SlideShare a Scribd company logo
Enhanced Development and Control of
    Continuous Processes using
  Real Time In Situ FTIR Analytics

                          Dom Hebrault, Ph.D.
                        Flow Chemistry Congress
                             April 24th 2012
For further conversation…
For further conversation…
Today’s Agenda

 Continuous Flow Chemistry - Analysis Challenges

 ReactIR™ In Situ IR Spectroscopy

 Case studies:

   -   A Visual, Efficient, Method to Optimize Reaction Conditions: Case study on a Doebner
       Modification

   -   Safer Use and Monitoring of Hazardous Substances: A General, One-Step Synthesis
       of Substituted Indazoles using a Flow Reactor and a FlowIR

   -   Troubleshooting and Improving Product Quality of a Grignard Batch Process in a 6-
       Step Drug Synthesis
Continuous Chemistry - Analysis Challenges

                         Today: Limited availability of convenient,

                         specific, in-line monitoring techniques


 Chemical information
   - Continuous reaction monitoring superior to traditional sampling for offline
     analysis (TLC, LCMS, UV, etc.)

        → Stability of reactive intermediates

        → Rapid optimization procedures

 Technical knowledge
   - Dispersion and diffusion: Side effects of continuous flow – must be
     characterized
In-Line IR Monitoring
 Monitor Chemistry In Situ, Under Reaction Conditions
    -   Non-destructive

    -   Hazardous, air sensitive or unstable reaction species (ozonolysis, azides etc.)

    -   Extremes in temperature or pressure

    -   No interference from bubbles, solid, color,…




   Attenuated Total Reflectance (ATR)
             Spectroscopy
In-Line IR Monitoring
 Real-Time Analysis, “Movie” of the reaction
    -   Track instantaneous concentration changes (trends, endpoint, conversion)

    -   Minimize time delay in receiving analytical results
In-Line IR Monitoring
 Determine Reaction Kinetics, Mechanism and Pathway
   -   Monitor key species as a function of reaction parameters

   -   Track changes in structure and functional groups
In-Line FTIR Micro Flow Cell in the Laboratory

ReactIRTM Flow Cell: An Analytical Accessory

for Continuous Flow Chemical Processing




                                                                      Internal volume: 10 & 50 ml

                                                                      Up to 50 bar (725 psi)

                                                                      -40 → 120 ºC

                                                                      Wetted parts: HC276, Diamond, (Silicon) & Gold

                                                                      Multiplexing

                                                                      Spectral range 600-4000 cm-1



Carter, C. F.; Lange, H.; Ley, S. V.; Baxendale, I. R.; Goode, J. G.; Gaunt, N. L.; Wittkamp, B. Org. Res. Proc. Dev. 2010, 14, 393-404
FlowIR: Flow chemistry and beyond…

FlowIRTM:     A      New   Plug-and-Play
Instrument   for    Flow Chemistry and
Beyond




                                               9-bounce ATR sensor
                                            (SiComp, DiComp) and head




                   Internal volume: 10 & 50 ml

                   Up to 50 bar (725 psi)

                   -40 → 120 ºC
                                                                        Small size, no purge, no
                   Spectral range 600-4000 cm-1                         alignment, no liquid N2
Rapid Analysis of Continuous Reaction Optimization

Optimization of a Doebner Modification of
Knoevenagel Reaction in a Continuous
Mode                                                                                                                            + CO2


     Introduction
                                                                                                      Vapourtec R2+/R4
 Can reaction optimization and conditions
 screening be conducted inline?
 How does dispersion affect fraction
 collection?                                                                                                         FlowIRTM




                                                                       On-the-fly reaction optimization with
                                                                       inline FTIR analytics

               Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Rapid Analysis of Continuous Reaction Optimization

     Results

                                                                                 100°C, 10’
Reference spectra of 4 main components
                                                                                              150°C, 10’             120°C, 20’


3 main/unique bands



                                                Cinnamic acid
                                                  (772cm-1)                                                4.5 h
      Malonic
       Acid
    (1729cm-1)                                                             80°C, 10’    120°C, 10’      100°C, 20’                100°C, 30’
                                           Benzaldehyde
                                             (828cm-1)


                                                                         7 reaction “plugs”, on-the-fly variation of
                                                                         residence time and temperature (1:1.1
                                                                         benzaldehyde/malonic acid ratio)
                                                                         Few hours experiment only

                 Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Rapid Analysis of Continuous Reaction Optimization
   Results
Development of an in-situ real time assay
method
- ReactIR algorithm: iC Quant and iC IR
- Simple univariate model (trans-
    cinnamic acid 772 cm-1 with 2 baseline
    points)
                                                                                                    (0.1-0.5M)


                            Trans-cinnamic acid
                                (772 cm-1)



                                                                      “Proof of concept” univariate model


                                                                      Limited number of datapoints


                                                                      Model used to predict concentration
              Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Rapid Analysis of Continuous Reaction Optimization
      Results                                                                                                                1:2
Development of an in-situ real time assay
method:                                                                                            1:1.2

- Application to the previous screening
- 100°C, 20’ to 30’ represent an optimum
       at (1:1.1 benzaldehyde / malonic acid
       ratio)
 [M]
                                               120°C, 20’
                                                                                                                3.5 h
          100°C, 10’
0.35
                       150°C, 10’
                                                                                      1: 1.1                    1:1.5                   1:2
0.30                                                                                                                                Steady state

