Cell Growth Quantifier BioR (CGQ BioR)
The CGQ BioR is an optical sensor-based technology for non-invasive online biomass monitoring in bioreactors.
Overview
Monitor biomass and growth rates in your bioreactors with high-resolution growth curves using the CGQ BioR. Optical biomass measurements are based on scattered light detection without the use of integrated sensors. Simply mount the sensor plate to the outside of your reactor and monitor the biomass through the vessel wall. Follow the growth of your cultures in real time to gain actionable insights into your strain’s growth behavior.
- Save time with automated, online, non-invasive biomass monitoring in up to 64 bioreactors in parallel
- 2 measurement modes for high and low biomass concentrations
- No cleaning or sterilization required
- Free up reactor port space
- Flexible integration of biomass data into other software (e.g., analog, OPC…)
- Gain actionable insights with high resolution growth curves
- Powerful software for experiment control and advanced data analytics
What Our Customers Are Saying
-Prof. Dr. -Ing. Thomas Walther (TU Dresden)
How it Works
The CGQ’s technique for noninvasive cell density monitoring is based on the principle of light scattering.
Using an array of LEDs and photodiodes, the sensor emits light through the wall of the vessel and measures the amount of light that is scattered back. The more cells that are in the reactor, the more light that is scattered back. This backscatter signal can be correlated with offline cell density data, such as OD600 or cell dry weight (CDW).
CGQ Sensing
Architecture
The sensor of the CGQ BioR contains two LEDs and a photodiode detector. The two LEDs with different wavelengths are used to allow for precise measurements at low and high cell densities.
Biomass Monitoring by Backscattered Light
Light is emitted from the LEDs into the culture medium. While most photons go straight through the broth, some are scattered by the cells and return to the photodiode, which measures the scattered light intensity. The higher the cell density, the more light is scattered back to the photodiode.
Hardware & Software Components
CGQ Sensor
Each sensor is positioned outside of the bioreactor, measuring the biomass through the vessel wall.
Base Station
Several sensors can be connected to a single base station. The base station bundles the data from all monitored flasks and sends it to the software.
CGQuant Software
The software then analyzes the biomass signals and presents it as a real-time growth curve. Datasets can be easily exported for further data analysis.
Specifications
Compatible Laboratory Infrastructure
The CGQ BioR is compatible with a variety of bioreactors. Different sized attachment straps provide maximum flexibility, allowing the same sensor to be used with different bioreactor sizes and manufacturers.
For different reactor types:
- Single-jacket
- Double-jacket
For different reactor sizes:
- Mini bioreactor systems
- Bench top bioreactors
- Production scale
Compatible Organisms
Bacteria
- Escherichia coli
- Corynebacterium glutamicum
- Bacillus subtilis
- Pseudomonas putida
- Pseudomonas taiwanensis
- Gluconobacter oxydans
- Lactobacillus plantarum
- Vibrio natriegens
- Vibrio cholerae
- Staphylococcus aureus
- Klebsiella pneumoniae
- Actinobacillus pleuropneumoniae
- Chromobacterium violaceum
- Blautia producta
- Hungtatella hathewayi
- Prevotella copri
Yeast
- Saccharomyces cerevisiae
- Schizosaccharomyces pombe
- Pichia pastoris
- Yarrowia lipolytica
- Kluyveromyces lactis
- Hansenula polymorpha
- Ustilago maydis
Filamentous organisms
- Aspergillus fumigatus
- Aspergillus nidulans
- Aspergillus niger
- Streptomyces acidiscabies
- Streptomyces venezuelae
- Trichoderma reesei
Archaea
- Haloferax volcanii
- Sulfolobus acidocaldarius
Anaerobic organisms
- Acetobacterium woodii
- Clostridium aectobutylicum
- Clostridium ljungdahlii
- Clostridium difficile
Phototrophic organisms
- Chlorella vulgaris
- Scenedesmus obliquus
- Synechococcus elongatus
- Nicotiana tabacum BY-2 (plant cells)
From Estimation to Information
Why CGQ for your Bioreactors?
Manual sampling-based data is often not sufficient to fully understand the bioprocess. Offline sampling is complex and time consuming, resulting in lower measurement frequency with most pulls being at the start or the end of the experiment. This means that critical information from your growth phases are being overlooked, and could have a detrimental impact on your final product. Automated online measurements, on the other hand, never miss a moment. With a high resolution growth curve, you can detect bioprocess changes in real time.
Customer Success Stories
