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Xiao B, Pu Q, Ding G, Wang Z, Li Y, Hou J. Synergistic effect of horizontal transfer of antibiotic resistance genes between bacteria exposed to microplastics and per/polyfluoroalkyl substances: An explanation from theoretical methods. JOURNAL OF HAZARDOUS MATERIALS 2025; 492:138208. [PMID: 40220390 DOI: 10.1016/j.jhazmat.2025.138208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2024] [Revised: 04/03/2025] [Accepted: 04/06/2025] [Indexed: 04/14/2025]
Abstract
Microplastics (MPs) and per/polyfluoroalkyl substances (PFASs), as emerging pollutants widely present in aquatic environments, pose a significant threat to human health through the horizontal gene transfer (HGT) of antibiotic resistance genes (ARGs). Molecular dynamics simulations and machine learning can accurately capture the complex interactions between molecules. This study utilized them to identify the HGT risk between bacteria under MPs and PFASs stress. This study found that MPs and PFASs significantly increase the HGT risk between bacteria, up to 1.57 and 1.59 times, respectively. Notably, long-chain PFASs and perfluoroalkyl carboxylic acids increased the HGT risk by 1.38 and 1.40 times, respectively. Additionally, MPs primarily increase the HGT risk by enhancing hydrogen bonding interaction between key proteins in the HGT pathway and "active codons". The electronegativity and polarizability of PFASs critically influence the HGT risk, acting inversely and directly proportional, respectively. The HGT risk between bacteria under the combined stress from PP-MPs and PFASs exhibits a significant synergistic effect (synergistic effect value of 27.6), which markedly increases the HGT risk. Further analysis revealed that a smaller minimum distance and sharper RDF curve peaks between key proteins and "active codons" indicate higher HGT risk. This indicates that stronger interactions lead to higher HGT risk. This study identifies the characteristics of HGT risks between bacteria in aquatic environments under the individual and combined stresses from MPs and PFASs at the molecular level. It provides a theoretical basis for mitigating ARG transfer and comprehensively assessing the health risks posed by these emerging pollutants.
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Affiliation(s)
- Botian Xiao
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
| | - Qikun Pu
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
| | - Gaolei Ding
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
| | - Zhonghe Wang
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
| | - Yu Li
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
| | - Jing Hou
- College of Environmental Science and Engineering, North China Electric Power University, Beijing 102206, China; MOE Key Laboratory of Resources and Environmental System Optimization, North China Electric Power University, Beijing 102206, China.
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Zhang Q, Yue TJ, Sun SY, Jiang SJ, Feng JL, Guo HM. Pillar[5]arene-based Polymer Network for Efficiently Removing Perfluorooctanoic Acid through Synergistic Binding Interactions. CHEMSUSCHEM 2025; 18:e202401391. [PMID: 39305467 DOI: 10.1002/cssc.202401391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 08/16/2024] [Indexed: 11/06/2024]
Abstract
Perfluorooctanoic acid (PFOA) is currently one of the most important chemicals posing environmental risks, and there is an urgent need to find methods to efficiently remove PFOA from environmental media. Here, two decaamino-pillar[5]arene-based fluorine-rich polymer networks, called FA2P-P and FA6P-P, were constructed using a convenient method. FA6P-P had an excellent ability to take up PFOA, and had a capacity of 1423 (mg PFOA) (g FA6P-P)-1, which is the second highest adsorption capacity reported for any PFOA sorbent. FA6P-P removed >99 % of the PFOA from a solution and decreased the PFOA concentration from 1000 μg L-1 in 5 min at an exceedingly low adsorbent loading of 0.7 mg L-1, giving a final PFOA concentration <4 ng L-1, which is lower than the most recent enforceable maximum concentration set by the United States Environmental Protection Agency. A high rate constant (kobs) of 55.8 g mg-1 h-1 was observed. Pillar[5]arene gives the material hydrophobic properties and also amino sites and hydrophobic chains, which are synergistic PFOA binding sites. The polymer was very stable and readily regenerated. The results indicated that pillar[5]arene-based porous organic polymer sorbents are excellent candidates for capturing PFOA.
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Affiliation(s)
- Qian Zhang
- State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Tian-Jiao Yue
- State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Si-Yuan Sun
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Shi-Jie Jiang
- State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Jing-Lan Feng
- School of Environment, Key Laboratory for Yellow River and Huai River Water Environment and Pollution Control, Ministry of Education, Henan Normal University, Xinxiang, Henan, 453007, China
| | - Hai-Ming Guo
- State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, Key Laboratory of Green Chemical Media and Reactions, Ministry of Education, Collaborative Innovation Center of Henan Province for Green Manufacturing of Fine Chemicals, School of Chemistry and Chemical Engineering, Henan Normal University, Xinxiang, Henan, 453007, China
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Zhang M, Zhao Y, Bui B, Tang L, Xue J, Chen M, Chen W. The Latest Sensor Detection Methods for per- and Polyfluoroalkyl Substances. Crit Rev Anal Chem 2024; 55:542-558. [PMID: 38234139 DOI: 10.1080/10408347.2023.2299233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Per- and polyfluoroalkyl substances (PFASs) have emerged as a prominent environmental pollutant in recent years, primarily due to their tendency to accumulate and magnify in both the environment and living organisms. The entry of PFASs into the environment can have detrimental effects on human health. Hence, it is crucial to actively monitor and detect the presence of PFASs. The current standard detection method of PFAS is the combination of chromatography and mass spectrometry. However, this requires expensive instruments, extra sample pretreatment steps, complicated operation and long analysis time. As a result, new methods that do not rely on chromatography and mass spectrometry have been developed and applied. These alternative methods mainly include optical and electrochemical sensor methods, which offer great potential in terms of real-time field detection, instrument miniaturization, shorter analysis time, and reduced detection cost. This review provides a summary of recent advancements in PFAS detection sensors. We categorize and explain the principles and mechanisms of these sensors, and compare their limits of detection and sensitivity. Finally, we discuss the future challenges and improvements needed for PFAS sensors, such as field application, commercialization, and other related issues.
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Affiliation(s)
- Mingyu Zhang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, China
| | - Yanan Zhao
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, China
| | - Brian Bui
- Department of Physics, The University of Texas at Arlington, Arlington, Texas, USA
| | - Liming Tang
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, China
| | - Jiajia Xue
- Beijing Laboratory of Biomedical Materials and State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing, China
| | - Mingli Chen
- Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Shenyang, China
| | - Wei Chen
- Department of Physics, The University of Texas at Arlington, Arlington, Texas, USA
- School of CHIPS, Xi'an Jiaotong-Loverpool University, Suzhou, China
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