0.25

0.20                                                                         Variation of benzaldehyde / malonic acid:
0.15
                                                                             - From 1:1.1 to 1:2 (100°C, 20’)
0.10                                                                         - No significant improvement
                                                                             - Real time FTIR provides confirmation of
       80°C, 10’   120°C, 10’     100°C, 20’                100°C, 30’
                                                                                 steady state and concentrations in the
                                                                                 plug
                        Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Rapid Analysis of Continuous Reaction Optimization
   Conclusions
No issue with CO2 bubble
Faster, more efficient, optimization
Off-line       analysis        requires            accurate
sampling when plugs are short, which can
be difficult



                                                                           How about FlowIR for batch reaction?
                                                                       Use of a recirculation loop, or a syringe
                                                                       pump

                                                                       Preliminary results promising

                                                                       Goal is to cover 95% of standard chemical
                                                                       conditions
                  Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Safer Use and Monitoring of Hazardous Substances
                                                                                                        Vapourtec R2+/R4
A General, One-Step Synthesis of
Substituted Indazoles using a Flow
Reactor and a FlowIR
       Introduction                                                                                                   FlowIRTM

  Time-efficient and safe production of
  small amounts of pharma-relevant
  fragments
  Reduce inventory of hydrazine under
  “forced” conditions in flow mode                                            Real time monitoring of concentrations
                                                                        NH2
                                                                    N
      O2N           CHO                         O2N
                                                                              • indazole
                          +   H2N
                                    NH2
                                                                              • azine
                    F                                               F
                              Hydrazine                 Hydrazone
                                                                              • hydrazone
                                                                              Faster optimization of conditions
O2N                                  NO2       O2N
                                                                              • reagent excess
                   N N
                                           +                        N         • temperature
                                                                N
               F          F
                   Azine (minor)                     Indazole (major)
                                                                              • residence time
Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and
Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Safer Use and Monitoring of Hazardous Substances
   Results
                                                                                                                            Indazole
  Screening (7 experiments in 2.5 h):
  hydrazine excess, temperature, and
  residence time                     1:1.2, 150°C
                                                               15’
                                                                                                                        Intermediate
                                                  1:1, 150°C
                                                      15’
                                       1:1.2, 100°C
                                            15’
                              1:1, 100°C                                                                        Azine

         1:1, 50°C                15’
            15’
                  1:1.2, 50°C
                      15’



   1:1, 25°C                                                              No reaction at 25°C
      15’
                                                                          Hydrazone only at 50°C: 1st step is faster
                                                                          No full conversion of hydrazone even at
                                                                          150°C
                                                                          0.2 eq. excess hydrazine: 4% more
                                                                          indazole
                                  2.5 h
Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and
Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Safer Use and Monitoring of Hazardous Substances
      Introduction
  Is 150°C still too low?
      Temperature more efficient                             than
      increase of residence time
                                                  1:1.2, 200°C
                                                       15’
                             1:1.2, 150°C                        1:1.2
                                  30’                            200°C
    1:1.2, 150°C                                                   5’
         5’




                                                                           Integration of ReactIR software (iC IR)
                                                                           with Flow CommanderTM software
                                                                           Facilitates  automated                        experiment
                                                                           optimization
                                                                           Allows accurate sampling of plugs for
                                                                           fraction collection and analysis

Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and
Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
Real Time Product Quality Control for Flow Processes
Troubleshooting and Improving Product                                                                                            O       OH
Quality of a Grignard Batch Process in a                                                                             AcOH
                                                                                                                            Ar
6-Step Drug Synthesis                                                                                                                Aldol



                                                                          O                         OMgBr                        O
                                                                                    MeMgBr
    Introduction                                                                                                     AcOH
                                                                     Ar       OEt              Ar                            Ar
                                                                                                                              Ketone
Impurity headache                                                                   PhMe/THF
                                                                                    2-Me-THF
                                                                                                             OMgBr               OH
                                                                                               MeMgBr
• <10% aldol during development study                                                                   Ar
                                                                                                                     AcOH
                                                                                                                            Ar

• 40% during 1000 L campaign
                                                                                                                             Alcohol


                                                                       Challenges and Objectives
                                                                       • Flow process
                                                                       • Real time process quality control(*)
                                                                       • Proof of concept on 40 Kg scale
                                                                       • Aldol ≤ 1%
                                                                       • Conversion ≥ 97%
                                                                       (*) Off-line analysis (HPLC) takes 20-40’

    “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
Real Time Product Quality Control for Flow Processes
                                                                                                                                    Toluene
                                                                                                                                   at 730cm-1

 Preliminary results in flow
                                                                        Reference
                                                                         spectra


    • Eq. MeMgBr: 2 → 1.5                                               Ester carbonyl
                                                                                                   2-Methyl-THF
                                                                         at 1752cm-1               at 1383cm-1


    • Eq. NEt3: 6 → 3.5                                                          Ketone carbonyl
                                                                                   at 1721cm-1




    • T°: -10 → 0°C
    • Fast reaction < 20 s                                                             Product                                     Grignard
                                                                          Starting
                                                                                                                                   reagent
                                                                          material

            Aldol: 40% → ≈ 1%

                                                                        Reaction
                                                                        spectra


                                                                                                                  Enolate
                                                                                                             at 1252cm-1
                                                                           No ester
                                                                       starting material

                                                                                      No product
                                                                                       ketone!!




