Journal of Agriculture and Food Research最新文献

{"title":"Green-synthesized iron oxide nanoparticles alleviates copper toxicity and enhance the morpho-physiological growth and tuber quality of potato (Solanum tuberosum L.) grown in contaminated soil","authors":"Hongyang Wang ,&nbsp;Youhong Feng ,&nbsp;Yan Yang ,&nbsp;Rui Shi ,&nbsp;Jiali Geng ,&nbsp;Yunxin Kong ,&nbsp;Muzammal Rehman ,&nbsp;Zahid Maqbool ,&nbsp;Shah Saud ,&nbsp;Shah Fahad ,&nbsp;Gang Deng","doi":"10.1016/j.jafr.2025.102102","DOIUrl":"10.1016/j.jafr.2025.102102","url":null,"abstract":"<div><div>A pot study was carried out to explore the effectiveness of varying levels (0, 3, 6, 9, and 12 mM) of green-synthesized iron oxide nanoparticles (FeO-NPs) on morpho-physiological growth and tuber quality of Potato <em>(Solanum Tuberosum</em> L.<em>)</em> grown in copper (Cu) contaminated soils (S₁ and S₂). Results revealed that Cu contamination badly influenced the growth parameters of potato plants, but use of FeO-NPs at 9 mM significantly enhanced the morpho-physiological growth, antioxidant enzyme activities and tuber quality attributes in Cu contaminated soils. Among various treatments, highest increase in plant height, stem diameter, chlorophyll contents, fresh and dry biomass of potato were recorded in S₁NP₃ followed by S₂NP₃ as compared to control. Although highest malondialdehyde (MDA) contents were observed in S₂NP₀ (37.70 ± 1.14 nmol g⁻¹) followed by S₁NP₀ (24.16 ± 1.64 nmol g⁻¹) but FeO-NPs effectively reduced MDA content in S₂NP₃. Moreover, the activities of superoxide dismutase (SOD) and catalase (CAT) were significantly enhanced by 167.4 % and 308.6 %, and 169.2 % and 168.3 % respectively, in the S₂NP₃ treatment at the budding and flowering stages. Furthermore, maximum reduction in Cu content in the soil (46.9 %), shoots (56.8 %), leaves (84.1 %) and tubers (86.9 %) was also observed in S₂NP₃. Overall, green-synthesized FeO-NPs improved the growth, antioxidant activity, and quality of potatoes in Cu contaminated soils.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102102"},"PeriodicalIF":4.8,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Programmable Light-Emitting Diode (LED) lighting enhances growth and nutrients of red cabbage microgreens in controlled environments","authors":"Bin Zhou ,&nbsp;Yaguang Luo ,&nbsp;Zhihao Liu ,&nbsp;Jianghao Sun ,&nbsp;Jorge M. Fonseca","doi":"10.1016/j.jafr.2025.102097","DOIUrl":"10.1016/j.jafr.2025.102097","url":null,"abstract":"<div><div>Red cabbage microgreens are high in nutrients and well-suited to controlled environment agriculture (CEA) due to their short growth cycle and space efficiency. This study investigated the effect of Light-Emitting Diode (LED) lighting at different wavelengths and intensities on growth, morphology and nutritional quality. A programmable LED lighting system was used to tailor light exposure throughout different stages of growth, enabling precise control over light spectra and intensity. Blue, hyper-red and far-red, had significant effects on stem length, leaf area and pigmentation (P &lt; 0.00002). Also, blue light enhanced leaf area and improved color uniformity, while hyper-red and far-red lights increased stem elongation and leaf pigmentation. Comparatively, white light had a more moderate effect on both growth and visual characteristics (P &lt; 0.004). A principal component analysis (Principal Component Analysis (PCA)) further confirmed these results with the highest variability observed in pigment content and stem length. Metabolomic analysis revealed increased production of glucosinolates and polyphenols with adjustable and dynamic lighting schedules. These findings can be readily put into practice for the production of microgreens under CEA systems and to potentially contribute to the expansion of urban agriculture efforts.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102097"},"PeriodicalIF":4.8,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of agro-technological processing parameters to enhance diamine oxidase activity in edible legume sprouts","authors":"Judit Costa-Catala ,&nbsp;Irache Iduriaga-Platero ,&nbsp;Jaume Bori ,&nbsp;M. Carmen Vidal-Carou ,&nbsp;M. Luz Latorre-Moratalla ,&nbsp;Oriol Comas-Basté","doi":"10.1016/j.jafr.2025.102104","DOIUrl":"10.1016/j.jafr.2025.102104","url":null,"abstract":"<div><div>Histamine intolerance is associated with impaired histamine metabolism caused by a deficiency of the enzyme diamine oxidase (DAO). A recommended strategy to alleviate symptoms is a low-histamine diet supplemented with exogenous DAO. Recent studies suggest plant-based DAO from legume sprouts could be a viable active ingredient for supplements. This study aimed to assess the impact of