Automation Coleen Robinson, AstraZeneca 2017 Annual Meeting of the - - PowerPoint PPT Presentation

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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


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Engaging Scientists in the Adoption of Automation

Coleen Robinson, AstraZeneca

2017 Annual Meeting of the Dial-a-Molecule Network

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2

Why?

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SLIDE 3
  • Why Automation?
  • What is Effective Automation?
  • Importance of Equipment Evaluation
  • Automation at AZ
  • Range of Approaches
  • Range of Equipment
  • Range of Users.
  • Automation Adoption.

3

Agenda

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Increase productivity Enabling unattended operation Increase throughput Minimising human intervention Produce higher quality data Obtain a greater density data And much more ……….

Why?

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What is Effective Automation.

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Importance of Equipment Evaluation

  • Understand costs vs benefits
  • Resource required
  • Engage end users
  • Support change management
  • Define specific configuration
  • Compare alternatives
  • Use real-case examples
  • Chemistries / processes
  • User groups

6

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Can we automate a process from start to finish on one platform?

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  • To evaluate the possibility to investigate process from start to end
  • Weighing / Work-up / Filtration
  • Use project examples
  • Investigate a number of experimental variables, using a statistically designed

set of experiments

Aim

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2-Ethylaminoethanol DMA 90°C Pd-118, DIPEA, tBuOH, Water

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Fully Automated?

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Conversion (%) Time (hr) 20 40 60 80 100 120

N2

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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

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Would chemists carry out a number of experiments in parallel if it was as easy as carrying out one?

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Do we want to carry out more experiments in parallel or collect more data from each experiment?

Experimental Details and Data

  • To investigate using Automated Lab Reactors

(EasyMax/OptiMax) and associated software to automate part of the process of experimental write up and data capture.

  • LabConnect Trial on AZ project to:
  • Evaluate the ability of scientists to use the EasyMax as a

personal reactor to carry out all chemical operations.

  • To enable effective re-use of experimental details and

data.

  • To work with vendor and other companies to direct and

exploit the development of the software.

  • Engage scientists to help devise a fit for purpose solution.

14

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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

  • r More PAT Probe

Percentage of Work Carried Out in Parallel

Why?

Increase in the number of parallel reactions?

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16

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2006 2017

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2006 2017

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Data/information from each reaction Number of reactions

Specialist Generalist

Screening FED / DoE Scale-Up PAT Crystallisation Flow

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Data/information from each reaction Number of reactions

Specialist Generalist

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Automation Uptake

  • 10

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