Evidence map›Paper›PMID 36972192›Full record

ArticleIndustrial & engineering chemistry research2023

Development of an Interactive Software Tool for Designing Solvent Recovery Processes.

Jake P Stengel, Austin L Lehr, Emmanuel A Aboagye, John D Chea, Kirti M Yenkie

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Article in Industrial & engineering chemistry research, 2023. 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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0cells of the map it votes in
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

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

5 authors.

Jake P StengelDepartment of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.
Austin L LehrDepartment of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.
Emmanuel A AboagyeDepartment of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.ORCID https://orcid.org/0000-0002-6090-527X
John D CheaDepartment of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.ORCID https://orcid.org/0000-0002-8052-6509
Kirti M YenkieDepartment of Chemical Engineering, Rowan University, 201 Mullica Hill Road, Glassboro, New Jersey08028, United States.ORCID https://orcid.org/0000-0002-8044-0369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Solvents are used in chemical and pharmaceutical industries as a reaction medium, selective dissolution and extraction media, and dilution agents. Thus, a sizable amount of solvent waste is generated due to process inefficiencies. Most common ways of handling solvent waste are on-site, off-site disposal, and incineration, which have a considerable negative environmental impact. Solvent recovery is typically not used because of potential difficulties in achieving required purity guidelines, as well as additional infrastructure and investments that are needed. To this end, this problem must be studied carefully by involving aspects from capital needs, environmental benefits, and comparison with traditional disposal methods, while achieving the required purity. Thus, we have developed a user-friendly software tool that allows engineers to easily access solvent recovery options and predict an economical and environmentally favorable strategy, given a solvent-containing waste stream. This consists of a maximal process flow diagram that encompasses multiple stages of separations and technologies within those stages. This process flow diagram develops the superstructure that provides multiple technology pathway options for any solvent waste stream. Separation technologies are placed in different stages; depending on the component, they can separate in terms of their physical and chemical properties. A comprehensive chemical database is created to store all relevant chemical and physical properties. The pathway prediction is modeled as an economic optimization problem in General Algebraic Modeling Systems (GAMS). With GAMS code as the backend, a Graphical User Interface (GUI) is created in Matlab App Designer to provide a user-friendly tool to the chemical industry. This tool can act as a guidance system to assist professional engineers and provide an easy comparative estimate in the early stages of process design.

Identifiers

PMID36972192
PMCPMC10035026

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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.