2012
DOI: 10.1111/j.1750-3841.2012.03007.x
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Characterization of the Red Layer and Pericarp of Processing Tomato using Magnetic Resonance Imaging

Abstract: Peelability of tomatoes affects the quality of value-added whole peel and diced tomato products. The properties of the pericarp of tomato are directly related to the peelability of tomatoes. MRI provided a fast and nondestructive method to characterize the properties of tomato pericarp. The result of this work gives insight into the correlation between tomato pericarp characteristics and peelability.

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Cited by 13 publications
(7 citation statements)
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“…In 2013, Zhang and others () did an additional study involving MRI. This time, their objective was to explain the previously established correlation between MR images and tomato peelability.…”
Section: Novel Methods For Peelability Predictionmentioning
confidence: 99%
See 1 more Smart Citation
“…In 2013, Zhang and others () did an additional study involving MRI. This time, their objective was to explain the previously established correlation between MR images and tomato peelability.…”
Section: Novel Methods For Peelability Predictionmentioning
confidence: 99%
“…It should be noted that, in many cases, authors use more than 1 parameter to evaluate ease of peeling. Descriptors such as “% tomatoes with no peel,” “peeling losses,” and “yield” are often used in conjunction with (or instead of) peelability scales to describe the overall ease of peeling found in tomato batches and/or cultivars (Pandrangi and Barringer ; Garcia and others ; Zhang and others ).…”
Section: Peelability Studiesmentioning
confidence: 99%
“…The T2 signal is the spin-spin relaxation and will change due to proton density (amount of water) and temperature (at 3T, the T2 signal increases with decreasing temperature) (Zhang et al, 2013, Vesanen et al, 2013. Therefore, in order to measure the relative change in moisture content during hydrocooling, two scans are needed to determine the signal change from water infiltration alone.…”
Section: Spatial Moisture Change From Mrimentioning
confidence: 99%
“…5). Characterization of the red layer and pericarp of processing tomatoes using magnetic resonance imaging (Zhang et al, 2013) is also possible. In the future, MRI, FTIR and other sensor technologies may become routine tools in the tomato industry and ensure the highest quality raw materials and finished products.…”
Section: Analyticsmentioning
confidence: 99%