           Alfa Laval ART® Plate Reactors



   “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
Real Time Product Quality Control for Flow Processes

                                                                                                          [Ester]1752cm-1
                                                                                           10%


  Excellent system stability upon flow
     rate changes                                                                                                                 3%
                                                                                                                     1%




                                                                               Conversion measurement ≥ 97% with
    Solvent, 2-Me-THF at 1383cm-1
                                    2-Me-THF      2-Me-THF
2-Me-THF
                                    14 mL/min     1 mL/min      Stop flow
7 mL/min                                                                          qualitative/quantitative peak height(*)

    Starting material, ester at 1752cm-1                                       Conversion measurement ≥ 99%
                                                                                  requires quantitative model

                                                                              (*) results within +10% versus IPC-HPLC


           “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
Real Time Product Quality Control for Flow Processes




                                                                            Toluene, Grignard at 730 cm-1


                                              Starting material, ester at 1752cm-1




                    Solvent, 2-Me-THF at 1383cm-1




Start Grignard     Switch        Increase Grignard    Increase ester flow                     Increase ester, increase Grignard
 reagent and      off ester        to 2 eq., switch     rate, decrease                           increase         to 1.1 eq.
 ester pumps       pump            ester pump on      Grignard to 0.8 eq.                    Grignard to 1 eq.



    “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
Real Time Product Quality Control for Flow Processes

   Scale-up validation - Lab
     • 500 g ketone product
     • 4-5 s residence time
     • 25 mL/min
     • 4-6 h
                                                                            Scale-up validation - KiloLab
                                                                              • 30 kg ketone product
                                                                              • Same residence time
                                                                              • 72 mL/min
                                                                              • 92 h
                                                                              • Project timeline ≤ one week
    “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
Acknowledgements
 Vapourtec Ltd. (U.K.)
    -   Chris Butters, Duncan Guthrie

 Flow Chemistry Solutions (U.K.)
    -   Andrew Mansfield

 AstraZeneca, Sodertalje (Sweden)
    -   Fabrice Odille, Mats Ridemark, Daniel Fahlen

 Mettler Toledo Autochem
    -   Will Kowalchyk (USA), Jon Goode (U.K.)

More Related Content

What's hot

Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
Scale-up Systems
 
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPAEnzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
Anna-Marie Davidson
 
21st International Conference Organic Process Research & Development 2010 San...
21st International Conference Organic Process Research & Development 2010 San...21st International Conference Organic Process Research & Development 2010 San...
21st International Conference Organic Process Research & Development 2010 San...
dominev
 
A Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
A Combined Ozone Remedy for a Mixed VOC DNAPL Source ZoneA Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
A Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
Chapman Ross, P.E.
 
Final PPT
Final PPTFinal PPT
Final PPT
Faria Khan
 
Envantage da vinci_lgi_gcc2011
Envantage da vinci_lgi_gcc2011Envantage da vinci_lgi_gcc2011
Envantage da vinci_lgi_gcc2011
Connie Hellyer
 
Use of DynoChem in Process Development. Wilfried Hoffmann.
Use of DynoChem in Process Development. Wilfried Hoffmann.Use of DynoChem in Process Development. Wilfried Hoffmann.
Use of DynoChem in Process Development. Wilfried Hoffmann.
Scale-up Systems
 
Use of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
Use of Solid Core Chromatography for the Analysis of Pharmaceutical CompoundsUse of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
Use of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
Chromatography & Mass Spectrometry Solutions
 
LC-MS
LC-MSLC-MS
LC-MS
Oskari Aro
 
NYSAS Seminar LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
NYSAS Seminar  LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...NYSAS Seminar  LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
NYSAS Seminar LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
mzhou45
 
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
REY DECASTRO
 
GBI Remediation Presentation
GBI Remediation PresentationGBI Remediation Presentation
GBI Remediation Presentation
Jim Chamness
 
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
nanotech2masses
 
Viscosifying
ViscosifyingViscosifying
Viscosifying
Kumar
 
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
Chromatography & Mass Spectrometry Solutions
 
PattersonEWRI2014 (1)
PattersonEWRI2014 (1)PattersonEWRI2014 (1)
PattersonEWRI2014 (1)
John Maziuk
 
Item 21b bray ii
Item 21b   bray iiItem 21b   bray ii
Item 21b bray ii
Soils FAO-GSP
 
Proposed d ch-e_ pg-BIOCHEMICAL ENGG
Proposed d ch-e_ pg-BIOCHEMICAL ENGGProposed d ch-e_ pg-BIOCHEMICAL ENGG
Proposed d ch-e_ pg-BIOCHEMICAL ENGG
H Janardan Prabhu
 
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
PerkinElmer, Inc.
 
Method for HCL Monitoring by FTIR Analysis
Method for HCL Monitoring by FTIR AnalysisMethod for HCL Monitoring by FTIR Analysis
Method for HCL Monitoring by FTIR Analysis
jimbelanger33
 

What's hot (20)

Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
Dr. Reddy's Development of Kinetic Model and Process Prediction. Keerthi Pemula.
 
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPAEnzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
Enzyme Based Analytical Chemistry - Nitrate and the U.S. EPA
 
21st International Conference Organic Process Research & Development 2010 San...
21st International Conference Organic Process Research & Development 2010 San...21st International Conference Organic Process Research & Development 2010 San...
21st International Conference Organic Process Research & Development 2010 San...
 
A Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
A Combined Ozone Remedy for a Mixed VOC DNAPL Source ZoneA Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
A Combined Ozone Remedy for a Mixed VOC DNAPL Source Zone
 
Final PPT
Final PPTFinal PPT
Final PPT
 
Envantage da vinci_lgi_gcc2011
Envantage da vinci_lgi_gcc2011Envantage da vinci_lgi_gcc2011
Envantage da vinci_lgi_gcc2011
 
Use of DynoChem in Process Development. Wilfried Hoffmann.
Use of DynoChem in Process Development. Wilfried Hoffmann.Use of DynoChem in Process Development. Wilfried Hoffmann.
Use of DynoChem in Process Development. Wilfried Hoffmann.
 
Use of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
Use of Solid Core Chromatography for the Analysis of Pharmaceutical CompoundsUse of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
Use of Solid Core Chromatography for the Analysis of Pharmaceutical Compounds
 
LC-MS
LC-MSLC-MS
LC-MS
 
NYSAS Seminar LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
NYSAS Seminar  LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...NYSAS Seminar  LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
NYSAS Seminar LC-IR To Characterize Polymeric Excipients In Pharmaceutical F...
 
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
The Dependence of Indoor PAH Concentrations on Outdoor PAHs and Traffic Volum...
 
GBI Remediation Presentation
GBI Remediation PresentationGBI Remediation Presentation
GBI Remediation Presentation
 
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
Tsvaygboym, J Phys Chem C 2008 v112 pp 695-700
 
Viscosifying
ViscosifyingViscosifying
Viscosifying
 
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
Determination of Carbohydrates in Various Matrices by Capillary High-Performa...
 
PattersonEWRI2014 (1)
PattersonEWRI2014 (1)PattersonEWRI2014 (1)
PattersonEWRI2014 (1)
 
Item 21b bray ii
Item 21b   bray iiItem 21b   bray ii
Item 21b bray ii
 
Proposed d ch-e_ pg-BIOCHEMICAL ENGG
Proposed d ch-e_ pg-BIOCHEMICAL ENGGProposed d ch-e_ pg-BIOCHEMICAL ENGG
Proposed d ch-e_ pg-BIOCHEMICAL ENGG
 
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
Using THGA and Zeeman Background Correction for Blood-Lead Determination in C...
 
Method for HCL Monitoring by FTIR Analysis
Method for HCL Monitoring by FTIR AnalysisMethod for HCL Monitoring by FTIR Analysis
Method for HCL Monitoring by FTIR Analysis
 

Viewers also liked

Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...
Scale-up Systems
 
DynoChem_webinar_gsk_nickfalco_10sep2014
DynoChem_webinar_gsk_nickfalco_10sep2014DynoChem_webinar_gsk_nickfalco_10sep2014
DynoChem_webinar_gsk_nickfalco_10sep2014
Scale-up Systems
 
Development of a high performance company-specific DynoChem font-end
Development of a high performance company-specific DynoChem font-endDevelopment of a high performance company-specific DynoChem font-end
Development of a high performance company-specific DynoChem font-end
Scale-up Systems
 
Scale-up of Safety Data using Dynochem. Tom Vickery.
Scale-up of Safety Data using Dynochem. Tom Vickery.Scale-up of Safety Data using Dynochem. Tom Vickery.
Scale-up of Safety Data using Dynochem. Tom Vickery.
Scale-up Systems
 
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
Scale-up Systems
 
AiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
AiChE National Meeting 2012 Pittsburgh Presentation Flow ContinuousAiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
AiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
dominev
 
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
Scale-up Systems
 
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
Scale-up Systems
 
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
Scale-up Systems
 
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Scale-up Systems
 
Recent Advances Webinar Part 8
Recent Advances Webinar Part 8Recent Advances Webinar Part 8
Recent Advances Webinar Part 8
dominev
 
Kinetics of SnAr Reaction. Rob Woodward.
Kinetics of SnAr Reaction. Rob Woodward.Kinetics of SnAr Reaction. Rob Woodward.
Kinetics of SnAr Reaction. Rob Woodward.
Scale-up Systems
 
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
jodoua
 
Scale-up and scale-down of chemical processes
Scale-up and scale-down of chemical processesScale-up and scale-down of chemical processes
Scale-up and scale-down of chemical processes
Seppo Karrila
 
Aiche filteration
Aiche filterationAiche filteration
Aiche filteration
James Ward
 
Modeling of Granular Mixing using Markov Chains and the Discrete Element Method
Modeling of Granular Mixing using Markov Chains and the Discrete Element MethodModeling of Granular Mixing using Markov Chains and the Discrete Element Method
Modeling of Granular Mixing using Markov Chains and the Discrete Element Method
jodoua
 
IFPAC 2013 Baltimore
IFPAC 2013 BaltimoreIFPAC 2013 Baltimore
IFPAC 2013 Baltimore
dominev
 
ACS National Meeting Boston 2010
ACS National Meeting Boston 2010ACS National Meeting Boston 2010
ACS National Meeting Boston 2010
dominev
 
AiCHE 2012 Pittsburgh PA
AiCHE 2012 Pittsburgh PAAiCHE 2012 Pittsburgh PA
AiCHE 2012 Pittsburgh PA
dominev
 
ACS National Meeting 2013 New Orleans
ACS National Meeting 2013 New OrleansACS National Meeting 2013 New Orleans
ACS National Meeting 2013 New Orleans
dominev
 

Viewers also liked (20)

Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...Crystallization process improvement driven by dynochem process modeling. Flav...
Crystallization process improvement driven by dynochem process modeling. Flav...
 
