Quality changes kinetic of tomato during transportation and storage

Abstract

Kinetic models were performed to investigate the quality changes of tomatoes. The samples were transported from three different distances (100, 154, and 205 km), and then stored at a temperature of 10 and 22 C. Physical (weight loss, color, and firmness), chemical (titratable acidity (TA), total soluble solids (TSSs), sugar/acid ratio, and pH), and nutritional (total lycopene and carotenoids) quality parameters of tomato were measured for 12 days of storage. Transportation of tomatoes from the longdistance transportation and storage at 22 C resulted in a higher increase in weight loss, redness, color index, total lycopene, and carotenoids, and a higher decrease in firmness, color lightness, TA, and so forth. The results showed that the quality changes were well described by the zero-order kinetic model (with a coefficient of determination R 2 = values of .9993-.8400). Weight loss, total lycopene, and carotenoids were adequately fitted with the zero-order kinetic model, where TSSs and most firmness experimental values were successfully fitted with the first-order kinetic model. In all cases, the reaction rate constant (k) was higher at 22 C storage temperature compared to storage at 10 C. To validate the appropriateness of the selected models, weight loss, firmness, some color parameters, TA, and total lycopene were taken as examples. All the experimental and predicted data showed a strong agreement. Overall, the results of this study could help the distributors, processors, and consumers to identify the storage time and the ideal edible time. Practical applicationsThe practical application obtainable from our research is the classification of fresh produce based on their maturity stage is required to select the suitable packaging with high strength material during long-distance transportation. Also, the practical objective of the study is to improve refrigeration storage condition of tomato or many other fresh produce after transportation in the industrial field to maintain its quality attributes for long time. In particular, the proposed study establishes the correlation between transport distance, storage temperature, and duration and the quality attributes of tomato to obtain a mathematical model to predict the quality changes during storage and to assess the effect of transport distance on tomato. The knowledge of such type of data can help to develop an advanced supply chain strategies like transporting, storage, and routing policies.

Post-harvest biocontrol of Fusarium infection in tomato fruits using bio-mediated selenium nanoparticles

“…In the current study, the treatment of tomato fruits with MIC of SeNPs increased the TA% as compared to untreated ones ( T1 ), which will probably increase the shelf life of treated tomato fruits. The TA% is generally decreased by increasing the transportation time and repeated vibration, which increases the rate of respiration and consumption of organic acids (Al‐Dairi et al 2021c ). In addition, Endalew ( 2020 ) reported that the TA% of tomato was decreased at 25 °C due to the enhancement of tomato ripening and enzymes activity, thus affecting the fruits’ acidity.…”

Potential of finite element method to optimize the olive harvester machine (hand‐held rotary harvester)

“…As response variable has been selected in turn FFA, PEROX, K232, K270, CHLOR, CAROT, PHEN and FLAV, and, as predictor variables, have been chosen in turn BRS and BRScalc with RIPLVL (the ripening level was a categorical variable coded as “u” for unripe, “s” for semi‐ripe and “r” for ripe) and CV (olive's CV was a categorical variable coded as “F” for Fishemi, “O” for Oily and “Y” for Yellow). The algorithm has given the model, expressed in Wilkinson notation, considering the most influential factors among the predictor variables, the estimated model coefficients, the adjusted coefficient of determination (adj R 2 ), the root mean squared error (RMSE), and its mean, expressed as percent related to the selected response variable data (avgRMSEperc) (Al‐Dairi et al, 2021).…”

Effect of Simulated Vibration and Storage on Quality of Tomato

“…Also, the model that effectively fitted tomato fruits quality parameters was defined with the maximum R 2 and lowest X 2 and RMSE. Besides, the following formulas were applied for the estimations of the parameters [23]:…”

“…Kinetic modeling is an essential tool for predicting and controlling the quality attributes alterations in fresh produce [22,23]. It has been highlighted that kinetic modeling has been applied to identify the changes in fresh produce quality characteristics like firmness, color parameters, weight [24], pigments, sugars, and acids [25].…”