Case demo powerpoint-final
- 1. DCT Case Demonstration Developing a process to stabilize enzyme activity How Effinity Tech enables our clients to achieve their objectives for process development within 10 experiments!
- 2. I. Establish Client Requirements I.1 Define Target Variables and Objectives Objective: To discover the optimal agent to stabilize enzyme activity Target variable: Relative enzyme activity (Y) Current level: 100% Goal: 100% (prevent this enzyme from decaying) Once the objective is defined, we need some basic information for a system from our clients. This is where DCT and our clients’ expertise get “married”.
- 3. Unlike traditional methodologies DCT: Optimizes substances and conditions at a time Optimizes system configurations and parameter values simultaneously Operates on the principle of “open systems” by considering all potentially related parameters to deliver a much wider field of initial parameters which will much more likely reveal the optimum configuration and at a much earlier stage Does not require selection of a subset of parameters in advance I.2 Identify System Parameters Add all potential parameters that are related to the objectives. They could come from: Current Process In this case, 16 parameters were provided by the client. I. Establish Client Requirements Experience Publications Other Sources
- 4. I. 2&3 - Identify and Define Value Ranges for Parameters Code Parameter Name Type of Parameters Present Typical Value Value range X1 Temperature Condition n/a 25-65 X2 Time Condition 0-4 X3 PH Condition 4-12 X4 Potassium Metallic Ions 0-0.1 X5 Cobalt Metallic Ions 0-0.1 X6 Magnesium Metallic Ions 0-0.1 X7 Iron Metallic Ions 0-0.1 X8 Zinc Metallic Ions 0-0.1 X9 Calcium Metallic Ions 0-0.1 X10 Propylene glycol Organic materials 0-5 X11 Carob bean gum Organic Materials 0-5 X12 Sodium Alginate Organic Materials 0-5 X13 Konjac flour Organic Materials 0-5 X14 Tryptone Organic Materials 0-5 X15 Peptone Organic Materials. 0-5 X16 Glycerol Organic Materials 0-5 Table 1. Parameter Information Parameter name is not needed by DCT. This secures our client’s IP. We show it for demonstration purposes only. Type is a broad categorization of the parameter Provide present typical value if data is available. This is not required. In this case, the client did not have any experience with developing this process. DCT can still work without this data. Provide lower and upper bounds for the parameters. Higher bound should ideally be less than 100x lower bound. Range should be “feasible and practical”. For example, don’t use values that will “kill” the cells or microbes. ideally less than 100x Higher bound Lower bound
- 5. II. Design 3-5 Diagnostic Experiments III. Perform Experiments At this stage, Effinity Tech designs 3-5 system diagnostic experiments Client performs experiments and provides results
- 6. II. Design 3-5 Diagnostic Experiments III. Perform Experiments Exp # Y X1 X2 X3 X4 X5 X6 X7 X8 X9 X10 X11 X12 X13 X14 X15 X16 1 83.0 45 2 12 0.05 0.05 0.1 0.1 0 0 2.5 2.5 5 5 0 0 0 2 89.1 25 2 8 0 0 0.05 0.05 0.1 0.1 0 0 2.5 2.5 5 5 5 3 62.4 65 2 4 0.1 0.1 0 0 0.05 0.05 5 5 0 0 2.5 2.5 2.5 Table 2. The design and results of the system diagnostic experiments All parameters are included. Experiment results provided by client DCT’s comprehensive approach guarantees that all parameters are tested in initial diagnostic experiments.
- 7. IV. Analyze Results V. Evaluate Parameter Importance Sensitivity analysis will be conducted by Effinity Tech to evaluate the contribution of each parameter to the objective. Parameters that are important and necessary will remain in the system and their values optimized in further designs. These parameters: X1 X2 X3 X6 X7 X12 X13 make a positive contribution. We will keep them! These parameters: X4 X5 X8 X9 X10 X11 X14 X15 X16 make zero or negative contribution! They’re outta here!
