SlideShare ist ein Scribd-Unternehmen logo
1 von 59
Physical techniques
to study molecular structure
Sample
Radiation            Detection

X-ray
n
e-
RF
About samples of biomolecules



Example:

How many protein molecules are there in the solution
sample (volume, 100 µl) at the concentration of 0.1 mM?
Brownian motion




                  1 µm particles
History of Brownian motion

1785: Jan Ingenhousz observed irregular motion of coal dust particles in
alcohol.



1827: Robert Brown watched pollen particles performing irregular motion in
water using a microscope. He repeated his experiments with dust to rule out
that the particles were alive.



1905: Einstein provided the first physical theory to explain Brownian motion.



1908: Jean Perrin did experiments to verify Einstein’s predictions. The
measurements allowed Perrin to give the first estimate of the dimensions of
water molecules. Jean Perrin won the Nobel Prize of Physics in 1926 for this
work.
y                                Random walk

                                                                  
                                 R = qe1 + qe2 + qe3 + ... + qeN where ei are unit vectors
                                                                     
                                 For random walk we require that R = 0

                                Example (assume only two steps)
        qe2                     
      qe1
                             x
                                                2
                                                            (
                                                            2           
                                                                                 )     (          
                                                                                                        )      (      
                                 R 2 = ( qe1 + qe 2 ) = q 2 e 2 + e12 + 2e 2 ⋅ e1 = q 2 1 + 1 + 2e 2 ⋅ e1 = q 2 2 + 2e 2 ⋅ e1   )
           Average over M experiments
            2    1 m 2 1  M 2                        2  q2                
            R =     ∑ R k = M ∑ q ( e1 + e2 + e3 + ... + e N )  = M (MN + ∑ ei ⋅e j )
                 M k =1          k =1                                     i≠ j

                                                                                                                     t
If we assume that each step is random and takes a time τ and the total time is t, then N =
                                                                                                                     τ
             2      t 2                 q 2 2q 2 q 2
We may write R = Nq = q = 4Dt, where D =
                   2
                                            = x = x                                        where q 2 = q 2 + q 2 = 2q 2
                                                                                                         x     y      x
                     τ                   4τ   4τ  2τ

                   Each step in the x and y directions are random,
                   but otherwise equal, such that qx2=qy2
Random walk


                          MSD
y




                     x
                                                         t


                                  2                q2
    Mean Square Deviation = MSD = R = 4Dt, where D = x
                                                    2τ
            1D: MSD=2Dt
            2D: MSD=4Dt     try to show this yourself!
            3D: MSD=6Dt
Fick’s law of diffusion

   Adolf Fick (1855):

                                     J
         dC
  J = −D
                                         A


         dx

J= flux of particles (number of particles per area and time
incident on a cross-section) [m-2s-1]
D= diffusion coefficient [m2s-1]
C=concentration of particles [m-3]
(sometimes n is used instead of C to represent concentration )
Random walk is due to thermal fluctuations!
      v
            ma = 0 = −fv + R(t)   f = 6πrη for a spherical particle where r = radius of particles
                                  R(t) is a random force due to collision with water molecules
 fv
            R(t)




             k BT
          D=      (Einstein relationship, 1905)
               f
Diffusion coefficients in different materials


           k BT
      D=        (Einstein relationship, 1905)
             f


        State of matter    D [m2/s]


        Solid              10-13
        Liquid             10-9
        Gas                10-5
Radiation




            X-ray
            n
            e-
            RF
Photons and Electromagnetic Waves


• Light has a dual nature. It exhibits both wave and
  particle characteristics
   – Applies to all electromagnetic radiation
Particle nature of light


• Light consists of tiny packets of energy, called photons

• The photon’s energy is:


                    E = h f = h c /λ




                 h = 6.626 x 10-34 J s (Planck’s constant)
Wave Properties of Particles



• In 1924, Louis de Broglie postulated that because
  photons have wave and particle characteristics,
  perhaps all forms of matter have both properties
de Broglie Wavelength and Frequency


  • The de Broglie wavelength of a particle is

                    h  h
                 λ = =
                    p mv
  • The frequency of matter waves is


                      E
                   ƒ=
                      h
Dual Nature of Matter



• The de Broglie equations show the dual nature of matter

• Matter concepts
  – Energy and momentum

• Wave concepts
  – Wavelength and frequency
X-Rays


• Electromagnetic radiation with short wavelengths
   – Wavelengths less than for ultraviolet
   – Wavelengths are typically about 0.1 nm
   – X-rays have the ability to penetrate most materials
     with relative ease

