Search Results (128)

Goji berry consumption provides various beneficial health effects, although little is known about the possible toxicological and pro-oxidant effects. Therefore, this study aimed to evaluate the subchronic oral toxicity of goji berry juice (GBJ) for 28 days in Wistar rats (OECD 407). The GBJ was prepared in a blender with water and then filtered. The total phenolic compounds were evaluated using the Folin method (μg equivalent of gallic acid/mL juice). Forty 90-day-old female Wistar rats were divided into four groups of 10 animals each. The control group received an oral saline solution of 1 mL/100 g, and the treatments received daily doses of 1.85, 5.68, and 11.36 μg GAE/100 g for 28 days. Our findings revealed that GBJ does not alter animal body weight or food intake, although we observed higher hepatic transaminase levels and reactive species generation in the liver and kidney, which may have led to imbalanced antioxidant defenses and damaged lipids and proteins. Additionally, we observed kidney damage with increased Bowman space. Our 28-day findings indicate that goji berry juice at doses equivalent to typical human consumption can induce early redox imbalances and hepatic and renal biochemical alterations in female Wistar rats, warranting caution and further long-term, sex-inclusive studies. Full article

Background/Objectives: In the context of increasing consumer demand for high-quality meat, this study aimed to evaluate the effects of 4% fermented goji berry residue supplementation on meat quality and flavor characteristics in finishing Tan sheep. Methods: Thirty-six male lambs were randomly assigned to a control and FGB group and fed for 68 days. Results: FGB supplementation significantly enhanced Longissimus Dorsi (LD) brightness (L*), redness (a*), and crude protein content, while reducing crude fat (p < 0.05). Amino acid analysis revealed significant increases in lysine, methionine, histidine, glycine, proline, arginine, cysteine, and total sweet-tasting amino acids in the FGB group (p < 0.05). Lactate and inosine monophosphate (IMP) levels were significantly elevated, whereas hypoxanthine levels decreased (p < 0.05). Metabolomics identified 189 metabolites, with 12 differentially expressed, mainly enriched in butanoate metabolism, glycolysis/gluconeogenesis, PI3K-Akt, and HIF-1 signaling pathways. Transcriptomics revealed 382 differentially expressed genes, including key regulators of lipid metabolism (FOXO1, SLC2A4, LPIN1, IGF1, SPP1) and amino acid metabolism (COL3A1, GLUL, PSMC1). Conclusions: Fermented goji residue altered amino acid and lipid metabolism in the LD muscle of Tan sheep, affecting meat quality and flavor traits. However, effects on color (L*, a*, b*), protein content, and shear force varied across the four muscles studied, indicating that responses to supplementation are muscle-specific. These findings offer a sustainable strategy for improving meat quality and provide insights into the molecular mechanisms underlying flavor development in ruminants. Full article

To address the issue of low depth estimation accuracy in complex goji berry orchards, this paper proposes a method for identifying and locating goji berries that combines the YOLO-VitBiS object detection network with stereo vision technology. Based on the YOLO11n backbone network, the C3K2 module in the backbone is first improved using the AdditiveBlock module to enhance its detail-capturing capability in complex environments. The AdditiveBlock introduces lightweight long-range interactions via residual additive operations, thereby strengthening global context modeling without significantly increasing computation. Subsequently, a weighted bidirectional feature pyramid network is introduced into the Neck to enable more flexible and efficient feature fusion. Finally, a lightweight shared detail-enhanced detection head is proposed to further reduce the network’s computational complexity and parameter count. The enhanced model is integrated with binocular stereo vision technology, employing the CREStereo depth estimation algorithm for disparity calculation during binocular stereo matching to derive the three-dimensional spatial coordinates of the goji berry target. This approach enables efficient and precise positioning. Experimental results demonstrate that the YOLO-VitBiS model achieves a detection accuracy of $96.6\%$, with a model size of $4.3\mathrm{MB}$ and only $1.856\mathrm{M}$ parameters. Compared to the traditional SGBM method and other deep learning approaches such as UniMatch, the CREStereo algorithm generates superior depth maps under complex conditions. Within a distance range of 400 mm to 1000 mm, the average relative error between the estimated and actual depth measurements is $2.42\%$, meeting the detection and ranging accuracy requirements for field operations and providing reliable recognition and localization support for subsequent goji berry harvesting robots. Full article

