SMPBR - Smart Modular Photo BioReactor
Smart modular photobioreactor for flexible and scalable algae cultivation within controlled environment
Overview
Scalable platform
Compact dimensions and cost-efficient design allows
deployment in large numbers,
enabling accelerated research.
Fully automatable system
The open API enables full remote
access, control, programming, and automation of each unit.
Devices can operate independently or be synchronized
in controlled groups, providing maximum experimental
flexibility.
Modular architecture
The device consists of
interchangeable modules that can
be adapted to
specific experimental needs. The
lighting system can be easily reconfigured (color,
intensity), and spectral detectors with different
wavelengths can be used for
precise monitoring. The platform
can be further expanded with
external modules such as
additional pumps, temperature sensors, or other monitoring
devices.
Open-source technology
Complete documentation, including mechanical design,
electronics, and source code is
fully open-source. This ensures
full transparency and allows
users to modify and
adapt the system to their
specific research requirements.
Easy handling
The smart design with a
replaceable bottle enables fast
and simple handling, reducing downtime during culture
exchange and maintenance while ensuring smooth
experimental workflows.
All documentation can be accessed via our GitHub page here:
TrendBit Github
Specs
Technical specifications
| Dimensions | 20 x 16 x 20 cm (H × W × D) |
| Weight | - |
| Supply voltage | - |
| Consumption approx. | - |
| Operating humidity | 0 - 80 % |
Software
Semi-manual control via a web interface that allows you to set the
runtime and component parameters (such as temperature, mixing
intensity, lighting). Subsequently an experiment is run where the
user can manipulate the settings.
Database, which can be either local (on the reactor itself) or on
an external defined server. Multiple reactors can export to a
dedicated server at once. This data can be analysed for comparison
or anomalies can be automatically detected
Contact
| Company | TrendBit a.s. |
| Address | Strmá 2811/63, 616 00 Brno, Czech Republic |
| ID (IČO) | 19357630 |
| VAT ID | CZ19357630 |
| info@trendbit.cz | |
| GitHub | github.com/TrendBit |