Publications by authors named "Shirin Taghipour"

Fresh pistachios are rich in dietary fiber, minerals and unsaturated fatty acids, but they have a short shelf life. This investigation examined the effect of pre-harvest foliar application with chitosan (500 and 1000 mg. L), nano-chitosan (250 and 500 mg.

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This study was done to evaluate the effect of pre-harvest foliar application with chitosan (500 and 1000 mg L), Nano-chitosan (250 and 500 mg L), and chitosan/ZnO nanocomposite (250 and 500 mg L) coatings on the quality and shelf life of fresh pistachios of "Akbari" and "Ahmad Aghaei" cultivars during storage. The results showed that 250 and 500 mg L of chitosan/ZnO coatings significantly affected the shelf life of pistachios up to 35 and 40 days, respectively; in addition, chitosan/ZnO nanocomposite in both cultivars reduced weight loss, aflatoxin contamination, decay, polyphenol oxidase and glutathione-peroxidase enzymes, peroxide value, free fatty acids, and improve firmness, sensory properties, protein, oil content, carbohydrate, antioxidant properties, anthocyanin, phenol, and flavonoid. These results indicated that using chitosan/ZnO (250 and 500 mg L) is a promising efficient, safe, and environmentally friendly method for preserving the quality of fresh pistachios.

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The objective of this study was to investigate the effects of preharvest chitosan-Myrtus communis essential oil composite (1.5 and 3.0 %) and postharvest nanocellulose (0.

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Abstract: Bioactive compounds and quality were determined in table grape ( cv. 'Yaghouti') at storage period after treatment with 2.0 and 3.

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The present study evaluated impact of pre-harvest foliar spraying with chitosan (2.0% and 3.0%) and post-harvest Aloe vera gel (AVG) coating (25% and 33%) to determine the quality of table grape during storage.

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Background: Although different protein-protein physical interaction (PPI) datasets exist for Escherichia coli, no common methodology exists to integrate these datasets and extract reliable modules reflecting the existing biological process and protein complexes. Naïve Bayesian formula is the highly accepted method to integrate different PPI datasets into a single weighted PPI network, but detecting proper weights in such network is still a major problem.

Results: In this paper, we proposed a new methodology to integrate various physical PPI datasets into a single weighted PPI network in a way that the detected modules in PPI network exhibit the highest similarity to available functional modules.

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