1. What is a laboratory automation workstation? A laboratory automation workstation is a system that integrates a variety of automation equipment and technologies, aiming to improve the efficiency, accuracy and repeatability of laboratory work. It automatically performs experimental operations that originally need to be completed manually, such as sample processing, liquid distribution, reaction control, data collection and analysis, etc., thus greatly reducing the labor intensity of scientific researchers and reducing errors caused by human operations. , and improve the consistency and reliability of experiments.

2. Overall design principles of laboratory automation workstation design specifications 1. Demand analysis: Clarify the specific needs of the laboratory, including experimental type, experimental scale, experimental accuracy requirements, budget range, etc., and design the workstation based on this. 2. Function planning: Based on the results of demand analysis, plan the functions that the workstation needs to implement, such as liquid handling, sample distribution, data acquisition, image processing, etc., and consider whether specific instruments, equipment and tools need to be integrated. 3. Safety: The safety of the workstation should be fully considered during the design process, including electrical safety, mechanical safety, chemical safety, etc., to ensure the safety of operators and equipment. 4. Efficiency: The workstation should be designed in an efficient form to complete the maximum workload with minimum energy consumption and improve experimental efficiency. 5. Maintainability: The structural design should be easy to maintain and maintain, taking into account the accessibility, disassembly and repairability of the equipment. 6. Scalability: Considering possible future growth in experimental needs, expansion interfaces and space should be reserved during design to facilitate subsequent upgrades and expansions.

Specific design specifications 1. Structural design (1) Select appropriate frame materials and structural forms to ensure the stability and durability of the workstation. (2) Reasonably arrange the equipment, instruments and tools in the workstation to maximize space utilization and improve work efficiency. (3) Design corresponding brackets and fixtures for storing and fixing tools, instruments and materials. 2. Electrical control system design (1) Select appropriate controllers and sensors, and design corresponding control circuits according to functional planning. (2) Design protection devices and emergency shutdown devices to ensure the safety and reliability of the equipment. (3) Carry out system integration and optimization debugging to improve the production efficiency and operational convenience of the equipment. 3. Human-computer interaction interface design (1) Design a reasonable and easy-to-use human-computer interaction interface, and choose an appropriate operating interface and operation method. (2) Design a user-friendly graphical interface to display equipment status, work progress and related data information. 4. Environmental control (1) According to the experimental needs, design the corresponding environmental control system, such as temperature control, humidity control, cleanliness control, etc. (2) Ensure that the internal environment of the workstation meets the experimental requirements and ensure the accuracy and reliability of the experimental results. 5. Compatibility and standardization (1) Ensure that the workstation is compatible with the laboratory’s existing instruments, equipment and consumables to reduce unnecessary waste and costs. (2) Design in compliance with relevant standards and specifications to ensure the versatility and interchangeability of the workstation. 6. Documentation and training (1) Prepare detailed design documents and operation manuals to provide guidance for subsequent manufacturing, installation, debugging and use. (2) Provide users with necessary training to ensure that they can operate and maintain workstations correctly and safely.

3. Laboratory automation workstation workflow 1. Experiment preparation: Determine the purpose and requirements of the experiment, formulate an experimental plan, and collect and prepare materials, equipment, and reagents required for the experiment. 2. Sample processing: Preprocess, label or extract the samples to be tested for subsequent experimental analysis. 3. Instrument operation settings: Set instrument parameters according to experimental requirements, such as temperature, time, light source, wavelength, etc., and perform instrument calibration and verification. 4. Automated equipment operation: Place the sample into automated equipment, such as automatic pipetting workstations, liquid chromatographs, mass spectrometers, etc., and set the required operating procedures. 5. Data collection and analysis: After the automated equipment performs experimental operations, it collects corresponding data through sensors, detectors, etc., and converts the data into visual results or digital data for analysis and processing. 6. Result recording and report generation: Record the experimental results, including instrument parameters, operating procedures, data results, etc., for subsequent review, analysis, and report writing. 7. Data storage and management: Store, back up and manage experimental data. You can choose to store it on a computer, server or cloud platform for subsequent review and traceability. 8. Cleaning and maintenance: After the experiment, clean and maintain the instruments and equipment used to ensure the normal operation and service life of the equipment.

Through carefully planned design concepts and rigorous workflow implementation, laboratory automation workstations can undoubtedly greatly improve the efficiency, accuracy and repeatability of experiments, creating a more convenient and efficient working environment for scientific researchers. As a result, scientific researchers can focus more on experimental design and data analysis, promoting the rapid development and in-depth exploration of scientific research.