DynoChem_webinar_gsk_nickfalco_10sep2014
DynoChem_webinar_gsk_nickfalco_10sep2014DynoChem_webinar_gsk_nickfalco_10sep2014
DynoChem_webinar_gsk_nickfalco_10sep2014
 
Development of a high performance company-specific DynoChem font-end
Development of a high performance company-specific DynoChem font-endDevelopment of a high performance company-specific DynoChem font-end
Development of a high performance company-specific DynoChem font-end
 
Scale-up of Safety Data using Dynochem. Tom Vickery.
Scale-up of Safety Data using Dynochem. Tom Vickery.Scale-up of Safety Data using Dynochem. Tom Vickery.
Scale-up of Safety Data using Dynochem. Tom Vickery.
 
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
Using Dynochem to determine a suitable sampling endpoint in a DoE. David Place.
 
AiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
AiChE National Meeting 2012 Pittsburgh Presentation Flow ContinuousAiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
AiChE National Meeting 2012 Pittsburgh Presentation Flow Continuous
 
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
DynoChem_webinar_Novartis_Flav_Susanne_11Jun2014
 
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
Applications in Kilo Lab Flow Chemistry and Scale-up. Edel Hughes.
 
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
Practical aspects of distillation modeling in DynoChem. Carolyn Cummings.
 
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
Using DynoChem to Inform Experimental Design of Batch Crystallization. Rahn M...
 
Recent Advances Webinar Part 8
Recent Advances Webinar Part 8Recent Advances Webinar Part 8
Recent Advances Webinar Part 8
 
Kinetics of SnAr Reaction. Rob Woodward.
Kinetics of SnAr Reaction. Rob Woodward.Kinetics of SnAr Reaction. Rob Woodward.
Kinetics of SnAr Reaction. Rob Woodward.
 
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
Scale Up Challenges in Chemical Engineering: The Role of Chemical Engineers i...
 
Scale-up and scale-down of chemical processes
Scale-up and scale-down of chemical processesScale-up and scale-down of chemical processes
Scale-up and scale-down of chemical processes
 
Aiche filteration
Aiche filterationAiche filteration
Aiche filteration
 
Modeling of Granular Mixing using Markov Chains and the Discrete Element Method
Modeling of Granular Mixing using Markov Chains and the Discrete Element MethodModeling of Granular Mixing using Markov Chains and the Discrete Element Method
Modeling of Granular Mixing using Markov Chains and the Discrete Element Method
 
IFPAC 2013 Baltimore
IFPAC 2013 BaltimoreIFPAC 2013 Baltimore
IFPAC 2013 Baltimore
 
ACS National Meeting Boston 2010
ACS National Meeting Boston 2010ACS National Meeting Boston 2010
ACS National Meeting Boston 2010
 
AiCHE 2012 Pittsburgh PA
AiCHE 2012 Pittsburgh PAAiCHE 2012 Pittsburgh PA
AiCHE 2012 Pittsburgh PA
 
ACS National Meeting 2013 New Orleans
ACS National Meeting 2013 New OrleansACS National Meeting 2013 New Orleans
ACS National Meeting 2013 New Orleans
 

Similar to Flow Chemistry Congress Boston 2012 Dh V4

ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic ProcessesReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
placed1
 
FTIR For Stack and CEM
FTIR For Stack and CEMFTIR For Stack and CEM
FTIR For Stack and CEM
jimbelanger33
 
Diclofenac rabeprazole hplc
Diclofenac rabeprazole hplcDiclofenac rabeprazole hplc
Diclofenac rabeprazole hplc
Deepak Gadade
 
Increasing the Throughput of UHPLC
Increasing the Throughput of UHPLCIncreasing the Throughput of UHPLC
Increasing the Throughput of UHPLC
Shimadzu Scientific Instruments
 
Cad introduction 2019 30 min
Cad introduction 2019 30 minCad introduction 2019 30 min
Cad introduction 2019 30 min
Oskari Aro
 
Virtual Reaction Service Using Chem Axon Reactor July06
Virtual Reaction Service Using Chem Axon Reactor July06Virtual Reaction Service Using Chem Axon Reactor July06
Virtual Reaction Service Using Chem Axon Reactor July06
DanielSButler
 
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
Brian Bissett
 
Calibration of analytical instruments
Calibration of analytical instrumentsCalibration of analytical instruments
Calibration of analytical instruments
VigneshVicky470
 
1_s2.0_S0255270118302393_main.pdf
1_s2.0_S0255270118302393_main.pdf1_s2.0_S0255270118302393_main.pdf
1_s2.0_S0255270118302393_main.pdf
M. Dekiouk
 
Qualification of instrumets
Qualification of instrumetsQualification of instrumets
Qualification of instrumets
ChowdaryPavani
 
XRF Based Multi-Metals Continuous Water Analyzer
XRF Based Multi-Metals Continuous Water AnalyzerXRF Based Multi-Metals Continuous Water Analyzer
XRF Based Multi-Metals Continuous Water Analyzer
European Tech Serv
 
