Prioritization of antibiotic contaminants in China based on decennial national screening data and their persistence, bioaccumulation and toxicity

Huang, Fujian; Chen, Linpeng; Zhang, Chong; Liu, Fei; Li, Hui

doi:10.1016/j.scitotenv.2021.150636

Cited by 49 publications

(23 citation statements)

References 67 publications

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“…AETM, as a typical degradation product of ETM [78], was identified as high priority in the previous studies [11,79]. SPD is commonly used as veterinary medicine, which was ranked as a medium priority antibiotic in the aquatic environment of China [39]. Among different classes of antibiotics, SAs represented the largest share (44.6%) of the total WFRQ values (Figure S13), which was approximately threefold that of MLs (15.8%), β-Ls (13.6%), and TCs (14.2%).…”

Section: Antibiotic Prioritization At a Global Levelmentioning

confidence: 94%

“…AMX is even an over-the-counter drug, which could be supplied to patients without prescription in some African countries [76]. SMX and TMP were previously identified as the priority antibiotics in surface water in China [11,[37][38][39] and France [75] due to their common usage and high persistence in water [77]. AETM, as a typical degradation product of ETM [78], was identified as high priority in the previous studies [11,79].…”

Section: Antibiotic Prioritization At a Global Levelmentioning

confidence: 99%

“…As a global challenge across different regions, antibiotic prevelance in aquatic environments is closely related to human activities and regional socioeconomic development [35,36], suggesting the necessity of integrated study on developmental trends, drivers, and controlling strategies of antibiotic contamination. However, the comprehensive understanding on antibiotics associated with natural, social, and economic variables in various river basins relies on mining plentiful surveillance data from numerous sources and integrating the vast dataset for accurate identification of the priority antibiotics [11,[37][38][39]. With an overview of the studies on riverine antibiotics, we established a global dataset encompassing more than 90,000 records of 169 antibiotics and their metabolites in water and sediment.…”

Section: Introductionmentioning

confidence: 99%

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Antibiotics in global rivers

Li¹,

Liu²,

Yang³

et al. 2022

NSO

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Antibiotics have received extensive attention due to their sophisticated effects on human health and ecosystems. However, there is an extreme scarcity of information on composition, content, geographic distribution, and risk of riverine antibiotics at a large spatial scale. Based on a systematic review of over 600 pieces of literature (1999-2021), we established a global dataset containing more than 90,000 records covering 169 antibiotics and their metabolites in surface water and sediment across 76 countries. The occurrence of prioritized antibiotics largely depended on socioeconomic developmental levels, and the current "hotspots" of polluted rivers were found mostly in less developed countries or emerging economies (e.g., some in Africa, South America, and Asia). By developing the screening protocol for risk-based prioritization of antibiotics, we advanced a rank list of antibiotics for guiding formulation of region-specific strategies, which highlighted the importance of whole life cycle management of antibiotics in health maintenance of the world's rivers.

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Section: Antibiotic Prioritization At a Global Levelmentioning

confidence: 94%

Section: Antibiotic Prioritization At a Global Levelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Antibiotics in global rivers

Li¹,

Liu²,

Yang³

et al. 2022

NSO

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“…At the same time, GTFX can also cause poisoning and teratogenesis when it enters the human body through the spread of the food chain. Therefore, GTFX is also listed as one of the antibiotic pollutants in China 2 …”

Section: Introductionmentioning

confidence: 99%

Molecularly imprinted two‐dimensional photonic crystal hydrogel sensor for the detection of gatifloxacin

Zhao

Liu

Zheng

et al. 2023

Polymer International

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Using polystyrene two-dimensional photonic crystal as template, gatifloxacin (GTFX) as imprinting molecule, methanol as solvent, acrylic acid as functional monomer, ethylene glycol dimethyl acrylate as crosslinking agent and 2,2diethyloxyacetophenone as initiator, after UV initiation polymerization the GTFX molecularly imprinted two-dimensional photonic crystal hydrogel (GTFX-MIPCH) sensor was prepared. The response performance of the hydrogel was investigated by measuring the diameter change of the Debye ring. The experimental results showed that the prepared GTFX-MIPCH has a sensitive response to GTFX. When the concentration of GTFX increases from 0 to 1 × 10 −4 mol L −1 , the diameter of the Debye ring decreases by 8.50 mm, the corresponding particle spacing increases by 29.1 nm, and the color of the sensor changes from purple to orange. Also there was a linear relationship between the change of particle spacing (Δd) and the logarithm of GTFX concentration (lg c) in the range 10 −12 -10 −6 mol L −1 . It is noteworthy that the limit of detection of GTFX-MIPCH is as low as 10 −14 mol L −1 . In addition, in a solution of GTFX analogues enrofloxacin, levofloxacin, ciprofloxacin and norfloxacin, the change of particle spacing of the GTFX-MIPCH sensor is 13.3, 11.6, 11.1 and 10.3 nm respectively, indicating that GTFX-MIPCH has good specific recognition ability for GTFX. Moreover, GTFX-MIPCH shows good reusability and can also be used for the detection of GTFX in water samples. This GTFX-MIPCH can achieve a visual detection effect on GTFX through the Debye ring and color change.

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“…In this study, we aimed to develop DGT devices for the monitoring of pharmaceuticals in surface water. We selected high-priority pharmaceuticals identified for monitoring and risk assessment in multiple prioritization exercises ( Bu et al, 2021 ; Bu et al, 2020 ; Howard and Muir, 2011 ; Huang et al, 2022 ; Li et al, 2019 ). Recently, the outbreak of coronavirus disease 2019 (COVID-19) has become a global health emergency ( Fang et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%