Engaging Scientists in the Adoption of Automation
Coleen Robinson, AstraZeneca
2017 Annual Meeting of the Dial-a-Molecule Network
Automation Coleen Robinson, AstraZeneca 2017 Annual Meeting of the - - PowerPoint PPT Presentation
Engaging Scientists in the Adoption of Automation Coleen Robinson, AstraZeneca 2017 Annual Meeting of the Dial-a-Molecule Network Why? 2 Agenda Why Automation? What is Effective Automation? Importance of Equipment Evaluation
Engaging Scientists in the Adoption of Automation
Coleen Robinson, AstraZeneca
2017 Annual Meeting of the Dial-a-Molecule Network
2
3
Agenda
4
Increase productivity Enabling unattended operation Increase throughput Minimising human intervention Produce higher quality data Obtain a greater density data And much more ……….
5
What is Effective Automation.
Importance of Equipment Evaluation
6
Can we automate a process from start to finish on one platform?
7
set of experiments
Aim
8
2-Ethylaminoethanol DMA 90°C Pd-118, DIPEA, tBuOH, Water
Fully Automated?
9
Conversion (%) Time (hr) 20 40 60 80 100 120
N2
10
Planning and Design
Statistical or Kinetic
Reaction Preparation
Solid Handling
Liquid Addition and Reaction Analysis
HPLC GC UPLC
Interpretation
Analytical data
Data Handling Conclusions Reporting
11
Would chemists carry out a number of experiments in parallel if it was as easy as carrying out one?
12
13
Do we want to carry out more experiments in parallel or collect more data from each experiment?
Experimental Details and Data
(EasyMax/OptiMax) and associated software to automate part of the process of experimental write up and data capture.
personal reactor to carry out all chemical operations.
data.
exploit the development of the software.
14
15
2 4 6 8 10 12 14 16 18 Number of Automated Steps Per Experiment Number of data sources recorded from each Experiment Percentage of Equipment Faults Pre-Trial Oct-14 Feb-15 10 20 30 40 50 60 70 80 90 100 Percentage Use of Mettler Equipment Percentage of Reactions With One
Percentage of Work Carried Out in Parallel
Why?
Increase in the number of parallel reactions?
16
17
18
19
Data/information from each reaction Number of reactions
Screening FED / DoE Scale-Up PAT Crystallisation Flow
20
Data/information from each reaction Number of reactions
21
Automation Uptake
10 30 50 70 90 110 130 150
screens
Asymmetric H2 TM- catalysis
20 40 60 80 100 120 140 160 180
SK233 Amigo
Why?
50 100 150 200 250 300 350
May – Nov 2016