germination parameters (time-temperature binomial and salinity stress) on the histamine-degrading enzymatic activity of four species of edible <em>Leguminosae</em> sprouts and its stability during different storage conditions. The time-temperature binomial was found to strongly influence sprout DAO activity. Chickpea sprouts exhibited the highest activity at 14 °C on day 8 of germination, whereas lentil, soybean, and green pea sprouts showed peak activity at 30 °C between days 4 and 5. On the other hand, salinity stress did not enhance DAO activity and reduced the germination rate by 20–30 % compared to the control. Freezing was the only storage condition that preserved the DAO activity of the active ingredient intact for at least 12 months.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102104"},"PeriodicalIF":4.8,"publicationDate":"2025-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and optimization of protein extraction from sunflower seed Cake: RSM and ANN-GA approaches","authors":"Pooja Vartiya ,&nbsp;Piyush Kashyap ,&nbsp;Bhagya Raj ,&nbsp;Maanas Sharma ,&nbsp;Mohd Adnan ,&nbsp;Syed Amir Ashraf ,&nbsp;Rahul Mehra","doi":"10.1016/j.jafr.2025.102088","DOIUrl":"10.1016/j.jafr.2025.102088","url":null,"abstract":"<div><div>Sunflower seed cake (SSC) is an agricultural waste that is rich in proteins and numerous biologically active compounds. Moreover, SSC is devoid of any anti-nutritional compounds. Therefore, it can be leveraged for many food applications. In this work, SSC was explored for the extraction of proteins. Preliminary experiments on defatted and de-phenolized SSC were carried out using one-factor analysis. Protein extraction from sunflower seed cake was performed following isoelectric precipitation, and the amino acid profile was analyzed. Response surface methodology (RSM) and artificial neural networks (ANNs) were used to optimize the extraction conditions, i.e., pH (8.5–10.5), temperature (25–45 °C), solvent-solid ratio (10–30 mL/g) and time (1–3 h). Under optimized conditions, the protein yield and protein content were 24.24 % (RSM), 28.03 % (ANN-GA), 87.17 % (RSM), and 88.69 % (ANN-GA). Compared to RSM, the ANN model demonstrated a notably more significant coefficient of determination in the overall output values (RSM (0.969 (protein yield), 0.989 (protein content) and ANN-GA (0.996 (protein yield), 0.996 (protein content)), showing superior performance during validation. The SSC protein isolates contained considerable quantities of all the essential amino acids except lysine. Its good nutritional index (61.87) and high crucial amino acid score (70.98) make it a high-quality protein. According to FAO standards, the amino acid score indicates the abundance of all essential amino acids, making it a helpful protein supplement for meeting dietary requirements. Furthermore, this research highlights the potential to utilize industrial byproducts as economical substrates for protein isolation efficiently.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102088"},"PeriodicalIF":4.8,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Coupling coordination analysis of agricultural carbon reduction, pollution abatement, green expansion, and growth in Jiangsu Province, China","authors":"Zhixian Sun ,&nbsp;Yixuan Lu ,&nbsp;Xinyue Zheng ,&nbsp;Zhiheng Huang ,&nbsp;Guanxin Yao","doi":"10.1016/j.jafr.2025.102098","DOIUrl":"10.1016/j.jafr.2025.102098","url":null,"abstract":"<div><div>Synergistic advancements in agricultural carbon reduction, pollution abatement, green expansion, and growth (ACPGG) are essential for ensuring sustainable agricultural transformation. Focusing on county-level agricultural systems in Jiangsu Province (in a narrow sense), the complex interactions among ACPGG subsystems were elucidated, and a corresponding evaluation index system was established with statistical data and remote sensing data. Using the modified coupling coordination degree (CCD) model, coupling coordination of ACPGG subsystems from 2006 to 2022 was assessed. Spatiotemporal dynamics were analyzed through Dagum Gini coefficient decomposition, standard deviation ellipse, and Markov chain analysis methods complemented by the panel Tobit model to identify factors influencing the CCD. The results revealed that (1) the CCD levels of all four ACPGG subsystems generally increased, but notable interregional imbalance occurred. (2) The provincial average CCD greatly increased, with an 11.37 % increase in 2022 compared with that in 2006. The CCD spatial pattern revealed higher values in the north and lower values in the south, with the level in less than 35 % of counties surpassing intermediate coordination. (3) Interregional differences constituted the main source of overall CCD differences. Across the province, the CCD difference along the northwest‒southeast direction slightly increased. Neighboring counties with higher CCD levels could obtain positive spatial spillover effects. (4) Although there was regional heterogeneity in the CCD-induced driving effect, factors such as the annual average temperature, agricultural mechanization intensity, innovation capacity, and agglomeration yielded significant impacts. These findings provide valuable insights for decision-makers to promote coordinated ACPGG development in key food-producing areas.