SlideShare a Scribd company logo
1 of 25
PRESENTED BY :- ARPIT S. PANDYA
I-M.PHARM
INDUSTRIAL PHARMACY
SRINIVAS COLLEGE OF PHARMACY
What is Infrared Region?
 Infrared radiation lies between the visible and
microwave portions of the electromagnetic spectrum.
 Infrared waves have wavelengths longer than visible
and shorter than microwaves, and have frequencies
which are lower than visible and higher than
microwaves.
 The Infrared region is divided into: near, mid and far-
infrared.
 Near-infrared refers to the part of the infrared
spectrum that is closest to visible light and far-
infrared refers to the part that is closer to the
microwave region.
 Mid-infrared is the region between these two.
 The primary source of infrared radiation is thermal
radiation. (heat)
 It is the radiation produced by the motion of atoms and
molecules in an object. The higher the temperature, the
more the atoms and molecules move and the more
infrared radiation they produce.
 Any object radiates in the infrared. Even an ice cube,
emits infrared.
According to Principle of IR,
Molecular Vibration takes place as a result
of Absorption of IR radiation when –
Applied Infrared Frequency = Natural frequency of vibration
•Every bond or functional groups requires different frequency
for Absorption. Hence characteristics Peak is observed for
every functional group or part of the molecule.
Infrared Spectroscopy
For isopropyl alcohol, CH(CH3)2OH, the infrared
absorption bands identify the various functional groups
of the molecule.
What is FT-IR?
 FT-IR stands for Fourier Transform Infrared, the
preferred method of infrared spectroscopy. In infrared
spectroscopy, IR radiation is passed through a sample.
Some of the infrared radiation is absorbed by the sample
and some of it is passed through (transmitted).
 The resulting spectrum represents the molecular absorption
and transmission, creating a molecular fingerprint of the
sample.
 Like a fingerprint no two unique molecular structures
produce the same infrared spectrum. This makes infrared
spectroscopy useful for several types of analysis.
 So, what information can FT-IR provide?
 It can identify unknown materials
 It can determine the quality or consistency of a
sample
 It can determine the amount of components in a
mixture
Superiority of FT-IR
Dispersive infrared spectrometers suffer from several
disadvantages in sensitivity, speed and wavelength
accuracy. Most of the light from the source does not in fact
pass through the sample to the detector, but is lost in the
narrowness of the focusing slits; only poor sensitivity
results. Since the spectrum takes minutes to record, the
method cannot be applied to fast processes.
Dispersive infrared spectrometers scan over the
wavelength range and disperse the light by use of a
grating, these spectrometers suffer from wavelength
inaccuracies associated with the backlash in the mechanical
movements, such as in the rotation of mirrors and
gratings.
An entirely different principle is involved in Fourier
Transform infrared spectroscopy, which centres on a
Michelson interferometer, so that the method can also be
called interferometric infrared spectroscopy.
Fourier transform infrared spectroscopy is preferred
over dispersive or filter methods of infrared spectral
analysis for several reasons:
• It is a non-destructive technique.
• It provides a precise measurement method which
requires no external calibration.
• It can increase speed, collecting a scan every second.
• It can increase sensitivity.
• It has greater optical throughput.
• It is mechanically simple with only one moving part.
To separate IR light, a grating is used.
Grating
Light source
Detector
Sample
Slit
To select the specified IR light,
A slit is used.
Fixed CCM
B.S.
Moving CCM
IR Light source
Sample
Detector
An interferogram is first made
by the interferometer using IR
light.
The interferogram is calculated and transformed
into a spectrum using a Fourier Transform (FT).
Dispersive Spectrometer FTIR
In order to measure an IR
spectrum,
the dispersion Spectrometer
takesseveral minutes.
Also the detector receives
only a few % of the energy
of original light source.
In order to measure an IR
spectrum,
FTIR takes only a few
seconds.
Moreover, the detector
receives up to 50% of the
energy of original light
source. (much larger than
the dispersion
spectrometer.)
THEORY OF FT-IR:
 Fourier Transform Infrared (FT-IR) spectrometry was
developed in order to overcome the limitations encountered
with dispersive instruments.
 The main difficulty was the slow scanning process. A
method for measuring all of the infrared frequencies
simultaneously, rather than individually, was needed.
 A solution was developed which employed a very simple
optical device called an interferometer. The interferometer
produces a unique type of signal which has all of the infrared
frequencies “encoded” into it.
 The signal can be measured very quickly, usually on the
order of one second or so. Thus, the time element per sample is
reduced to a matter of a few seconds rather than several
