Evidence map›Paper›PMID 39927211›Full record

ArticleEngineering in life sciences2025

Real-Time VCC Monitoring and Forecasting in HEK-Cell-Based rAAV Vector Production Using Capacitance Spectroscopy.

Rafael Machleid, Suneetha Nunna, Ajith George, Jonas Austerjost, Magda Tomala, Izabella Surowiec

Abstract read
In one paragraph

Article in Engineering in life sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Rafael MachleidSartorius Stedim Biotech GmbH Advanced Analytics & Spectroscopy, Embedded Hardware Göttingen Germany.
Suneetha NunnaSartorius Stedim Biotech GmbH Application Testing Separation Consumables - Upstream Göttingen Germany.
Ajith GeorgeSartorius Stedim Biotech GmbH Advanced Analytics & Spectroscopy, Embedded Hardware Göttingen Germany.
Jonas AusterjostSartorius Stedim Biotech Advanced BioAnalytics, Corporate Research Göttingen Germany.ORCID https://orcid.org/0000-0002-2080-1556
Magda TomalaSartorius Stedim Biotech GmbH Application Testing Separation Consumables - Upstream Göttingen Germany.
Izabella SurowiecSartorius Stedim Data Analytics AB Advanced Analytics & Spectroscopy, Embedded Hardware Umeå Sweden.ORCID https://orcid.org/0009-0002-3709-2458

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant adeno-associated virus (rAAV) vector production is a complex process in which the robust cultivation of human embryonic kidney cells (HEK293) plays a critical role in generating high-quality viral vectors. Tracking the viable cell concentration (VCC) during upstream production is essential for process monitoring and for implementing actions that ensure optimal process management. The advent of inline capacitance probes has introduced a crucial process analytical technology (PAT) tool for real-time VCC measurement. Here, we present the development and application of a method for real-time monitoring of VCC in HEK293-based rAAV vector production. In a first step, BioPAT Viamass probes were used to record capacitance data of individual 10 L rAAV-8 batches within a frequency range of 50 kHz-20 MHz. Based on the capacitance data, a linear single-frequency model and an orthogonal partial least square (OPLS) multifrequency model for VCC prediction were developed. Subsequently, these models were deployed inline, and predictions were exposed into BioPAT MFCS bioprocess control software, enabling real-time VCC monitoring in subsequent rAAV-8 production batches. In addition, the continuous VCC signal was used as input for an exponential cell growth model that was deployed inline to provide accurate real-time forecasting of the transfection time point. To the best of our knowledge, this is the first example of inline deployment of VCC and Time-Till-Transfection predictive models to the bioprocess control system for real-time monitoring and forecasting of these parameters in HEK-cell-based transient rAAV vector production.

Identifiers

PMID39927211
PMCPMC11802648

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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.