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102098"},"PeriodicalIF":4.8,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144308184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Eriobotrya japonica a review: Phytochemical constituents, traditional uses, and therapeutic potentials","authors":"Rony Abdi Syahputra ,&nbsp;Helen Helen ,&nbsp;Mega Carensia Gunawan ,&nbsp;Zahirah Dhiya Utari ,&nbsp;Aminah Dalimunthe ,&nbsp;Emil Salim ,&nbsp;Marianne Bastian ,&nbsp;Nurpudji Astuti Taslim ,&nbsp;Pipit Pitriani ,&nbsp;Sony Eka Nugraha ,&nbsp;Putri Cahaya Situmorang ,&nbsp;Fahrul Nurkolis ,&nbsp;Satirah Zainalabidin","doi":"10.1016/j.jafr.2025.102091","DOIUrl":"10.1016/j.jafr.2025.102091","url":null,"abstract":"<div><h3>Ethnopharmacological relevance</h3><div><em>Eriobotrya japonica</em> (Thunb.) Lindl. (EJ), commonly known as loquat, is a fruit tree from the Rosaceae family, traditionally used in various cultures for its medicinal properties. Originating from Southeast China, it has been utilized in traditional medicine across countries like Indonesia, Japan, India, and Turkey. The leaves and fruits of <em>Eriobotrya japonica</em> are known for their expectorant, anti-inflammatory, and antidiabetic effects, among others. The plant contains a rich profile of phytochemicals including phenolic compounds, flavonoids, and triterpenes, which contribute to its pharmacological activities.</div></div><div><h3>Aim of the study</h3><div>This study aims to provide a comprehensive analysis of the phytochemical constituents, traditional uses, and therapeutic potentials of <em>Eriobotrya japonica</em>. The study evaluates the scientific evidence supporting the ethnopharmacological relevance of the plant and identifies areas for future research.</div></div><div><h3>Materials and methods</h3><div>A literature review was conducted, querying several databases for research articles published in English from 1960 to February 2024. Studies included were those investigating the phytochemistry, biological activity, traditional use, and pharmacological properties of <em>Eriobotrya japonica</em>. The methodology involved the extraction and isolation of bioactive compounds, in vitro and in vivo assays to determine pharmacological effects, and toxicity studies to assess safety.</div></div><div><h3>Results and discussion</h3><div>This study reveals that <em>Eriobotrya japonica</em> contains a wealth of bioactive compounds, exhibiting notable antioxidant, anti-inflammatory, antidiabetic, and antitumor properties. Traditional uses in various cultures align with the pharmacological properties observed in scientific studies. However, the mechanisms of action of many compounds remain partially understood, and comprehensive toxicity studies are lacking. The potential for drug development from <em>Eriobotrya japonica</em> compounds is substantial, given their diverse therapeutic effects.</div></div><div><h3>Conclusion</h3><div><em>Eriobotrya japonica</em> exhibits a wide range of pharmacological activities that support its traditional uses. The presence of bioactive phytochemicals makes it a promising candidate for the development of new therapeutic agents. Future research should focus on elucidating the mechanisms of action, conducting clinical trials to confirm efficacy and safety, and exploring the potential for developing novel drugs from its constituents.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102091"},"PeriodicalIF":4.8,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144313934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial ratio of two fungal genotypes content of Naematelia aurantialba and Stereum hirsutum in nutritional growth substrate and fruiting bodies reveals their potential parasitic life cycle characteristics","authors":"Jianqiong Lan ,&nbsp;Yongkang Zhang ,&nbsp;Yingli Cai ,&nbsp;Xiaofei Shi ,&nbsp;Kaixuan Zhang ,&nbsp;Jiacheng Huang ,&nbsp;Chengmo Yang ,&nbsp;Xinhua He ,&nbsp;Fuqiang Yu ,&nbsp;Wei Liu","doi":"10.1016/j.jafr.2025.102101","DOIUrl":"10.1016/j.jafr.2025.102101","url":null,"abstract":"<div><div>The JinEr (Golden Era) mushroom is a rare and nutritionally