Viscol 10 series Fully Automatic Kinematic Viscometer
Viscol 10 series Fully Automatic Kinematic Viscometer Viscol 10 series Fully Automatic Kinematic Viscometer
Viscol 10 series Fully Automatic Kinematic Viscometer
OmarSARKAHIAH
 
Design of Mini-fluidic reactor for Extraction
Design of Mini-fluidic reactor for ExtractionDesign of Mini-fluidic reactor for Extraction
Design of Mini-fluidic reactor for Extraction
Kirubanandan Shanmugam
 
Improved Solid State Hydrogen-specific Analyzing Systems
Improved Solid State Hydrogen-specific Analyzing SystemsImproved Solid State Hydrogen-specific Analyzing Systems
Improved Solid State Hydrogen-specific Analyzing Systems
ISA Interchange
 
The role of process analytical technology (pat) in green chemistry and green ...
The role of process analytical technology (pat) in green chemistry and green ...The role of process analytical technology (pat) in green chemistry and green ...
The role of process analytical technology (pat) in green chemistry and green ...
dominev
 
What is the Rate Law for the Crystal Violet Reaction327-43.docx
What is the Rate Law for the Crystal Violet Reaction327-43.docxWhat is the Rate Law for the Crystal Violet Reaction327-43.docx
What is the Rate Law for the Crystal Violet Reaction327-43.docx
alanfhall8953
 
Tongkat Ali Extraction Process
Tongkat Ali Extraction ProcessTongkat Ali Extraction Process
Tongkat Ali Extraction Process
Saiful Irwan Zubairi
 
experiment Cstr 40l
experiment Cstr 40lexperiment Cstr 40l
experiment Cstr 40l
Erra Zulkifli
 
prasanna
prasannaprasanna
prasanna
prasanna kamat
 
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
Chromatography & Mass Spectrometry Solutions
 

Similar to Flow Chemistry Congress Boston 2012 Dh V4 (20)

ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic ProcessesReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
ReactIR as a Diagnostic Tool for Developing Robust, Scalable Synthetic Processes
 
FTIR For Stack and CEM
FTIR For Stack and CEMFTIR For Stack and CEM
FTIR For Stack and CEM
 
Diclofenac rabeprazole hplc
Diclofenac rabeprazole hplcDiclofenac rabeprazole hplc
Diclofenac rabeprazole hplc
 
Increasing the Throughput of UHPLC
Increasing the Throughput of UHPLCIncreasing the Throughput of UHPLC
Increasing the Throughput of UHPLC
 
Cad introduction 2019 30 min
Cad introduction 2019 30 minCad introduction 2019 30 min
Cad introduction 2019 30 min
 
Virtual Reaction Service Using Chem Axon Reactor July06
Virtual Reaction Service Using Chem Axon Reactor July06Virtual Reaction Service Using Chem Axon Reactor July06
Virtual Reaction Service Using Chem Axon Reactor July06
 
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
Development of Pfizer's Third Generation Turbidimetric Solubility Assay - An ...
 
Calibration of analytical instruments
Calibration of analytical instrumentsCalibration of analytical instruments
Calibration of analytical instruments
 
1_s2.0_S0255270118302393_main.pdf
1_s2.0_S0255270118302393_main.pdf1_s2.0_S0255270118302393_main.pdf
1_s2.0_S0255270118302393_main.pdf
 
Qualification of instrumets
Qualification of instrumetsQualification of instrumets
Qualification of instrumets
 
XRF Based Multi-Metals Continuous Water Analyzer
XRF Based Multi-Metals Continuous Water AnalyzerXRF Based Multi-Metals Continuous Water Analyzer
XRF Based Multi-Metals Continuous Water Analyzer
 
Viscol 10 series Fully Automatic Kinematic Viscometer
Viscol 10 series Fully Automatic Kinematic Viscometer Viscol 10 series Fully Automatic Kinematic Viscometer
Viscol 10 series Fully Automatic Kinematic Viscometer
 
Design of Mini-fluidic reactor for Extraction
Design of Mini-fluidic reactor for ExtractionDesign of Mini-fluidic reactor for Extraction
Design of Mini-fluidic reactor for Extraction
 
Improved Solid State Hydrogen-specific Analyzing Systems
Improved Solid State Hydrogen-specific Analyzing SystemsImproved Solid State Hydrogen-specific Analyzing Systems
Improved Solid State Hydrogen-specific Analyzing Systems
 
The role of process analytical technology (pat) in green chemistry and green ...
The role of process analytical technology (pat) in green chemistry and green ...The role of process analytical technology (pat) in green chemistry and green ...
The role of process analytical technology (pat) in green chemistry and green ...
 
What is the Rate Law for the Crystal Violet Reaction327-43.docx
What is the Rate Law for the Crystal Violet Reaction327-43.docxWhat is the Rate Law for the Crystal Violet Reaction327-43.docx
What is the Rate Law for the Crystal Violet Reaction327-43.docx
 
Tongkat Ali Extraction Process
Tongkat Ali Extraction ProcessTongkat Ali Extraction Process
Tongkat Ali Extraction Process
 
experiment Cstr 40l
experiment Cstr 40lexperiment Cstr 40l
experiment Cstr 40l
 
prasanna
prasannaprasanna
prasanna
 
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
Expanding Your High Performance Liquid Chromatography and Ultra High Performa...
 

