Ciprofloxacin Emerging Pollutants Removal from Aqueous Solution using Activated Carbon Derived from Oak Cupules

Supervisor Name

Ghassan Albarghouti

Supervisor Email

gdaghra@birzeit.edu

University

Birzeit University

Research field

Environmental Science

Bio

Ghassan Awad Albarghouti joined Birzeit University in 2016 as a faculty member. With wide experience and a diverse skill set in environmental and water chemistry, our research primarily focuses on the application of green chemistry principles to enhance environmental and water quality and develop sustainable treatment solutions. Our expertise extends to studying the removal of organic contaminants from wastewater, utilizing environmentally friendly methodologies that minimize the ecological footprint. By emphasizing the integration of green chemistry in our research, we are committed to fostering sustainable practices that address contemporary water management challenges.

Description

The continuous discharge of treated and untreated wastewater containing pharmaceutical residues has become an increasingly complex challenge for water management systems. Antibiotics such as ciprofloxacin are frequently detected at various stages of wastewater treatment due to their high chemical stability and resistance to degradation. As a result, existing treatment technologies often fail to provide consistent removal of these micropollutants, allowing them to persist in aquatic environments. Current adsorption-based treatment strategies have shown potential; however, many rely on commercially produced materials that are economically or environmentally unsustainable. Furthermore, the majority of reported studies focus on initial adsorption performance without adequately addressing long-term material stability, reusability, or effectiveness in real wastewater matrices. This creates a critical gap between laboratory-scale studies and practical wastewater treatment implementation, highlighting the need for sustainable adsorbents capable of maintaining performance under realistic operational conditions.