High-altitude exposure poses significant health challenges to mountaineers, military personnel, travelers, and indigenous residents. Altitude-related illnesses encompass acute conditions such as acute mountain sickness (AMS), high-altitude pulmonary edema (HAPE), and high-altitude cerebral edema (HACE), and chronic manifestations like chronic mountain sickness (CMS). Hypobaric hypoxia induces oxidative stress and inflammatory cascades, causing alterations in multiple organ systems through co-related amplification mechanisms. Therefore, this review aims to systematically discuss the injury mechanisms and comprehensive intervention strategies involved in high-altitude diseases. In summary, these pathologies involve key damage pathways: oxidative stress activates inflammatory pathways through NF-κB and NOD-like receptor thermal protein domain-associated protein 3 (NLRP3) inflammasomes; energy depletion impairs calcium homeostasis, leading to cellular calcium overload; mitochondrial dysfunction amplifies injury through mitochondrial permeability transition pore (mPTP) opening and apoptotic factor release. These mechanisms could be converged in organ-specific patterns—blood–brain barrier disruption in HACE, stress failure in HAPE, and right heart dysfunction in chronic exposure. Promising strategies include multi-level therapeutic approaches targeting oxygenation (supplemental oxygen, acetazolamide), specific pathway modulation (antioxidants, calcium channel blockers, HIF-1α regulators), and damage repair (glucocorticoids). Notably, functional foods show significant therapeutic potential: dietary nitrates (beetroot) enhance oxygen delivery, tea polyphenols and anthocyanins (black goji berry) provide antioxidant effects, and traditional herbal bioactives (astragaloside, ginsenosides) offer multi-targeted organ protection. Full article

WUSCHEL-related homeobox plays important roles in diverse biological processes, such as plant growth and development, hormonal homeostasis, and abiotic stress adaptation. Lycium barbarum (goji berry) is a model species for studying regeneration in woody plants; however, the LbWOX gene family has yet to be characterized. This work reports a genomic and transcriptomic characterization of the LbWOX gene family in Lycium barbarum. Eighteen LbWOX genes were identified with uneven distribution across eight chromosomes. These genes were grouped into three subfamilies via phylogenetic classification. Additionally, cis-regulatory element characterization suggests that the expression of LbWOX genes is mainly influenced by plant differentiation, phytohormones, and various abiotic stresses. Expression profiles derived from RNA-Seq of root, stem, leaf, and fruit revealed that all eighteen genes were expressed. Notably, LbWOX1 and LbWOX4 were highly expressed in leaves, suggesting a role in leaf growth and a potential to enhance differentiation capacity. Furthermore, LbWOX4 showed elevated expression in roots and stems, an association with vascular development that implicates them as prime candidates for enhancing adventitious root formation during cutting propagation. This work represents the first genome-wide analysis of the LbWOX genes, integrating high-throughput RNA-Seq to characterize the function of all eighteen identified members. Our research provides further insights for future studies of LbWOX gene functions in wolfberry. Full article

Goji berries (Lycium barbarum L.) are valued for their nutritional and medicinal properties; however, the systematic biochemical impact of drying on their quality remains poorly understood. This study applied an untargeted metabolomics approach based on UHPLC-HRMS and AntDAS to profile metabolic changes during sun-drying. Multivariate analyses (PCA and PLS-DA) revealed distinct time-dependent clustering, indicating significant shifts in the metabolome. Key metabolites, including betaine, galactose, and trans-ferulic acid, increased significantly (p < 0.05), whereas choline, allantoin, and huperzine isomers decreased. Pathway analysis highlighted glycine, serine, threonine, galactose, and phenylpropanoid metabolism as the central pathways that were affected. These differential metabolites could potentially be used as quality biomarkers. Our findings establish untargeted metabolomics as an effective tool for elucidating the evolution of goji berry quality during drying, offering a theoretical basis for process optimization. Full article

