Pomegranate peel-derived extracellular nanovesicles(PPENs) were isolated and purified by ultra-high speed centrifugation and sucrose density gradient centrifugation. Their morphology and structure were characterized. In vitro α-glucosidase inhibition assay and model test of insulin resistance(IR) in HepG2 cells showed that PPENs had good anti-diabetic activity. The IC_(50) value of α-glucosidase inhibition was(35.3±1.1) μg·mL~(-1), significantly better than the positive drug acarbose. At a concentration of 100 μg·mL~(-1), PPENs could increase the glucose absorption of IR cells significantly. Lipidome, proteome, and metabolite analysis of PPENs were performed using chromatography-mass spectrometry. MicroRNA(miRNA) sequences were identified, and target genes of miRNA were predicted. The analysis results indicated that PPENs contained abundant lipids and transport proteins, providing a material basis for the transportation and distribution of PPENs in tissue. Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis suggested that lipids and miRNAs may be the key components of PPENs to exert anti-diabetic activity.

Diabetes mellitus is a metabolic and chronic disease linked to lifestyle factors like dietary patterns and physical inactivity. This randomized clinical study aimed to develop a novel dietary intervention using pomegranate peel powder-based multigrain chapatti to prevent diabetes. The product was formulated by incorporating pomegranate peel powder into a mixture of wheat flour, pearl flour, millet flour, and chickpea flour. The study included the formulation of various treatments (Tc, T1, T2, and T3) following product development, and these treatments were subjected to comprehensive assessments. The nutritional composition and antioxidant potential of the pomegranate peel powder-based multigrain chapatti were analyzed. Sensory attributes, including taste, texture, and overall acceptability, were evaluated. Additionally, biochemical analyses, including blood glucose levels and HbA1C, were conducted to assess the impact of the interventions on blood glucose metabolism. The results revealed that the nutritional profile and phytochemical potential of the product improved significantly in treatment T3, which contained 15% pomegranate juice. Overall acceptability was found to be high for T3, indicating that the inclusion of pomegranate peel powder was well received in terms of taste and sensory qualities. Importantly, the clinical trial demonstrated positive outcomes in the intervention group receiving the pomegranate peel powder-based multigrain chapatti. Blood glucose analysis and HbA1C assessments indicated that the consumption of this innovative dietary product contributed to improved blood glucose metabolism, suggesting its potential as a preventive strategy for diabetes.

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 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 framework was further utilized to develop an Android-based application 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.

