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High-Throughput Measurement and Classification of Organic P in Environmental Samples
Published on: June 8, 2011
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A high throughout semi-quantification method for screening organic contaminants in river sediments.
Qingwei Bu1, Donghong Wang2, Xin Liu2
1Key Laboratory of Aquatic Science and Technology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, P.O. Box 2871, Beijing 100085, PR China; School of Environment, Tsinghua University, Beijing 100084, PR China.
Journal of Environmental Management
|June 7, 2014
Summary
A new method efficiently screens over 900 organic contaminants (OCs) in river sediments. This approach aids in identifying and prioritizing pollutants for effective watershed management.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
Background:
- River sediments act as sinks for various organic contaminants (OCs).
- Effective monitoring of OCs is crucial for watershed health and risk assessment.
Purpose of the Study:
- To develop and validate a high-throughput, semi-quantification method for screening a broad range of OCs in river sediments.
- To assess the method's accuracy, recovery rates, and applicability in a real-world environmental setting.
Main Methods:
- Development of a high-throughput semi-quantification technique for analyzing approximately 900 OCs.
- Conducting recovery tests to evaluate extraction efficiency and accuracy.
- Application of the method to sediment samples from the Haihe River basin for OC screening.
Main Results:
- The developed method achieved recovery rates between 84.1% and 128.6% for most OCs.
- Concentration deviations from actual values were typically within a factor of 4.
- Seventy unregulated OCs, including pesticides, flame retardants, and pharmaceuticals and personal care products (PPCPs), were identified and quantified.
Conclusions:
- The developed semi-quantification method provides a valuable tool for comprehensive OC analysis in sediments.
- This method facilitates the identification and prioritization of priority pollutants, supporting watershed management strategies.
Keywords:
High throughout screeningNon-target analysisRiver sedimentsSemi-quantificationWatershed management
