Evidence map›Paper›PMID 42273893›Full record

ArticleBiotechnology and bioengineering2026

Real-Time Biomass Estimation in High-Density Yeast Fermentations Using Soft Sensor Modeling.

Ana G Del Hierro, José Luis Checa-Barrera, Juan A Moreno-Cid, Eoin Casey

Abstract read
In one paragraph

Article in Biotechnology and bioengineering, 2026. 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

4 authors.

Ana G Del HierroSchool of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin, Ireland.ORCID https://orcid.org/0000-0002-9487-8337
José Luis Checa-BarreraBioprocessing R&D Department, Bionet, Parque Tecnológico Fuente Álamo, Fuente Álamo, Spain.ORCID https://orcid.org/0009-0001-9668-3031
Juan A Moreno-CidBioprocessing R&D Department, Bionet, Parque Tecnológico Fuente Álamo, Fuente Álamo, Spain.ORCID https://orcid.org/0000-0003-3187-3296
Eoin CaseySchool of Chemical and Bioprocess Engineering, University College Dublin, Belfield, Dublin, Ireland.ORCID https://orcid.org/0000-0002-6471-7356

Funding

European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie 101034323
6 · The paper itself

Abstract

Accurate biomass monitoring remains a bottleneck in industrial fermentation, where conventional offline methods, gravimetric dry cell weight (DCW) and spectrophotometric optical density at 600 nm (OD

Indexed as

BiomassFermentationKluyveromycesModels, BiologicalYarrowiabiomass estimationbioprocess monitoringcross‐validationoptical densityregression‐modelingsoft sensoryeast fermentation

Identifiers

PMID42273893
PMCPMC13521467

What OpenQuestion holds

Textmetadata
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.