minutes.
 Most interferometers employ a beamsplitter which
takes the incoming infrared beam and divides it into two
optical beams.
 One beam reflects off of a flat mirror which is fixed in
place. The other beam reflects off of a flat mirror which is on a
mechanism which allows this mirror to move a very short
distance (typically a few millimeters) away from the
beamsplitter.
 The two beams reflect off of their respective mirrors
and are recombined when they meet back at the beamsplitter.
Because the path that one beam travels is a fixed length and
the other is constantly changing as its mirror moves, the
signal which exits the interferometer is the result of these two
beams “interfering” with each other.
 The resulting signal is called an interferogram which
has the unique property that every data point (a function of
the moving mirror position) which makes up the signal has
information about every infrared frequency which comes
from the source.
 This means that as the interferogram is measured, all
frequencies are being measured simultaneously. Thus, the
use of the interferometer results in extremely fast
measurements.
 Because the analyst requires a frequency spectrum (a
plot of the intensity at each individual frequency) in order
to make an identification, the measured interferogram
signal can not be interpreted directly.
 A means of “decoding” the individual frequencies is
required. This can be accomplished via a well-known
mathematical technique called the Fourier transformation.
This transformation is performed by the computer which
then presents the user with the desired spectral
information for analysis.
SAMPLING TECHNIQUES
1.Liquid Samples:
Neat sample
Diluted solution
Liquid cell
2.Solid Samples:
Neat sample
Cast films
Pressed films
KBr pellets
Mull
3.Gas Samples:
Short path cell
Long path cell
The Sample Analysis Process:
The normal instrumental process is as follows:
1.The Source: Infrared energy is emitted from a glowing black-
body source. This beam passes through an aperture which
controls the amount of energy presented to the sample (and,
ultimately, to the detector).
2.The Interferometer: The beam enters the interferometer where
the “spectral encoding” takesplace. The resulting interferogram
signal then exits the interferometer.
3.The Sample: The beam enters the sample compartment where
it is transmitted through or reflected off of the surface of the
sample, depending on the type of analysis being accomplished.
This is where specific frequencies of energy, which are
uniquely characteristic of the sample, are absorbed.
4.The Detector: The beam finally passes to the detector for final
measurement. The detectors used are specially designed to
measure the special interferogram signal.
5.The Computer: The measured signal is digitized and sent to
the computer where the Fourier transformation takes place.
The final infrared spectrum is then presented to the user for
interpretation and any further manipulation.
Because there needs to be a relative scale for the
absorption intensity, a background spectrum must also be
measured. This is normally a measurement with no sample in
the beam. This can be compared to the measurement with the
sample in the beam to determine the “percent transmittance.”
This technique results in a spectrum which has all of the
instrumental characteristics removed.
Thus, all spectral features which are present are
strictly due to the sample. A single background measurement
can be used for many sample measurements because this
spectrum is characteristic of the instrument itself.
Advantages of FT-IR
•Speed: Because all of the frequencies are measured
simultaneously, most measurements by FT-IR are made in a
matter of seconds rather than several minutes.
•Sensitivity: Sensitivity is dramatically improved with FT-IR
for many reasons. The detectors employed are much more
sensitive, the optical throughput is much higher which results
in much lower noise levels, and the fast scans enable the co
addition of several scans in order to reduce the random
measurement noise to any desired level (referred to as signal
averaging).
•Mechanical Simplicity: The moving mirror in the
interferometer is the only continuously moving part in the
instrument. Thus, there is very little possibility of mechanical
breakdown.
• Internally Calibrated: These instruments employ a HeNe
laser as an internal wavelength calibration standard.
These instruments are self-calibrating and never need to
be calibrated by the user.
REFERENCES :-
•Introduction to Fourier Transform Infrared Spectrometry By
Thermo Nicolet Corporation
•An article on FTIR SAMPLING TECHNIQUES by Hue Phan.
TN.101
•Instrumental Methods Of Chemical Analysis by Gurdeep R.
Chatwal & Sham K. Anand
•P. R. Griffiths and J. A. de Haseth, Fourier-Transform Infrared
Spectroscopy, Wiley- Interscience, New York,
Chichester,Brisbane, Toronto, Singapore,1986
•FTIR Spectroscopy By Jorge. E. Perez and Richard T. Meyer
CIC
• Photonics, Inc. 3825 Osuna Rd. NE Ste. 6 & 7. Albuquerque,
NM 87105.
FTIR

