Nutrient Levels Research Articles

Maternal Nutrition and Human Milk Nutrients: A Scoping Review.

To explore the influence of maternal nutrition factors, including body mass index, nutritional supplementation, and dietary intake during the breastfeeding period, on macro and micronutrient composition in human milk. We conducted a scoping review using the PRISMA-ScR checklist, initially identifying 5,984 original studies published in the English language from PubMed, Scopus, and Web of Science that presented findings on the association of maternal nutritional factors on human milk nutrient composition. After screening the title and abstract, we selected 69 studies for full review, including 3 studies found through checking reference lists. After full review, we included 23 studies in this scoping review. Most studies found maternal body mass index and supplement consumption affected human milk macro and micronutrient composition, whereas inconsistent results were found on the relationship between maternal diet and human milk nutrients. Methodologies varied substantially across studies, especially for milk sample collection methods and maternal nutrition assessments. Maternal nutrition factors may affect levels of human milk nutrients, requiring maternal nutrition monitoring during breastfeeding. However, given the considerable variability in the results between studies and methodological approaches, further studies should use standardized and validated procedures to strengthen the findings on this topic.

Sustainable Microbial Lead Removal Using an Upflow Anaerobic Sludge Blanket Reactor: Advancing Eco-Friendly Solutions for Heavy Metal Remediation

This study investigates the use of a UASB (Upflow Anaerobic Sludge Blanket) reactor operating under continuous anoxic conditions to remediate Pb(II) contamination in aqueous environments. Two experimental runs were conducted to evaluate the microbiome’s performance in removing Pb(II) at varying concentrations, ranging from 80 to 2000 ppm, while monitoring nitrate and Pb(II) levels. Metabarcoding of the 16S rRNA gene was done to understand the detoxification mechanisms utilised by the microbial community in Pb(II) removal. The system demonstrated high robustness, achieving up to 99% Pb(II) removal efficiency with sufficient nutrient availability, particularly at 15 g/L yeast extract (YE), compared to lower nutrient levels of 5 g/L YE. Denitrification was identified as the dominant mechanism of detoxification, supported by additional processes such as biosorption, sulfur-reducing bacterial activity, bioprecipitation, and bioremoval. Analysis of the precipitate recovered from the reactor indicated the presence of elemental lead, PbS, and PbO, highlighting the potential for lead recovery. These findings suggest that the system not only effectively removes Pb(II) from contaminated environments but also offers a sustainable pathway for lead recovery through smelting, making it a promising circular bioremediation strategy. The results indicate that this biological approach is a viable solution for lead pollution and recovery in industrial applications.

Feedstock Characterization for Enhanced Heat Recovery from Composting Processes: A Review

Compost Heat Recovery Systems (CHRS) sustainably capture heat from composting waste biomass, helping reduce greenhouse gas emissions and fossil fuel reliance. The choice of feedstock affects the performance of CHRSs as it controls the microbial activities and the amount of heat generated. This review evaluates plant-based, animal-derived, and non-agricultural feedstocks to optimize CHRS energy recovery. A systematic review of 244 studies, published from 1996 to 2023 and available on Scopus, Web of Science, and external databases, categorized feedstocks based on properties like carbon-nitrogen ratio (C/N), moisture content, bulk density, and heating value to assess their impact on energy recovery and compost quality. The review followed the PRISMA guidelines, excluding irrelevant documents and those that lacked quantitative data. Animal-based materials, which have high levels of moisture and nutrients, such as nitrogen (14.50–32.20 g/kg TS) and phosphorus (13.0–13.5 g/kg TS), promote rapid growth of microbes and consistent heat production supported by their stable carbon content (353.8–450.0 g/kg TS) and optimal C/N ratios (5.90–28.90). On the other hand, plant-based materials that are rich in volatile solids (327.2–960.0 g/kg TS) and lignin (36.7–290.0 g/kg TS) offer a steady and prolonged release of heat but decompose more slowly.