- 8. V. Design 1-3 System Control Experiments III. Perform Experiments Exp # Y X1 X2 X3 X6 X7 X12 X13 4 121.7 25 2 9 0 0.08 4.5 0 5 134.0 25 2 9 0.08 0 0 4.5 Table 3. The design and results of system control experiments (round #1) Experiment results provided by client Both results exceeded the objective!
- 9. IV. Analyze Results V. Evaluate Parameter Importance Further sensitivity analysis was conducted by Effinity Tech to evaluate the remaining parameters showing there is potential to get even better results. Two more parameters were excluded. Now, only 5 parameters were still included in the system and their values further optimized. These parameters: X1 X2 X3 X6 X13 make a positive contribution. We will keep them! These parameters: X7 X12 don’t help! They’re outta here!
- 10. V. Design 1-3 System Control Experiments III. Perform Experiments Exp # Y X1 X2 X3 X6 X13 6 102.4 25 2 10 0.12 4 7 152.1 25 2 9 0.1 6 8 105.5 25 2 11 0.08 5 Table 4. The design and results of system control experiments (round #2)Hooray! We’ve exceeded the objective by 52.1%!
- 11. VII. Project Completion Perform further adjustments and complete the project • To ensure the best results, 2 more experiments were designed but there was no further improvement. • This concluded the project! DCT Really Works!!!
- 12. VII. Project Completion Conclusion: Required only 10 experiments with DCT Increased enzyme activity by 52.1% Quote from Client: DCT greatly improved the level of the target variable, which has important application value. For a complex multi-variable and multi-level system, DCT can significantly reduce the number of experiments and increase efficiency. Moreover, it is very easy to implement.
Editor's Notes
- #9: Based on the results of the diagnostic experiments, Effinity Tech engineers will conduct a sensitivity analysis on every parameter and analyze its contribution to the objectives. Some parameters will be excluded from the system at this point and the value of the remaining parameters will be optimized at the same time. . Effinity Tech will then design a new iteration of experiments with the reduced set of parameters, which we call system control experiments, in order to further optimize the system.In the “1st Round Experiments” section you can see 9 parameters have been excluded and only 7 parameters still remained in this project after the sensitivity analysis. Effinity Tech then designed 2 experiments using these parameters.Analyze the results and further design system behavior experimentsThe analysis revealed that 9 parameters, such as X4 and X8, X9, did not contribute to the production of -PGA. Therefore, they were eliminated in the subsequent experiments. To gain higher enzyme activity, we further adjusted the remaining 7 factors shown in Table 3. Again, the client did the experiments and provided the result, relative enzyme activity (y), to us for analysis. We can see that the enzyme activity has already significantly increased in this group of experiments.
- #10: Even though the client’s original target value had already been achieved, based on our analysis of the results from the first round of system control experiments, our engineers saw the potential to achieve better results and designed the second round of experiments, in which parameters X7 and X12 were excluded. So now, only 5 parameters were used in the dDesign and perform system diagnostic experiments (Table 2). All the 16 parameters are included in each of the 3 experiments. The client performed the experiments and provided results for us to analyze.3. Analyze the results and further design system behavior experiments. (Table 3) Exclude 9 parameters and design 3 more experiments with the remaining 7 parameters for the client to perform. 4. Based on the analysis of results from the client, conducted further design. Reduced the parameters from 7 to 5. (Table 4)5. Further adjustment and completion of the project.
- #12: Design and perform system diagnostic experiments (Table 2). All the 16 parameters are included in each of the 3 experiments. The client performed the experiments and provided results for us to analyze.3. Analyze the results and further design system behavior experiments. (Table 3) Exclude 9 parameters and design 3 more experiments with the remaining 7 parameters for the client to perform. 4. Based on the analysis of results from the client, conducted further design. Reduced the parameters from 7 to 5. (Table 4)5. Further adjustment and completion of the project.