Evidence map›Paper›PMID 40365219›Full record

ArticleRSC advances2025

The importance of measuring diffusion coefficients in reactor design and simulation.

Francesco Taddeo, Ornella Ortona, Donato Ciccarelli, Riccardo Tesser, Henrik Grénman, Martino Di Serio, Vincenzo Russo, Luigi Paduano

Abstract read
In one paragraph

Article in RSC advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

8 authors.

Francesco TaddeoDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.ORCID https://orcid.org/0000-0003-1476-5867
Ornella OrtonaDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.
Donato CiccarelliDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.
Riccardo TesserDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.
Henrik GrénmanLaboratory of Industrial Chemistry and Reaction Engineering, Åbo Akademi Henrikinkatu 2 FI-20500 Turku/Åbo Finland.
Martino Di SerioDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.ORCID https://orcid.org/0000-0003-4489-7115
Vincenzo RussoDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.ORCID https://orcid.org/0000-0002-1867-739X
Luigi PaduanoDepartment of Chemical Sciences, University of Naples Federico II Via Cintia IT-80126 Naples Italy v.russo@unina.it luigi.paduano@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glucose is extensively employed to produce sorbitol through catalytic hydrogenation. In the process development, parameters such as fluid dynamic conditions, temperature, and diffusion coefficients must be evaluated. To optimize the production of sorbitol, it is necessary to know the diffusion coefficients of the reacting system. In this study, they were determined at different solute concentrations and temperatures. Diffusion coefficients can also be estimated using models, such as Wilke-Chang and Hayduk and Minhas correlations. The values between 25 °C and 45 °C are similar to the experimental data, while at 65 °C, both models significantly overestimate the experimental results. As for the ternary systems, at 25 °C, both glucose and sorbitol are essentially transported by their concentration gradient. Finally, simulations of reactors operating in laminar flow conditions were made, estimating the diffusion coefficients using the Wilke-Chang correlation and determining them experimentally, showing that the glucose conversion profile along the axis of the reactor was different.

Identifiers

PMID40365219
PMCPMC12070269

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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.