Evaluation of genetic diversity in some hybrid individuals of honeyberry (Lonicera caerulea L.) based on fruit characteristics, leaf morphology, vitamin C, antioxidant activity, and biochemical and nutritional contents

BackgroundGenetic diversity is a prerequisite for breeding programs, and one of the main goals here is to obtain quality products. Therefore, this study aims to evaluate the genetic diversity in some hybrid individuals of honeyberry (Lonicera caerulea L.) based on fruit characteristics, leaf morphology, vitamin C, antioxidant activity, biochemical, and nutritional content. In this context, superior quality individuals have been identified based on the 42 variables examined in our study. These hybrid individuals can be economically incorporated into production after the registration stages, and their sustainability for use in breeding programs can also be ensured.ResultsThe fruit weight ranged from 0.71 (‘H11’) to 1.66 g (‘H6’). The ascorbic acid varied between 17.13 (‘H7’) and 20.64 mg AAE/100 g (‘H15’). The antioxidant activity changed between 12.59 (‘Store’) and 15.03 µmol Trolox g–1 (‘Aurea’). The total anthocyanins were found to be highest in ‘Borrel Beast’ (163.79 mg cyn-3-gluc 100 g–1), followed by ‘H8’ (163.20 mg cyn-3-gluc 100 g–1). The highest nutrient levels in the fruits were found in the ‘H10’ individual, with calcium (2445.77 mg kg–1), potassium (2274.36 mg kg–1), phosphorus (2123.27 mg kg–1), magnesium (1263.95 mg kg–1), and sulfur (859.62 mg kg–1), respectively. The highest nutrient levels in the leaves were found in the ‘H14’ individual for calcium (19,493.21 mg kg–1), ‘H5’ for magnesium (5643.52 mg kg–1), ‘H8’ for sulfur (2312.11 mg kg–1), ‘H6’ for phosphorus (2007.51 mg kg–1), and ‘H6’ for potassium (1099.32 mg kg–1). In general, the nutrients in the fruit exhibited significant correlations among themselves at different levels (*, **, ***). Within the scope of principal component analysis, the first 8 principal components explained 80.69% of the total variance. According to the cluster and population analyses, it was determined that there was a high variation in subgroup B2. Additionally, although honeyberry is a relatively new fruit in Türkiye, efforts have begun to develop new cultivars through hybrid breeding.ConclusionsWhen 42 variables were evaluated together to determine genetic diversity, hybrid individuals ‘H14’, ‘H5’, ‘H8’, and ‘H1’ were identified as superior individuals, respectively.

Evaluating the trade-offs between nutrient and cadmium levels in soils in northeastern China: Accounting for variations in soil factors

Agricultural soils have relied on the application of fertilizers to enhance soil fertility and yields in response to increasing food demands. However, the potentially hazardous trace elements that accumulate in soils have been largely overlooked. In this study, we set out to determine the soil factor indicators in croplands using Exploratory Factor Analysis to illuminate the trade-off between surplus soil nutrients and cadmium (Cd) accumulation as a result of fertilizer application. The research in northeastern China highlights the fact that studies tend to ignore the accumulation and distribution of hazardous heavy metals in production fields in favor of an over-emphasis on soil fertility indicators; an ultimately unsustainable approach. The model showed that soil nutrient could be identified based on three soil factors: soil organic matter, soil available nutrients, and soil nutrient buffer structures. Fertilization enhanced the level of available nutrients and significantly increased both soil organic matter and available phosphorus by 0.71 % and 11 mg kg−1, respectively. However, the long-term application of phosphorus (P) leads to a P-surplus and leaves soils more susceptible to Cd accumulation. The 90th percentile estimate of soil Cd concentration was 1.4 times higher than the P-optimal level. Scenario analyses of long-term fertilizer management indicated that, over a 50-year simulation period, the impact of Cd accumulation in soils in traditional agriculture was insignificant. However, prolonged application of excess P-fertilizer would lead to a continuous increase in the concentration of accumulated Cd from 0.17 mg kg−1 to 0.40 mg kg−1. Trade-off and scenario analyses guide agricultural fertilization practices to preserve soil quality while sustaining productivity.

