Modified GAPI (MoGAPI) Tool and Software for the Assessment of Method Greenness: Case Studies and Applications

Fotouh R. Mansour; Justyna Płotka-Wasylka; Marcello Locatelli

doi:10.3390/analytica5030030

Modified GAPI (MoGAPI) Tool and Software for the Assessment of Method Greenness: Case Studies and Applications

Abstract

The green analytical procedure index (GAPI) has been widely used to assess the greenness of different steps in analytical methodology. In the GAPI index, the different stages of the chemical analysis process are depicted using five pentagrams divided in subsections, labeled green, yellow, or red according to the degree of greenness. This GAPI tool provides a quick overview of the environmental impact and safety of the procedure. However, there is no total score that can be calculated from the GAPI metric to enable comparison between methods. In this work, a modified GAPI tool (MoGAPI) and software have been developed and applied to address the limitations of the current GAPI metric. The presented tool offers a more precise assessment of greenness, while the software simplifies and expedites its application. It also combines the advantages of the analytical Eco-Scale with the merits of the widely used GAPI metric. This tool was successfully applied to calculate the greenness of a few case studies and applications to show the applicability of this modified metric. The software for the MoGAPI tool is also freely available (open source) at bit.ly/MoGAPI to facilitate application and method comparison. The MoGAPI tool and its software represent a significant advancement in greenness assessment, providing researchers with a robust and user-friendly means to evaluate and compare analytical methods.

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Articles

Type:

artykuły w czasopismach

Published in:

Analytica no. 5, pages 451 - 457,
ISSN: 2673-4532

Language:

English

Publication year:

2024

Bibliographic description:

Mansour F. R., Płotka-Wasylka J., Locatelli M.: Modified GAPI (MoGAPI) Tool and Software for the Assessment of Method Greenness: Case Studies and Applications// Analytica -Vol. 5,iss. 3 (2024), s.451-457

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