ReviewAnalytical and bioanalytical chemistry2025
Application of process analytical technology for real-time monitoring of synthetic co-culture bioprocesses.
Review in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Image-based high-dimensional deep learning framework for spatiotemporal modeling, prediction and transfer learning of microbial cultivation processes.Bioprocess and biosystems engineering · 2026Article
- Biocalorimetry for the biotechnological use of natural and synthetic macromolecules.Applied microbiology and biotechnology · 2026Review
- DSOF: A Rapid Method to Determine the Abundance of Microalgae and Methanotrophic Bacteria in Coculture Using a Combination of Differential Sedimentation, Optical Density, and Fluorescence.Bioengineering (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Synthetic microbial co-cultures can enhance bioprocess performance by division-of-labor strategies that, through spatial segregation of product-pathway modules, circumvent or mitigate negative impacts of the expression of an entire product pathway in a single microorganism. Relative abundance of the microbial partners is a key parameter for the performance of such co-cultures. Population control strategies based on genetic engineering have been explored, but the required interventions may impose an additional metabolic burden and thereby negatively affect co-culture performance. Regulation of co-culture composition by controlled substrate feeding strategies or temperature control requires real-time population monitoring. Process analytical technology (PAT) is an approach for real-time monitoring and control of processes, enabling continuous observation of co-cultivation that may serve as a foundation for population control strategies. In this review, we discuss PAT methods for monitoring synthetic co-cultures, either through direct biomass measurements or by tracking soluble or volatile metabolites. We discuss advantages, limitations, and applications of established as well as emerging technologies and conclude that leveraging PAT for precise, real-time population control has the potential to enhance stability, efficiency, and industrial scalability of synthetic co-cultures.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.