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Jia W, Liu H, Ma Y, Huang G, Liu Y, Zhao B, Xie D, Huang K, Wang R. Reproducibility in nontarget screening (NTS) of environmental emerging contaminants: Assessing different HLB SPE cartridges and instruments. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:168971. [PMID: 38042181 DOI: 10.1016/j.scitotenv.2023.168971] [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: 08/14/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 12/04/2023]
Abstract
Non-targeted screening (NTS) methods are integral in environmental research for detecting emerging contaminants. However, their efficacy can be influenced by variations in hydrophilic-lipophilic balance (HLB) solid phase extraction (SPE) cartridges and high-resolution mass spectrometry (HRMS) instruments across different laboratories. In this study, we scrutinized the influence of five HLB SPE cartridges (Nano, Weiqi, CNW, Waters, and J&K) and four LC-HRMS platforms (Agilent, Waters, Thermo, and AB SCIEX) on the identification of emerging environmental contaminants. Our results demonstrate that 87.6 % of the target compounds and over 59.6 % of the non-target features were consistently detected across all tested HLB cartridges, with an overall 71.2 % universally identified across the four LC-HRMS systems. Discrepancies in detection rates were primarily attributable to variations in retention time stability, mass stability of precursors and fragments, system cleanliness affecting fold change and p-values, and fragment response. These findings confirm the necessity of refining parameter criteria for NTS. Moreover, our study confirms the efficacy of the PyHRMS tool in analyzing and processing data from multiple instrumental platforms, reinforcing its utility for multi-platform NTS. Overall, our findings underscore the reliability and robustness of NTS methods in identifying potential water contaminants, while also highlighting factors that may influence these outcomes.
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Affiliation(s)
- Wenhao Jia
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province (Hainan University), Haikou 570228, China
| | - He Liu
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China
| | - Yini Ma
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province (Hainan University), Haikou 570228, China
| | - Guolong Huang
- Zhejiang GenPure Eco-Tech Co., Ltd., Hangzhou 310020, Zhejiang, China
| | - Yaxiong Liu
- Guangdong Institute for Drug Control, Guangzhou 510663, Guangdong, China
| | - Bo Zhao
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Nanning 530028, China
| | - Danping Xie
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Nanning 530028, China
| | - Kaibo Huang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province (Hainan University), Haikou 570228, China.
| | - Rui Wang
- South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, China; Guangxi Key Laboratory of Emerging Contaminants Monitoring, Early Warning and Environmental Health Risk Assessment, Nanning 530028, China.
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Mofijur M, Hasan MM, Ahmed SF, Djavanroodi F, Fattah IMR, Silitonga AS, Kalam MA, Zhou JL, Khan TMY. Advances in identifying and managing emerging contaminants in aquatic ecosystems: Analytical approaches, toxicity assessment, transformation pathways, environmental fate, and remediation strategies. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 341:122889. [PMID: 37972679 DOI: 10.1016/j.envpol.2023.122889] [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: 06/19/2023] [Revised: 10/30/2023] [Accepted: 11/05/2023] [Indexed: 11/19/2023]
Abstract
Emerging contaminants (ECs) are increasingly recognized as threats to human health and ecosystems. This review evaluates advanced analytical methods, particularly mass spectrometry, for detecting ECs and understanding their toxicity, transformation pathways, and environmental distribution. Our findings underscore the reliability of current techniques and the potential of upcoming methods. The adverse effects of ECs on aquatic life necessitate both in vitro and in vivo toxicity assessments. Evaluating the distribution and degradation of ECs reveals that they undergo physical, chemical, and biological transformations. Remediation strategies such as advanced oxidation, adsorption, and membrane bioreactors effectively treat EC-contaminated waters, with combinations of these techniques showing the highest efficacy. To minimize the impact of ECs, a proactive approach involving monitoring, regulations, and public education is vital. Future research should prioritize the refining of detection methods and formulation of robust policies for EC management.
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Affiliation(s)
- M Mofijur
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia.