Flow Chemistry Congress Boston 2012 Dh V4

  • 1. Enhanced Development and Control of Continuous Processes using Real Time In Situ FTIR Analytics Dom Hebrault, Ph.D. Flow Chemistry Congress April 24th 2012
  • 4. Today’s Agenda  Continuous Flow Chemistry - Analysis Challenges  ReactIR™ In Situ IR Spectroscopy  Case studies: - A Visual, Efficient, Method to Optimize Reaction Conditions: Case study on a Doebner Modification - Safer Use and Monitoring of Hazardous Substances: A General, One-Step Synthesis of Substituted Indazoles using a Flow Reactor and a FlowIR - Troubleshooting and Improving Product Quality of a Grignard Batch Process in a 6- Step Drug Synthesis
  • 5. Continuous Chemistry - Analysis Challenges Today: Limited availability of convenient, specific, in-line monitoring techniques  Chemical information - Continuous reaction monitoring superior to traditional sampling for offline analysis (TLC, LCMS, UV, etc.) → Stability of reactive intermediates → Rapid optimization procedures  Technical knowledge - Dispersion and diffusion: Side effects of continuous flow – must be characterized
  • 6. In-Line IR Monitoring  Monitor Chemistry In Situ, Under Reaction Conditions - Non-destructive - Hazardous, air sensitive or unstable reaction species (ozonolysis, azides etc.) - Extremes in temperature or pressure - No interference from bubbles, solid, color,… Attenuated Total Reflectance (ATR) Spectroscopy
  • 7. In-Line IR Monitoring  Real-Time Analysis, “Movie” of the reaction - Track instantaneous concentration changes (trends, endpoint, conversion) - Minimize time delay in receiving analytical results
  • 8. In-Line IR Monitoring  Determine Reaction Kinetics, Mechanism and Pathway - Monitor key species as a function of reaction parameters - Track changes in structure and functional groups
  • 9. In-Line FTIR Micro Flow Cell in the Laboratory ReactIRTM Flow Cell: An Analytical Accessory for Continuous Flow Chemical Processing Internal volume: 10 & 50 ml Up to 50 bar (725 psi) -40 → 120 ºC Wetted parts: HC276, Diamond, (Silicon) & Gold Multiplexing Spectral range 600-4000 cm-1 Carter, C. F.; Lange, H.; Ley, S. V.; Baxendale, I. R.; Goode, J. G.; Gaunt, N. L.; Wittkamp, B. Org. Res. Proc. Dev. 2010, 14, 393-404
  • 10. FlowIR: Flow chemistry and beyond… FlowIRTM: A New Plug-and-Play Instrument for Flow Chemistry and Beyond 9-bounce ATR sensor (SiComp, DiComp) and head Internal volume: 10 & 50 ml Up to 50 bar (725 psi) -40 → 120 ºC Small size, no purge, no Spectral range 600-4000 cm-1 alignment, no liquid N2
  • 11. Rapid Analysis of Continuous Reaction Optimization Optimization of a Doebner Modification of Knoevenagel Reaction in a Continuous Mode + CO2  Introduction Vapourtec R2+/R4 Can reaction optimization and conditions screening be conducted inline? How does dispersion affect fraction collection? FlowIRTM On-the-fly reaction optimization with inline FTIR analytics Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 12. Rapid Analysis of Continuous Reaction Optimization  Results 100°C, 10’ Reference spectra of 4 main components 150°C, 10’ 120°C, 20’ 3 main/unique bands Cinnamic acid (772cm-1) 4.5 h Malonic Acid (1729cm-1) 80°C, 10’ 120°C, 10’ 100°C, 20’ 100°C, 30’ Benzaldehyde (828cm-1) 7 reaction “plugs”, on-the-fly variation of residence time and temperature (1:1.1 benzaldehyde/malonic acid ratio) Few hours experiment only Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 13. Rapid Analysis of Continuous Reaction Optimization  Results Development of an in-situ real time assay method - ReactIR algorithm: iC Quant and iC IR - Simple univariate model (trans- cinnamic acid 772 cm-1 with 2 baseline points) (0.1-0.5M) Trans-cinnamic acid (772 cm-1) “Proof of concept” univariate model Limited number of datapoints Model used to predict concentration Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 14. Rapid Analysis of Continuous Reaction Optimization  Results 1:2 Development of an in-situ real time assay method: 1:1.2 - Application to the previous screening - 100°C, 20’ to 30’ represent an optimum at (1:1.1 benzaldehyde / malonic acid ratio) [M] 120°C, 20’ 3.5 h 100°C, 10’ 0.35 150°C, 10’ 1: 1.1 1:1.5 1:2 0.30 Steady state 0.25 0.20 Variation of benzaldehyde / malonic acid: 0.15 - From 1:1.1 to 1:2 (100°C, 20’) 0.10 - No significant improvement - Real time FTIR provides confirmation of 80°C, 10’ 120°C, 10’ 100°C, 20’ 100°C, 30’ steady state and concentrations in the plug Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 15. Rapid Analysis of Continuous Reaction Optimization  Conclusions No issue with CO2 bubble Faster, more efficient, optimization Off-line analysis requires accurate sampling when plugs are short, which can be difficult  How about FlowIR for batch reaction? Use