Encapsulation of bioactive compounds extracted from date palm seeds (Phoenix dactylifera L.) and their use in functional food

Publisher Copyright: Copyright © 2022 Hashim, Huang, Nadtochii, Baranenko, Boulkrane and El-Messery.Liposomes have been used as a novel phytoconstituent delivery system to encapsulate lyophilized palm seed phenolic extract (PSPE) and incorporate it into yogurt as a food model to enhance the bioavailability of PSPE. Phenolic compounds were extracted with aqueous ethanol from palm seed powder using the solvent-maceration approach assisted by ultrasonication. Lyophilized PSPE (0.2–1% w/v) was enclosed in a liposome structure coated with or without chitosan (primary/secondary liposome). Particle size, zeta potential, encapsulation efficiency (EE), Fourier transform infrared spectroscopy (FTIR), and transmission electron microscopy (TEM) were applied to investigate the primary and secondary liposomes. To assess the in vitro bioaccessibility of PSPE and primary/secondary liposomes, the total phenolic content (TPC) and the antioxidant activity were studied during the oral, gastric, and intestinal digestion stages. Three concentrations of lyophilized secondary liposomes (1.25, 2.5, and 3.75% w/v) were added to the yogurt food model. During the 14 days of storage, the physical, chemical, and sensory properties were assessed. Compared to the primary liposomes (87%), the secondary liposomes (91%) showed a higher encapsulation efficiency. Comparing the secondary liposomes to the original liposomes and the non-encapsulated PSPE, the bioaccessibility of phenolic compounds was improved. Fortified yogurt with secondary liposomes had a lower syneresis and viscosity than the reference yogurt. The encapsulated PSPE provided a good level of protection, and its release increased throughout the intestinal phase. Thus, PSPE in a microencapsulated form has been proven to be a rich and cost-effective source of phenolics that can be used successfully to produce functional yogurt.Peer reviewe

Enhancing date seed phenolic bioaccessibility in soft cheese through a dehydrated liposome delivery system and its effect on testosterone-induced benign prostatic hyperplasia in rats

IntroductionThe consumption of dairy products, including soft cheese, has been associated with numerous health benefits due to their high nutritional value. However, the phenolic compounds bioaccessibility present in soft cheese is limited due to their poor solubility and stability during digestion. So, this study aimed to develop an innovative soft cheese enriched with date seed phenolic compounds (DSP) extracted ultrasonically and incorporated into homogeneous liposomes and study its attenuation effect on testosterone-induced benign prostatic hyperplasia (BPH) in rats.MethodsDate seed phenolic compounds were extracted using 98 and 50% ethanol along with water as solvents, employing ultrasonication at 10, 20, and 30-min intervals. The primary and secondary DSP-liposomes were prepared and dehydrated. The particle size, zeta potential, encapsulation efficiency, and morphology were measured. Incorporating dehydrated liposomes (1–3% w/w) into soft cheese and their impact on BPH using male Sprague–Dawley rats was assessed. After inducing BPH, rats were fed a cheese diet with dehydrated DSP-liposomes. Over 8 weeks, parameters including nutrition parameters, prostate enlargement analysis, biochemical parameters, hormones level, oxidative stress, and cytokines were analyzed.Results and DiscussionThe results showed that ultrasound-assisted extraction effectively reduced the extraction time and 30 min extraction EtOH 50% was enough to extract high yield of phenolic compounds (558 mg GA/g) and flavonoids (55 mg qu/g) with high antioxidant activity (74%). The biological results indicate that prostate weight and prostate index% were diminished in the treatment groups (1 and 2) compared to the BPH control group. The high antioxidant content present in the DSP-liposomes acted as the catalyst for suppressing the responses of the inflammatory cytokines, inhibiting the anti-inflammatory IL-10 production, and suppressing the elevated levels of lipid peroxidation products compared to the BPH group.ConclusionThe treatment group (2) supplemented with dehydrated secondary DSP-liposomes exhibited the most significant variance (p < 0.05) as opposed to the BPH group. Liposomal encapsulation was proved to be a feasible approach for administering DSP in soft cheese, thereby establishing new functional food category possessing prophylactic properties against the advancement of BPH in rats

Semantic segmentation of microbial alterations based on SegFormer

IntroductionPrecise semantic segmentation of microbial alterations is paramount for their evaluation and treatment. This study focuses on harnessing the SegFormer segmentation model for precise semantic segmentation of strawberry diseases, aiming to improve disease detection accuracy under natural acquisition conditions.MethodsThree distinct Mix Transformer encoders - MiT-B0, MiT-B3, and MiT-B5 - were thoroughly analyzed to enhance disease detection, targeting diseases such as Angular leaf spot, Anthracnose rot, Blossom blight, Gray mold, Leaf spot, Powdery mildew on fruit, and Powdery mildew on leaves. The dataset consisted of 2,450 raw images, expanded to 4,574 augmented images. The Segment Anything Model integrated into the Roboflow annotation tool facilitated efficient annotation and dataset preparation.ResultsThe results reveal that MiT-B0 demonstrates balanced but slightly overfitting behavior, MiT-B3 adapts rapidly with consistent training and validation performance, and MiT-B5 offers efficient learning with occasional fluctuations, providing robust performance. MiT-B3 and MiT-B5 consistently outperformed MiT-B0 across disease types, with MiT-B5 achieving the most precise segmentation in general.DiscussionThe findings provide key insights for researchers to select the most suitable encoder for disease detection applications, propelling the field forward for further investigation. The success in strawberry disease analysis suggests potential for extending this approach to other crops and diseases, paving the way for future research and interdisciplinary collaboration

