Synthesis of a new acetylcholinesterase-activated curcumin-derived fluores cent probe for highly sensitive and sensitive detection of diazinon pesticide and its application in foodstuffs and biological systems.

Sodium pentachlorophenol induces inflammatory damage via the ATP2B4/Ca2+/ROS signaling axis in mouse testes.

This article presents the Knowledge Graph for Agricultural Prices (KGAP), which is a knowledge graph (KG) that integrates agricultural commodity prices data from three major Brazilian institutions: Cepea, Conab, and Ipea. The datasets, originally published in heterogeneous formats, were harmonized and converted into RDF/Turtle using the Almes Core metadata schema as the data model. Agricultural products were classified with the Agricultural Product Types Ontology (APTO), and geographic references were aligned with GeoNames identifiers, ensuring semantic consistency and adherence to the FAIR data principles. KGAP is archived on Zenodo and GitHub, and hosted on the Platform Linked Data Nederland (PLDN) with a public SPARQL endpoint. It contains metadata, price observations, product types, and location entities, allowing users to query and compare agricultural prices across institutions, regions, and time periods. The knowledge graph can potentially support applications in agricultural economics, policy analysis, journalism, data science, and machine learning. By explicitly modeling metadata such as reference quantities, KGAP enables semantically-aware queries that prevent common analytical errors and reveal insights previously obscured by data heterogeneity.

Dose and food matrix effects on selenium retention in mouse tissues from selenium-rich vegetables and rice: Implications for selenium bioavailability.

Electrochemical sensor based on Pt-Au nanoparticles-decorated 3D reduced graphene-modified screen-printed electrode for simultaneous determination of herbicides isoproturon and diuron in agricultural products

A review of integrating sphere techniques for measuring optical absorption and scattering in agricultural products

Procymidone induces muscle atrophy and impaired myocyte fusion via the TNF-α/NF-κB/ROS pathway in developing zebrafish embryos.

Climate change is silently reshaping childhood, especially in the world's most vulnerable regions. This scoping review explores how environmental stressors-such as rising temperatures, altered rainfall patterns, droughts, and floods-affect the nutritional status of children under 5 years of age. A systematic search of four major databases yielded 1586 studies, of which 37 met the inclusion criteria. Our findings reveal that climate change impacts child malnutrition primarily through indirect pathways influenced by food insecurity, disruptions in agricultural production, and deep-rooted socioeconomic inequalities. Stunting emerged as the most frequently and severely affected outcome, while overweight and obesity were rarely addressed-highlighting important gaps in the current evidence. Socioeconomic factors such as caregiver education, rural residence, and household income were consistently identified as key variables, shaping the extent to which climate risks translate into nutritional harm. Most studies focused on countries in Sub-Saharan Africa and South Asia, where the burden of vulnerability is greatest. Beyond documenting associations, this review draws attention to a broader reality: that child nutrition today is threatened not by a single crisis but by a web of interconnected challenges. As the global polycrisis unfolds, early childhood nutrition demands urgent, coordinated responses that are evidence-based, socially just, and future-oriented.

Aflatoxins are toxic compounds produced by certain molds, primarily Aspergillus flavus and Aspergillus parasiticus. These mycotoxins can contaminate various agricultural products, including grains, nuts, and seeds, posing serious health risks. Similarly, a significant portion of Traditional Chinese Medicines (TCMs) is either cultivated through artificial means or harvested from natural environments, making it susceptible to contamination as well. By addressing these critical aspects, the review aims to enhance the safety and quality of TCMs. Despite extensive research on aflatoxins in food crops, systematic reviews focusing on their contamination in TCMs remain limited. This review aims to bridge this gap by synthesizing current knowledge on storage conditions and detoxification strategies for TCMs vulnerable to aflatoxin contamination.

Ensuring consumers' safety and maintaining regulatory compliance requires assessing the presence of pesticide residues in agricultural products. While sulfoxaflor, a widely used sulfoximine insecticide, is effective in pest control, its environmental impact has been increasingly scrutinized. Concerns over sulfoxaflor's harm to pollinators have led to its prohibition in the EU as of 2022, making its detection a critical aspect of environmental and food safety monitoring. Here, we present an innovative, highly sensitive, semi-quantitative indirect competitive lateral flow immunoassay (icLFIA) for detecting sulfoxaflor in flower leaves. This icLFIA achieves a visual limit of detection of 4μg/L in plant extracts by implementing a highly specific monoclonal antibody. Moreover, it has demonstrated great reproducibility, making it an eco-conscious test for routine analysis at the point of need using a simple hot water extraction and incorporating sustainable packaging. The icLFIA has been tested on commercially available ornamental flowers and critically compared against an in-house confirmatory liquid chromatography-tandem mass spectrometry (LC-MS/MS) method. This development offers a cost-effective and reliable solution for sulfoxaflor residue assessment. The combination with a straightforward and simplified extraction protocol for flower leaves, makes it accessible to non-experts (e.g. beekeepers).

Nanoplastics in soil and aquatic ecosystems: Sources, impacts, and nature-based remediation strategies.

Monoclonal antibody production based on different chelators and development of time-resolved fluorescent microsphere lateral flow immunoassays for lead detection.

Impacts of coal mining on heavy metal concentration and microbial community composition in surrounding soils.

The mechanisms of neocryptolepine inhibiting Aspergillus flavus growth and aflatoxin B1 accumulation in corn.

Occurrence and concentration of agricultural phytosanitary residues in bivalve mollusks collected from Golfo Nuevo, Argentina.

This study develops an Internet of Things (IoT) system to support horticultural farming in Berjo Village, Karanganyar District. The system monitors soil parameters such as pH and moisture in real-time, aiding farmers in making informed decisions regarding fertilization and watering. The implementation aims to improve efficiency and crop yields of cultivated flowers, reducing losses caused by improper soil conditions. Additionally, the paper discusses the role of technology in transforming agriculture, demonstrating that IoT adoption offers innovative solutions to address unpredictable rainfall challenges and foster local interest in flower cultivation. Government support is crucial for the sustainability of this innovation, ensuring it benefits smallholder farmers and enhances agricultural productivity through advanced technology integration.

Rapid, in vivo detection and identification of pathogens in soybean plants using portable surface-enhanced Raman spectroscopy.

PMT-enhanced LIBS with precision time control for ultra-sensitive selenium detection in rice.

Alanycarb induces oxidative stress-mediated mitochondrial dysfunction in mammary epithelial cells of cattle.

Rapid characterization of heavy metals in soil using a novel integrated strategy for near-infrared spectroscopy models.