Evidence map›Paper›PMID 42347961›Full record

ArticleBioprocess and biosystems engineering2026

Impact of N-1 phase media optimization as a bioprocess intensification strategy on fed-batch production.

Mustafa Doğukan Metiner, Elif Damla Arisan, Abdullah Uslu, Işıl Kurnaz

Abstract read
In one paragraph

Article in Bioprocess and biosystems engineering, 2026. 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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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.

Mustafa Doğukan MetinerInstitute of Biotechnology, Gebze Technical University, 41400, Gebze, Kocaeli , Türkiye. mdmetiner@gtu.edu.tr.
Elif Damla ArisanInstitute of Biotechnology, Gebze Technical University, 41400, Gebze, Kocaeli , Türkiye.
Abdullah UsluMarmara Teknokent (MARTEK) Biotechnology R&D Center, Nobel Pharmaceuticals, 41400, Gebze, Kocaeli, Türkiye.
Işıl KurnazInstitute of Biotechnology, Gebze Technical University, 41400, Gebze, Kocaeli , Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the biopharmaceutical industry, improving process efficiency and reducing manufacturing costs remain major priorities. Conventional fed-batch processes are often limited by low initial cell densities, resulting in extended culture duration and reduced productivity. However, the combined effect of N-1 media optimization and high-cell-density (HCD) inoculation remains insufficiently characterized. This study systematically assessed the impacts of N-1 media optimization and initial seeding density utilizing a CHO-ZN cell line. During the N-1 phase, a media exchange strategy increased the cell density from approximately 3 × 10⁶ cells/mL to 15-22 × 10⁶ cells/mL, enabling direct production inoculation at 8 × 10⁶ cells/mL without an additional seed expansion step. Compared with low-cell-density (LCD; 1.2 × 10⁶ cells/mL) cultures, HCD cultures reduced production duration by approximately 36% and increased product concentration by about 89% (~ 3500 mg/L vs. ~1850 mg/L). Average interval-based specific productivity (qP), increased from approximately 17 to 31 pg/cell/day, suggesting that the gains in productivity were not solely attributable to increased biomass. Importantly, when the production-phase medium was standardized, differences in titer concentration, metabolite profiles, viability, and interval-based qP persisted among cells conditioned in different N-1 media. This indicates that N-1 medium composition influenced subsequent fed-batch behavior not only by affecting inoculum biomass, but also by modulating the physiological state of the cells prior to production inoculation. Overall, these findings emphasize the role of N-1 medium-dependent physiological conditioning in determining productivity, metabolic behavior, and product quality attributes under intensified fed-batch conditions.

Indexed as

Batch Cell Culture TechniquesBioreactorsCulture MediaAnimalsCell CountCHO CellsCricetinaeCricetulusCulture MediaBioprocess optimizationCHO-ZN cell lineHigh cell densityN-1 intensificationProcess efficiency

Identifiers

PMID42347961
PMCPMC13379465

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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.