ArticleGEN biotechnology2024
Real-Time Monitoring in Biomanufacturing with Graphene Field-Effect Transistor Sensors: Detection of pH, Glucose, and Antibodies.
Article in GEN biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Graphene Nanosensor for the Detection of Small Organic Compounds Using an Insect Olfactory Receptor.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- An Aptamer-Based gFET-Sensor for Specific Quantification of Gene Therapeutic Human Adenovirus Type 5.Biosensors · 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
7 authors.
Funding
Abstract
In high-efficiency smart biomanufacturing, continuous monitoring of products, byproducts, and reagents is crucial for optimizing production processes, improving yield, and ensuring product quality. This monitoring maintains optimal conditions, reduces waste, and enables swift corrective actions, minimizing the risk of producing out-of-specification products. With advancements in cell-free biomanufacturing, the importance of in-line sensing technologies has increased, as they provide real-time tracking of biochemical processes, allowing immediate adjustments to keep manufacturing efficient and consistent. In this study, we successfully developed a graphene field-effect transistor (gFET) sensor to monitor key parameters such as glucose, pH, and immunoglobulin G antibody levels in cell culture media from a CHO cells bioreactor. The gFET sensor accurately detected pH levels between 6.8 and 8.2, glucose concentrations from 5 to 30 mM, and antibody levels ranging from 25 to 100 µg/mL, highlighting the potential of graphene sensors for inline sensing in advanced biomanufacturing.
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.