2025

Permanent URI for this collectionhttps://dl.bhu.ac.in/bhuir/handle/123456789/62057

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A Rare Clinical Confluence: Metachromatic Leukodystrophy and Distal Renal Tubular Acidosis
(Scientific Scholar LLC, 2025) Nitish Kumar; Satyabrata Panda; Addyaa Shanker
[No abstract available]
Harnessing NMR technology for enhancing field crop improvement: applications, challenges, and future perspectives
(Springer, 2025) Vedant Gautam; Vibhootee Garg; Nitesh K. Meena; Sunidhi Kumari; Shubham Patel; Mukesh; Himanshu Singh; Shreyashi Singh; Rajendra K. Singh
Introduction: Nuclear Magnetic Resonance (NMR) spectroscopy has emerged as a transformative technology in agricultural research, offering powerful analytical capabilities for field crop improvement. With global challenges such as food security and climate change intensifying, there is an urgent need for innovative methodologies to enhance our understanding of plant health, metabolic pathways, and crop-environment interactions. NMR’s ability to provide nondestructive, real-time analysis of plant metabolites and soil chemistry positions it as a critical tool for addressing these pressing concerns. Objective: This review aims to elucidate the potential of NMR spectroscopy in advancing field crop improvement by highlighting its applications, challenges, and future perspectives in agricultural methodologies. The focus is on the evolution and application of NMR in agricultural research, particularly in metabolomics, phenotyping, and quality assessment. Method: A comprehensive literature review was conducted to analyze recent advancements in NMR applications in agriculture. Particular emphasis was given to high-resolution magic angle spinning (HR-MAS) and time-domain NMR techniques, which have been instrumental in elucidating plant metabolites and soil chemistry. Studies showcasing the integration of NMR with complementary technologies for enhanced metabolic profiling and genetic marker identification were reviewed. Results: Findings indicate that NMR spectroscopy is an indispensable tool in agriculture due to its ability to identify biomarkers indicative of crop resilience, monitor soil composition, and contribute to food safety and quality assessments. The integration of NMR with other technologies has accelerated metabolic profiling, aiding in the breeding of high-yielding and stress-resistant crop varieties. However, challenges such as sensitivity limitations and the need for standardization remain. Conclusion: NMR spectroscopy holds immense potential for revolutionizing agricultural research and crop improvement. Overcoming existing challenges, such as sensitivity and standardization, is crucial for its broader application in practical agricultural settings. Collaborative efforts among researchers, agronomists, and policymakers will be essential for leveraging NMR technology to address global food security challenges and promote sustainable agricultural practices. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Meteorological influences on air pollution dynamics in pollution epicentre of National Capital Region, India
(Elsevier Ltd, 2025) Susanta Mahato; Sonali Kundu; Jan Cermak; Pawan Kumar Joshi
This study analyzes the temporal variations and source characteristics of air pollution in Delhi, examining the influence of meteorological conditions on pollutant concentrations. The goal is to provide insights for policymakers to develop effective emission reduction strategies and improve air quality. Innovative Trend Analysis (ITA) and Detrended Fluctuation Analysis (DFA) were used to identify long-term trends and fluctuations in pollutants such as PM10, PM2.5, NO2, SO2, CO, O3, and NH3 from 2018 to 2023. Continuous Wavelet Transformation (CWT) and Cross-Wavelet Transformation (XWT) were utilized to explore seasonal patterns and pollutant-meteorology interactions. Receptor modeling techniques, including non-parametric wind regression and conditional probability function analysis, were applied to identify major pollution sources. The study found that key emission sources were located to the west, south, and southwest of the monitoring site for most pollutants, with ozone precursors predominantly originating from the north. ITA and DFA revealed persistent long-range correlations in pollutant levels, driven by stable emission sources and seasonal meteorological effects. CWT analysis showed distinct periodic patterns in air quality, with worsening conditions during winter and summer. The research highlights the role of temperature inversions, low wind speeds, and regional pollutant transport in exacerbating pollution levels but emphasizes that human-driven emission sources remain the primary contributors to air quality deterioration. While meteorological factors influence pollution dispersion, they do not diminish the urgency of emission control measures. The findings support the development of targeted pollution control policies, including emission reduction from industrial, vehicular, and biomass burning sources. Advancing real-time air quality monitoring and integrating socio-economic considerations into air pollution management will enhance the effectiveness of interventions, aligning with Sustainable Development Goals (SDG 11 - urban sustainability and SDG 3 - public health). © 2025 Elsevier Ltd