Evidence map›Paper›PMID 35012049›Full record

ArticlePolymers2021

Sustainable Design Approach for Modeling Bioprocesses from Laboratory toward Commercialization: Optimizing Chitosan Production.

Samir Meramo, Ángel Darío González-Delgado, Sumesh Sukumara, William Stive Fajardo, Jeffrey León-Pulido

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
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 at 3 institutions in 2 countries.

Samir MeramoSustainable Innovation Office, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Lyngby-Taarbæk, Denmark.ORCID 0000-0002-9350-9898
Ángel Darío González-DelgadoNanomaterials and Computer-Aided Process Engineering, Chemical Engineering Program, Universidad de Cartagena, Piedra de Bolívar, Street 30 #48-152, Cartagena 130000, Colombia.ORCID 0000-0001-8100-8888
Sumesh SukumaraSustainable Innovation Office, Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet 220, 2800 Lyngby-Taarbæk, Denmark.
William Stive FajardoFaculty of Engineering, Universidad EAN, Street 71 #9-84, Bogota 111311, Colombia.
Jeffrey León-PulidoChemical Engineering Program, Universidad EAN, Street 71 #9-84, Bogota 111311, Colombia.ORCID 0000-0002-3603-286X
Novo Nordisk Foundation · DKUniversidad EAN · COUniversity of Cartagena · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing the biochemical supply chain towards sustainable development requires more efforts to boost technology innovation at early design phases and avoid delays in industrial biotechnology growth. Such a transformation requires a comprehensive step-wise procedure to guide bioprocess development from laboratory protocols to commercialization. This study introduces a process design framework to guide research and development (R&D) through this journey, bearing in mind the particular challenges of bioprocess modeling. The method combines sustainability assessment and process optimization based on process efficiency indicators, technical indicators, Life Cycle Assessment (LCA), and process optimization via Water Regeneration Networks (WRN). Since many bioprocesses remain at low Technology Readiness Levels (TRLs), the process simulation module was examined in detail to account for uncertainties, providing strategies for successful guidance. The sustainability assessment was performed using the geometric mean-based sustainability footprint metric. A case study based on Chitosan production from shrimp exoskeletons was evaluated to demonstrate the method's applicability and its advantages in product optimization. An optimized scenario was generated through a WRN to improve water management, then compared with the case study. The results confirm the existence of a possible configuration with better sustainability performance for the optimized case with a sustainability footprint of 0.33, compared with the performance of the base case (1.00).

Indexed as

bioprocess modelingchitosanprocess optimizationsustainability assessmentTRLs

Identifiers

PMID35012049
PMCPMC8747652
OpenAlexW4200230985

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.