Serialization and Data Management of Bioreactors through Digitization: Bioprocessing 4.0 a Systematic Review Academic Article in Scopus uri icon

abstract

  • Industry 4.0 has revolutionized the way companies manufacture; however, the bioprocessing industry has struggled due to the nature of the bioreactors design, and the particularities of each bio culture's features. Bioprocessing offers a sustainable and safe way to produce bio compounds for the food, cosmetic and pharmaceutical industries, thus optimizing and enhancing the control methods for bioreactors is crucial for enabling their serialization at a large scale. The compatibility between the different hardware and software of each bioreactor infrastructure during the scaling up process is difficult to achieve, due to a lack of consensus or standards for data management and software integration. Digitization, novel sensors, data management systems and algorithms used in other mature manufacturing processes, have been recently used in bioprocesses which have proved to be crucial for accelerating their development state into large scale productions. Examples of such technologies include the use of Digital Twins and Neural Networks, that adapt to the parameters of each individual process and facilitate the automatic control of processes. Therefore, this review aims to consolidate the state of the art and the next steps available through a systematic analysis of the digitization and integration of different bioreactor technologies for better monitored, controlled, and optimized bioprocesses. © 2023 PICMET Portland International Center for Management of Engineering and Technology(.

publication date

  • January 1, 2023