We developed a model to predict the quality of fresh goji berries during storage by analyzing the correlations of their dielectric properties. The variations in these properties with storage temperature, time, and frequency were systematically characterized to inform the model. Leveraging these relationships, we developed a model to predict quality. The analysis integrated measurements of dielectric properties with assessments of texture and key physicochemical indicators. Results indicate that dielectric parameters exhibit significant frequency dependence. Complex impedance (Z), capacitance (Cp), and resistance (Rp) all decreased sharply with increasing frequency, with the most pronounced change observed in Cp. Conductance, G, and reactance, X, increased with frequency, reaching maximum increases of 360.86% and 87.79%, respectively. Under the specific test frequency of 163,280 Hz, a strong polynomial relationship was observed between the dielectric parameters and storage time, with all fitted models yielding ${\mathit{R}}_{adj}^2$ values above 0.94. The quality factor Q (a dimensionless number for the energy efficiency of a resonant circuit or medium) showed a near-perfect correlation with brittleness, while reactance, X, was correlated with springiness and cohesiveness, with correlation coefficients approaching 0.999 under the optimal test frequency. The constructed ANN model demonstrated high prediction accuracy for hardness, brittleness, elasticity, cohesiveness, chewiness, and soluble solids content (R² > 0.97, MSE < 5%) but performed poorly in predicting adhesiveness, stickiness, and rebound elasticity (R² < 0.9). The constructed LSSVM model showed good prediction performance for some indicators (hardness, springiness, cohesiveness, and SSC) (R² > 0.94), but its prediction accuracy was low for brittleness and chewiness (R² < 0.9). Overall, its performance and generalization ability were inferior to the ANN model. This study shows that ANN models based on dielectric properties establish a technical foundation for the non-destructive, automated monitoring of goji berry storage quality, thereby providing a critical tool for dynamic quality tracking and value assessment within integrated warehouse management systems. Full article

Agricultural diversification represents an important strategy for promoting sustainability and resilience in rural regions. Goji berries (Lycium barbarum) have emerged as a promising alternative crop due to their high nutritional and functional potential. In this sense, the search for new crops to diversify the production in southwestern Spain is of main interest for farmers to adapt their productions to consumers claims and to climate change, having alternatives to the classical crops (olives, grapes for wine, etc.). This study evaluated several quality related parameters of three goji berry varieties cultivated in the southwest of Spain. Texture profile analysis (TPA) and puncture tests revealed varietal differences in firmness, cohesiveness, and springiness, influenced by genotype and harvesting time. Other morphological and quality parameters such as moisture, total soluble solids, titratable acidity and color were also affected. Significant differences in antioxidant capacity (ABTS and DPPH assays) were found among the varieties and harvesting times, with NQ7 exhibiting the highest values. Phenolic compounds were identified and quantified by LC–HRMS/MS, detecting 33 compounds, with most belonging to the hydroxycinnamic acids, flavonols and flavanones families. NQ7 presented the highest total phenolic content (74.787 mg/100 g DW), with rutin, coumaric acid derivatives, and naringenin as major contributors. The correlation analysis confirmed a strong relationship between total phenolic content and antioxidant capacity. Overall, the results indicated that goji berries grown in southwestern Spain exhibited favorable quality and bioactive profiles, supporting their suitability for sustainable production and commercialization, including further applications as functional food ingredients. Full article

Goji berry is a rich source of polyphenols, carotenoids and polysaccharides, contributing to its diverse biological activities. Due to their high water content and perishability, the berries are often processed into dried forms or juices. This study hypothesized that juice obtained from Serbian-grown goji berries would exhibit a distinctive phytochemical composition and significant in vitro antioxidant and hypoglycemic potential. Antioxidant activity was assessed using DPPH, ABTS, CUPRAC, FRAP and β-carotene bleaching assays, while hypoglycemic potential was evaluated via α-amylase and α-glucosidase inhibition. The analyzed goji juice exhibited mild acidity and moderate sweetness. In terms of bioactive composition, the juice contained high levels of polyphenols (194.50 ± 3.88 mg GAE/100 mL) exceeding the values reported for most commercial fruit juices, as well as notable levels of flavonoids (70.30 ± 5.11 mg CE/100 mL), carotenoids (289.53 ± 0.65 µg/100 mL) and polysaccharides (375.20 ± 12.46 mg Glu/100 mL), along with minerals, particularly potassium and copper. It also showed strong antioxidant capacity and concentration-dependent inhibition of α-amylase (IC₅₀ = 5.28 ± 0.26 mg/mL) and α-glucosidase (IC₅₀ = 10.12 ± 0.23 mg/mL). This study provides the first comprehensive characterization of Serbian-grown goji berry juice, confirming its potential as a functional ingredient. Full article

