2020
DOI: 10.1111/1750-3841.15469
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Evaluation and modeling of changes in color, firmness, and physicochemical shelf life of cut pineapple (Ananas comosus) slices in equilibrium‐modified atmosphere packaging

Abstract: In this study cut, pineapple slices of 1 cm thick were packaged and stored at different temperatures and equilibrium modified atmosphere packages (EMAPs) to determine changes of color and firmness over time to represent physicochemical shelf life. From the experimental data, a variance analysis was performed to determine the effect of temperature and O2 level on the evolution of color (CIELAB coordinates) and firmness. It was observed that the evolution in L*, a*, and b* coordinates is independent on O2 concen… Show more

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Cited by 8 publications
(6 citation statements)
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“…The firmness of jujube was determined by a digital fruit hardness meter (HLY‐YD5, Wuhan Han Lin Yuan Technology Co., Ltd., Wuhan, China) with a 3.5 mm cylinder probe (Kou et al., 2020). The values of CIE system parameters ( L *, a *, and b *) were measured on the surface of jujube by a reflectance colorimeter (Minolta CR‐300, Konica Minolta Inc., Tokyo, Japan) (Gómez et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The firmness of jujube was determined by a digital fruit hardness meter (HLY‐YD5, Wuhan Han Lin Yuan Technology Co., Ltd., Wuhan, China) with a 3.5 mm cylinder probe (Kou et al., 2020). The values of CIE system parameters ( L *, a *, and b *) were measured on the surface of jujube by a reflectance colorimeter (Minolta CR‐300, Konica Minolta Inc., Tokyo, Japan) (Gómez et al., 2020).…”
Section: Methodsmentioning
confidence: 99%
“…The regression models evaluated to fit the experimental data were a fractional conversion first‐order model (Equation 4), logistic model (Equation 5), and modified enzyme kinetics model (Equation 6) due to its wide use to describe similar changes in fruits (Castellanos et al., 2016; Gómez et al., 2020; Sierra et al., 2019): Pbadbreak=Peqgoodbreak+()P0Peqekt\begin{equation}P = {P_{eq}}\; + \left( {{P_0} - {P_{eq}}} \right){e^{ - kt}}\end{equation} Pbadbreak=P0goodbreak+PeqP01+ek()tt1/2\begin{equation}P = {P_0} + \frac{{{P_{eq}} - {P_0}}}{{1 + {e^{ - k\left( {t - {t_{1/2}}} \right)}}}}\end{equation} Pbadbreak=P0goodbreak+tk1+k2t+k3t2\begin{equation}P = \;{P_0} + \frac{t}{{{k_1} + {k_2}t + {k_3}{t^2}}}\end{equation}…”
Section: Methodsmentioning
confidence: 99%
“…In Equations (4)–(6), P corresponds to the value of the physicochemical property, P 0 is the initial value of the property, P eq is the corresponding equilibrium value, k is the rate coefficient, t 1/2 is the mean turnaround time (see below), and t corresponds to the growth time. In the fractional conversion first‐order model (FCFO), the physicochemical property of the fruit will be changing between the initial value ( P 0 ) and the equilibrium value ( P eq ) as an exponential function of time (Castellanos et al., 2016; Gómez et al., 2020). In the logistic model (LG), the mean turnaround time (t 1/2 ) corresponds to the time in which the property has an abrupt change in its value (Gómez et al., 2020; Sierra et al., 2019).…”
Section: Methodsmentioning
confidence: 99%
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