valuable macrofungus, prized for its unique bioactive compounds and culinary properties. It is believed to form heterogeneous fruiting bodies comprising two fungal species: <em>Naematelia aurantialba</em> and <em>Stereum hirsutum</em>. While, research on their interaction, particularly regarding the cellular composition ratio within the substrate and fruiting body was limited. In this study, through whole-genome comparisons of 56 species, we identified candidate genes with intra- and inter-specific variation. Nine species-specific fragments were selected, with four primer pairs validated after evaluating amplification efficiency and melting curves. By comparing Ct values from four species-specific primer pairs, we quantified the relative proportions of both genotypes and revealed their striking spatial partitioning. The outer apex of the fruiting body showed the closest proportions (<em>S. hirsutum</em>: <em>N. aurantialba</em> = 1.51:1), with <em>S. hirsutum</em> dominance increasing progressively downward to 3.97:1 (middle of fruiting body) and 6.52:1 (base of fruiting body). Across all fruiting body sections, <em>S. hirsutum</em> genotypes predominated (77.12 % of total content), demonstrating that most edible tissue derives from this species rather than the prized <em>N. aurantialba</em>. Below the fruiting body, genotype ratios exhibited exponential divergence: increasing to 16.28:1 at 3 cm below the base, and reaching 520.92:1 at the substrate midpoint, with <em>N. aurantialba</em> becoming undetectable in deeper substrate layers. These results establish that <em>S. hirsutum</em> serves as the primary metabolic engine for substrate decomposition and nutrient acquisition. Our findings support a refined life cycle model: <em>S. hirsutum</em> initially colonizes and degrades substrates, forming the structural foundation for subsequent parasitism by <em>N. aurantialba</em> during reproductive development, ultimately yielding deformed composite fruiting bodies. This study provides the first molecular-level characterization of fungal heterogeneity in JinEr mushrooms (<em>Naematelia aurantialba</em>/<em>Stereum hirsutum</em> complex), offering fundamental insights into their life cycle and practical guidance for cultivation optimization.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102101"},"PeriodicalIF":4.8,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288792","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Genetic basis of fruit quality traits in processing tomatoes","authors":"Isabel Ortega-Salazar ,&nbsp;Richard H. Ozminkowski Jr. ,&nbsp;Jaclyn A. Adaskaveg ,&nbsp;Adrian O. Sbodio ,&nbsp;Barbara Blanco-Ulate","doi":"10.1016/j.jafr.2025.102096","DOIUrl":"10.1016/j.jafr.2025.102096","url":null,"abstract":"<div><div>Tomato varieties used for processed products, such as paste, sauces, and crushed tomatoes, differ from their fresh-market counterparts based on plant structure, fruit morphology, and fruit biochemistry. Processing tomato varieties have been bred to withstand mechanical harvesting and to yield good-quality cooked products. Although there has been substantial research on fresh-market tomatoes, there needs to be more emphasis on the traits required for processing varieties. Characteristics such as juice thickness (consistency), ease of removing fruit skin (peelability), and fruit maturity concentration may not be important to fresh-market tomato growers; however, they play crucial roles in determining the best varieties for processing. Major genes involved in many processed quality traits, often subject to significant environmental influences, have yet to be revealed. Application of advanced genomic tools and gene-editing technologies, such as CRISPR Cas9, could clarify the leading players driving these traits and support breeding efforts. This review article presents what is known about the genetics underlying important key traits in processing tomatoes that impact the product quality and production efficiency of processed tomato products and addresses areas where more work is needed.