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THE IMPACT OF MICROANALYTICAL INSTRUMENTATION ON PAT APPLICATIONS

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Title: THE IMPACT OF MICROANALYTICAL INSTRUMENTATION ON PAT APPLICATIONS


1
THE IMPACT OF MICRO-ANALYTICAL INSTRUMENTATION
ON PAT APPLICATIONS
M Koch
Center for Process Analytical Chemistry (CPAC)
University of Washington
2
PAT What is it?
  • Applications of
  • Process analytical chemistry tools
  • Process control strategies
  • Information management tools
  • Data analysis tools
  • GOAL - PROCESS UNDERSTANDING

3
ITS ORIGIN IS IN TRADITIONAL ANALYTICAL SCIENCES
  • SPECTROSCOPY
  • CHROMATOGRAPHY
  • ELEMENTAL ANALYSIS
  • MICROSCOPY
  • THERMAL
  • POLYMER CHARACTERIZATION
  • MADE PORTABLE FOR PROCESS ANALYSIS (real time
    analysis)

4
Real-time Data Acquisition . . .
  • . . . has provided researchers with a video of
    a process.
  • Deliverables
  • Composition
  • Reaction Pathways Kinetics
  • Emission Monitoring
  • Hazard Evaluation Issues
  • On-line Feasibility Studies
  • PROCESS UNDERSTANDING

Courtesy Dow Chemical
5
What's Appropriate for PAT?
  • Anything ...
  • That makes a measurement that cant presently be
    made...
  • Thats cheaper and more reliable
  • Where more (measurement points) results in better
    control...
  • Depart from traditional analytical sciences
    techniques if appropriate

6
Tasks for Instrument Developers
  • Create fully integrated analyzer systems
  • Develop measurement approaches that are
  • more information rich (inferential)
  • Revisit underutilized techniques
  • (e.g.. optical coherence, Raman, dielectrometry,
    surface plasmon resonance)

7
Relevance ofOptical Low Coherence Reflectometry
(OLCR)

Lloyd Burgess, UW Chemistry Dept
8
Optical Low Coherence Reflectometry
  • Profile Depends On
  • Sample Thickness
  • Particle Size
  • Particle Concentration
  • Particle Shape
  • Morphological Domains
  • Change in RI
  • Probe Geometry
  • Source Coherence Length
  • Used to Monitor
  • Coke deposition on spent catalyst
  • Coating thickness
  • Membrane micropore analysis
  • Attrition milling processes
  • Polymer thickness in drug delivery patches
  • Paint curing times
  • E. coli and yeast at high concentrations

9
Multiple Layer Polymer Materials
Scattering materials
Drug delivery patch
Distance in micrometers
Distance in micrometers
10
Measurement of particle size and concentration
Polystyrene microspheres in deionized water
19nm 90nm 1
0.25 - 10 308nm
log10 ( I / I o)
log10 ( r R3)
11
Evaluating Raman Spectroscopy for Process
Monitoring and Materials Characterization
  • Brian J. Marquardt
  • Dave Veltkamp, and Brian Dable
  • Center for Process Analytical Chemistry
  • University of Washington

12
Advantages of Raman Spectroscopy
  • Little or no sample preparation is required
  • Water is a weak scatterer - no special
    accessories are needed for measuring
  • aqueous solutions
  • Fiber optics (up to 100's of meters in length)
    can be used for remote analyses
  • Raman bands can be easily related to
  • chemical structure (very good for
    fingerprinting)
  • Ideal for both organic and inorganic species

Brian Marquardt UW CPAC
13
Raman Sampling Applications
14
Parameter Detection with Fringing Electric Field
Dielectrometry Sensors
  • Alexander Mamishev, UW Electrical Engineering

15
Sensing Possibilities
  • Fringing electric fields can detect various
    characteristics of a sample.

16
  • Experimental Results
  • Paper Pulp
  • Pharmaceutical Products
  • Food Products
  • Composite Materials
  • Plastics

17
APPLICATIONS OF SURFACE PLASMON RESONANCE SENSORS

Electrical Engineering Department, Departments
of Genetics and Medicine, University of
Washington
18
Target Applications for Real-Time Biosensors
  • High throughput drug screening
  • Automated protein purification
  • Detection of toxins, pesticides, and food poisons
  • Bioagent identification

19
Protein purification system
Pump 1
Column 1
Column 2
Pump 2
Filter 1
Sensor 1
Fermentor
Sensor 2
Pump 3
Filter 2
Product Out
Waste
Pump 4
20
Sensors in Bioprocess Control Harry
Lam Department of Manufacturing
Sciences Genentech, Inc
Genentech, Inc.
21
The Need for BioProcess Control
  • To maintain consistent process performance
    (productivity, quality) throughout the
    development cycle (RD to Manufacturing).

