Modeling phenolic content during storage of cut fruit and vegetables: A consecutive reaction mechanism

• Published in: Journal of food engineering 2014-11, Vol.140, p.1-8
• Main Authors: Amodio, M.L., Derossi, A., Colelli, G.
• Format: Article
• Language: English
• Subjects: Apples; Broccoli; Estimating; Fresh-cut produce; Kinetics; Lemons; Mandarins; Mathematical models; Modeling; Phenol; Phenolic compounds; Phenylalanine ammonia-lyase; Synthesis
• ISSN: 0260-8774; 1873-5770
• DOI: 10.1016/j.jfoodeng.2014.04.006

•The kinetics of phenolic content of some fresh-cut produce during storage was modeled.•A model based on two-irreversible consecutive reactions was used to fit experimental data.•Literature data and specific experimental trials were used to validate the model.•The model precisely fitted the trend of phenolic compounds of all fresh-cut fruit and vegetable samples studied.•The model could be used to understand the change of phenolic compounds due to wounding and to better predict shelf-life. The changes in the phenolic content of fresh-cut produce during storage are often characterized by an initial growth caused by several abiotic stresses that promote the increase of phenylalanine ammonia-lyase (PAL) activity, which is the first step in phenylpropanoid metabolism. A kinetic model based on a mechanism involving two consecutive reactions was developed to describe the changes in the phenolic content of fresh-cut produce during storage. Experimental data for purslane stored at 0 and 5°C, apples and broccoli stored at 5°C, as well as literature data for ‘Lisbon’ lemon and ‘Palazzelli’ mandarin samples were used to validate the model, which is consistent with the phenol changes under all of the studied conditions. By estimating model parameters, individually or as group, the storage temperature did not affect the de novo synthesis of phenols but did affect the oxidative degradation for purslane samples. For apples and broccoli samples, biological variability was very important and affected the initial phenolic content and synthesis. Moreover the model also explained the phenolic variation on mandarin segments and on cut lemons. The type of cut for lemon samples had a significant effect on the rate of synthesis of phenols, with an increase of 1.8-fold being observed for the ½ slice compared to the slices. The model may be a useful tool for obtaining a better understanding of the effects of processing and storage conditions on the changes in the phenolic content and improving the shelf life prediction of fresh-cut produce.