| | - M M Hasan
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia; School of Engineering and Technology, Central Queensland University, QLD, 4701, Australia
| | - Shams Forruque Ahmed
- Science and Math Program, Asian University for Women, Chattogram, 4000, Bangladesh
| | - F Djavanroodi
- Mechanical Engineering Department, Prince Mohammad Bin Fahd University, Al Khobar, 31952, Saudi Arabia
| | - I M R Fattah
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - A S Silitonga
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - M A Kalam
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - John L Zhou
- Centre for Technology in Water and Wastewater, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia; Centre for Green Technology, School of Civil and Environmental Engineering, University of Technology Sydney, Ultimo, NSW, 2007, Australia
| | - T M Yunus Khan
- Mechanical Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia
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Motteau S, Deborde M, Gombert B, Karpel Vel Leitner N. Non-target analysis for water characterization: wastewater treatment impact and selection of relevant features. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:4154-4173. [PMID: 38097837 DOI: 10.1007/s11356-023-30972-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 11/05/2023] [Indexed: 01/19/2024]
Abstract
Non-target analyses were conducted to characterize and compare the molecular profiles (UHPLC-HRMS fingerprint) of water samples from a wastewater treatment plant (WWTP). Inlet and outlet samples were collected from three campaigns spaced 6 months apart in order to highlight common trends. A significant impact of the treatment on the sample fingerprints was shown, with a 65-70% abatement of the number of features detected in the effluent, and more polar, smaller and less intense molecules found overall compared to those in WWTP influent waters. Multivariate analysis (PCA) associated with variations of the features between inlets and outlets showed that features appearing or increasing were correlated with effluents while those disappearing or decreasing were correlated with influents. Finally, effluent features considered as relevant to a potentially adverse effect on aqueous media (i.e. those which appeared or increased or slightly varied from the influent) were highlighted. Three hundred seventy-five features common with the 3 campaigns were thus selected and further characterized. For most of them, elementary composition was found to be C, H, N, O (42%) and C, H, N, O, P (18%). Considering the MS2 spectra and several reference MS2 databases, annotations were proposed for 35 of these relevant features. They include synthetic products, pharmaceuticals and metabolites.
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Affiliation(s)
- Solène Motteau
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
| | - Marie Deborde
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France.
- University of Poitiers, UFR Médecine Et de Pharmacie, 6 Rue de La Milétrie, Bâtiment D1, TSA 51115, 86073, Cedex 9, Poitiers, France.
| | - Bertrand Gombert
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
| | - Nathalie Karpel Vel Leitner
- University of Poitiers, Institut de Chimie Des Milieux Et Des Matériaux de Poitiers (IC2MP UMR CNRS 7285), Equipe Eaux Biomarqueurs Contaminants Organiques Milieux (E.BICOM), 1 Rue Marcel Doré, Bâtiment B1, TSA 41105 86073, Cedex, Poitiers, France
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Wei D, Wang L, Poopal RK, Ren Z. IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 337:122564. [PMID: 37717894 DOI: 10.1016/j.envpol.2023.122564] [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: 06/09/2023] [Revised: 09/04/2023] [Accepted: 09/14/2023] [Indexed: 09/19/2023]
Abstract
Water quality monitoring is a challenging task due to continuous pollution. The rapid development of engineering technologies has paved the way for the development of efficient and convenient computer-based online continuous water-quality assessment techniques. Techniques based on biological-responses are gaining attention, worldwide. Different biosensors have been developed in recent years to monitor real-time biological responses to evaluate water-quality. The survival and function of various organs of the organism depends on the cardiac system. Alterations in the cardiac system could signify the occurrence/initiation of stress in the organism. We developed a real-time online cardiac function assessment system-OCFAS to acquire fish ECG-signals. We obtained P-wave, R-wave, T-wave, PR-intervals, QT-intervals and QRS-complex continuously, which did not affect the normal activities of carp. We exposed Cyprinus carpio to different concentrations (National Environmental Quality Standards) of ammonia for 48 h. Our OCFAS has precisely acquired the required ECG-signals. A real-time dataset reveals sensitivity to ammonia in carp ECG-indexes. Compared with the control group the P-wave, R-wave and T-wave were weaker in ammonia-treated groups. In contrast, the PR-intervals, QT-intervals and QRS-complex were prolonged in the ammonia-treatment groups. The self-organizing map signifies that the PR-intervals, the QRS-complex and the QT-intervals are consistent with environmental stress. Linear regression analysis also quantitatively signifies that the PR interval has the highest R2 value and the lowest SSE-value, followed by the QRS complex and the QT interval. A concentration-related effect was observed in the ammonia treated groups. The integrated biomarker response (IBRv2) index was used to determine the overall stress of ammonia on carp heart ECG-indexes. IBRv2 also supports the real-time response of carp to ammonia stress. Ammonia levels in the aquaculture and water environment require special attention to avoid its adverse effects on the health of aquatic biota. Our study emphasizes the importance of online real-time fish ECG for water-quality assessment.
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Affiliation(s)
- Danxian Wei
- Institute of Environment and Ecology, Shandong Normal University, Jinan, 250358, China
| | - Lei Wang
- Institute of Environment and Ecology, Shandong Normal University, Jinan, 250358, China; Jinan Central Hospital, No. 105, Jiefang Road, Jinan, Shandong, 250013, China
| | - Rama-Krishnan Poopal
- Institute of Environment and Ecology, Shandong Normal University, Jinan, 250358, China
| | - Zongming Ren
- Institute of Environment and Ecology, Shandong Normal University, Jinan, 250358, China.
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