29
Raman Spectroscopy: a Valuable New Tool for Polymorph Analysis

Raman Spectroscopy: a Valuable New Tool for Polymorph Analysis

Embed Size (px)

Citation preview

Raman Spectroscopy: a Valuable New Tool for Polymorph Analysis

2

Overview

• Raman spectroscopy –Rapidly growing technique

• New solution for polymorph screening– Multi-well format

– Automated data collection and analysis

• Result of a year-long collaboration with a major pharmaceutical company

3

Polymorphism

• Important issue for pharmaceutical industry–Physical properties

• Bioavailability, stability, dissolution, manufacturability

–Development and manufacturing

–Regulatory

–Intellectual property

4

Current Industry Status

• Polymorph characterization is moving to earlier stages in drug development

• More exhaustive screening– Parallel crystallization experiments

• Temperature

• Solvent selection

• Salt selection

• Recrystallization rate

• Increased analytical workload

• More data to analyze

• Demand for more automated analytical tools

5

Multi-Well Recrystallization

Sol

vent

1

Sol

vent

2

Sol

vent

3

Sol

vent

4

Sol

vent

5

Sol

vent

6

Sol

vent

7

Sol

vent

8

Sol

vent

9

Sol

vent

10

Sol

vent

11

Sol

vent

12

Acid A

Acid B

Acid G

Acid C

Acid D

Acid F

Acid H

Acid E

6

Common Techniques used in Polymorph Characterization

• X-ray Powder Diffraction (XRD)

• Differential Scanning Calorimetry (DSC)

• Thermal Gravimetric Analysis (TGA)

• Molecular information is lacking

7

How Do We Fill the Molecular Information Gap?

• Raman spectroscopy –Measures shifts in wavelength of

scattered light –Shifts are characteristic of compound

and its molecular environment

• High information content–Molecular identification–Differentiates between:

• Polymorphs• Solvates• Hydrates• Amorphic vs. crystalline forms

8

Additional Benefits of Raman Spectroscopy

• Raman is well-suited to high throughput screening

• Non destructive

• Fast data acquisition (< 1 sec/sample)

• Little or no sample prep

• Flexible sampling–Microscope slides, glass vials,…etc.

–Measure directly in Microtiter™ plates (48, 96, 384 well)

–In situ monitoring

• Highly sensitive– Sample size flexibility (bulk or single crystal)

9

5-Methyl-2-[(2-nitrophenyl)amino]-3-thiophenecarbonitrile also known as “ROY” *

Raman Spectroscopy and Polymorphism

N

Yu, L.; Stephenson, G. A.; Mitchell, C. A.; Bunnell, C. A.; Snorek, S. V.; Bowyer, J. J.; Borchardt, T. B.; Stowell, J. G; Byrn, S. R. J. Am. Chem. Soc. 2000, 122, 585.

*

Yellow Polymorph

Orange Polymorph

Red Polymorph

10

Raman Spectroscopy – The Past

11

The Thermo Electron Solution

• The Nicolet™ Almega™ XR–Walk up instrument

–Analytical tool

–Designed for ease of use

–Highest reliability

–Highly automated

–Regulatory compliant

12

Raman Spectroscopy - Nicolet Almega XR

• Completely integrated system

• Laser safety Class I

• Micro analysis– Single crystals

– 96-well plates

– High quality visual imaging

– Polarized light

• Extensive automation

• No maintenance

• Reliable results

• Regulatory compliant

• Comprehensive software

13

No Maintenance

• System alignment–Traditionally high maintenance

–Thermo solved this problem

–Patented autoalignment technique• Added benefit – maximum performance

14

Trusted Results

• Automated system calibration– Integrated on-board standards

– Unattended operation

– Scheduled during off hours

15

Regulatory Compliance

• System validation

–ValPro™ instrument qualification package

• Comprehensive qualification tools

– DQ, IQ, OQ

• Traceable standard

• Digital signatures

16

• OMNIC™ software suite–Automates all aspects of instrument control

–True push-button operation

–Minimal training time

–Automated data analysis

Comprehensive Software

17

OMNIC Array Automation Software

• Most advanced solution for polymorph characterization

• Developed and tested with pharmaceutical partner– Full year collaboration in a true drug development environment

• Automates extraction of useful information – Data collection

– Data processing

– Data analysis

• LIMS compatible

• Robotics ready

18

Easy Experimental Set Up

• Pre-defined templates–24, 48, 96, 384, 1536-well

microtiter plates

–Capillary arrays

–Micro-arrays

–Custom arrays

19

• Point and click navigation

• Specify which wells to sample

• Specify data collection method for each well

Easy Experimental Set Up

20

Easy Data Collection

21

Easily Understandable Results

• Graphical presentation of data analysis– Point and click navigation and retrieval of spectral information

– Photo documentation of each measurement

22

Overcoming the Challenge of Automated Data Analysis

• Eliminate background interference

• Facilitate automated spectrum to spectrum comparisons

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

22000

24000

26000

28000

Ram

an in

tens

ity

500 1000 1500 2000 2500 3000

Raman shift (cm-1)

23

Elimination of Background Fluorescence

• Norris derivative – Eliminates fluorescence

interference while revealing spectral similarities

– Permits batch elimination of interference

24

Example of Applying Norris Derivative

25

Results Extraction From Entire Data Set

• The challenge– Compare all spectra with all the others in the array

to identify known classes and potential new forms

• Cluster analysis algorithm performs a cross correlation between all members in a data set

– Assigns spectra to groups based on similarity

– Identifies outliers

– Results are processed and presented visually

– Immediately grasp results of entire experiment

• Rapid analysis of large and complex data sets

26

YellowCluster

Green Cluster

BlueClusterRed

Cluster

Purple Outliers

Visual Display of Grouped Wells

• Cluster analysis displays wells grouped together by spectral similarity

• Each line represents a single well

27

Identifies Known Polymorphs and New Forms

• Color-codes wells into four groups

– Colored red, green, blue and yellow

• Twenty wells do not fall into any of the four groups

– Colored purple– Potentially new forms

• Reports results to LIMS

• Manual spectral comparison takes skilled analyst 4 hours per 96-well plate

• Array Automation takes 5 minutes

28

Apply Norris derivative to eliminate fluorescence interference

Cluster analysis

Rapid Data Processing with Array Automation

Polymorphs identified by color coding

29

Summary

• Raman fills the critical molecular information gap

• The Thermo Raman tool is particularly well suited for the pharmaceutical analytical laboratory

–High degree of automation–High reliability–Automated data analysis–Complete instrument qualification tools

• Thermo has developed an advanced solution for polymorph screening

• Thermo is committed to partnering with you