Mixture Touch: A Web Platform for the Evaluation of Complex Chemical Mixtures
Yasuyuki Zushi1, Nobuyasu Hanari2, Deedar Nabi3,4
1Research Institute of Science for Safety and Sustainability, National Institute of Advanced Industrial Science and Technology (AIST), 16-1 Onogawa, Tsukuba, Ibaraki 305-8569, Japan.
ACS Omega
|April 21, 2020
Summary
Mixture Touch is a free web platform simplifying chemical mixture risk assessment using GC×GC data. It helps identify risks, like human accumulation of short-chain chlorinated paraffins, bridging data gaps for better analysis.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Toxicology
Background:
- Chemical mixture risk assessment is hindered by inaccessible data on individual compounds.
- Comprehensive two-dimensional gas chromatography (GC × GC) offers powerful analysis of complex mixtures.
- Existing tools lack integrated solutions for GC × GC data and risk assessment.
Purpose of the Study:
- To introduce Mixture Touch, a free web platform for chemical mixture risk assessment.
- To integrate GC × GC data visualization, spectral identification, property estimation, and risk analysis.
- To demonstrate the platform's utility in assessing the bioaccumulation potential of industrial chemical mixtures.
Main Methods:
- Development of a user-friendly web platform, "Mixture Touch."
- Integration of data visualization tools for GC × GC outputs.
- Implementation of spectral identification and property estimation algorithms.
- Application of established risk assessment methodologies within the platform.
Main Results:
- The platform successfully visualizes GC × GC data and aids in spectral identification.
- Risk assessment of short-chain chlorinated paraffins (SCCPs) indicated low aquatic bioaccumulation potential.
- SCCP congener analysis suggested a higher tendency for human accumulation.
- Mixture Touch effectively bridges the gap between analytical data and risk assessment outcomes.
Conclusions:
- Mixture Touch provides a unified, free solution for complex chemical mixture risk assessment.
- The platform enhances the risk assessment process by leveraging advanced analytical data from GC × GC.
- It facilitates informed decision-making by making complex mixture data accessible to diverse scientific experts.
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