Potential of phenolic compounds from pomegranate (Punica granatum L.) by-product with significant antioxidant and therapeutic effects: A narrative review

Saparbekova, A.; Kantureyeva, G.O.; Kudasova, Darikha; Konarbayeva, Z K; Latif, A S

doi:10.1016/j.sjbs.2022.103553

Cited by 39 publications

(22 citation statements)

References 109 publications

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“…In addition to anthocyanins, ellagitannins, phenolic acids, and other subclasses of avonoids are among the main components of phenolic compounds in different parts of pomegranate fruits (Russo et al 2018;Saparbekova et al 2023). The content of these compounds varies signi cantly among different parts of the fruit (juice, pulp, and peel) as well as different genotypes (Russo et al 2018).…”

Section: The Mineral Content Of Fruit Peel and Arilmentioning

confidence: 99%

Differential effects of environmental conditions on the commercially important attributes and postharvest quality of pomegranate fruit

Zarei

Khademi

Erfani‐Moghadam

2023

Preprint

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To investigate the effects of varying climate conditions on the commercial production and shelf life of pomegranate, the main qualitative characteristics of fruit were compared in two pomegranate varieties in their traditional habitats and a new location. Our results revealed that most fruit traits were influenced by growing zones. Specifically, the content of anthocyanin, red color (a*) in aril and fruit peel, as well as titratable acidity in both varieties were significantly decreased in the new, warmer habitat, while, the antioxidant content experienced a more moderate reduction in the new place. On the other hand, the fruits grown in the new climate had substantially higher maturity index and hardness, as well as L* and b* pigments. However, the two varieties responded differently to traits such as 100 arils fresh weight and total soluble solids. The mineral content of fruit was also affected by growing locations, specifically the Ca level of fruits experienced a significant increment in the new climate. The new habitat improved the postharvest quality of fruits, and substantially lower electrolyte leakage and chilling damages were detected in warmer conditions. Taken together the fruits produced from the warmer region were superior to those obtained in their moderate traditional habitats owing to their long-term cold storage, taste index, and nutrients. These results enhance our knowledge regarding the expression of fruit traits in connection with the environment and can be beneficial for making sound planting decisions and crop improvement programs with the aim of improving the quality and postharvest life of fruit.

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Section: The Mineral Content Of Fruit Peel and Arilmentioning

confidence: 99%

Differential effects of environmental conditions on the commercially important attributes and postharvest quality of pomegranate fruit

Zarei

Khademi

Erfani‐Moghadam

2023

Preprint

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“…These chemical compounds have biological activities beneficial to humans, including anti-inflammatory [105], anticancer [106], prevention and treatment of diabetes [107], and beneficial effects on the immune system [108]. Antioxidants act by inhibiting free radical reactions, suppressing oxidative processes, and avoiding consequent cell damage [109].…”

Section: Packaging With Active Antioxidant Propertymentioning

confidence: 99%

Agar-Agar and Chitosan as Precursors in the Synthesis of Functional Film for Foods: A Review

et al. 2023

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The food industry produces an exorbitant amount of solid waste of petrochemical origin as a result of the increase in the development of new products. Natural polymers are an alternative to this theme; however, their development with adequate properties is a challenge. The union of different polymers in the synthesis of packaging is usually carried out to improve these properties. The combination of agar-agar and chitosan biopolymers show particular advantages through hydrogen bonds and electrostatic attraction between oppositely charged groups, presenting a promising source of studies for the synthesis of green packaging. When combined with natural extracts with active properties, these polymers allow an increase in the microbiological stability of foods associated with lower chemical preservative content and greater environmental sustainability.

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“…Pomegranate (Punica granatum L.), a diploid fruit crop species (2n = 16), belongs to the Lythraceae family 1,2 . Pomegranate is considered to be a very important fruit cash crop in the semiarid tropics and is grown on approximately 550,000 hectares worldwide with a production of approximately 6.5 million tons 3 .…”

Section: Introductionmentioning

confidence: 99%

YOLO-Granada: A Lightweight Attentioned Yolo forPomegranates Fruit Detection

Zhao,

Li,

Guo

et al. 2024

Preprint

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Pomegranate is an important fruit crop that is usually managed manually through experience. Intelligent management systems for pomegranate orchards can improve yields and address labor shortages. Fast and accurate detection of pomegranates is one of the key technologies of this management system, crucial for yield and scientific management. Currently, most solutions use deep learning to achieve pomegranate detection, but deep learning is not effective in detecting small targets and large parameters, and the computation speed is slow; therefore, there is room for improving the pomegranate detection task. Based on the improved You Only Look Once version 5 (YOLOv5) algorithm, a lightweight pomegranate growth period detection algorithm YOLO-Granada is proposed. A lightweight ShuffleNetv2 network is used as the backbone to extract pomegranate features. Using grouped convolution reduces the computational effort of ordinary convolution, and using channel shuffle increases the interaction between different channels. In addition, the attention mechanism can help the neural network suppress less significant features in the channels or space, and the Convolutional Block Attention Module (CBAM) attention mechanism can improve the effect of attention and optimize the object detection accuracy by using the contribution factor of weights. The average accuracy of the improved network reaches 0.922. It is only less than 1% lower than the original YOLOv5s model (0.929) but brings a speed increase and a compression of the model size. and the detection speed is 17.3% faster than the original network. The parameters, floating-point operations, and model size of this network are compressed to 54.7%, 51.3%, and 56.3% of the original network, respectively. In addition, the algorithm detects 8.66 images per second, achieving real-time results. In this study, the Nihui convolutional neural network (NCNN) framework was further utilized to develop an Android-based application(app) for real-time pomegranate detection. The method provides a more accurate and lightweight solution for intelligent management devices in pomegranate orchards, which can provide a reference for the design of neural networks in agricultural applications.

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Potential of phenolic compounds from pomegranate (Punica granatum L.) by-product with significant antioxidant and therapeutic effects: A narrative review

Cited by 39 publications

References 109 publications

Differential effects of environmental conditions on the commercially important attributes and postharvest quality of pomegranate fruit

Differential effects of environmental conditions on the commercially important attributes and postharvest quality of pomegranate fruit

Agar-Agar and Chitosan as Precursors in the Synthesis of Functional Film for Foods: A Review

YOLO-Granada: A Lightweight Attentioned Yolo forPomegranates Fruit Detection

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