Literature DB >> 28452059

Arrhenius equation modeling for the shelf life prediction of tomato paste containing a natural preservative.

Seid Mahdi Jafari1, Mohammad Ganje1, Danial Dehnad2, Vahid Ghanbari1, Javad Hajitabar1.   

Abstract

BACKGROUND: The shelf life of tomato paste with microencapsulated olive leaf extract was compared with that of samples containing a commercial preservative by accelerated shelf life testing. Based on previous studies showing that olive leaf extract as a rich source of phenolic compounds can have antimicrobial properties, application of its encapsulated form to improve the storage stability of tomato paste is proposed here.
RESULTS: Regarding total soluble solids, the control and the sample containing 1000 µg g-1 sodium benzoate had the lowest (Q10  = 1.63) and highest (Q10  = 1.88) sensitivity to temperature changes respectively; also, the microencapsulated sample containing 1000 µg g-1 encapsulated olive leaf extract (Q10  = 1.83) followed the sample containing 1000 µg g-1 sodium benzoate in terms of the highest kinetic rates. In the case of consistency, the lowest and highest activation energies (Ea ) corresponded to samples containing 1000 µg g-1 non-encapsulated olive leaf extract and 1000 µg g-1 microencapsulated olive leaf extract respectively.
CONCLUSION: Interestingly, samples containing microencapsulated olive leaf extract could maintain the original quality of the tomato paste very well, while those with non-encapsulated olive leaf extract rated the worst performance (among all specimens) in terms of maintaining their quality indices for a long time period. Overall, the shelf life equation was able to predict the consistency index of all tomato paste samples during long-time storage with high precision.
© 2017 Society of Chemical Industry. © 2017 Society of Chemical Industry.

Entities:  

Keywords:  Arrhenius equation; encapsulation; natural preservative; olive leaf extract; tomato paste

Mesh:

Substances:

Year:  2017        PMID: 28452059     DOI: 10.1002/jsfa.8404

Source DB:  PubMed          Journal:  J Sci Food Agric        ISSN: 0022-5142            Impact factor:   3.638


  2 in total

1.  Shelf-Life Prediction and Critical Value of Quality Index of Sichuan Sauerkraut Based on Kinetic Model and Principal Component Analysis.

Authors:  Jie Du; Min Zhang; Lihui Zhang; Chung Lim Law; Kun Liu
Journal:  Foods       Date:  2022-06-15

2.  Adsorption Properties of Comb-Shaped Polycarboxylate Dispersant onto Different Crystal Pyraclostrobin Particle Surfaces.

Authors:  Liying Wang; Chong Gao; Jianguo Feng; Yong Xu; Danqi Li; Lixin Zhang
Journal:  Molecules       Date:  2020-11-30       Impact factor: 4.411

  2 in total

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