Top-down predators shape soil bacterial community composition while bottom-up nutrients drive bacterial abundance

Although the top-down and bottom-up concept in microbial food-webs has been a primary interest in ecology, less is still known about it in soil ecosystems. Protists are the primary top-down predators of bacterial communities, altering their compositions, while the bottom-up resources are the primary factors limiting bacterial growth. Here, we hypothesized that the top-down predators modulate soil bacterial community composition, while the bottom-up nutrients control the bacterial growth and population. To precisely control nutrient levels, we used an inert soil substitute consisting of a combination of calcined clay and sand. Nutrients equivalent to the reference paddy field soil were added to microcosms as a control treatment. To investigate the effects of C, N, and P, six additional bottom-up treatments in the absence and double amounts of the nutrients were prepared. Four top-down treatments (no protist addition, Acanthamoeba castellanii, Vermamoeba vermiformis, and Heteromita globosa) were set up for each bottom-up treatment. A total of 252 microcosms under 28 treatments were incubated. Bacterial communities were analyzed using high-throughput sequencing and real-time PCR in the 1st, 3rd, and 5th weeks. The results revealed that the top-down predators significantly altered the bacterial community composition, and the bacterial population was predominantly controlled by the bottom-up nutrients. Analysis of absolute abundance data demonstrated that both top-down and bottom-up factors shaped the bacterial community structure (community composition and population). Random forest analysis classified the amplicon sequence variants associated with the treatments, showing that mostly similar families were affected by both bottom-up and top-down factors. In conclusion, the results of this study fully supported our hypothesis that top-down predators alter community composition, while bottom-up factors influence bacterial population dynamics.

Nanotechnology Interventions in Fruit Production: Enhancing Production and Quality

Nanotechnology has gained significant importance in enhancing fruit production and quality, offering novel solutions to challenges faced by traditional horticultural practices. The various applications of nanotechnology in fruit cultivation, focusing on Nano fertilizers, nanopesticides, nano-based fungicides, and post-harvest management technologies. Nanofertilizers have shown promise in improving nutrient uptake efficiency, stimulating vegetative and reproductive growth, enhancing yield, and reducing environmental impacts compared to conventional fertilizers. Similarly, nanopesticides and nanofungicides provide targeted pest and disease management, reducing the overuse of chemical inputs and minimizing their harmful effects on soil health. Post-harvest nanotechnologies, such as silver and zinc oxide nanoparticles, have been effective in extending the shelf life of fruits by preventing microbial decay and maintaining fruit firmness. Innovations in smart packaging, such as nanocomposite films and nano coatings, help slow down ripening and spoilage, significantly reducing post-harvest losses. Precision fruit cultivation techniques utilizing nanosensors and nano-based biosensors offer enhanced monitoring of soil conditions, nutrient levels, and early pathogen detection, improving overall fruit quality and sustainability. Despite these advancements, the widespread adoption of nanotechnology in fruit production is still limited by concerns related to public acceptance, potential environmental impacts, and regulatory challenges. Continued research is needed to address these issues and to explore the full potential of nanotechnology in fruit production.

Development of High-Quality Organic Fertilizer from Biomass Waste and the Application of Biochar in Local Areas of Sakon Nakhon Province, Northeastern Thailand

