Automated Bioreactor with Dynamic Light and Temperature Control

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Solution Overview

Problem

Conventional bioreactor systems lack the flexibility to continuously monitor and adjust microorganism culture parameters, leading to inefficient production due to their focus on single tasks and species-specific designs, which can result in suboptimal growth, health, and product yield when faced with varying environmental conditions.

Innovation Solution

A system comprising a controlled environment with adjustable lighting and temperature control, using sensors and an automated controller to continuously monitor and adjust parameters such as light wavelength, intensity, and temperature to maintain an optimal culture profile for microorganisms, regardless of species or conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional bioreactor systems are used with single-task focus and species-specific designs, then device simplicity is maintained, but adaptability to different microorganism species and environmental conditions deteriorates

Engineering Contradiction:
Improveadaptability to different microorganism species and conditionsVSAvoidsystem complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The bioreactor system is designed with multi-functional capabilities to support different microorganism species and cultivation modes. The system can switch between phototrophic and heterotrophic modes, accommodate various light wavelengths, and adjust temperature ranges to suit different microbial requirements, making a single system versatile enough to replace multiple species-specific reactors

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system incorporates dynamic control mechanisms that allow real-time adjustment of cultivation parameters. The automated controller continuously monitors and modifies light intensity, wavelength, temperature, and aeration rates based on sensor feedback, enabling the system to adapt to changing microbial needs throughout the cultivation cycle

Inventive Principle:
Principle #15Dynamics

2Productivity

If continuous monitoring and adjustment of culture parameters is implemented, then culture optimization and productivity are improved, but device complexity and measurement requirements increase

Engineering Contradiction:
Improveculture yield and efficiencyVSAvoidmonitoring and control system complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system employs sensor arrays that continuously monitor culture parameters such as pH, dissolved oxygen, light absorption, and temperature. This data is fed back to the automated controller, which adjusts cultivation conditions in real-time to maintain optimal growth parameters, thereby maximizing productivity through closed-loop control

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The automated control system operates autonomously to maintain optimal culture conditions without continuous human intervention. The system self-regulates by detecting parameter deviations and automatically adjusting light intensity, temperature, and aeration, reducing the need for manual monitoring and adjustment

Inventive Principle:
Principle #25Self-service

3Reliability

If multiple culture parameters are adjusted simultaneously, then culture optimization is improved, but control difficulty and parameter interdependence increase

Engineering Contradiction:
Improveculture stability and healthVSAvoidparameter control ease
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The automated controller uses real-time sensor data to coordinate adjustments of multiple parameters simultaneously. When one parameter changes (e.g., light intensity affecting temperature), the system detects the secondary effects and compensates by adjusting other parameters accordingly, maintaining cultural stability through coordinated multi-parameter control

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system employs programmed parameter profiles that define optimal relationships between multiple cultivation parameters. The automated controller executes these pre-established parameter combinations and adjusts them systematically, simplifying the management of complex parameter interdependencies through structured control strategies

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables continuous optimization of microorganism culture profiles, enhancing growth, health, and product yield by adapting to changing environmental conditions, thereby reducing losses and increasing efficiency in microorganism cultivation.

Implementation Method 1

photosynthetic microorganisms use the energy provided by light in conjunction with carbon dioxide to produce chemical energy that is usable by the microorganisms for various cellular activities

Methodology Applied
Scientific EffectPhotosynthesis: Photosynthesis

Implementation Method 2

a temperature control device configured to control the temperature of the interior volume within the housing

Methodology Applied
Scientific EffectThermal control: Heating

Data Source

PatentUS10023830B2Systems and methods for the continuous optimization of a microorganism culture profile
Publication Date: 2018.07.17 HELIAE DEVELOPMENT LLC
  • US10023830B2 patent drawing
  • US10023830B2 patent drawing
  • US10023830B2 patent drawing

AI summary

Systems and methods are disclosed for continuously optimizing the profile of an aqueous culture comprising microorganisms. The systems and methods comprise a controlled environment comprising a housing enclosing a lighting device and controlled temperature environment, and sensor modules for measuring culture and environment parameters. The sensor modules may be in communication with an automated computer control system to continuously optimize the microorganism culture profile.