Optimizing encapsulation of black carrot extract using complex coacervation technique : Maximizing the bioaccessibility and release kinetics in different food matrixes

The encapsulation of bioactive compounds at the micro-scale presents an advanced approach for the food and nutraceutical industries. However, the challenge lies in determining optimal encapsulation parameters for each specific bioactive compound and encapsulation method. In addressing this, our study demonstrates the application of statistical programs to streamline the optimization of wet-lab experimental designs. Focusing on the encapsulation technique of complex coacervates for black carrot phenolic extract (BCPE), the response surface methodology was employed to optimize encapsulation parameters in terms of coating material, the core-to-coating material ratio, and the pH of the encapsulation environment. The optimum conditions predicted by RSM to produce BCPE-loaded complex coacervates were found to be a pH of 3.02, a core-to-coating ratio of 10g/100g, and a coating material composition of 59.10g/100 mL maltodextrin, and 0.90g/100 mL whey protein isolate. According to the RSM pattern with 84% desirability, encapsulation efficiency was found 86.08%. In addition, the effect of different food matrixes was examined on the in vitro bioaccessibility of spray-dried BCPE loaded complex coacervated powder (BCPE-CCp). To explore the impact of protein and carbohydrate richness, along with food temperature on capsule stability, the BCPE-CCp was incorporated into skim milk, apple juice, and chocolate beverages (1g/100 mL). Notably, heat treatment had no significant effect on the in vitro bioaccessibility of BCPE-CCp in terms of total phenolic compound and antioxidant activity (p < 0.05), indicating its suitability for hot formulations. Furthermore, the release of BCPE in a protein-rich environment was observed to be higher than in a carbohydrate-rich food matrix under both gastric and intestinal conditions. These findings provide valuable insights into the stability and release dynamics of BCPE-CCp in different food settings, supporting its adaptability for diverse formulations, including those involving elevated temperatures.Peer reviewe

Ameliorative effects of vitamins-loaded flavoured nanophytosomes fortified with star anise volatile oil against CsA-Induced liver and kidney injury in rats: Application in functional ice cream

This study investigated the effect of flavoured nanophytosomes loaded with vitamins A, E, D, B complex, folic acid, and C, as well as zinc on the immunosuppressive cyclosporin A (CsA)-induced liver and kidney injury in male rats. The vitamins flavoured nanophytosomes (VFnPs) were characterized in terms of particle size, zeta potential, encapsulation efficiency. Ice cream was flavoured with star anise volatile oil to mask the VFnPs' flavour and unacceptable taste. The study found that treatment with CsA alone resulted in increased (P > 0.05) levels of creatinine, urea, and MDA, as well as the activities of AST and ALT, while the levels of SOD, CAT, GST, proteins, CD4, INF-ᵧ, IL-6, IL-1β, and TLR4 decreased (P > 0.05). However, the group that received CsA simultaneously with VFnPs showed a significant (P > 0.05) decrease in the levels of creatinine, urea, and MDA, as well as the activities of AST and ALT, and increased (P > 0.05) levels of SOD, CAT, GST, proteins, CD4, INF-ᵧ, IL-6, IL-1β, and TLR4. The increase in the ratio of VFnPs had little effect on the physiochemical and sensory evaluation of the ice cream. Finally, the study suggests that VFnPs could potentially protect against CsA-induced liver and kidney injury and serve as a promising natural therapy for treating such conditions

A new automatic sugarcane seed cutting machine based on internet of things technology and RGB color sensor.

Egypt is among the world's largest producers of sugarcane. This crop is of great economic importance in the country, as it serves as a primary source of sugar, a vital strategic material. The pre-cutting planting mode is the most used technique for cultivating sugarcane in Egypt. However, this method is plagued by several issues that adversely affect the quality of the crop. A proposed solution to these problems is the implementation of a sugarcane-seed-cutting device, which incorporates automatic identification technology for optimal efficiency. The aim is to enhance the cutting quality and efficiency of the pre-cutting planting mode of sugarcane. The developed machine consists of a feeding system, a node scanning and detection system, a node cutting system, a sugarcane seed counting and monitoring system, and a control system. The current research aims to study the pulse widths (PW) of three-color channels (R, G, and B) of the RGB color sensors under laboratory conditions. The output PW of red, green, and blue channel values were recorded at three color types for hand-colored nodes [black, red, and blue], three speeds of the feeding system [7.5 m/min, 5 m/min, and 4.3 m/min], three installing heights of the RGB color sensors [2.0 cm, 3.0 cm, and 4.0 cm], and three widths of the colored line [10.0 mm, 7.0 mm, and 3.0 mm]. The laboratory test results s to identify hand-colored sugarcane nodes showed that the recognition rate ranged from 95% to 100% and the average scanning time ranged from 1.0 s to 1.75 s. The capacity of the developed machine ranged up to 1200 seeds per hour. The highest performance of the developed machine was 100% when using hand-colored sugarcane stalks with a 10 mm blue color line and installing the RGB color sensor at 2.0 cm in height, as well as increasing the speed of the feeding system to 7.5 m/min. The use of IoT and RGB color sensors has made it possible to get analytical indicators like those achieved with other automatic systems for cutting sugar cane seeds without requiring the use of computers or expensive, fast industrial cameras for image processing