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102096"},"PeriodicalIF":4.8,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144321818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"FruitsMultiNet: A deep neural network approach to identify fruits through multi-scale feature fusion using mobile interface","authors":"Tasauf Mim ,&nbsp;Md Mahbubur Rahman ,&nbsp;Jahanur Biswas ,&nbsp;Ahmad Shafkat ,&nbsp;Khandaker Mohammad Mohi Uddin","doi":"10.1016/j.jafr.2025.102083","DOIUrl":"10.1016/j.jafr.2025.102083","url":null,"abstract":"<div><div>The breakthrough of smart supply chain systems and the rapid adoption of automation in the growing fruit production and processing sectors are driving the increasing demand for an automatic fruit classification approach. A reliable fruit classification system during harvest and post-harvest phases can minimize time, cost, and human error while modernizing the processes of sorting, labeling, and packaging. The proposed research suggests a groundbreaking autonomous fruit classification method grounded on convolutional neural networks (CNNs). The classification of fruits is often challenging due to variations that occur in the same fruit throughout its life cycle. Additionally, the diverse compositions of sizes, shapes, and colors further complicate the process and impact accuracy. This research worked with a unique dataset of 3240 images of Bangladeshi fruits, publicly available on Kaggle. The data were preprocessed before the feature extraction phase to achieve more accurate outcomes. MobileNet, VGG16, NasNetMobile, DenseNet201, InceptionV3, and Xception were experimented with in the feature extraction and performance evaluation process. The proposed research combines MobileNet and VGG16 to build a transfer learning (TL) principles-based framework named FruitsMultiNet. These models were chosen because they achieved the highest individual accuracy compared to other models. The data were fragmented into training, testing, and validation sets for eight different fruits. The proposed FruitsMultiNet achieved a 99.84 % accuracy rate, which is greater than the accuracy rates of individual Deep Learning (DL) models. The integration of FruitsMultiNet into a mobile application makes it easily accessible for individuals, adding consistency and providing consumers with a more accessible system to classify fruits automatically. The application also provides nutritional information and health benefits of the recognized fruit for humans.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102083"},"PeriodicalIF":4.8,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144288793","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A review on phyto active compounds of moringa for health benefits and as a resilience in climate change","authors":"Priya Kumari,&nbsp;S. Ramesh Kumar","doi":"10.1016/j.jafr.2025.102090","DOIUrl":"10.1016/j.jafr.2025.102090","url":null,"abstract":"<div><div>The growth in air, water and soil pollution has become major danger for world's health, causing widespread sickness and untimely death. Soil health is critical for producing risk-free food, though it is jeopardized by toxic substances like heavy metals, pesticides, plastics and overfertilization, which lead to the loss of favorable microbes as well as adulteration in groundwater. Hydrological features are polluted by industrial effluents, domestic wastewater, agricultural runoff and oil spills, intensifying environmental harm. However, atmospheric pollution, which is defined as excessive release of gases, greenhouse gases and volatile chemicals, has a negative influence on the climate but also presents significant major health risks, including respiratory ailments, cardiovascular problems and an increased chance of developing cancer. Thus, the judicious use of conventional plants comes out as a powerful instrument for environmental rehabilitation and wellness enhancement. Plants have inherent filteration properties, eliminating toxins present in the air, water and soil, reducing their negative impacts. Plants may actively extract and eliminate toxins through phytoremediation, helping to detoxify and improve water and soil quality. <em>Moringa oleifera</em>, also recognized as the “miracle tree,” holds great potential for solving the many issues caused by the change in climate. The tree's exceptional heat tolerance and capacity to make a cooler microclimate makes it an excellent choice for hot and arid areas. Moringa's mechanisms of deep roots and effective water use allow it to survive in drought circumstances, thereby encouraging water conservation. Furthermore, moringa aids in pollution reduction by absorbing pollutants and CO₂, cleaning water through its seeds and lowering soil toxins. Moringa is a nutritional and medicinal powerhouse that improves community health in addition to its environmental benefits. This analysis consolidates the discoveries of the past three decades and offers a comprehensive examination of the <em>M. oleifera</em> plant, covering its various parts and detailing its documented applications across environmental, health sectors, food and industrial.</div></div>","PeriodicalId":34393,"journal":{"name":"Journal of Agriculture and Food Research","volume":"22 ","pages":"Article 102090"},"PeriodicalIF":4.8,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}