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[Application of cell culture techniques in cultured meat-a review].

Authors: Guoqiang, Zhang; Xinrui, Zhao; Xueliang, Li; Xiulan, Sun; Jingwen, Zhou; Guocheng, Du; Jian, Chen;

[Application of cell culture techniques in cultured meat-a review].

Abstract

As one of the top 10 breakthrough and emerging technologies in the world in 2018, cultured meat has attracted extensive attention due to its advantages of traceable origin, food safety and green sustainable development. Europe and the United States have invested a lot of resources to focus on research about cultured meat, which will affect our domestic meat and food market in the future. At present, the challenge of cultured meat production is how to efficiently simulate the growth environment of animal muscle tissue and realize large-scale production in bioreactor. Although cell tissue engineering has been deeply studied and achieved varying successful application, it is still difficult to obtain large-scale cultured meat production due to the high cost and technical requirements. Therefore, the development of efficient and safe cell culture technology is an urgent problem for large-scale cultured meat production, which can effectively reduce costs and achieve industrial application. In this review, we summarize the research progress of animal cell tissue culture technology used for cultured meat, and highlighted the current challenges and possible strategies in further applications.

Related Organizations
Keywords

Bioreactors, Meat, Tissue Engineering, Cell Culture Techniques, Animals, United States

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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