Biological Sample Analysis System Barcode Tracking
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Solution Overview
Problem
Conventional biological sample analysis systems face challenges in managing and linking sample information with analysis results, particularly in cell culture applications where temporal variations in metabolite amounts affect analysis results, and existing systems do not effectively handle the evaluation of differentiation states based on seeding date and time information.
Innovation Solution
A biological sample automatic analysis system with a preprocessing device and an analysis device, featuring a sample information acquisition unit, identifier management, and storage processing unit to associate sample information with analysis results, enabling accurate tracking and display of sample information and analysis results for each sample container.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sample information is manually managed and linked with analysis results, then analytical traceability can be maintained, but the complexity of managing multiple sample containers and their corresponding data increases significantly
Solution Approach 1:
The system enables automatic self-linking of sample information and analysis results through barcode/QR code recognition. The sample container identifier is automatically captured by the preprocessing device and linked with analysis results from the analysis device without manual intervention, achieving self-service data management that maintains traceability while reducing operational complexity
Solution Approach 2:
The manual mechanical process of tracking and linking sample data is replaced with an automated information system using barcode/QR code recognition and database management. This substitution eliminates manual data entry and tracking, reducing human error and system complexity while maintaining reliable analytical traceability
2Productivity
If a large number of sample containers are placed in both preprocessing device and auto-sampler, then batch analysis efficiency is improved, but the difficulty of tracking and managing sample container identifiers increases
Solution Approach 1:
The system implements automatic feedback loops where the preprocessing device reads sample container identifiers via barcode/QR code, stores them in a database, and provides real-time status information. The analysis device then retrieves and links results to the correct samples automatically, creating a closed-loop feedback system that manages large numbers of containers efficiently without increasing tracking difficulty
Solution Approach 2:
A database management system acts as an intermediary between the preprocessing device and analysis device. This intermediary automatically stores, retrieves, and links sample container identifiers with analysis results, eliminating the need for manual tracking while enabling efficient batch processing of large numbers of samples
3Measurement precision
If conventional methods are used to evaluate cell differentiation state, then differentiation assessment can be performed, but the cells cannot be reused for regenerative medicine purposes due to invasive treatment
Solution Approach 1:
The system extracts and analyzes metabolites from the culture medium supernatant rather than directly treating the cells. By taking out the metabolites for analysis using LC-MS or GC-MS, the cells remain undisturbed and can be reused for regenerative medicine purposes while still achieving precise differentiation state evaluation through metabolite profiling
Data Source
AI summary
A display control unit (52) displays a screen for setting sample information on a display unit (8) for each sample placed in a sample placement section (20), and an input processing unit (53) receives information such as a culture name and seeding date and time information input by an operator via an operation unit (7), and stores the information in a storage unit (55). This file is transferred to a data processing unit (4) and stored in a sample information storage unit (40). After analyzing the respective samples in an LC-MS (3), a quantitative analysis unit (42) performs a quantitative analysis based on the obtained data, associates the analysis result with the sample information, and stores the data in an analysis result storage unit (43). As a result, the sample information and the analysis result of the respective samples in the preprocessing stage are associated with each other. Result display processing unit (44) arranges sample information and an analysis result for one sample on the same screen and displays them on display unit (8). With this display, an operator can easily and accurately grasp the correspondence relationship between the sample information and the analysis result of a plurality of sample to be subjected to preprocessing.