2015
DOI: 10.1007/s00217-015-2578-8
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The evolution of quality characteristics of mango piece after pasteurization and during shelf life in a mango juice drink

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Cited by 16 publications
(9 citation statements)
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“…In addition, the phenolic diffusion may be associated with a cell wall breakdown due to the water movement, which may allow the migration of phenolic compounds from the fruit slice to the juice. Melo et al (2014) and Nguyen et al (2016) also reported migration of some water-soluble compounds between pieces of fruit and juice during storage. They attributed the influx to differences in concentration, the increased permeability in disrupted tissues, and a damaged cell wall.…”
Section: Correlation Between the Antioxidant Propertiesmentioning
confidence: 97%
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“…In addition, the phenolic diffusion may be associated with a cell wall breakdown due to the water movement, which may allow the migration of phenolic compounds from the fruit slice to the juice. Melo et al (2014) and Nguyen et al (2016) also reported migration of some water-soluble compounds between pieces of fruit and juice during storage. They attributed the influx to differences in concentration, the increased permeability in disrupted tissues, and a damaged cell wall.…”
Section: Correlation Between the Antioxidant Propertiesmentioning
confidence: 97%
“…Thirty percent firmness loss was already found after 4 days of storage. It may be associated with cell wall degradation due to the water movement from the juice to the fruit tissue during storage because of a water potential difference (Melo et al 2014;Nguyen et al 2016). Mesophilic aerobic bacteria (a) and yeasts and molds (b) counts, and firmness (c) of C strawberry slices (without UV treatment, without juice addition), UV strawberry slices (with UV treatment, without juice addition), (C + J) F strawberry slices (without UV treatment, with juice addition), (UV + J) F strawberry slices (with UV treatment, with juice addition), (C + J) J juice (juice added to slices untreated with UV), and (UV + J) J juice (juice added to slices treated with UV) during storage.…”
Section: Firmnessmentioning
confidence: 99%
“…The frozen untreated tissues were homogenised using the grindomixer (GM200, Retsch, Germany) and thawed in a 20 °C water bath. The dry matter content of the purees was determined in triplicate using a method slightly modified from Nguyen et al (2016). The puree was dried in porcelain crucibles placed in a vacuum oven (UniEquip 1445-2, Planegg, Germany) at 70 °C under 0.8-0.2 bar pressure with pressure reduction steps of 0.2 bar every hour, followed by overnight drying at 40 °C and atmospheric pressure.…”
Section: Dry Matter Determinationmentioning
confidence: 99%
“…In recent years, we have witnessed the development and application of more reliable, effective and fast mathematical modelling, such as the Weibull hazard model used for estimating the shelf-life of pezik pickles, for example [10]. Fast mathematical modeling, such as the Q10 model [11], has been widely used forshelf-life evaluation of food products such as frozen shrimp [12], for kinetics analysis of quality changes in Pangasius fillets at stable and dynamic temperatures, for simulating downstream cold chain conditions [13], and also for analysis of chilled pork [14], ketchup [15] or juice drinks [16]. Multiple linear regression (MLR) is an another prediction tool which can help to forecast food deterioration and shelflife based on a number of factors.…”
Section: Introductionmentioning
confidence: 99%