This study investigates the production of high-quality organic fertilizers from biomass waste in the Ban Wa Yai community of Sakon Nakhon Province, Northeastern Thailand, aimed at promoting sustainable agricultural practices amidst challenges such as soil degradation and reliance on chemical fertilizers. The primary objective was to develop organic fertilizers that enhance soil health and support plant growth while utilizing locally sourced biomass materials, including cow and buffalo manure, finely ground fermented leaf scraps, and weed debris. A fermentation process lasting 15 to 30 days was used, integrating biochar to improve nutrient profiles and microbial activity. Results showed optimal pH levels of 8.04 after 15 days and 7.94 after 30 days of fermentation, beneficial for addressing the region’s acidic soil conditions (pH 4.67 - 5.38). The germination index (GI) was notably high at 129 ± 1.86 after 30 days, indicating effective growth promotion potential. Analytical assessments confirmed nitrogen (N), phosphorus (P), and potassium (K) concentrations in the organic fertilizers met or exceeded organic standards, supporting plant nutrition and fostering healthy microbial ecosystems. The organic matter (OM) and organic carbon (OC) content were approximately 40 - 60 % higher than commercial alternatives, enhancing soil structure, aeration, and water retention. Additionally, calcium (Ca) and magnesium (Mg) levels improved the nutrient profile, with Ca slightly exceeding standard limits, which helps ameliorate soil acidity. Economic analysis indicated a 40 % reduction in fertilizer costs for local farmers, promoting a shift towards organic practices. Overall, this study emphasizes the significance of self-reliance and the sufficiency economy philosophy in fostering sustainable agriculture practices within the Ban Wa Yai community. By utilizing local resources and transitioning from chemical fertilizers to high-quality organic fertilizers, the community enhances agricultural productivity while promoting economic independence and resilience. Such initiatives exemplify the potential for integrating traditional practices with modern agricultural methods to ensure a sustainable future. HIGHLIGHTS The study developed high-quality organic fertilizers from local biomass waste, enhancing sustainable agricultural practices in the Ban Wa Yai community. Fermentation resulted in optimal pH and nutrient levels (N, P, K, Ca, and Mg), surpassing commercial fertilizer standards and improving soil health. Transitioning to organic fertilizers led to a 40 % cost reduction for farmers, promoting self-reliance and aligning with the sufficiency economy philosophy. GRAPHICAL ABSTRACT

Ecological Dynamics and Conservation Strategies for Mediterranean Salt Marshes: Insights from a Pilot Study of Biodiversity and Environmental Drivers in the Palud Marsh, Croatia

Salt marshes support high biodiversity and provide essential ecosystem services, yet are increasingly threatened by climate change, reduced freshwater input, and human activities. This pilot study examined the physico-chemical characteristics and biodiversity of the Palud salt marsh in Istria, Croatia, during July 2021, focusing on phytoplankton, zooplankton, and macrozoobenthos communities across different habitats. The results show that while parameters like water temperature and pH remained stable, dissolved oxygen and nutrient levels fluctuated significantly. Water depth decreased due to drought and tidal oscillations, affecting salinity and nutrient concentrations. Phytoplankton communities were dominated by Bacillariophyta, with Cryptophyta, particularly Cryptomonas sp., having the highest abundance. Zooplankton communities were dominated by Rotifera, especially Brachionus plicatilis, while the macrozoobenthos communities were dominated by Ostracoda, with some variation in gastropod and chironomid abundance across sites. These findings indicate the dynamic nature of plankton and benthos communities in response to changing water levels in the Palud marsh. This study highlights the need for targeted conservation strategies to preserve the ecological integrity of Mediterranean salt marshes. Sustainable management practices must account for water level fluctuations, the role of aquatic vegetation, and the resilience of these ecosystems, emphasizing their importance in supporting biodiversity and ecosystem services in the face of environmental change.

Biological and ecological consequences of combined biofilm, shellfish and phytoremediation along a wastewater treatment system from shrimp aquafarm

