Abstract

This study investigated the presence of 46 pharmaceuticals and personal care products (PPCPs), including antibiotics, anti-inflammatory, antifungal, surfactant, antidepressants, and anticonvulsants, in wastewater samples collected from 11 sites along the Musi River in Hyderabad, India. These samples were obtained from diverse points along the river, representing urban, industrial, and hospital-related sources. This strategic selection ensures a comprehensive assessment of water quality, covering areas of varying population density and industrial activity. The samples were extracted for PPCPs using solid-phase extraction and quantified using ultra-performance liquid chromatography-tandem mass spectrometry in multiple reaction mode. Of the 46, 16 target analytes were detected at concentrations ranging from 0.01 ± 0.001 μg/L (for fluoxetine) to 19.295 ± 4.16 μg/L (for ciprofloxacin). An ecological risk assessment was conducted in terms of risk quotient (RQ) for acute and chronic effects for three trophic levels of aquatic organisms (algae, fish, and invertebrates) for each detected contaminant at every site. In the case of acute toxicity, high RQ values (>>1) were obtained for the antibiotics, naproxen, diclofenac, caffeine, fluconazole, propyl paraben, fluoxetine, and benzalkonium chloride C-12. In the case of chronic toxicity, high RQ values (>>1) were estimated for some of the commonly used PPCPs. This study aimed to investigate the contamination levels of PPCPs in various wastewater discharge points along the Musi River in Hyderabad, a densely populated urban center with a population density of up to 45,000/sq km. Additionally, the research conducted an ecotoxicological risk assessment to evaluate the risk posed by these pollutants to three trophic levels (algae, fish, and invertebrates) using RQ analysis. Notably, this study represents the first attempt to conduct such an assessment in this region, providing valuable insights into environmental health and pollution management.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.