More Related Content

What's hot (20)

Mass Spectroscopy
Mass SpectroscopyMass Spectroscopy
Mass Spectroscopy
 
Diffrential scanning calorimery (dsc) ppt
Diffrential scanning calorimery (dsc) pptDiffrential scanning calorimery (dsc) ppt
Diffrential scanning calorimery (dsc) ppt
 
Thermogravimetric analysis ppt
Thermogravimetric analysis pptThermogravimetric analysis ppt
Thermogravimetric analysis ppt
 
IR Spectroscopy
IR Spectroscopy IR Spectroscopy
IR Spectroscopy
 
Raman spectroscopy
Raman spectroscopyRaman spectroscopy
Raman spectroscopy
 
Emission spectroscopy
Emission spectroscopyEmission spectroscopy
Emission spectroscopy
 
Thermogravimetric analysis
Thermogravimetric analysisThermogravimetric analysis
Thermogravimetric analysis
 
X ray powder diffraction
X ray powder diffractionX ray powder diffraction
X ray powder diffraction
 
MASS SPECTROSCOPY & ITS INSTRUMENTATION
MASS SPECTROSCOPY & ITS INSTRUMENTATIONMASS SPECTROSCOPY & ITS INSTRUMENTATION
MASS SPECTROSCOPY & ITS INSTRUMENTATION
 
Differential Scanning Calorimeter Instrumentation.(DSC)
Differential Scanning Calorimeter Instrumentation.(DSC)Differential Scanning Calorimeter Instrumentation.(DSC)
Differential Scanning Calorimeter Instrumentation.(DSC)
 
Uv visible spectrophotometer
Uv visible spectrophotometerUv visible spectrophotometer
Uv visible spectrophotometer
 
x-ray-diffraction-technique
x-ray-diffraction-techniquex-ray-diffraction-technique
x-ray-diffraction-technique
 
Nmr spectroscopy
Nmr spectroscopyNmr spectroscopy
Nmr spectroscopy
 
UV visible spectroscopy
UV visible spectroscopyUV visible spectroscopy
UV visible spectroscopy
 
Mass spectroscopy
Mass spectroscopyMass spectroscopy
Mass spectroscopy
 
X ray diffraction method
X ray diffraction methodX ray diffraction method
X ray diffraction method
 
Differential scanning calorimetry
Differential scanning calorimetryDifferential scanning calorimetry
Differential scanning calorimetry
 
Uv spectroscopy
Uv  spectroscopyUv  spectroscopy
Uv spectroscopy
 
NMR SPECTROSCOPY
NMR SPECTROSCOPYNMR SPECTROSCOPY
NMR SPECTROSCOPY
 
NMR spectroscopy
NMR spectroscopyNMR spectroscopy
NMR spectroscopy
 

Viewers also liked (20)

Ftir
FtirFtir
Ftir
 
Principles of ftir
Principles of ftirPrinciples of ftir
Principles of ftir
 
FTIR
FTIRFTIR
FTIR
 
FTIR
FTIRFTIR
FTIR
 
Uv visible instrument types
Uv visible instrument typesUv visible instrument types
Uv visible instrument types
 
Uv,vis,nmr,mass,ir
Uv,vis,nmr,mass,irUv,vis,nmr,mass,ir
Uv,vis,nmr,mass,ir
 
Infrared presentation
Infrared presentationInfrared presentation
Infrared presentation
 
Factors affecting vibrational frequencies in IR
Factors affecting vibrational frequencies in IRFactors affecting vibrational frequencies in IR
Factors affecting vibrational frequencies in IR
 
Spectrofluorimetry
SpectrofluorimetrySpectrofluorimetry
Spectrofluorimetry
 
Nmr spectroscopy
Nmr spectroscopyNmr spectroscopy
Nmr spectroscopy
 
Nmr spectroscopy
Nmr spectroscopyNmr spectroscopy
Nmr spectroscopy
 
Quantum numbers
Quantum numbersQuantum numbers
Quantum numbers
 
Spectrofluorimetry Lecture
Spectrofluorimetry LectureSpectrofluorimetry Lecture
Spectrofluorimetry Lecture
 
