ArticleMethodsX2024
Analytical methods for determining environmental contaminants of concern in water and wastewater.
Article in MethodsX, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed.
- A Miniaturised Protocol for Feeding Measurements in Daphnids.Methods and protocols · 2026Article
- A multiplatform chromatography-mass spectrometry dataset for targeted and suspect screening of pollutants.Scientific data · 2026Article
- Smart Probiotic Solutions for Mycotoxin Mitigation: Innovations in Food Safety and Sustainable Agriculture.Probiotics and antimicrobial proteins · 2026Review
- Magnetically active MOF-based adsorbent for efficient diclofenac sodium adsorption.Scientific reports · 2025Article
- Procedural Challenges in Soil Sample Preparation for Pharmaceuticals Analysis.Molecules (Basel, Switzerland) · 2025Article
- Biochar for Wastewater Treatment: Preparation, Modification, Characterization, and Its Applications.Molecules (Basel, Switzerland) · 2025Review
- Boron-Doped Diamond Electrodes for Toxins Sensing in Environmental Samples-A Review.Sensors (Basel, Switzerland) · 2025Review
- Harnessing the UiO-67 metal-organic framework for advanced detection of cadmium ions in water bodies.RSC advances · 2024Article
- The Fabrication of Gold Nanostructures as SERS Substrates for the Detection of Contaminants in Water.Nanomaterials (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Control and prevention of environmental pollution have emerged as paramount global concerns. Anthropogenic activities, such as industrial discharges, agricultural runoff, and improper waste disposal, introduce a wide range of contaminants into various ecosystems. These pollutants encompass organic and inorganic compounds, particulates, microorganisms, and disinfection by-products, posing severe threats to human health, ecosystems, and the environment. Effective monitoring methods are indispensable for assessing environmental quality, identifying pollution sources, and implementing remedial measures. This paper suggests that the development and utilization of highly advanced analytical tools are both essential for the analysis of contaminants in water samples, presenting a foundational hypothesis for the review. This paper comprehensively reviews the development and utilization of highly advanced analytical tools which is mandatory for the analysis of contaminants in water samples. Depending on the specific pollutants being studied, the choice of analytical methods widely varies. It also reveals insights into the diverse applications and effectiveness of these methods in assessing water quality and contaminant levels. By emphasizing the critical role of the reviewed monitoring methods, this review seeks to deepen the understanding of pollution challenges and inspire innovative monitoring solutions that contribute to a cleaner and more sustainable global environment.•Urgent global concerns: control and prevention of pollution from diverse sources.•Varied contaminants, diverse methods: comprehensive review of analytical tools.•Inspiring a sustainable future: innovative monitoring for a cleaner environment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.