MESOCOSM: A mesocosm database management system for environmental nanosafety.

Area of Science:

• Environmental Science
• Materials Science
• Toxicology

Background:

• Engineered nanomaterials (ENMs) are increasingly used across industries, leading to widespread environmental presence.
• Existing databases lack comprehensive data for environmental exposure scenarios across the ENM lifecycle.
• Current data primarily focuses on ecotoxicity and occupational exposure, not environmental fate.

Purpose of the Study:

• To develop a centralized database management system for environmental nanosafety (MESOCOSM).
• To consolidate experimental data from mesocosm studies for ENM hazard and exposure assessment.
• To provide a publicly accessible resource for predicting ENM behavior and risks in ecosystems.

Main Methods:

• Construction of the MESOCOSM database, a centralized system for environmental nanosafety data.
• Inclusion of 5200 entities from mesocosm experiments on various ENMs (Ag, CeO2, CuO, TiO2) and nano-enabled products.
• Development of a graphical user interface (GUI) for user-friendly data management and complex querying.

Main Results:

• The MESOCOSM database contains over 5200 entities covering physicochemical properties, environmental endpoints, exposure data, and hazard information.
• Data spans multiple ENMs and nano-enabled products, derived from numerous mesocosm experiments.
• A functional GUI enables efficient data retrieval and analysis without programming expertise.

Conclusions:

• MESOCOSM provides a unique, centralized resource for environmental nanosafety research.
• The database facilitates prediction of ENM behavior, fate, and potential impacts across ecosystems.
• MESOCOSM is expected to significantly benefit the nanosafety community by enhancing risk assessment capabilities.