Cell culture method and system

Abstract

The invention discloses a cell culture method and system. The method comprises the following steps: S10. a liquid interface expansion step: expanding one liquid interface of a cell factory into a plurality of liquid expansion interfaces; S20. an inoculation step: injecting a first culture solution containing inoculating cells into the cell factory through the first liquid expansion interface; S30.a first liquid expansion interface closing step: after the first culture solution is injected, closing the first liquid expansion interface and no longer opening the first liquid expansion interface;S40. a culture step; S50. a digestion step: identifying an unused liquid expansion interface and completing liquid exchange of the cell factory through the unused liquid expansion interface. The system includes the cell factory having at least one liquid interface, a liquid interface expansion device, and a liquid exchange device capable of being docked with or separated from the liquid expansioninterface to complete the liquid exchange of the cell factory. The cell culture method and system protect the liquid exchange process of the whole cell culture from being polluted by the outside andguarantee aseptic operations.

Description

technical field [0001] The invention is used in the field of cell culture, and in particular relates to a cell culture method and system. Background technique [0002] At present, data-driven knowledge automation based on big data is the most cutting-edge development direction in the field of automation. It is considered to be the third revolution in the field of automation after mechanical automation and electrical and electronic automation. It is the "human" embedded in automation. It is also the basis for shifting from the automatic control of the physical world to the intelligent management of human society itself. In the industrial automation industry, knowledge automation can obtain knowledge from big data generated in the production process, improve the intelligence of traditional equipment, and break through the problems of traditional industrial equipment's dependence on people, high labor costs, and resistance to the transmission of knowledge and experience. In th...

AI Technical Summary

Problems solved by technology

The whole process requires manual adjustment of various processes, so the quality of the final product is very dependent on the operator, so the stability of the product is affected

[0005] 2) High pollution risk factor

In the process of cell culture, human participation has a great impact on the operating environment. According to experience, the probability of manual operation pollution is 3%-5%, which leads to the interruption of the production process.

[0006] 3) Poor transferability of experience

Each operator’s understanding of cells and operating habits are different, and training can only solve the problem from not knowing how to operate to knowing how to operate, and cannot solve the problem from cultivating ordinary operators to cultivating excellent operators

[0007] 4) The rhythm of production is not uniform

The work efficiency of each operator is different, so the operation time cannot be unified, the rhythm can be fast or slow, and the quality control cannot be maintained at the same level; due to the heavy weight of the cell factory device, manual operation is very difficult, and each person at the operation site can only To operate a cell factory, multiple operators must be equipped to realize the simultaneous operation of multiple cell factories, so the cell quality varies

[0008] 5) High labor costs

[0009] 6) Cell subculture is a manual process, and data management cannot be achieved

[0010] 7) Low production efficiency of cell culture

[0011] 8) The structure of the cell factory is established, and it is easy to be polluted by the outside world during the process of changing the liquid in the cell factory

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