In scientific research and laboratory work, the fully automatic pipetting workstation has become an indispensable experimental tool due to its efficient, accurate and repeatable operating characteristics. However, the performance and data accuracy of even the most advanced equipment are not infallible and are affected by a combination of internal and external factors. These factors range from the hardware design of the device itself to subtle changes in the experimental operating environment, each of which may subtly change the accuracy of pipetting results.

Fully automatic pipetting workstation

1. Hardware factors 1. Pipetting tip: The material of the tip, the smoothness of the mold and the production process will directly affect the residual liquid, thereby affecting the accuracy of pipetting. Wear, contamination or improper selection of tips can lead to deviations in the aspirated volume. 2. Pipe system: Residues or blockages in the pipe system will affect the accuracy of liquid transmission. 3. Pump head: The performance of the pump head directly affects the efficiency and accuracy of liquid transfer. 4. Sensor: The accuracy and sensitivity of the sensor determine the workstation's ability to perceive the liquid volume.

2. Software factors 1. Calibration settings: The workstation needs to be calibrated regularly to ensure the accuracy of the pipetting volume. If the calibration is inaccurate or not calibrated regularly, it will cause errors in the pipetting volume. 2. Software version: The software version is too old, incompatible or has bugs, which may also cause startup failure, abnormal operation or data processing errors. 3. Software control logic: The control logic of the software determines how the workstation responds to operating instructions, thereby affecting the accuracy and efficiency of the pipetting process.

3. Environmental factors 1. Temperature: Temperature fluctuations during the pipetting process will affect the volume and viscosity of the liquid, thereby affecting the accuracy of pipetting. 2. Humidity: Too high or too low humidity may affect the performance of the internal components of the workstation, such as the stability of sensors and circuit boards. 3. Air pressure: Changes in air pressure will also affect the volume and transmission efficiency of the liquid. 4. Cleanliness: Dust and pollutants in the air may enter the workstation, affecting the accuracy of the sensor and the life of the components.

4. Operating factors 1. Operating specifications: The operator's negligence or lack of understanding of operating procedures may lead to misoperation, which in turn affects the accuracy of pipetting data. 2. Sample processing: The sample processing process (such as dilution, mixing, etc.) may affect the uniformity and stability of the liquid, thereby affecting the accuracy of pipetting data. 3. Pipetting speed: Pipetting speed that is too fast or too slow may affect the stability and transfer efficiency of the liquid.

5. Reagent Factors The quality and purity of reagents may also affect the accuracy of pipetting and experimental results. For example, using low-quality reagents can lead to increased pipetting errors or inaccurate experimental results.

The data accuracy of a fully automated pipetting workstation is affected by many factors. In order to ensure the accuracy of data, users should regularly inspect and maintain the workstation to ensure the cleaning and calibration of the equipment; at the same time, they should also follow correct operating procedures and pay attention to the control of the experimental environment and the selection and handling of reagents.

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