Pomegranate (Punica granatum) is an important fruit crop for therapeutic and food applications. In June 2022, brown spots were observed on the fruit surface of pomegranate cultivar named Guangyan in Mengzi (23°20\'6\'\'N,103°25\'5\'\'E), Yunnan, China. The early spots appeared as circular or irregular lesions, measuring 1~1.5 mm in diameter. They were light brown with a clear boundary between disease and healthy tissues. Over time, these spots developed into polygonal lesions covering the entire fruit surface. Eventually, the diseased fruits decayed, and more than 50% of fruits were infected in pomegranate orchards. The tissues from the interface between health and disease were cut down, immersed in 75% ethanol for 15 s, then 5% NaOCl disinfecting for 2 min, washed three times with sterile water, and the PDA cultured at 26 °C in an incubator under dark conditions. Twenty-five samples were collected for pathogen isolation, ten fungal isolates were obtained by single spore germination, and these isolates had similar morphological characters. The colonies were white with 81 mm diameter at 7 days of incubation, containing undulate edges with dense aerial mycelium. After 14 days, the black conidiomata formed superficially, gathering into black droplets. Conidiogenous cells were hyaline, short, and filiform. Conidia were fusiform, straight or slightly curved, and comprised five cells, 24.12 to 34.53 (x̄=29.78) μm × 4.21 to 12.15 (x̄=8.68) μm (n=50). The three median cells were 13.13 to 25.22 μm (x̄=18.54), dark brown, whose septa and periclinal walls were darker than the other two cells. The apical cells showed two to four appendages, 12.31 to 29.15 (x̄=21.56) μm. Only a single appendage was found on the basal cell, 2.34 to 7.16 μm. Based on morphological features, these isolates were identified as Neopestalotiopsis clavispora (Maharachchikumbura et al., 2012, 2014). Molecular identification of isolate YNSL-3 was performed by amplification and sequencing of ITS4/ITS5, BT2A/ BT2B and EF1-728F/EF-2, respectively (White et al. 1990, Glass et al.1995, Carbone et al. 1999, O\'Donnell et al. 1998). These base sequences were deposited in GenBank with accession numbers OQ891378 (ITS), OR088917 (Tef) and OR513439(Tub), respectively. BLAST searches of the sequences revealed 100% (478/478 bp), 100% (484/484 bp), and 94.67% (426/450 bp) homology with those of N. clavispora NM16311a from GenBank (LC209216, LC209220, and LC209221), respectively. Phylogenetic analysis (IQ-TREE) by maximum likelihood method showed that the isolate YNSL-3 was clustered with N. clavispora. The pathogenicity was tested with the isolate of YNSL-3, YNSL-5 and YNSL-8 by detached assay. The fruit surface of pomegranate cultivar Guangyan was wounded with a sterilized needle. The mycelial blocks (5mm2) of isolates cultured on PDA for 7 days were attached to the points of inoculation. Controls were inoculated with sterile PDA agar. All inoculated fruits were maintained in a growth chamber at 26°C with 75% relative humidity. The test was performed thrice. The brown lesions were observed after 7 days, whereas the controls showed no symptoms. The same pathogens reisolated were identical to the original isolates based on morphological characterization and molecular analyses. N. clavispora could cause different diseases in many plants (Rajashekara et al. 2023, Loredana et al. 2020). To our knowledge, this is the first report of fruit brown spot on Punica granatum caused by N. clavispora in China. This finding will help improve management strategies against the fruit brown spots on P. granatum in China.

In this study, changes in the basic composition and structural characterisation of water-soluble pectin (WSP), homogalacturonan (HG) and rhamnogalacturonan-I (RG-I) from pomegranate peel were investigated after high-pressure-homogenisation (HPH) at 50 MPa and 300 MPa. The interactions between three pectin and anthocyanin (ACN) complex were also studied. The three pectin fractions were mainly composed of galacturonic acid (34.95%-87.69%), all with low degrees of methyl-esterification ≤41.20%. HPH at 300 MPa increased the binding ratios of ACN to three pectin fractions by 34.22%-34.59%. Changes in the structural characterisation results of pectin confirmed that the depolymerisation and breakdown of the side chains of pectin after HPH promoted electrostatic interactions, hydrogen bond and hydrophobic interaction between pectin and ACN. Correspondingly, the thermal and storage stabilities of ACN in the complex was boosted after HPH at 300 MPa. This study provides insights into the interaction between pectin and ACN under HPH.

Dementia treatment has become a global research priority, driven by the increase in the aging population. Punicalagin, the primary polyphenol found in pomegranate fruit, exhibits a variety of benefits. Today, a growing body of research is showing that punicalagin is a nutraceutical for the prevention of mild cognitive impairment (MCI). However, a comprehensive review is still lacking. The aim of this paper is to provide a comprehensive review of the physicochemical properties, origin and pharmacokinetics of punicalagin, while emphasizing the significance and mechanisms of its potential role in the prevention and treatment of MCI. Preclinical and clinical studies have demonstrated that Punicalagin possesses the potential to effectively target and enhance the treatment of MCI. Potential mechanisms by which punicalagin alleviates MCI include antioxidative damage, anti-neuroinflammation, promotion of neurogenesis, and modulation of neurotransmitter interactions. Overall, punicalagin is safer and shows potential as a therapeutic compound for the prevention and treatment of MCI, although more rigorous randomized controlled trials involving large populations are required.