Spectrofluorimetry
SpectrofluorimetrySpectrofluorimetry
Spectrofluorimetry
 
Spectrophotometry
SpectrophotometrySpectrophotometry
Spectrophotometry
 
Spectrophotometer
SpectrophotometerSpectrophotometer
Spectrophotometer
 
Atomic emission spectroscopy
Atomic emission spectroscopyAtomic emission spectroscopy
Atomic emission spectroscopy
 
Electrophoresis presentation
Electrophoresis presentationElectrophoresis presentation
Electrophoresis presentation
 
IR SPECTROSCOPY
IR SPECTROSCOPYIR SPECTROSCOPY
IR SPECTROSCOPY
 
Nuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance SpectroscopyNuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance Spectroscopy
 

Similar to FTIR (20)

FTIR(Fourier transform infrared) spectroscopy
 FTIR(Fourier transform infrared) spectroscopy  FTIR(Fourier transform infrared) spectroscopy
FTIR(Fourier transform infrared) spectroscopy
 
Training Report
Training ReportTraining Report
Training Report
 
Ftir tarininng report pdf
Ftir tarininng report pdfFtir tarininng report pdf
Ftir tarininng report pdf
 
IR Machine
IR  MachineIR  Machine
IR Machine
 
Ft ir
Ft irFt ir
Ft ir
 
Fourier Transform Infrared Spectrometry (FTIR) and Textile
Fourier Transform Infrared Spectrometry (FTIR) and TextileFourier Transform Infrared Spectrometry (FTIR) and Textile
Fourier Transform Infrared Spectrometry (FTIR) and Textile
 
New microsoft power point presentation
New microsoft power point presentationNew microsoft power point presentation
New microsoft power point presentation
 
Gritta ftir
Gritta ftirGritta ftir
Gritta ftir
 
Gritta ftir
Gritta ftirGritta ftir
Gritta ftir
 
Ftir intro
Ftir introFtir intro
Ftir intro
 
LC-FTIR PPT.pptx S.pptx
LC-FTIR PPT.pptx S.pptxLC-FTIR PPT.pptx S.pptx
LC-FTIR PPT.pptx S.pptx
 
08 chapter3
08 chapter308 chapter3
08 chapter3
 
Single beam spectrophotometer
Single beam spectrophotometer Single beam spectrophotometer
Single beam spectrophotometer
 
FTIR-Presentazione.ppt
FTIR-Presentazione.pptFTIR-Presentazione.ppt
FTIR-Presentazione.ppt
 
Ppt
PptPpt
Ppt
 
Ftir
FtirFtir
Ftir
 
performance and specifications of spectrophotometer
performance and specifications of spectrophotometerperformance and specifications of spectrophotometer
performance and specifications of spectrophotometer
 
ftirspectrophotometer-160131171845.pptx
ftirspectrophotometer-160131171845.pptxftirspectrophotometer-160131171845.pptx
ftirspectrophotometer-160131171845.pptx
 
Sachin new ftir
Sachin new ftirSachin new ftir
Sachin new ftir
 
Uv vis-ir spectroscopy
Uv vis-ir spectroscopyUv vis-ir spectroscopy
Uv vis-ir spectroscopy
 

Recently uploaded

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationRadu Cotescu
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CVKhem
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxMalak Abu Hammad
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...Martijn de Jong
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsEnterprise Knowledge
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Enterprise Knowledge
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)Gabriella Davis
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Igalia
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdfhans926745
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?Igalia
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?Antenna Manufacturer Coco
 

Recently uploaded (20)

Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CVReal Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
The Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptxThe Codex of Business Writing Software for Real-World Solutions 2.pptx
The Codex of Business Writing Software for Real-World Solutions 2.pptx
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
IAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI SolutionsIAC 2024 - IA Fast Track to Search Focused AI Solutions
IAC 2024 - IA Fast Track to Search Focused AI Solutions
 
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law DevelopmentsTrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?A Year of the Servo Reboot: Where Are We Now?
A Year of the Servo Reboot: Where Are We Now?
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
 

