BIOSURFACTANT PROPERTIES AND ITS APPLICATION IN CHROMIUM REMOVAL: A REVIEW

FUDMA Journal of Sciences, Journal Year: 2025, Volume and Issue: 9(1), P. 273 - 287

Published: Jan. 31, 2025

Chromium contamination primarily originates from anthropogenic activities such as industrial discharges, mining operations, and the improper disposal of chromium-containing products, leading to its infiltration into soil groundwater. The persistence chromium in environment poses severe ecological health risks, including bioaccumulation aquatic organisms adverse effects on plant growth microbes. Human exposure through contaminated water or occupational settings is linked respiratory problems, skin disorders, heightened cancer risk. Addressing these challenges necessitates sustainable remediation approaches, highlighting potential biosurfactants eco-friendly alternatives conventional methods. This review was aimed provide an overview different properties application removal, covering key aspects introduction future perspectives. Biosurfactants microbial-derived surface-active agents, exhibit that make them highly effective reducing contamination. Their biodegradability, low toxicity, renewable production ensure minimal environmental impact. Moreover, their amphiphilic nature enhances bioavailability, facilitating microbial uptake reduction. Certain chelate metal ions, preventing migration secondary contamination, while synergistic interactions with microorganisms improve efficiency. By supporting transformation toxic Cr (VI) less harmful (III) promoting precipitation insoluble compounds, offer a versatile solution for mitigating pollution.

Language: Английский

Do trade openness and foreign direct investment affect CO2 emissions in the MENA region? New evidence from a panel ARDL regression

Economics and Environment, Journal Year: 2025, Volume and Issue: 91(4), P. 972 - 972

Published: Feb. 7, 2025

This study explores the impact of trade openness and foreign direct investment on CO2 emissions in MENA region, providing new insights through Panel ARDL regression. It aids policymakers balancing economic growth environmental sustainability. The employs a regression model to analyse dynamic relationship between openness, FDI, emissions. finds robust long-run relationships Trade Openness, electricity uses emissions, while reduces Short-run coefficients vary, with use significantly increasing Error Correction Term confirms equilibrium restoration, 23% deviations corrected annually. FDI-driven industrial activities fossil fuel reliance are key contributors highlighting need for cleaner energy sources stricter policies mitigate climate impact. findings guide sustainability, emphasising industries, regulations, renewable reduce region. adds value by empirical evidence factors region using model.

Language: Английский