Genentech, Inc.
22
Sensors for Bioprocess Control
  • Measurements for process or system analysis
  • Search for underlying functional relationships
  • In depth analysis of the interaction of the
    organisms with their environment
  • Provide capabilities for process control
  • Setting up and maintaining the optimum
    environmental conditions for growth and/or
    formation of product

Genentech, Inc.
23
Measurements
  • Biological
  • Chemical
  • Physical

Genentech, Inc.
24
Biological Measurements
  • Cell Density
  • Cell Viability
  • Cell Size
  • Morphology
  • Cellular assays
  • Molecular/Genetic Assays

Genentech, Inc.
25
Chemical Measurements
  • Media
  • Carbohydrates - e.g. glucose, galactose
  • Complex medium protein hydrolysates, yeast
    extracts, etc.
  • Amino acids
  • Salts
  • Lipids - Linoleic Acid
  • Hormones, growth factors (serum, insulin)
  • Vitamins
  • Trace elements - e.g. metals (Fe, Mn, etc.)
  • Antifoam
  • F-68
  • Antibiotics
  • Methotrexate

Genentech, Inc.
26
Chemical Measurements (cont.)
  • Product
  • Concentration
  • Quality
  • By-products
  • Organic acids acetate, lactate, etc
  • Proteins
  • Ammonia
  • Chemical environment
  • pH
  • Dissolved O2, CO2 (pO2, pCO2)
  • Osmolality
  • Off-gas
  • O2 (OUR)
  • CO2 (CER)

Genentech, Inc.
27
Physical Measurements
  • Temperature
  • Agitation
  • Pressure
  • Level (volume)
  • Weight
  • Broth density
  • Viscosity

Genentech, Inc.
28
What can be routinely measured on-line today in
cell culture systems?
  • Cell density (OD)
  • Temperature
  • Agitation
  • Pressure
  • Culture Volume
  • pH
  • Dissolved O2
  • Off-gas composition

29
Requirements for Process Sensors
  • Fully cleanable and sterilizable
  • Long-term stability and accuracy
  • Fast response
  • No flow dependence
  • No interference
  • Air bubbles (O2 and CO2) or by microbes
  • Complex media
  • No fouling
  • Low maintenance
  • Small size

Genentech, Inc.
30
REVOLUTIONARY ADVANCES THAT ARE AFFECTING
CHEMICAL MEASUREMENTS
  • MINIATURIZATION
  • ENGINEERED MATERIALS
  • ELECTRO-OPTICS
  • MEASUREMENT INFORMATION PROCESSING

31
CPAC is a Consortium of Industrial Sponsors,
National Laboratories and Government Agencies
? Established in 1984, the Objective of the
Center is to Address Challenges in Real-Time
Analysis and Process Control
? Provides a Forum for Multidisciplinary
Participation in Process Analytical Technology
32
Multidisciplinary
? Chemistry ? Chemical Engineering ? Electrical
Engineering ? Bioengineering ? Forestry ?
Mechanical Engineering ? Food Science
Engineering ? Health Sciences
Presently supporting 20 projects at 5 Universities
33
CPAC INITIATIVES
  • OPEN
  • NEW SAMPLING AND SENSOR INITIATIVE (NeSSI)
  • CHEMOMETRICS ON-LINE INITIATIVE (COPA))
  • CLOSED
  • MICRO-INSTRUMENTATION FOR HIGH THROUGHPUT
    EXPERIMENTATION PLATFORM
  • FERMENTATION MONITORING AND CONTROL PLATFORM
    (FermI)

34
Improving Process Optimization using
Miniaturization Technology
  • MICRO-INSTRUMENTATION AND MICRO-REACTORS

35
SOME RELEVANT CPAC RESEARCH EFFORTS IN
MINI-INSTRUMENTATION
  • MICRO-LC
  • SURFACE TENSION DETECTION
  • GCxGC
  • FRINGE FIELD SENSORS
  • VAPOCHROMIC SENSORS
  • RAMAN
  • GRATED LIGHT REFLECTIVE SPECTROSCOPY
  • REFLECTOMETRY
  • FLOW-THROUGH PARTICLE ANALYZER
  • SURFACE PLASMON RESONANCE
  • MINI-MASS SPECTROMETER
  • MINI-NMR
  • ULTRASOUND

36
Process Liquid Chromatography and
Microfabricated Liquid Analyzers
Colin D. Costin, Adam D. McBrady, Ana K.
Torgerson, Robert E. Synovec Department of
Chemistry, University of Washington Collaboratin
g Personnel Dr. Milton E. McDonnell
(Honeywell)
37
?-Refractive Index Gradient(?-RIG) Detection
Mechanism
Mobile Phase Inlet
Sample Inlet
Position Sensitive Detector
?
Deflected Beam Is Measured