Pomegranate juice (PJ) and inulin have been reported to ameliorate diet-induced metabolic disorders by regulating gut microbiota dysbiosis. However, there was a lack of clinical evidence for the combined effects of PJ and inulin on regulating gut microbiota in individuals with metabolic disorders. A double-blind, parallel, randomized, placebo-controlled trial was conducted, and 68 overweight/obese individuals (25 ≤ BMI ≤ 35 kg/m2) were randomly assigned to receive 200 mL/d PJ, PJ supplemented with inulin, or placebo for 3 weeks. Our results showed that PJ and PJ+inulin did not significantly alter the levels of anthropometric and blood biochemical indicators after 3 weeks of treatment. However, there was an increasingly significant impact from placebo to PJ to PJ+inulin on the composition of gut microbiota. Detailed bacterial abundance analysis further showed that PJ+inulin treatment more profoundly resulted in significant changes in the abundance of gut microbiota at each taxonomic level than PJ. Moreover, PJ+inulin treatment also promoted the production of microbiota-associated short-chain fatty acids and pomegranate polyphenol metabolites, which correlated with the abundance of the bacterial genus. Our results suggested that PJ supplemented with inulin modulates gut microbiota composition and thus promotes the production of microbiota-associated metabolites that exert potential beneficial effects in overweight/obese subjects.

The effects of soluble dietary fiber (SDF) from pomegranate peel obtained through enzyme (E-SDF) and alkali (A-SDF) extractions on the structural, physicochemical properties, and in vitro digestibility of sweet potato starch (SPS) were investigated. The expansion degree of SPS granules, pasting viscosity, gel strength and hardness were decreased after adding E-SDF. The setback was accelerated in the presence of A-SDF but E-SDF delayed this effect during the cooling of the starch paste. However, the addition of A-SDF significantly reduced the breakdown of SPS and improved the freeze-thaw stability of starch gels, even at low concentrations (0.1 %), while E-SDF showed the opposite result. The structural characterization of SDF-SPS mixtures showed that A-SDF can help SPS form an enhanced microstructure compared with E-SDF, while polar groups such as hydroxyl group in E-SDF may bind to leached amylose through hydrogen bonding, leading to a decrease in SPS viscoelasticity. In addition, the results of in vitro digestion analysis indicated that A-SDF and E-SDF could decreased the digestibility of SPS and increased the content of resistant starch, especially when 0.5 % E-SDF was added. This study provides a new perspective on the application of SDF from pomegranate peel in improving starch-based foods processing and nutritional characteristics.

Pomegranate peel is the by-product of pomegranate processing, which contains a lot of triterpene compounds. In this study, the total triterpenes of pomegranate peel (TPP) were extracted using an ultrasonic-assisted ethanol extraction method under optimal conditions, purified using D-101 macroporous resin to obtain a purity of 75.28%. The triterpenes in TPP were mainly pentacyclic triterpenes determined by LC-MS/MS. Network pharmacological analysis predicted that the anticancer targets were closely related to the MAPK pathway. The in vitro results showed that TPP could inhibit cell proliferation, promote apoptosis, reduce mitochondrial membrane potential and increase ROS levels. The western blot results indicated that the expression levels of the apoptotic proteins Bax, Bcl-2, cytochrome C, cleaved caspase-3 and cleaved caspase-9 were increased. In addition, the protein expression of the MAPK pathway predicted by network pharmacology also changed significantly. These results provided that TPP has potential for adjuvant therapy of tumors.

Pomegranate are often treated with preservatives during storage. This study investigated the effects of storage and food processing on the residual behavior of the five commonly used preservatives (prochloraz, thiophanate-methyl, pyrimethanil, imazalil, and difenoconazole) and their metabolites in pomegranate and its products. The LOQs for all target compounds were 0.001 mg kg-1. The residue levels of five preservatives in the calyx was highest, followed by the peel, stalk, septum, umbilicus, and seed. For the migration ability, the five preservatives from pomegranate peel to seed was negatively correlated with their octanol/water partition coefficients. The processing factors of each procedures of juice, wine, vinegar, and pectin processing were <1. Nevertheless, the PF values in drying peel during the overall process ranged from 1.26 to 4.09. Hence, it is worth noting that consumption of pomegranate essential oil and drying peel may pose a potential risk to the health of consumers.