Root rot in Lycium barbarum, an economically vital crop, is a critical barrier to its sustainable development in China. To elucidate the underlying micro-ecological mechanisms, this study aimed to characterize and compare the rhizosphere microbial communities of healthy and diseased plants from the Qaidam Basin. We employed PacBio full-length amplicon sequencing to analyze bacterial and fungal populations, complemented by network analysis and in vitro antagonistic assays. The results indicated that while microbial species richness was similar, the community structures of healthy and diseased soils were fundamentally different, suggesting that the disease is primarily driven by microbial dysbiosis rather than species loss. Healthy soil was enriched with beneficial Trichoderma, whereas diseased soil was dominated by the pathogen Fusarium, with an abundance 6.7 times higher than that in healthy soil. Network analysis revealed the healthy fungal community was significantly more stable (modularity index: 0.818) than the diseased network (0.4131), where Fusarium occupied a core hub position. Crucially, Trichoderma strains isolated from healthy soil exhibited strong antagonistic activity against Fusarium, with an average inhibition rate exceeding 75%. This study identifies Fusarium as the key pathogen of Goji root rot and native Trichoderma as a potent biocontrol agent, providing a scientific basis for a sustainable, micro-ecological control strategy. Full article

Lycium ruthenicum leaves (LRL), as an agricultural by-product rich in bioactive compounds, can be used as an unconventional feedstuff in animal diets and have the potential to improve animal health. This study investigates the effects of dietary supplementation with graded levels of LRL on rumen fermentation, meat amino acid and fatty acid profiles, and rumen bacterial diversity in sheep. Forty three-month-old male Dorper × Hu crossbred F1 lambs with an initial body weight of 29.58 ± 2.06 kg were randomly assigned to four groups (n = 10). Over a continuous 63-day trial period, the lambs were fed diets containing 0%, 5%, 10%, and 15% LRL, respectively. At the end of the trial, rumen fluid and longissimus dorsi muscle samples were collected to assess rumen fermentation characteristics, bacterial community structure, and meat quality. The results showed that: (1) The concentrations of acetate, butyrate, and total volatile fatty acids (TVFA) in the rumen were increased in the LRL5% group (p < 0.05 or p < 0.01). (2) The relative abundance of the phylum Firmicutes and the genus Ruminococcus increased (p < 0.05), while the relative abundance of the genus Prevotella decreased (p < 0.05) in the LRL5% group. (3) Meat L* increased (p < 0.05), and a* decreased (p < 0.05) in the LRL-supplemented groups. (4) The content of sweet amino acids in meat increased in LRL groups (p < 0.05). Moreover, the contents of non-essential amino acids, sweet amino acids, and total amino acids in meat increased linearly with increasing dietary LRL levels (p < 0.05). (5) Compared with the CON group, the content of C18:0 in meat decreased in the LRL5% group (p < 0.05), while the content of C20:1 increased in the LRL10% group (p < 0.05). In conclusion, dietary supplementation with LRL can improve meat quality, rumen fermentation, and rumen bacterial community structure in sheep. The recommended dietary inclusion level of LRL ranges from 5% to 15%. Full article

The low water and fertiliser utilisation efficiency and soil quality degradation caused by high water and fertiliser inputs are the primary challenges facing goji berry cultivation in arid regions. A two-year field experiment was conducted from 2021 to 2022. The experiment included three irrigation rates (I₁, I₂, I₃) of 2160, 2565, and 2970 m³·hm⁻² and three nitrogen application rates (N₁, N₂, N₃) of 165, 225, and 285 kg·hm⁻² to quantify their impacts on soil nutrients, enzyme activity, and goji berry yield in the root zone. Results indicate that the indicators of soil nutrients decrease with increasing soil depth, with depths of 0–20 cm accounting for 24.80–72.48% of total content. With fertility period progression, soil organic matter at depths of 0–80 cm exhibits a “folded-line” trend, while total nitrogen, nitrate nitrogen, and available phosphorus show an “M”-type trend. At depths of 0–40 cm, the proportions of urease, sucrase, and alkaline phosphatase activities all exceeded 70%. At I₁ irrigation rate, enzyme activities gradually increased with rising nitrogen application rates. At I₂ and I₃ irrigation rates, enzyme activities first increased, then decreased with increasing nitrogen application. The highest yields of both fresh and dried fruits were achieved at I₂N₂ treatment, increasing by 14.17% and 14.78%, respectively, compared to conventional management (CK). Analysis of the random forest model indicates that the soil-driven factors influencing yield formation include SA, UA, APA, HPA, SOM, NH₄⁺-N, and TP. Analysis of SQI and yield fitted data indicates that water–nitrogen coupling significantly influences wolfberry yield by regulating soil quality. Partial least squares (PLS-PM) showed that N application and irrigation of soil nutrients did not cause a significant indirect impact on goji berry yield, but a significant positive effect on goji berry yield occurred through enzyme activity. Full article