Laser Beam
To Outlet
38
Application as a Micro-scale Molecular Mass
Sensor (?-MMS)
Outlet
39
m-MMS, Measuring m-RIG Signal at Two
PositionsReal-Time, Dual-Beam Detection
Configuration
40
Typical Molecular Mass Calibration for Linear PEGs
41
Process Monitoring with the ?-MMSCan readily
monitor peptide or protein synthesis
  • Amino Acid and Peptide solutions for monitoring
    protein synthesis or digestion
  • Quickly able to detect addition or subtraction of
    amino acids

Gly-Gly-Tyr-Arg
Gly-Gly-His
Gly-Gln
Gly
42
Sandia microChemLab Modules
Preconcentrator/ Thermal Desorber
4 SAW Array
One Meter GC Column
43
A fully autonomous hand-held micro analyzer

Containing Multiple coated/packed GC columns
w/multiple coated SAW detectors
and Multiple LC columns with fluorescence
electrochemical detection
44
Synovec CPAC UW
45
The ILD-50 Industrial Mass Detector
46
Development of a Micro NMR System
  • UCD NMR Facility
  • Micro Instruments and Systems Laboratory
  • Department of Electrical and Computer Engineering
  • Department of Biological and Agricultural
    Engineering
  • University of California, Davis

47
Initial Results
NMR spectrum of a 3 micro liter water sample
using a RF micro coil
48
ADVANCES IN SENSORS AND CONTROLSHIGHLIGHT THE
NEED FOR IMPROVED SAMPLING TECHNOLOGIES
49
(New Sampling/Sensor Initiative) NeSSI
ExxonMobil, Dow, CPAC
50
Todays Typical Production Sampling Technology
Courtesy of a major petrochemical facility
51
What is NeSSI?
Picture courtesy Swagelok
52
Evolution of NeSSI
Micro Analytical (enabled by Technology Advances)
End User Value
Gen III Circa 200?
Smart Devices (enabled by Communication Standard)
Gen II Circa 2005
We are Here
Miniature/Modular (enabled by Mechanical
Standard)
Gen I Now
53
NeSSI Sandwich concept
Standard Connectivity Interface
Ethernet LAN
DevelopmentFocus can beon Sensors !
CANbus
Analyzer Controller
SAM
Standard Sampling Interface
Substrate
PDA
R. Dubois, Dow
54
The NeSSI Platform Will Also Become the Base for
a Micro-Analytical Lab
NMR MS NIR RAMAN LC GC SIA Particle
Size Viscosity Moisture Conductivity Mass
Flow Etc.
55
Raman Sensor Module
56
Miniature Surface Plasmon Resonance (SPR) Sensor
Platform
57
mSequential Injection-Lab On Valve System
58
NeSSI with an Array of Micro-Analytical
Techniques will Impact
  • Process Control
  • Process Optimization

59
Fermentation Platform Initiative (FermI)
60
Goals of FermI
  • Application and analysis of current fermentation
    tools
  • Adaptation and use of known analytical techniques
    to fermentation problems
  • What other existing tools might be useful?
  • Development and application of new fermentation
    analytics
  • What can emerging tools offer?
  • Provide training and experience in fermentation
    operations and issues.
  • What new skills and considerations are important?

61
CPAC Fermentation Platform
  • Instrumentation
  • pH, DO, Temp., agitation
  • NIR reflectance
  • Raman BallProbe
  • Visible (Optical Density).
  • Dielectric spectroscopy
  • Mass spectroscopy
  • Reflectrometry
  • Grated Light Reflective Spectroscopy
  • Surface Tension
  • Micro-LC, SIA
  • Evaluate Sampling Technologies

62
Fermentation Sampling Considerations
  • Representative sample
  • Sample size
  • Sterility requirements
  • Utilities considerations
  • Disposal considerations
  • Liquid versus vapor samples
  • Sample preservation

Genentech, Inc.
63
Sterile Sampling Designs
  • Sample location
  • Sample withdrawal position
  • Method of connection
  • fluid velocity profile
  • Containment considerations
  • Sampler design
  • Materials of construction
  • Process and sample variables

Genentech, Inc.
64
Future Work
  • Continue with scoping activities to evaluate
    analytical monitoring tools
  • Implement and evaluate NeSSI systems as sampling,
    sensor, and process control interfaces
    (broth and vapor)
  • Begin to look at chemometrics tools to model
    batch variability and data fusion approaches

65
Chemometric Analysis of Production Data
  • Goal
  • To develop automated tools to evaluate
    production data.
  • Implementation of chemometrics to quantify
    process performance.
  • Application of Principal Component Analysis (PCA)
    to perform automated pattern recognition.

66
IT IS GOING TO BE AN EXCITING TIME
IMPLEMENTING A NEW TECHNOLOGY INFRASTRUCTURE IN
PHARMACEUTICAL AND BIOLOGICAL MANUFACTURING
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