4.7 Review

AGREEprep - Analytical greenness metric for sample preparation

Journal

TRAC-TRENDS IN ANALYTICAL CHEMISTRY
Volume 149, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.trac.2022.116553

Keywords

Green analytical chemistry; Green metrics; Sample preparation; Green chemistry; Sustainability assessment

Funding

  1. IUPAC project [2021-015-2-500]
  2. Division of Analytical Chemistry of the European Chemical Society
  3. Xunta de Galicia [ED431I 2020/04]

Ask authors/readers for more resources

AGREEprep is a metric tool that prioritizes sample preparation, evaluating factors such as solvent, material, and reagent choices, waste generation, and energy consumption to calculate the final assessment score. The assessment procedure utilizes intuitive software to generate an easy-to-read information pictogram showing overall performance and threat structure.
This work proposes for the first time, a metric tool that gives prominence to sample preparation. The developed metric (termed AGREEprep) was based on 10 categories of impact that were recalculated to 0-1 scale sub-scores, and then used to calculate the final assessment score. The criteria of assessment evaluated, among others, the choice and use of solvents, materials and reagents, waste generation, energy consumption, sample size, and throughput. Assessment was also based on the possibility to differentiate between criteria importance by assigning them weights. The assessment procedure was performed using an open access, intuitive software that produced an easy-to-read pictogram with information on the total performance and structure of threats. A compiled version of the open access software can be obtained from mostwiedzy.pl/AGREEprep. The applicability of AGREEprep was successfully demonstrated using six different methods as case studies. (C) 2022 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available