• Discovered and named by Röntgen in 1895
Production of X-rays

• X-rays are produced when high-speed electrons are
  suddenly slowed down
Wavelengths Produced
Production of X-rays in
synchrotron




 European synchrotron
 Grenoble, France
European synchrotron
                       Electron energy: 6 Gev
European synchrotron




   Bending magnets     Undulators
A typical beamline
The three largest and most powerful synchrotrons in the world




  APS, USA             ESRF, Europe-France            Spring-8, Japan
Scattering
                        Analogical synthesis



                                     Image
 Object          Lens




Direct imaging method (optical or electronic)
Scattering
                           Synthesis by computation (FT)



                                         Image
     Object      Data collection




Indirect imaging method (diffraction X-ray, neutrons, e-)
Scattering of a plane monochrome wave




         Incident
         wave



                                Scattered
                                wave




                                        Janin & Delepierre
A molecule represented by electron density
Scattering by an object of finite volume



                                    Scattered
                                    beam


           Incident
           beam




                                           Janin & Delepierre
Schematic for X-ray Diffraction



• The diffracted radiation is very
  intense in certain directions
   – These directions correspond
      to constructive interference
      from waves reflected from the
      layers of the crystal
Diffraction Grating




                      • The condition for maxima is
                         d sin θbright = m λ
                             • m = 0, 1, 2, …
X-ray Diffraction of DNA




     Photo 51




                           http://en.wikipedia.org/wiki/Image:Photo_51.jpg
Planes in crystal lattice
Bragg’s Law


•   The beam reflected from the lower
    surface travels farther than the one
    reflected from the upper surface

•   Bragg’s Law gives the conditions for
    constructive interference
     2 d sinθ = mλ; m = 1, 2, 3…
A protein crystal
X-ray diffraction pattern of a protein crystal




                                           http://en.wikipedia.org/wiki/X-ray_crystallography
Electron density of a protein
Scattering and diffraction of neutrons




Institut Laue-Langevin,
Grenoble, France
Why use neutrons?




   Electrically Neutral
   Microscopically Magnetic
   Ångstrom wavelengths
   Energies of millielectronvolts
The Electron Microscope


•   The electron microscope depends on
    the wave characteristics of electrons

•   Microscopes can only resolve details
    that are slightly smaller than the
    wavelength of the radiation used to
    illuminate the object

•   The electrons can be accelerated to
    high energies and have small
    wavelengths
Nuclear Magnetic Resonance (NMR) spectroscopy




              Superconducting magnets 21.5 T
              Earth’s magnetic field 5 x 10-5 T
                                                  http://en.wikipedia.org/wiki/Nuclear_magnetic_resonance
Spin and magnetic moment

• Nuclei can have integral spins (e.g. I = 1, 2, 3 ....): 2H, 6Li, 14N
fractional spins (e.g. I = 1/2, 3/2, 5/2 ....): 1H, 15N
or no spin (I = 0): 12C, 16O

• Isotopes of particular interest for biomolecular research are
 1
  H, 13C, 15N and 31P, which have I = 1/2.


• Spins are associated with magnetic moments by:



                   m = γħ I
Larmor frequency




    A Spinning Gyroscope                     A Spinning Charge
    in a Gravity Field                       in a Magnetic Field



                           ω = γ B0
                                      http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr2.htm#pulse
Continuous wave (CW) NMR




                           http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Chemical shift




                 http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Chemical shift




                 http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Chemical shift




                 http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Chemical shift




                 δ = (f - fref)/fref
Pulsed Fourier Transform (FT) NMR
              RF




                                    http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Fourier transform (FT) NMR




                             http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Fourier transform (FT) NMR




                             http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
Proton 1D NMR spectrum of a protein




                                 http://www.cryst.bbk.ac.uk/PPS2/projects/schirra/html/2dnmr.htm#noesy
Proton 1D NMR spectrum of a DNA fragment
A 2D NMR spectrum




                    http://www.bruker-nmr.de/guide/
Nuclear Overhauser Effect Spectroscopy (NOESY)
provides information on proton-proton distances




   NOE ~ 1/r6




                                   http://www.cryst.bbk.ac.uk/PPS2/projects/schirra/images/2dnosy_1.gif
Information obtained by NMR