Biological treatments have been widely applied to remove wastewater nutrients, while single biological treatment is insufficient to achieve desired efficiency. Moving beyond removal of nutrient, equivalent focus on ecological consequences and biotic pollutants (e.g., pathogens) along the decontamination procedures is lacking. Herein, we established an efficient biological treatment system by integrating biofilm, shellfish and Spartina, which efficiently reduced the levels of wastewater nutrients (> 62.7 %) and sediment antibiotics (> 84.6 %) before discharge, with unsatisfied removal of total phosphorus and diversified potential pathogens. Our biological treatments potentiated C storage and ammoxidation process, and mitigated CH4 emission, of which are conjointly governed by the direct effect of nutrient pollutions and the indirect effect of antibiotics. In contrast, denitrification potential in wastewater and sediment was divergent, resulting in an uncertainty on net N2O emission. We identified diverse ammonia-oxidizing bacteria assistors that were candidates for improving ammoxidation. Intriguingly, bacterial biomakers could quantitatively and accurately diagnose wastewater entropy water quality index and sediment multi-nutrient cycling index, with overall 81.9 % and 91.1 % accuracy, respectively. The combined biological treatments can be a double-edged sword between water quality improvement and mitigating pathogenicity. These findings greatly deepen our understanding of the biological and ecological consequences of a biofilm-shellfish-phytoremediation system, and accordingly some strategies are informed for improving decontamination efficiency.

Bibliometric Analysis of Research on the Effects of Conservation Management on Soil Water Content Using CiteSpace

As global climate change intensifies and population growth continues, water scarcity has emerged as a critical constraint to sustainable agricultural development. Conservation management, an effective water-saving technique, plays a crucial role in enhancing soil water content (SWC) and promoting sustainable agriculture. This study utilizes CiteSpace to perform a bibliometric analysis of research literature on the effects of conservation management on SWC, encompassing publications indexed in the Web of Science database from 1992 to 2024. By systematically examining 599 papers, we analyzed key research institutions, authors’ collaborative contributions, keyword co-occurrences, and shifts in research hotspots related to conservation management and its impact on SWC. The results reveal that significant topics in this field include “conservation agriculture”, “water use efficiency”, and “conservation tillage”. China (225, 38%) and the United States (129, 22%) lead in publication volume, whereas European countries and institutions show a higher degree of collaboration. The research focus has transitioned from examining the impacts and mechanisms of conservation tillage on crop yield and soil physical and chemical properties to long-term monitoring, water use efficiency, and mitigation. Furthermore, keyword co-occurrence and temporal analysis highlight a growing emphasis on soil quality and greenhouse gas emissions. In the future, it remains imperative to enhance the implementation of automated monitoring systems, secure long-term continuous monitoring data, promote conservation agriculture technology, and bolster the early warning network for extreme climate events. These measures are crucial for preserving soil nutrient levels and ensuring the sustainable development of agriculture.

Spatial Distribution of Calanoida in Freshwater Ecosystems and Their Application as a Food Web Assessment Index

Calanoida is a representative oligo-mesotrophic indicator species, frequently used as an index for assessing lake ecosystems’ health. Additionally, they function as trophic intermediates in the food web, connecting primary producers and higher consumers within lake ecosystems’ food chains. However, research cases that present the implications of habitat environment assessments, such as ecosystem structure and water quality, represented by these taxa remain insufficient. In this study, we conducted research across 49 lakes in South Korea, analyzing the occurrence characteristics of Calanoida and examining the correlations between Calanoida abundance and water quality parameters and the morphological-based functional groups of phytoplankton. Calanoida were more frequently observed in lakes characterized by greater size, increased depth, and reduced levels of anthropogenic land use. Furthermore, Calanoida occurrence was more probable in environments characterized by lower electrical conductivity and suspended solids concentrations. Their presence was also associated with conditions where Large mucilaginous phytoplankton (MBFG7), which includes cyanobacteria, and Large filamentous phytoplankton (MBFG3) were prevalent. An analysis of the environmental factors influencing the increase in Calanoida abundance revealed an inverse relationship between their abundance and water quality factors, including nutrient levels. This trend was observed consistently across all genera. Additionally, Calanoida were observed to maintain a high abundance in environments where the presence of the Large mucilaginous phytoplankton group (MBFG7) was relatively high. In contrast, Cyclopoida exhibited varying occurrence characteristics by genus in response to different water quality factors. Based on these results, we suggest that Calanoida, commonly used as an indicator of mesotrophic conditions, can also serve as a valuable indicator for evaluating the functionality of the food web. While Calanoida struggle to inhabit environments characterized by degraded water quality, they demonstrate the ability to adapt and persist in environments containing large, mucilaginous, or filamentous phytoplankton species that are typically challenging for other zooplankton to graze.

