Basic Theory and Analytical Methodology for Identification of Novel Environmental Organic Pollutants

Authors

RUAN Ting, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
JIANG Guibin, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China

Keywords

persistent organic pollutants; artificial chemicals; risk assessment; health effects; screening and identification theory; analysis method; environmental behavior

Document Type

Article

Abstract

Since the twentieth century, the health hazards caused by chemical pollutants have become increasingly prominent. Tens of thousands of high throughput chemicals have entered into the environment along with the massive production and use, raising emerging scientific issues for research in environmental science related fields. In this article, background and scientific significance of establishing the research direction on identification of novel organic pollutants are introduced. Basic principles of discriminating molecular structures and environmental behaviors of pollutant candidates with regard to the characteristics of persistent organic pollutants are discussed. Technical strategy and advantages of the established analytical frameworks, including quantitative structure-property relationship model prediction, suspect/non-targeted analysis, and biological effect-directed analysis, are further described. In-depth exploration on occurrence, behavior and effects of novel organic pollutants will play a crucial supportive role in leading the direction of discipline development, improving chemical risk assessment criterions, and revealing the toxicity and hazard mechanisms of environmental pollutants.

First page

1328

Last Page

1336

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

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Recommended Citation

Ting, RUAN and Guibin, JIANG (2020) "Basic Theory and Analytical Methodology for Identification of Novel Environmental Organic Pollutants," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 35 : Iss. 11 , Article 3.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20200915004
Available at: https://bulletinofcas.researchcommons.org/journal/vol35/iss11/3