Background: Goji berry, known as a “superfood”, is widely distributed in northwest China and possesses significant medicinal and health value. The CER gene family serves as a key regulator of cuticular wax synthesis, which plays important roles in enhancing plant drought resistance and disease tolerance. However, genome-wide identification of the goji CER gene family and its expression analysis across different varieties and organs have not been reported. Methods: Based on SEM observations and wax load measurements, this study identified CER gene family members using whole genome data of the goji berry. Representative genes were selected and their expression patterns in different varieties and organs were validated by qRT–PCR. Results: The stem wax load was significantly higher than that in other organs, while the leaf wax load of ‘Ningqi I’ goji was significantly higher than that in other varieties, consistent with SEM observations. A total of 113 CER gene family members were identified in goji berry, which were unevenly distributed on 12 chromosomes. The goji CER proteins mainly localized in the cell membrane, cytoplasm, chloroplast, and nucleus and clustered into five subfamilies. Ten conserved motifs were identified in CER proteins, with Motif5 and Motif7 being the most widely distributed. The LbaCER10-1 gene contained the highest number of exons (39). Cis-acting elements related to light-responsiveness, MeJA-responsiveness, and ABA-responsiveness showed high frequencies. Goji berry shared more homologous CER genes with tomato, potato, and tobacco than with Arabidopsis, with chr3 and chr9 being most conserved while chr7 showed greater variation. Conclusions: Integrating SEM, wax load, and qRT–PCR results, LbaCER1-1 was identified as a candidate gene responsible for the higher wax load on goji stems, while LbaCER2-5 and LbaCER3-12 were candidate genes for greater wax load on ‘Ningqi I’ leaves. Full article

Goji berries (Lycium barbarum L.) are extremely rich in bioactive compounds, including phenolics, flavonoids, and vitamin C, which contribute to the strong antioxidant and immunomodulatory properties, positioning them as a promising candidate for nutraceutical applications. However, due to some limitations such as poor bioavailability and instability, encapsulation via spray drying with polymeric carriers provides a practical strategy to improve their stability, bioavailability, and applicability in the health sector. In this study, goji berry extract (GBE) was obtained via ultrasound-assisted extraction (UAE) and encapsulated using spray drying with four different polymers: alginate, pectin, Eudragit E100 and RS30D. GBE-loaded microparticles showed improved production yields (e.g., 40.3% for Alginate + GBE vs. 13.9% for Alginate alone) and varying particle sizes (1.9–4.4 µm). The antioxidant/antiradical activities were retained to different extents, depending on the carrier, with RS30D + GBE displaying the highest TPC (15.51 mg GAE (gallic acid equivalents)/g), FRAP (59.83 µmol FSE (ferrous sulphate equivalents)/g), and DPPH activities (3.50 mg TE (Trolox equivalents)/g). Biocompatibility was confirmed in HT29-MTX cell lines for all produced microparticles. These findings support the use of spray-dried polymeric carriers to enhance the functional performance and stability of goji berry bioactive compounds in future nutraceutical applications. Full article

Lycium barbarum L. (goji berry) undergoes rapid quality deterioration after harvest owing to its high water activity and abundant reactive oxygen species (ROS). Carbon-dot-mediated photodynamic treatment (CD-PDT) has recently been shown to extend shelf life by modulating ROS-scavenging and defense enzymes, yet the global metabolic reprogramming that supports this protection remains unresolved. Here, we applied ultra-high-performance liquid chromatography–tandem mass spectrometry (HPLC-MS/MS)-based untargeted metabolomics to decode the metabolic footprint of CD-PDT in freshly harvested goji berries. Our results revealed a total of 17,603 differentially expressed metabolites between the treatment and control groups under both positive- and negative-ion modes. Principal component analysis indicated that CD-mediated PDT significantly altered the metabolic profile of fresh goji berries. The treatment activated the phenylpropanoid biosynthesis pathway, promoting the accumulation of compounds such as kaempferol-3-sophoroside, kaempferol-3-O-β-D-glucoside, and galactoside, thereby enhancing the antioxidant capacity of the fruit. Furthermore, CD-mediated PDT induced the tricarboxylic acid cycle, providing sufficient energy to support the phenylpropanoid biosynthesis pathway. In conclusion, these findings provide the systems-level evidence that CD-PDT orchestrates a coordinated activation of primary and secondary metabolism in postharvest goji berries, establishing a mechanistic framework for preservation of horticultural products. Full article