Evidence map›Paper›PMID 38731622›Full record

ArticleMolecules (Basel, Switzerland)2024

Integrated Approach of Life Cycle Assessment and Experimental Design in the Study of a Model Organic Reaction: New Perspectives in Renewable Vanillin-Derived Chemicals.

Chiara Ruini, Erika Ferrari, Caterina Durante, Giulia Lanciotti, Paolo Neri, Anna Maria Ferrari, Roberto Rosa

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chiara RuiniDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, v. Amendola 2, 42122 Reggio Emilia, Italy.ORCID 0009-0003-7806-4514
Erika FerrariDepartment of Chemical and Geological Sciences, University of Modena and Reggio Emilia, v. Campi 103, 41125 Modena, Italy.ORCID 0000-0001-7627-2502
Caterina DuranteDepartment of Chemical and Geological Sciences, University of Modena and Reggio Emilia, v. Campi 103, 41125 Modena, Italy.ORCID 0000-0002-3955-7522
Giulia LanciottiDepartment of Chemical and Geological Sciences, University of Modena and Reggio Emilia, v. Campi 103, 41125 Modena, Italy.
Paolo NeriDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, v. Amendola 2, 42122 Reggio Emilia, Italy.
Anna Maria FerrariDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, v. Amendola 2, 42122 Reggio Emilia, Italy.ORCID 0000-0002-6265-4419
Roberto RosaDepartment of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, v. Amendola 2, 42122 Reggio Emilia, Italy.ORCID 0000-0002-1863-1631

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work is focused on performing a quantitative assessment of the environmental impacts associated with an organic synthesis reaction, optimized using an experimental design approach. A nucleophilic substitution reaction was selected, employing vanillin as the substrate, a phenolic compound widely used in the food industry and of pharmaceutical interest, considering its antioxidant and antitumoral potential. To carry out the reaction, three different solvents have been chosen, namely acetonitrile (ACN), acetone (Ace), and dimethylformamide (DMF). The syntheses were planned with the aid of a multivariate experimental design to estimate the best reaction conditions, which simultaneously allow a high product yield and a reduced environmental impact as computed by Life Cycle Assessment (LCA) methodology. The experimental results highlighted that the reactions carried out in DMF resulted in higher yields with respect to ACN and Ace; these reactions were also the ones with lower environmental impacts. The multilinear regression models allowed us to identify the optimal experimental conditions able to guarantee the highest reaction yields and lowest environmental impacts for the studied reaction. The identified optimal experimental conditions were also validated by experimentally conducting the reaction in those conditions, which indeed led to the highest yield (i.e., 93%) and the lowest environmental impacts among the performed experiments. This work proposes, for the first time, an integrated approach of DoE and LCA applied to an organic reaction with the aim of considering both conventional metrics, such as reaction yield, and unconventional ones, such as environmental impacts, during its lab-scale optimization.

Indexed as

DoELCAorganic synthesisReCiPe2016vanillin

Identifiers

PMID38731622
PMCPMC11085093

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.