Nutritionally physiological cell culture medium and 3D culture influence breast tumour proteomics and anti-cancer drug effectiveness

Many drugs have been discontinued during phase II/III breast cancer clinical trials due to lack of clinical efficacy, indicating shortcomings in predictive value of preclinical data. Nutrient availability in the tumour cell microenvironment and the dimensionality of in vitro tumour cells likely impact on drug responsiveness. Global proteomics experiments were conducted to assess the impact of nutrient availability and dimensionality of culture. Protein set enrichment analyses identified “pathways in cancer”, “focal adhesion” and “ECM receptor in interaction” related to cell culture dimensionality in MDA-MB-231 cells. In MCF-7 cells, 4 pathways were influenced by medium composition, and 2 pathways were influenced by cell culture dimensionality (2D vs. 3D). These pathways were also identified using KEGG analyses. Eight drugs were selected for investigation according to the differential expression of their putative or known target proteins. The influence of medium composition on drug effectiveness was explored using the “Melbourne Medium” (MM), developed to have nutritionally physiological levels of metabolites as compared with conventional (hyper-nutritional) cell culture medium (CM). The influence of dimensionality on drug effectiveness was also explored, using an innovative 3D viability assessment combining automated confocal microscopy and image analysis. Dimensionality of culture appeared to have a greater influence on the proteome and drug effects than variation in nutrient levels. The number of differentially expressed proteins in the different media was greater in 2D than 3D. We conclude that the risk of qualifying inactive compounds in preclinical assessment may be mitigated using additional models incorporating physiological media and 3-dimensionality.

Spatial-temporal characteristics and the importance of environmental factors in relation to algal blooms in coastal seas

In the prediction of algal blooms with the artificial intelligence (AI) technology, the proper selection of the indices is crucial to the quality of the results. Although eutrophication and climate change have been identified as the main contributors to algal blooms, limited knowledge of the relationships among environmental factors hinders the accurate and correct AI prediction. To explore the importance of environmental factors in the occurrence of algal blooms in coastal seas and facilitate the selection of inputs for the prediction model, this study examines observed water quality data and analyzes their relationship using machine learning methods. It was found that nutrients, water temperature, and salinity play important roles in controlling algal blooms in coastal seas, and their influence varies depending on locations. The high-risk cases of algal bloom mainly occur in environments with medium salinity (22–28 psu), particularly in open estuaries with high nutrient levels. According to the feature importance analysis, water temperature presented the most significant impact on algal bloom risk compared to other environmental factors. The variations of water temperature and Chl-a concentration are synchronous when the water temperature is below 32 °C. Additionally, the relationships between inorganic nutrients (NO3−-NO2− and Ortho-P) and Chl-a exhibit asynchronous across multi-temporal scales. The uptake of inorganic nutrients occurs in large quantities within the 24 h prior to the boom in Chl-a concentration. This demonstrates that variations in concentration of inorganic nutrients can be considered as crucial factors in algal bloom predictions, and their significant decrease can be served as an important signal of an impending algal bloom. This study enhances our understanding of the mechanisms behind algal blooms and facilitates their management and prediction strategies in coastal seas.

Adaptation of High-Altitude Plants to Harsh Environments: Application of Phenotypic-Variation-Related Methods and Multi-Omics Techniques

