Evidence map›Paper›PMID 35037432›Full record

ArticleBiotechnology progress2022

Analysis of fouling and breakthrough of process related impurities during depth filtration using confocal microscopy.

Maria Parau, Thomas F Johnson, James Pullen, Daniel G Bracewell

Open access · hybridAbstract read
In one paragraph

Article in Biotechnology progress, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Maria ParauDepartment of Biochemical Engineering, University College London, London, UK.ORCID 0000-0002-6100-1299
Thomas F JohnsonDepartment of Biochemical Engineering, University College London, London, UK.ORCID 0000-0001-6494-2206
James PullenFUJIFILM Diosynth Biotechnologies, Billingham, UK.
Daniel G BracewellDepartment of Biochemical Engineering, University College London, London, UK.ORCID 0000-0003-3866-3304
University College London · GBFujifilm (United Kingdom) · GB

Funding

Medical Research Council MR/W004399/1
6 · The paper itself

Abstract

Titer improvement has driven process intensification in mAb manufacture. However, this has come with the drawback of high cell densities and associated process related impurities such as cell debris, host cell protein (HCP), and DNA. This affects the capacity of depth filters and can lead to carryover of impurities to protein A chromatography leading to early resin fouling. New depth filter materials provide the opportunity to remove more process related impurities at this early stage in the process. Hence, there is a need to understand the mechanism of impurity removal within these filters. In this work, the secondary depth filter Millistak+ X0HC (cellulose and diatomaceous earth) is compared with the X0SP (synthetic), by examining the breakthrough of DNA and HCP. Additionally, a novel method was developed to image the location of key impurities within the depth filter structure under a confocal microscope. Flux, tested at 75, 100, and 250 LMH was found to affect the maximal throughput based on the max pressure of 30 psi, but no significant changes were seen in the HCP and DNA breakthrough. However, a drop in cell culture viability, from 87% to 37%, lead to the DNA breakthrough at 10% decreasing from 81 to 55 L/m

Indexed as

ChromatographyFiltrationAnimalsCHO CellsCricetinaeCricetulusMicroscopy, ConfocalProteinsProteinsbioprocessingCHO cell culturedepth filterdownstream processingharvest

Identifiers

PMID35037432
PMCPMC9286597
OpenAlexW4206719677

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.