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Desigh And Development Of Control Software For Intelligent Biological Manufacturing System Based On Enzyme Directional Modification

Posted on:2023-03-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y M LuFull Text:PDF
GTID:2530306794998789Subject:Bio-engineering
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Biological experiments in synthetic biology mainly rely on researchers’ manual work,which takes a long time,costs labor and has a certain error rate.If the application of automation technology to biological experiments,can solve the above problems of manual experiments,so the research and construction of intelligent biological manufacturing system is imminent.In this paper,a set of system control software is designed and developed for the intelligent biological manufacturing hardware system of the laboratory based on enzyme directed transformation experiment,which can realize the control of integrated hardware equipment and provide friendly human-computer interaction interface,so as to control and cooperate with hardware equipment to complete unmanned biological experiment.The main work of this paper focuses on the research of system construction,software development,equipment control and automatic realization of enzyme directional modification experiment.The main achievements are as follows:(1)The overall construction of intelligent biological manufacturing platform based on directed evolution was proposed.Firstly,the unit modules that should be in the intelligent biological manufacturing system including colony picker module and incubator module were determined by specifying the experimental process of enzyme directed transformation experiment,including bacterial selection,culture,and inoculation.Secondly,according to the users of the system,the experimental needs of the system,and the requirements of the system construction site,the automatic biological experiment equipment that meets the above comprehensive needs and opens the secondary development authority is investigated,and the unique intelligent biological manufacturing platform of the laboratory is built.(2)Design and develop system control software based on laboratory intelligent biological manufacturing hardware system.Firstly,users and experimental functions of different devices are determined to realize interface design,such as detection method for microplate reader,liquid quantity for high-throughput liquid processing workstation,position coordinates for mechanical arm and rotational speed for centrifuge.Secondly,according to the use requirements of different identities and permissions,software with both management and experimental functions is developed,and the experimental requirements are transformed into software implementation.At the same time,the human-computer interface is optimized,such as drag-and-drop flow design,Office style menu bar and fully functional independent tabs.(3)The object-oriented control method is proposed to achieve separate control and integrated control for biological experimental equipment with different communication protocols and control modes.Combined with enzyme directional transformation experiment,different equipment was designed in the.NET platform and combined with software front-end design.The device control interface design and control instruction addition of manipulator,high-throughput liquid processing workstation,microplate reader,centrifuge and monoclonal selector are realized from the perspectives of managers and operators.(4)The system has been verified by experiments related to directional evolution,and the system software can realize the precise control of the equipment,which greatly improves the experimental efficiency compared with manual experiments.The validation experiments include controlling the clamping and placing actions of the manipulator,controlling the microplate reader to perform single-wavelength endpoint scanning and dynamics experiments,and controlling the high-throughput workstation to perform suspension experiments.In the experiment of high-throughput screening method for PPGMK,the system software was used to control equipment and the efficiency was verified by comparing with manual experiment time in three steps: selection and culture of mutant library,crude enzyme extraction of mutant,and rapid detection of design reaction.As the first study to establish the relationship between plasticizer SF and plasticizer molecular structure,this work provides a basis for subsequent modeling of plasticizer performance and evaluation system.
Keywords/Search Tags:laboratory automation, intelligent biological manufacturing, software development, distributed systems yield
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