2005
DOI: 10.1016/j.postharvbio.2004.07.001
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Effects of storage temperature and fruit ripening on firmness of fresh cut tomatoes

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Cited by 111 publications
(84 citation statements)
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“…Stored at the chilling temperature, firmness was seen to be maintained because of the fact that softening was inhibited during post storage ripening of tomato stored under chilling temperature. This result is in agreement with the results reported by Jackman et al (1992) and Lana et al (2005) that described the softening rate of fruits stored at chilling temperature especially (2-8°C) was lower than the fruits stored at non-chilling temperature. Besides, according to the report made by Artes and Escriche (1994), tomato fruits stored at 12°C had acceptable firmness for commercial purposes after storage.…”
Section: Resultssupporting
confidence: 93%
“…Stored at the chilling temperature, firmness was seen to be maintained because of the fact that softening was inhibited during post storage ripening of tomato stored under chilling temperature. This result is in agreement with the results reported by Jackman et al (1992) and Lana et al (2005) that described the softening rate of fruits stored at chilling temperature especially (2-8°C) was lower than the fruits stored at non-chilling temperature. Besides, according to the report made by Artes and Escriche (1994), tomato fruits stored at 12°C had acceptable firmness for commercial purposes after storage.…”
Section: Resultssupporting
confidence: 93%
“…CV System captures the colour of each pixel within the image using three colour sensors per pixel [28], specifically capturing the intensity of the light in the red, green, and blue spectrum in the RGB (red, green, and blue) space. It is the most popular hardware-oriented colour space through which cameras sense the environment [29] and considered one of the best approaches to evaluate also a very small amount of colour variation [30]. Usually, through image processing and analysis, CV obtains colour information from pixels of digital image acquired by a high resolution CCD (chargecoupled device) camera, obtaining 16-million colours images, but it is also able to perform analyzes on images from external devices.…”
Section: Detection Of Packaging Materials In Ffp: a Comparison Of Eximentioning
confidence: 99%
“…1 Where t is the time, y0, stand is the initial condition at some standardised time, k is the rate constant of the process, depending on temperature according to Arrhenius' law and ∆t is the biological shift factor for each individual fruit or batch. This principle has been applied in practice on firmness (Lana et al, 2005) and colour (Lana et al, 2006) of fresh and cut tomatoes, the colour of growing bell peppers (Tijskens et al, 2005b) and Granny Smith apples (Tijskens et al, 2000(Tijskens et al, , 2005a. This system has the additional advantage that the values of ∆t (in all cases encountered up to now) are distributed according a normal distribution.…”
Section: Process Oriented Modellingmentioning
confidence: 99%