Microstructural Approach Application for Morphological Change Determinations of Grapes during Drying
Article
Article Title | Microstructural Approach Application for Morphological Change Determinations of Grapes during Drying |
---|---|
ERA Journal ID | 211247 |
Article Category | Article |
Authors | Senadeera, Wijitha, Banks, Jasmine, Adiletta, Giuseppina and Brewer, Kate |
Journal Title | Processes |
Journal Citation | 12 |
Article Number | 720 |
Number of Pages | 18 |
Year | 2024 |
Publisher | MDPI AG |
Place of Publication | Switzerland |
ISSN | 2227-9717 |
Digital Object Identifier (DOI) | https://doi.org/10.3390/pr12040720 |
Web Address (URL) | https://www.mdpi.com/2227-9717/12/4/720 |
Abstract | Grape dehydration is practiced widely in the food industry with large yields of sultanas produced globally. This paper proposes an investigation into the microstructure changes of grapes as they are dried by imaging specimens at intervals during dehydration at two temperatures using scanning electron microscopy. Two main methods were developed to obtain the complex boundaries of cells present in grape tissue in over 36 SEM images. Segmentation of the binary image using an adapted watershed function obtained the most consistent and accurate morphological shape. This was compared to a secondary method which used Canny’s edge detection function, morphological closing and skeletonizing to outline the cellular microstructure. MATLAB was utilised to convert these boundaries into measurable areas so that quantitative data on average cell area, perimeter and cell axis lengths were acquired. It was found that over the drying time, the cell area and perimeter were reduced as expected. Some variability in the data was clear due to only single samples being analysed for each temperature and time combination. Trends in cell perimeter, diameter and shape will be used to demonstrate relationships between morphological structure, drying temperature, and duration. Detailed images of the microstructure were obtained, and a unique image processing algorithm was developed to quantitatively analyse the properties of this microstructure. The development of automatic image processing techniques and algorithms will enable quantitative data to be extracted from any image and extend to any plant/food material. |
Keywords | grape; drying; micro-structure; SEM; algorithm |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 409999. Other engineering not elsewhere classified |
Byline Affiliations | School of Engineering |
Queensland University of Technology | |
Sapienza University of Rome, Italy |
https://research.usq.edu.au/item/z779w/microstructural-approach-application-for-morphological-change-determinations-of-grapes-during-drying
Download files
37
total views14
total downloads2
views this month1
downloads this month