FTIR

  • 1. PRESENTED BY :- ARPIT S. PANDYA I-M.PHARM INDUSTRIAL PHARMACY SRINIVAS COLLEGE OF PHARMACY
  • 2. What is Infrared Region?  Infrared radiation lies between the visible and microwave portions of the electromagnetic spectrum.  Infrared waves have wavelengths longer than visible and shorter than microwaves, and have frequencies which are lower than visible and higher than microwaves.  The Infrared region is divided into: near, mid and far- infrared.  Near-infrared refers to the part of the infrared spectrum that is closest to visible light and far- infrared refers to the part that is closer to the microwave region.  Mid-infrared is the region between these two.
  • 3.  The primary source of infrared radiation is thermal radiation. (heat)  It is the radiation produced by the motion of atoms and molecules in an object. The higher the temperature, the more the atoms and molecules move and the more infrared radiation they produce.  Any object radiates in the infrared. Even an ice cube, emits infrared.
  • 4. According to Principle of IR, Molecular Vibration takes place as a result of Absorption of IR radiation when – Applied Infrared Frequency = Natural frequency of vibration •Every bond or functional groups requires different frequency for Absorption. Hence characteristics Peak is observed for every functional group or part of the molecule.
  • 5. Infrared Spectroscopy For isopropyl alcohol, CH(CH3)2OH, the infrared absorption bands identify the various functional groups of the molecule.
  • 7.  FT-IR stands for Fourier Transform Infrared, the preferred method of infrared spectroscopy. In infrared spectroscopy, IR radiation is passed through a sample. Some of the infrared radiation is absorbed by the sample and some of it is passed through (transmitted).  The resulting spectrum represents the molecular absorption and transmission, creating a molecular fingerprint of the sample.  Like a fingerprint no two unique molecular structures produce the same infrared spectrum. This makes infrared spectroscopy useful for several types of analysis.
  • 8.  So, what information can FT-IR provide?  It can identify unknown materials  It can determine the quality or consistency of a sample  It can determine the amount of components in a mixture
  • 9. Superiority of FT-IR Dispersive infrared spectrometers suffer from several disadvantages in sensitivity, speed and wavelength accuracy. Most of the light from the source does not in fact pass through the sample to the detector, but is lost in the narrowness of the focusing slits; only poor sensitivity results. Since the spectrum takes minutes to record, the method cannot be applied to fast processes. Dispersive infrared spectrometers scan over the wavelength range and disperse the light by use of a grating, these spectrometers suffer from wavelength inaccuracies associated with the backlash in the mechanical movements, such as in the rotation of mirrors and gratings. An entirely different principle is involved in Fourier Transform infrared spectroscopy, which centres on a Michelson interferometer, so that the method can also be called interferometric infrared spectroscopy.
  • 10. Fourier transform infrared spectroscopy is preferred over dispersive or filter methods of infrared spectral analysis for several reasons: • It is a non-destructive technique. • It provides a precise measurement method which requires no external calibration. • It can increase speed, collecting a scan every second. • It can increase sensitivity. • It has greater optical throughput. • It is mechanically simple with only one moving part.
  • 11. To separate IR light, a grating is used. Grating Light source Detector Sample Slit To select the specified IR light, A slit is used. Fixed CCM B.S. Moving CCM IR Light source Sample Detector An interferogram is first made by the interferometer using IR light. The interferogram is calculated and transformed into a spectrum using a Fourier Transform (FT).
  • 12. Dispersive Spectrometer FTIR In order to measure an IR spectrum, the dispersion Spectrometer takesseveral minutes. Also the detector receives only a few % of the energy of original light source. In order to measure an IR spectrum, FTIR takes only a few seconds. Moreover, the detector receives up to 50% of the energy of original light source. (much larger than the dispersion spectrometer.)
  • 13. THEORY OF FT-IR:  Fourier Transform Infrared (FT-IR) spectrometry was developed in order to overcome the limitations encountered with dispersive instruments.  The main difficulty was the slow scanning process. A method for measuring all of the infrared frequencies simultaneously, rather than individually, was needed.  A solution was developed which employed a very simple optical device called an interferometer. The interferometer produces a unique type of signal which has all of the infrared frequencies “encoded” into it.  The signal can be measured very quickly, usually on the order of one second or so. Thus, the time element per sample is reduced to a matter of a few seconds rather than several minutes.
