Evidence map›Paper›PMID 39926435›Full record

ArticleIndustrial & engineering chemistry research2025

Cost Estimation of the Production of MIL-100(Fe) at Industrial Scale from Two Upscaled Sustainable Synthesis Routes.

Maria Inês Severino, Cátia Freitas, Vanessa Pimenta, Farid Nouar, Moisés L Pinto, Christian Serre

Abstract read
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Article in Industrial & engineering chemistry research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
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  3. Article
  4. Article
  5. Review
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  7. Review
  8. Iron-MOFs for Biomedical Applications.Advanced healthcare materials · 2025
    Review
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

6 authors.

Maria Inês SeverinoCERENA, Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.
Cátia FreitasCERENA, Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.ORCID https://orcid.org/0000-0003-0325-691X
Vanessa PimentaInstitut des Matériaux Poreux de Paris, ESPCI Paris, Ecole Normale Supérieure, CNRS, PSL University, 75005 Paris, France.
Farid NouarInstitut des Matériaux Poreux de Paris, ESPCI Paris, Ecole Normale Supérieure, CNRS, PSL University, 75005 Paris, France.
Moisés L PintoCERENA, Departamento de Engenharia Química, Instituto Superior Técnico, Universidade de Lisboa, 1049-001 Lisboa, Portugal.ORCID https://orcid.org/0000-0003-3061-9632
Christian SerreInstitut des Matériaux Poreux de Paris, ESPCI Paris, Ecole Normale Supérieure, CNRS, PSL University, 75005 Paris, France.ORCID https://orcid.org/0000-0003-3040-2564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the impact of MOF synthesis conditions on the production cost is vital in order to have a competitive product with a view toward industrial applications. Here, considering the benchmark mesoporous iron(III) trimesate MIL-100(Fe) as a prototypical example, we show that the production cost can reach <30 $/kg if a careful selection of the synthetic route is made. Two routes were considered in the analysis, using sulfate and nitrate as iron sources. A new optimized synthesis protocol in a 5 L laboratory pilot-scale reactor based on iron sulfate was developed using optimized sustainable aqueous ambient pressure conditions, leading to larger particles and a higher space-time yield. Based on reliable pilot-scale data and established chemical engineering estimation methods, this leads to a significantly lower production cost of high-quality MIL-100(Fe), achieving a potential competitive product.

Identifiers

PMID39926435
PMCPMC11803623

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Registered trials

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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.