of a recirculation loop, or a syringe pump Preliminary results promising Goal is to cover 95% of standard chemical conditions Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 16. Safer Use and Monitoring of Hazardous Substances Vapourtec R2+/R4 A General, One-Step Synthesis of Substituted Indazoles using a Flow Reactor and a FlowIR  Introduction FlowIRTM Time-efficient and safe production of small amounts of pharma-relevant fragments Reduce inventory of hydrazine under “forced” conditions in flow mode Real time monitoring of concentrations NH2 N O2N CHO O2N • indazole + H2N NH2 • azine F F Hydrazine Hydrazone • hydrazone Faster optimization of conditions O2N NO2 O2N • reagent excess N N + N • temperature N F F Azine (minor) Indazole (major) • residence time Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 17. Safer Use and Monitoring of Hazardous Substances  Results Indazole Screening (7 experiments in 2.5 h): hydrazine excess, temperature, and residence time 1:1.2, 150°C 15’ Intermediate 1:1, 150°C 15’ 1:1.2, 100°C 15’ 1:1, 100°C Azine 1:1, 50°C 15’ 15’ 1:1.2, 50°C 15’ 1:1, 25°C No reaction at 25°C 15’ Hydrazone only at 50°C: 1st step is faster No full conversion of hydrazone even at 150°C 0.2 eq. excess hydrazine: 4% more indazole 2.5 h Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 18. Safer Use and Monitoring of Hazardous Substances  Introduction Is 150°C still too low? Temperature more efficient than increase of residence time 1:1.2, 200°C 15’ 1:1.2, 150°C 1:1.2 30’ 200°C 1:1.2, 150°C 5’ 5’ Integration of ReactIR software (iC IR) with Flow CommanderTM software Facilitates automated experiment optimization Allows accurate sampling of plugs for fraction collection and analysis Rob C. Wheeler, Emma Baxter, Ian B. Campbell, and Simon J. F. Macdonald GlaxoSmithKline, Stevenage, U.K.; Organic Process Research and Development, 2011, 15 (3), 565–569; Vapourtec – Flow Chemistry Solutions – Mettler Toledo collaboration project, U.K. 2011, White Paper
  • 19. Real Time Product Quality Control for Flow Processes Troubleshooting and Improving Product O OH Quality of a Grignard Batch Process in a AcOH Ar 6-Step Drug Synthesis Aldol  O OMgBr O MeMgBr Introduction AcOH Ar OEt Ar Ar Ketone Impurity headache PhMe/THF 2-Me-THF OMgBr OH MeMgBr • <10% aldol during development study Ar AcOH Ar • 40% during 1000 L campaign Alcohol Challenges and Objectives • Flow process • Real time process quality control(*) • Proof of concept on 40 Kg scale • Aldol ≤ 1% • Conversion ≥ 97% (*) Off-line analysis (HPLC) takes 20-40’ “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
  • 20. Real Time Product Quality Control for Flow Processes Toluene at 730cm-1  Preliminary results in flow Reference spectra • Eq. MeMgBr: 2 → 1.5 Ester carbonyl 2-Methyl-THF at 1752cm-1 at 1383cm-1 • Eq. NEt3: 6 → 3.5 Ketone carbonyl at 1721cm-1 • T°: -10 → 0°C • Fast reaction < 20 s Product Grignard Starting reagent material Aldol: 40% → ≈ 1% Reaction spectra Enolate at 1252cm-1 No ester starting material No product ketone!! Alfa Laval ART® Plate Reactors “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
  • 21. Real Time Product Quality Control for Flow Processes [Ester]1752cm-1 10%  Excellent system stability upon flow rate changes 3% 1%  Conversion measurement ≥ 97% with Solvent, 2-Me-THF at 1383cm-1 2-Me-THF 2-Me-THF 2-Me-THF 14 mL/min 1 mL/min Stop flow 7 mL/min qualitative/quantitative peak height(*) Starting material, ester at 1752cm-1  Conversion measurement ≥ 99% requires quantitative model (*) results within +10% versus IPC-HPLC “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
  • 22. Real Time Product Quality Control for Flow Processes Toluene, Grignard at 730 cm-1 Starting material, ester at 1752cm-1 Solvent, 2-Me-THF at 1383cm-1 Start Grignard Switch Increase Grignard Increase ester flow Increase ester, increase Grignard reagent and off ester to 2 eq., switch rate, decrease increase to 1.1 eq. ester pumps pump ester pump on Grignard to 0.8 eq. Grignard to 1 eq. “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
  • 23. Real Time Product Quality Control for Flow Processes  Scale-up validation - Lab • 500 g ketone product • 4-5 s residence time • 25 mL/min • 4-6 h  Scale-up validation - KiloLab • 30 kg ketone product • Same residence time • 72 mL/min • 92 h • Project timeline ≤ one week “Leaving the Tap Open…”, Fabrice Odille, AstraZeneca, Continuous Flow Technology in Industry, RSC, York, UK, March 19-21 2012
  • 24. Acknowledgements  Vapourtec Ltd. (U.K.) - Chris Butters, Duncan Guthrie  Flow Chemistry Solutions (U.K.) - Andrew Mansfield  AstraZeneca, Sodertalje (Sweden) - Fabrice Odille, Mats Ridemark, Daniel Fahlen  Mettler Toledo Autochem - Will Kowalchyk (USA), Jon Goode (U.K.)