[Occurrence Characteristics and Risk Assessment of Antibiotics in the Surface Water of Luoma Lake and Its Main Inflow Rivers].

Huan Jing Ke Xue

Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, Jiangsu Provincial Key Laboratory for High Technology Research on Atmospheric Environment Monitoring and Pollution Control, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.

Published: March 2022

The concentration levels of 39 antibiotics, including sulfonamides (SAs), quinolones (QUs), tetracyclines (TCs), macrolides (MLs), and penicillins (PLs), in the surface water of Luoma Lake, and its main inflow rivers were analyzed using SPE-UPLC-MS/MS. The contribution rates of pollution of major rivers entering the lake were analyzed, and the potential ecological and health risks of antibiotics were assessed. The results showed that (antibiotics)in 42 sampling sites was between 30.10 ng·L and 582.37 ng·L, and a total of four classes of 23 antibiotics were detected. Among them, the average detection concentration of enrofloxacin (ERX) was the highest (88.05 ng·L), and the detection rate of lincomycin (LIN) was the highest (100%). The average concentration of antibiotics in the northern region of Luoma Lake was higher than that in the south, and among the two main rivers entering the lake, Yihe River was the main river contributing to the pollution of antibiotics in Luoma Lake, with a contribution rate of 53.91%. The results of risk assessment showed that ERX had the largest risk quotient. For the cumulative risk quotient (RQ), RQ of L6, R30, R31, R32, R33, and R42 was between 0.1 and 1, which is considered medium risk, and RQ of other points was>1, which is considered high risk. The health risk assessment of 11 antibiotics showed that the health risk quotient (RQ) of adults and children ranged from 4.16×10 to 2.46×10, and there was no health risk to the human body.

Download full-text PDF

Source
http://dx.doi.org/10.13227/j.hjkx.202106087DOI Listing

Publication Analysis

Top Keywords

luoma lake
16
risk assessment
12
risk quotient
12
health risk
12
risk
9
assessment antibiotics
8
surface water
8
water luoma
8
lake main
8
main inflow
8

Similar Publications

Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

Environ Manage

January 2025

Key Laboratory of Integrated Regulation and Resources Development on Shallow Lakes of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.

Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public health worldwide, highlighting the urgent need for advanced predictive methodologies. As impounded lakes along the Eastern Route of the South-to-North Water Diversion Project, Lakes Hongze and Luoma play a key role in water resource management, making the prediction of cyanobacterial blooms in these lakes particularly important. To address this, satellite remote sensing data were utilized to analyze the spatiotemporal dynamics of cyanobacterial blooms in these lakes.

View Article and Find Full Text PDF
Article Synopsis
  • Perfluoroalkyl acids (PFAAs) are widely found in both urban and rural environments, but there is limited understanding of how they accumulate and transfer in aquatic food webs, particularly in urban fringe lakes like Luoma Lake.
  • The study measured concentrations of 15 PFAAs in fish and crustaceans, finding higher levels in the urban area compared to the rural area, with seasonal changes affecting some species but not others.
  • The research highlighted bioaccumulation differences among organisms and noted significant health risks from certain PFAAs (like PFOS and PFOA) for young children, while suggesting strategies for risk mitigation.
View Article and Find Full Text PDF
Article Synopsis
  • Neonicotinoids (NEOs) are commonly found in global surface waters, but their presence in artificial waterways like the South-to-North Water Diversion Project (SNWDP) is less understood.
  • A study analyzing water samples from various sections of the SNWDP found varying NEO concentrations, with dry season concentrations typically twice as high as those in rainy seasons, influenced by inputs from natural rivers.
  • While ecological risks from specific NEOs were identified as high in certain areas, overall health assessments suggested that drinking water from the SNWDP is safe, although children face higher exposure risks than adults.
View Article and Find Full Text PDF

Fugacity model covering abiotic and biotic matrices to investigate the transfer and fate of perfluoroalkyl acids in a large shallow lake of eastern China.

Sci Total Environ

November 2024

Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, College of Environment, Hohai University, Nanjing 210098, PR China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, PR China.

Solving the challenges faced during the measurement of the cross-interface transfer of perfluoroalkyl acids (PFAAs) in lakes is crucial for clarifying environmental behaviours of these chemicals and their efficient governance. This study developed a multimedia fugacity model based on the quantitative water-air-sediment interaction (QWASI) covering abiotic/biotic matrices to investigate the cross-interface transfer and fate of PFAAs in Luoma Lake, a typical PFAA-contaminated shallow lake in eastern China. The accuracy and reliability of the established model were confirmed using Percent bias and Monte Carlo simulation, respectively.

View Article and Find Full Text PDF

Dynamics of antibiotic resistance genes in the sediments of a water-diversion lake and its human exposure risk behaviour.

Sci Total Environ

June 2024

Ministry of Education Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, College of Environment, Hohai University, Nanjing 210098, PR China; Yangtze Institute for Conservation and Development, Hohai University, Nanjing 210098, PR China.

The dynamics and exposure risk behaviours of antibiotic resistance genes (ARGs) in the sediments of water-diversion lakes remain poorly understood. In this study, spatiotemporal investigations of ARG profiles in sediments targeting non-water (NWDP) and water diversion periods (WDP) were conducted in Luoma Lake, a typical water-diversion lake, and an innovative dynamics-based risk assessment framework was constructed to evaluate ARG exposure risks to local residents. ARGs in sediments were significantly more abundant in the WDP than in the NWDP, but there was no significant variation in their spatial distribution in either period.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!