Mobile Integrated Cannabis Analysis Device with Environmental Feedback
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Solution Overview
Problem
Current cannabis analysis processes rely on multiple, immobile, expensive, and complex analytical devices that operate independently, leading to inconsistent and inaccurate results due to lack of integration and limited internet connectivity, making it difficult to ensure precision, accuracy, and data integrity.
Innovation Solution
A mobile integrated chemical analysis system comprising a chemical analysis data server and multiple mobile devices that perform various analyses and communicate data through a network, enabling integrated data processing, multivariate analysis, and real-time reporting, with user interfaces for metadata input and device monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple independent analytical devices are used for chemical analysis, then measurement capability is improved, but device complexity and ease of operation deteriorate
Solution Approach 1:
The patent combines multiple independent analytical devices (GC-PID, GC-MS, HPLC, spectrometers) into a single integrated mobile device with a shared sample analysis chamber. This merging maintains the measurement capabilities of each individual device while reducing overall system complexity by eliminating separate enclosures and control systems for each device.
Solution Approach 2:
The integrated device incorporates multiple analytical modules (gas chromatography, liquid chromatography, mass spectrometry, photoionization detection, spectroscopy) that can all operate through a single sample introduction port. Each module can be selectively activated based on the analysis requirements, providing universal functionality within one device.
2Measurement precision
If multiple independent analytical devices are used, then measurement capability is improved, but ease of operation deteriorates
Solution Approach 1:
By merging multiple analytical devices into one integrated system with unified control software and a single sample chamber, the patent eliminates the need for operators to manually transfer samples between devices and separately operate multiple independent systems, significantly improving ease of operation.
Solution Approach 2:
The integrated device incorporates a controller that coordinates the operation of multiple analytical modules based on real-time feedback from sensors and device monitors, automatically adjusting parameters to optimize analysis while simplifying operator interaction.
3Reliability
If devices operate independently with limited connectivity, then data privacy is maintained, but data integrity and consistency deteriorate
Solution Approach 1:
The patent implements continuous feedback loops where device monitors track operational parameters and the controller adjusts settings in real-time to maintain consistency. Results are immediately recorded and cross-validated by the controller, ensuring data integrity while enabling cloud synchronization for consistency across multiple devices.
Solution Approach 2:
The controller acts as an intermediary between the multiple analytical modules and the external cloud system, standardizing data formats and validation rules to ensure consistent data processing while maintaining secure communication channels for data integrity.
4Measurement precision
If benchtop devices are used, then analysis capability is maintained, but mobility and ease of deployment deteriorate
Solution Approach 1:
The patent transforms the static benchtop device configuration into a dynamic mobile system by integrating all analytical modules into a portable enclosure with battery power and wireless connectivity. The device can be deployed to various locations while maintaining analysis capabilities through environmental sensors that automatically adjust operating parameters.
Solution Approach 2:
The mobile device incorporates environmental sensors that monitor temperature, pressure, and humidity, and the controller automatically adjusts analytical parameters based on these changing conditions to maintain measurement precision despite the mobile deployment environment.
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 system provides accurate, efficient, and integrated chemical analysis of cannabis samples, ensuring data integrity and consistency across devices, with the ability to detect faults and maintain device calibration, resulting in reliable and precise test results.
Implementation Method 1
mobile chemical analysis devices that are remote from the chemical analysis data server... adapted to perform physical analyses of a physical sample (e.g., photo ionization analysis)
Implementation Method 2
gas chromatograph mass spectrometry... Gas chromatography is effective for non-reactive volatile compounds and is the gold standard for detecting and quantifying terpenes and residual solvents
Implementation Method 3
Liquid chromatography is the gold standard for detecting and quantifying the cannabinoid acids directly
Data Source
AI summary
Systems, methods and computer program products for cannabis analysis, such as a system that has a cannabis analysis data server and a plurality of mobile cannabis analysis devices that are communicatively coupled to a network. The mobile devices perform physical analyses of a physical sample and communicate resulting data to the cannabis analysis data server with a unique identifier. The mobile cannabis analysis devices may also monitor device and external environmental conditions that affect the performance and communicate these to the cannabis analysis data server. The cannabis analysis data server performs analyses on the received data from the mobile devices. Based on the sample analyses, the cannabis analysis data server generates sample analysis reports and communicates them to a user. The cannabis analysis data server may also generate data to control the operation of the mobile cannabis analysis devices based on the operation and environmental data received from the devices.