High-altitude plants face extreme environments such as low temperature, low oxygen, low nutrient levels, and strong ultraviolet radiation, causing them to adopt complex adaptation mechanisms. Phenotypic variation is the core manifestation of ecological adaptation and evolution. Many plants have developed a series of adaptive strategies through long-term natural selection and evolution, enabling them to survive and reproduce under such harsh conditions. This article reviews the techniques and methods used in recent years to study the adaptive evolution of high-altitude plants, including transplantation techniques, genomics, transcriptomics, proteomics, and metabolomics techniques, and their applications in high-altitude plant adaptive evolution. Transplantation technology focuses on phenotypic variation, which refers to natural variations in morphological, physiological, and biochemical characteristics, exploring their key roles in nutrient utilization, photosynthesis optimization, and stress-resistance protection. Multiple omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, have revealed genes, regulatory pathways, and metabolic networks associated with phenotypic variations at the genetic and molecular levels. At the same time, the limitations and deficiencies of current technologies used to study plant adaptation to high-altitude environments were discussed. In addition, we propose future improvements to existing technologies and advocate for the integration of different technologies at multiple levels to study the molecular mechanisms of plant adaptation to high-altitude environments, thus providing insights for future research in this field.

How does land use affect soil quality and biological fertility in the arid ecosystem of Kutch, India?

Arid regions cover a large part of the Earth's surface and are at risk of increased agricultural activity and expected shifts in climate. Unfortunately, there is still a lack of comprehensive knowledge about the impact of land useon soil quality in these soils. Using a state factor approach, we studied the effects of different land use types on soil physico-chemical and biological characteristics in the Bhuj region of Kutch, Gujarat (India). Our analysis identified six key land uses: barren land (BL), natural forest (NF), grazing land (GL), and cultivated land under monocropping (MC), intercropping (IC), and crop rotation (CR). Our findings demonstrated significantly higher levels of soil organic carbon (SOC), calcium carbonate (CaCO3), plant-available nutrients (nitrogen, potassium, sodium, calcium, and magnesium), and enzyme activities in NF and GL (P < 0.05) than cultivated land and BL. For instance, SOC content in NF and GL exceeded that in cultivated land by 130% and 73.33%, respectively. Conversely, soil pH and plant-available phosphorus were higher in cultivated land. A strong correlation was observed between SOC and soil enzymes (P < 0.05), highlighting the importance of preserving SOC for optimal soil biological health in arid regions. Our study provides crucial baseline data on various soil quality indicators for an arid region, informing the development of landscape-scale models and guiding effective land management strategies.

Mechanism of stabilized sludge-driven remediation in saline-alkali soil: New insights from salt-discharge capacity and microbially mediated carbon/nitrogen cycles

Stabilized sludge products (SSP) are promising conditioners for saline-alkali soils, capable of enhancing soil physicochemical properties and stimulating microbial communities. However, there is limited knowledge regarding the effects of SSP on soil salt-discharge capacity and carbon/nitrogen cycles. Here, a six-month incubation experiment was conducted to evaluate SSP (0 % ~ 60 %) on saline-alkali soil properties, salt leaching, and microbial functions. It was found that after SSP (≥30 %) treatment, saline-alkali soils were significantly remediated (p < 0.01), with organic matter increasing by 5.3–9.8 times, nutrient levels rising to first-grade, porosity improving by 34.3 % ~ 93.3 %, and meso/macro-aggregates content increasing by 39.0 % ~ 201.3 %. The Na+ leaching rate increased from 1.1 % to 53.3 % ~ 79.3 %, indicating a substantial improvement in salt-discharge capacity. Correlation analysis revealed that SSP organics loosened pore spaces by promoting soil particle agglomeration, which in turn improved salt-discharge capacity. Further, the 30 % SSP significantly increased the microbial functions involved in nutrient cycling, such as carbon fixation (photosynthetic pathway), nitrogen fixation, dissimilatory nitrate reduction, and nitrification (p < 0.01). Contribution analysis implied that the up-regulation of gene abundance assigned to carbon/nitrogen cycle was attributed to balancing effect of SSP on dominant genera. Finally, the excellent growth of alfalfa seedlings verified the soil productivity restoration of degraded saline-alkali soils. These findings provide new insights into salt stress alleviation and nutrient cycling in degraded saline-alkali soils.

Investigating reformulation in the Canadian food supply between 2017 and 2020 and its impact on food prices.

