Discrete mathematical data analysis approach: a valuable assessment method for sustainable chemistry

Kristina Voigt1, Hagen Scherb, Rainer Bruggemann

  • 1Helmholtz Zentrum Muenchen, Institute of Biomathematics and Biometry, 85764 Neuherberg, Germany. kvoigt@helmholtz-muenchen.de

Summary

This study introduces a data analysis method using partially ordered sets to identify hazardous chemicals, specifically Persistent Organic Pollutants (POPs), in breast milk samples. The approach helps distinguish between more and less dangerous substances for sustainable chemistry applications.

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