the kernels. In the 3D images, the increase in total volume of void space with fungal progression was clearer and the effect of fungal damage on the internal structure was evident.