This study examined the relationship between reformulation and food price in Canadian packaged foods and beverages between 2017 and 2020. Matched foods and beverages in the University of Toronto Food Label Information and Price 2017 and 2020 databases were analyzed (n=5774). Price change by food category and by retailer were compared using Wilcoxon signed-rank tests. The proportion of products with changes in calories and nutrient levels were determined and mixed-effects models were used to examine the relationship between reformulation and price changes. The Food Standards Australia New Zealand (FSANZ) nutrient profiling model was applied to calculate nutritional quality scores and mixed-effects models were used to assess if changes in nutritional quality score were associated with price changes. Large grocery retailers by market share in Canada. Foods and beverages available in 2017 and 2020. Food price changes differed by retailer and by food category (e.g., increased in Bakery, Snacks etc; decreased in Beverages, Miscellaneous etc.). Nutrient reformulation was minimal and bidirectional with the highest proportion of products changing in sodium (17.8%; 8.4% increased and 9.4% decreased). The relationship between nutrient reformulation and price change was insignificant for all nutrients overall and was not consistent across food categories. Average FSANZ score did not change (7.5 in both years). For Legumes and Combination dishes, improvements in nutritional quality were associated with a price decrease and increase, respectively. Stronger policies are required to incentivize reformulation in Canada. Results do not provide evidence of reformulation impacting food prices.

Effect of area exclosure on soil quality and community perception in Central Ethiopia

Area exclosure is a commonly practiced technique to enhance soil quality in areas that have suffered from degradation. This study aimed to investigate the impact of area exclosure on soil quality improvement and assess the perception of the local community toward this practice at the central part of Ethiopia. Soil samples were collected from 60 plots, with 30 plots representing each land management area. Statistical analysis of the soil data was performed using Analysis of Variance in SPSS software to compare variations between land management areas. A semi-structured questionnaire was developed to assess respondents’ perceptions regarding area exclosure’s impact on soil quality improvement and socioeconomic development. Descriptive statistics and multiple linear regression models were used to analyze the data. The findings revealed that soil characteristics such as moisture content, bulk density, levels of exchangeable cations (calcium, magnesium, and potassium), cation exchange capacity, and organic matter were significantly (P &amp;lt; 0.05) higher in the area exclosure compared to open grazing land. Furthermore, a large majority of participants (90%) reported deriving benefits from the area exclosure, including aesthetic and recreational value, employment opportunities, and availability of wood products. The exclosure area exhibited significantly (P &amp;lt; 0.05) higher levels of soil nutrients than grazing land. Furthermore, exclosure areas displayed enhanced cation exchange capacity, total nitrogen content, availability of phosphorus, soil organic matter, and organic carbon compared to the open grazing site. To enhance soil quality in exclosures, efforts must be made to reduce human-induced disturbances. It is crucial to restrict livestock access and promote the growth of appropriate vegetation to facilitate the regeneration of woody plant species in exclosure areas.

The Chemistry of Phytoplankton.

Phytoplankton have a high potential for CO2 capture and conversion. Besides being a vital food source at the base of oceanic and freshwater food webs, microalgae provide a critical platform for producing chemicals and consumer products. Enhanced nutrient levels, elevated CO2, and rising temperatures increase the frequency of algal blooms, which often have negative effects such as fish mortalities, loss of flora and fauna, and the production of algal toxins. Harmful algal blooms (HABs) produce toxins that pose major challenges to water quality, ecosystem function, human health, tourism, and the food web. These toxins have complex chemical structures and possess a wide range of biological properties with potential applications as new therapeutics. This review presents a balanced and comprehensive assessment of the roles of algal blooms in generating fixed carbon for the food chain, sequestering carbon, and their unique secondary metabolites. The structural complexity of these metabolites has had an unprecedented impact on structure elucidation technologies and total synthesis, which are highlighted throughout this review. In addition, the influence of biogeochemical environmental perturbations on algal blooms and their influence on biospheric environments is discussed. Lastly, we summarize work on management strategies and technologies for the control and treatment of HABs.