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Abstrakt
Sample preparation is a key step in the analytical procedure and a critical component for achieving analytical greenness. AGREEprep is the first metric intended for evaluating the environmental impact of sample preparation methods. The approach consists of ten steps of assessment that correspond to the ten principles of green sample preparation and uses a user-friendly open-source software to calculate and visualize the results. Despite the simplicity of the approach, some assessment steps can be difficult to evaluate in a straightforward manner, either because essential data are not readily available or, in some cases, are poorly defined. This walkthrough tutorial on AGREEprep serves as an in depth yet simple guide for new users that elucidates all aspects of the greenness assessment. It will prove beneficial to analysts wishing to assess the greenness of their own developed procedures or those found in the literature, which can be challenging taken that critical data is often not reported. Particular attention is given to the calculations involved in estimating the amount of waste generated and energetic requirements. The impact of weight values of criteria on the overall final score are discussed and using two hypothetical scenarios is related to the analytical goals of operators. Finally, several assessment examples are given in the supplementary information to familiarize assessors with all assessment steps.
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Autorzy (4)
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Francisco Pena-Pereira
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Elefteria Psillakis
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Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.sampre.2022.100025
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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Advances in Sample Preparation
nr 3,
ISSN: 2772-5820 - Język:
- angielski
- Rok wydania:
- 2022
- Opis bibliograficzny:
- Pena-Pereira F., Tobiszewski M., Wojnowski W., Psillakis E.: A Tutorial on AGREEprep an Analytical Greenness Metric for Sample Preparation// Advances in Sample Preparation -Vol. 3, (2022), s.100025-
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1016/j.sampre.2022.100025
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 335 razy
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