Yao Yufeng

Automated Chemiluminescence Immunoassay Analyzer

In clinical diagnosis areas, some diseases are confirmed by testing the value of antigen content in human blood, and many automated equipments have been widely used in this areas. In this paper, a fully automated chemiluminescence immunoassay analyzer based on Principle of CLIA was developed, which make use of contact plus sampling technique for dispensing sample and immunomagnetic separation technology to remove excessive fluorescence. Benefiting from the built-in program and a PMT photomultiplier tube, the system can receive the photons automatically and converted to content information of the testing substance. Firstly, the working principle and system construction was introduced in detail. Secondly, the key modules were introduced about their function, mechanism and working process. Finally, experiment results were presented with different dispensing volumes, and the results validated that the analyzer was met the application of clinical testing.

Robotic Liquid Handling System for Microdispensing of Highly Viscous Reagent

A robotic liquid handling system is developed for dispensing highly viscous reagent with nanoliter volumes. The robot in question is of immediate need in protein crystallization research and in electronics packaging field. In this paper, the system structure is introduced which mainly consists of three modules: motion control module, dispense control module and droplet volume measure module. Highly viscous reagent can be dispensed in nanoliter through controlling the dispense control module and the motion control module correctly, and the volume of micro-drop can be measured based on robotic vision technique. The factors that influence the successful delivery of nanoliter volumes of highly viscous reagent are discussed through analysis of the dispensing process. And the two critical values that the dispense height should be kept are derived. Finally, three kinds of reagent with different viscosity are used for dispensing experiments to verify the theoretical results. The accuracy of the system has been shown to be below 7%, and the coefficient of variance (CV) has been shown to be below 10%.