  • 14.  Most interferometers employ a beamsplitter which takes the incoming infrared beam and divides it into two optical beams.  One beam reflects off of a flat mirror which is fixed in place. The other beam reflects off of a flat mirror which is on a mechanism which allows this mirror to move a very short distance (typically a few millimeters) away from the beamsplitter.  The two beams reflect off of their respective mirrors and are recombined when they meet back at the beamsplitter. Because the path that one beam travels is a fixed length and the other is constantly changing as its mirror moves, the signal which exits the interferometer is the result of these two beams “interfering” with each other.  The resulting signal is called an interferogram which has the unique property that every data point (a function of the moving mirror position) which makes up the signal has information about every infrared frequency which comes from the source.
  • 15.
  • 16.
  • 17.  This means that as the interferogram is measured, all frequencies are being measured simultaneously. Thus, the use of the interferometer results in extremely fast measurements.  Because the analyst requires a frequency spectrum (a plot of the intensity at each individual frequency) in order to make an identification, the measured interferogram signal can not be interpreted directly.  A means of “decoding” the individual frequencies is required. This can be accomplished via a well-known mathematical technique called the Fourier transformation. This transformation is performed by the computer which then presents the user with the desired spectral information for analysis.
  • 18. SAMPLING TECHNIQUES 1.Liquid Samples: Neat sample Diluted solution Liquid cell 2.Solid Samples: Neat sample Cast films Pressed films KBr pellets Mull 3.Gas Samples: Short path cell Long path cell
  • 19. The Sample Analysis Process: The normal instrumental process is as follows: 1.The Source: Infrared energy is emitted from a glowing black- body source. This beam passes through an aperture which controls the amount of energy presented to the sample (and, ultimately, to the detector). 2.The Interferometer: The beam enters the interferometer where the “spectral encoding” takesplace. The resulting interferogram signal then exits the interferometer. 3.The Sample: The beam enters the sample compartment where it is transmitted through or reflected off of the surface of the sample, depending on the type of analysis being accomplished. This is where specific frequencies of energy, which are uniquely characteristic of the sample, are absorbed. 4.The Detector: The beam finally passes to the detector for final measurement. The detectors used are specially designed to measure the special interferogram signal.
  • 20. 5.The Computer: The measured signal is digitized and sent to the computer where the Fourier transformation takes place. The final infrared spectrum is then presented to the user for interpretation and any further manipulation. Because there needs to be a relative scale for the absorption intensity, a background spectrum must also be measured. This is normally a measurement with no sample in the beam. This can be compared to the measurement with the sample in the beam to determine the “percent transmittance.” This technique results in a spectrum which has all of the instrumental characteristics removed. Thus, all spectral features which are present are strictly due to the sample. A single background measurement can be used for many sample measurements because this spectrum is characteristic of the instrument itself.
  • 21.
  • 22. Advantages of FT-IR •Speed: Because all of the frequencies are measured simultaneously, most measurements by FT-IR are made in a matter of seconds rather than several minutes. •Sensitivity: Sensitivity is dramatically improved with FT-IR for many reasons. The detectors employed are much more sensitive, the optical throughput is much higher which results in much lower noise levels, and the fast scans enable the co addition of several scans in order to reduce the random measurement noise to any desired level (referred to as signal averaging). •Mechanical Simplicity: The moving mirror in the interferometer is the only continuously moving part in the instrument. Thus, there is very little possibility of mechanical breakdown.
  • 23. • Internally Calibrated: These instruments employ a HeNe laser as an internal wavelength calibration standard. These instruments are self-calibrating and never need to be calibrated by the user.
  • 24. REFERENCES :- •Introduction to Fourier Transform Infrared Spectrometry By Thermo Nicolet Corporation •An article on FTIR SAMPLING TECHNIQUES by Hue Phan. TN.101 •Instrumental Methods Of Chemical Analysis by Gurdeep R. Chatwal & Sham K. Anand •P. R. Griffiths and J. A. de Haseth, Fourier-Transform Infrared Spectroscopy, Wiley- Interscience, New York, Chichester,Brisbane, Toronto, Singapore,1986 •FTIR Spectroscopy By Jorge. E. Perez and Richard T. Meyer CIC • Photonics, Inc. 3825 Osuna Rd. NE Ste. 6 & 7. Albuquerque, NM 87105.