Camera-Based Freeze-Drying Control for Pharmaceutical Solutions
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Solution Overview
Problem
Existing freeze-drying processes for pharmaceutical solutions in medical hollow bodies are inefficient due to temperature sensor interference, requiring lower temperatures and longer processing times, and often necessitate laborious experimental determination of optimal parameters to prevent product collapse.
Innovation Solution
A device and method utilizing a camera inside the freeze-drying chamber to monitor and control the process through image analysis, allowing for real-time adjustment of parameters like temperature, pressure, and humidity without direct contact, enabling precise online control and eliminating the need for pre-determined limit parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If temperature sensors are installed in the product to control the freeze-drying process, then the product temperature can be monitored and controlled, but the sensors influence the temperature profile and falsify the drying rate due to their finite heat capacity
Solution Approach 1:
The patent uses an optical system (camera, mirrors, light sources) as an intermediary to monitor the freeze-drying process. Instead of direct thermal contact through sensors, the system captures images of the product and uses optical reflection patterns to infer temperature and process state, thereby eliminating the harmful thermal interference that contact sensors cause to the temperature profile and drying rate
Solution Approach 2:
The patent replaces the mechanical/thermal contact measurement system (temperature sensors embedded in product) with an optical non-contact measurement system. The camera-based system uses light reflection and imaging to measure product state without physical contact, substituting the harmful thermal measurement mechanism with an optical one that does not interfere with the freeze-drying process
2Reliability
If the freeze-drying process is run at lower temperatures to maintain safety reserve, then the product temperature remains below the collapse limit, but the drying rate is reduced and the process takes considerably longer
Solution Approach 1:
The patent implements real-time feedback control using the optical imaging system to continuously monitor the product state during freeze-drying. The captured images are analyzed to detect the actual product temperature and collapse risk, and this feedback information is used to dynamically adjust process parameters (temperature, pressure, heating rate). This allows the system to operate closer to the collapse limit with confidence, maximizing drying rate while maintaining product stability through continuous monitoring and adjustment
Solution Approach 2:
The patent transitions from static, pre-determined temperature profiles to dynamic, real-time adaptive control. The freeze-drying process parameters are continuously adjusted based on real-time optical monitoring of the product state. This dynamic approach allows the system to optimize the drying rate at each moment while ensuring the product remains stable, rather than using conservative fixed temperature limits throughout the entire process
3Measurement precision
If miniaturized freeze-drying devices are used for experimental determination of process parameters, then the freeze-drying course can be observed through microscope optics, but the process development is time-consuming and laborious
Solution Approach 1:
The patent makes the optical monitoring system universal by implementing it in the full-scale production freeze-drying device itself rather than requiring separate miniaturized test devices. The same camera-based optical system used for process monitoring can serve both as a development tool and a production control tool, eliminating the need for separate experimental apparatus and accelerating the transfer of process parameters from development to production
Solution Approach 2:
The patent enables the freeze-drying device to self-monitor and self-optimize its process parameters through the integrated optical system. Rather than requiring external experimental determination using separate miniaturized devices, the system uses its own built-in camera and image analysis capabilities to automatically detect process state, determine optimal parameters, and adjust the freeze-drying cycle, making the device self-sufficient for both development and production
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 allows for more efficient freeze-drying at higher temperatures, reducing processing time and increasing productivity while minimizing product impairment risks, by using image-based criteria for process control, thus achieving optimal product quality without prior experimental testing.
Implementation Method 1
images of at least one pharmaceutical solution intended for freeze-drying being able to be recorded by the at least one camera
Implementation Method 2
freeze-drying of pharmaceutical solutions
Implementation Method 3
the camera is arranged in an evacuatable interior of the freeze-drying device
Data Source
AI summary
The invention relates to a device for lyophilizing pharmaceutical solutions in medical hollow bodies on a large scale, comprising a lyophilization device and at least one camera (9), images of at least one pharmaceutical solution to be lyophilized being recorded by the at least one camera (9). The device is characterized in that the images are used to regulate and/or control the lyophilization process.