The utilization of irrigation water contaminated with antibiotics can potentially affect the growth and production of metabolites in crops. Thus, the effect of Ciprofloxacin (CIP) in irrigation water on the morphological characteristics and polyphenol content in the Pasakalla variety of quinoa was evaluated. Quinoa seeds were sown and irrigated twice weekly with different CIP doses (1, 10, and 100 µg/L). The plant was divided into roots, leaves, panicles, and grain to measure their morphological characteristics and antioxidant properties (the content of total polyphenols, antioxidant capacity, and polyphenolic profile). Root length and biomass of the plant were not affected by the dosage of CIP during physiological maturity. On the contrary, plant growth was reduced (16%) when 10 ug/L of CIP was used. On the other hand, the presence of high CIP concentrations (100 ug/L) improved the biosynthesis of polyphenols and antioxidant capacity by 52 and 59% compared to the control. Profile polyphenols show that vanillic acid and procyanidins A2 and B2 were significantly increased. Thus, the use of CIP could promote a higher enzymatic activity to produce specific polyphenols in order to inhibit the presence of ROS. Finally, under CIP-controlled conditions, the production of polyphenols could be improved without altering the plant’s expected growth.

Bees play crucial ecological, economic, and environmental roles, and research on them increasingly includes a spatial dimension. Geographic Information Systems (GISs) enable the acquisition, storage, analysis, management, and visualization of spatial data. However, GIS applications in bee research have expanded while remaining dispersed across topics, tools, taxa, and methodological approaches. This study provides a comprehensive and updated review of GIS applications in bee research by integrating bibliometric analysis with a structured synthesis of GIS purposes and techniques. A total of 228 publications were analyzed to assess publication trends, co-authorship patterns, keyword themes, study areas, taxonomic coverage, GIS application themes, and methodological tools. GIS was used to select suitable apiary sites, map floral resources, analyze bee behavior, assess diseases and pests, monitor bee products, evaluate urban and landscape contexts, and predict climate change effects. The main GIS-related approaches included multicriteria decision analysis (MCDA), remote sensing, species distribution models (SDMs), spatial interpolation, WebGIS platforms, and emerging machine-learning applications. The review also identified underrepresented taxa, especially wild bees, stingless bees, and other Apis species. Future advances should integrate MCDA with data-driven models, improve floral-resource mapping with remote sensing, and strengthen reproducibility through standardized spatial data and workflows.

Este estudio desarrolló y validó un método de análisis por UHPL-DAD para detectar y cuantificar residuos de Ivermectina (IVM) en agua residual. La implementación de este método, consistió en poder realizar un método robusto y eficiente; donde el tiempo de retención para este residuo en mención fue de 3.1 min. No obstante, los parámetros considerados en el proceso de validación del método analítico fueron: selectividad, linealidad, límite de detección, límite de cuantificación y porcentaje de recuperación; el método es selectivo, el coeficiente de correlación es R2 ≥ 0,99, presenta un límite de detección (LD) de 0,003 µg L-1, un límite de cuantificación (LQ) de 0,01 µg L-1, y un porcentaje de recuperación del 90% (con fortificación de 0,1 µg L-1).

Coastal sediments integrate contaminant inputs over time and are widely used to assess anthropogenic pressure, yet baseline data remain scarce along the Peruvian coast. Metal concentrations and their associated ecological risk were assessed in nearshore marine sediments along 16 km of coast at Ilo (Moquegua, Peru), across five stations subject to contrasting anthropogenic pressures and three sampling campaigns (n = 15). Concentrations were determined by energy-dispersive X-ray fluorescence on the <63 µm fraction, and evaluated through contamination and ecological risk indices and comparison with sediment quality guidelines. Six of the eleven elements determined were quantified above detection limits; Ag, As and Cd fell below and were excluded. Only Cu and Ni were clearly enriched relative to background (mean Igeo 2.37 and 1.78), and both exceeded their probable effect level in most samples. Cu peaked at the station facing a copper smelter, whereas Ni was highest where no discharge occurs, a contrast also reflected in an exploratory principal component analysis. Contamination load exceeded background throughout, and the station ranking held under three independent background scenarios. Seasonal variation was significant only for Fe and Mn (Friedman, p = 0.022), the two elements without enrichment, and did not alter the spatial pattern of contamination. Cu in the area facing the smelter is therefore the main contamination concern along this coast.