      • Distances between nuclei

      • Angles between bonds

      • Motions in solution
Today’s lesson:

•   Molecules in solution; Brownian motion
•   X-ray
•   Scattering and diffraction
•   Neutron scattering
•   Electron Microscopy (EM)
•   Nuclear Magnetic Resonance (NMR) spectroscopy

Weitere ähnliche Inhalte

Was ist angesagt? (20)

NMR Spectroscopy Lecture
NMR Spectroscopy LectureNMR Spectroscopy Lecture
NMR Spectroscopy Lecture
 
Nmr spectroscopy
Nmr spectroscopyNmr spectroscopy
Nmr spectroscopy
 
Nuclear magnetic resonance final
Nuclear magnetic resonance finalNuclear magnetic resonance final
Nuclear magnetic resonance final
 
3. b.pharm nuclearmagneticresonance jntu pharmacy
3. b.pharm nuclearmagneticresonance jntu pharmacy3. b.pharm nuclearmagneticresonance jntu pharmacy
3. b.pharm nuclearmagneticresonance jntu pharmacy
 
6 b lipase nmr
6 b lipase nmr6 b lipase nmr
6 b lipase nmr
 
Nmr nuclear magnetic resonance spectroscopy
Nmr  nuclear magnetic resonance spectroscopyNmr  nuclear magnetic resonance spectroscopy
Nmr nuclear magnetic resonance spectroscopy
 
Nuclear magnetic resonance proton nmr
Nuclear magnetic resonance   proton nmrNuclear magnetic resonance   proton nmr
Nuclear magnetic resonance proton nmr
 
085 introduction to nuclear magnetic resonance
085 introduction to nuclear magnetic resonance085 introduction to nuclear magnetic resonance
085 introduction to nuclear magnetic resonance
 
Nmr good
Nmr goodNmr good
Nmr good
 
Nuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance SpectroscopyNuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance Spectroscopy
 
proton NMR introduction and instrumentation
proton NMR introduction and instrumentationproton NMR introduction and instrumentation
proton NMR introduction and instrumentation
 
Two dimensional nmr
Two dimensional nmrTwo dimensional nmr
Two dimensional nmr
 
Solid State NMR
Solid State NMRSolid State NMR
Solid State NMR
 
Non Rigid Rotator
Non Rigid RotatorNon Rigid Rotator
Non Rigid Rotator
 
Nmr
NmrNmr
Nmr
 
Proton nmr by Bhushan Chavan
Proton nmr by Bhushan ChavanProton nmr by Bhushan Chavan
Proton nmr by Bhushan Chavan
 
Nmr soni
Nmr soniNmr soni
Nmr soni
 
NMR
NMRNMR
NMR
 
NMR
NMRNMR
NMR
 
NMR SPECTROSCOPY
NMR SPECTROSCOPYNMR SPECTROSCOPY
NMR SPECTROSCOPY
 

Andere mochten auch

NMR assignments and structure determination
NMR assignments and structure determinationNMR assignments and structure determination
NMR assignments and structure determinationChristiane Riedinger
 
NUCLEAR MAGNETIC RESONANCE
NUCLEAR MAGNETIC RESONANCENUCLEAR MAGNETIC RESONANCE
NUCLEAR MAGNETIC RESONANCESandeep Gupta
 
Proton nmr spectroscopy present
Proton nmr spectroscopy presentProton nmr spectroscopy present
Proton nmr spectroscopy presentLeeya Najwa
 
X ray photoelectron spectroscopy
X ray photoelectron spectroscopyX ray photoelectron spectroscopy
X ray photoelectron spectroscopyZubair Aslam
 
NMR Spectroscopy
NMR SpectroscopyNMR Spectroscopy
NMR Spectroscopytabirsir
 
Nuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance SpectroscopyNuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance SpectroscopyASUTOSH MOHAPATRA
 
Xps (x ray photoelectron spectroscopy)
Xps (x ray photoelectron spectroscopy)Xps (x ray photoelectron spectroscopy)
Xps (x ray photoelectron spectroscopy)Zaahir Salam
 

Andere mochten auch (11)

NMR assignments and structure determination
NMR assignments and structure determinationNMR assignments and structure determination
NMR assignments and structure determination
 
Raman Effect
Raman EffectRaman Effect
Raman Effect
 
NUCLEAR MAGNETIC RESONANCE
NUCLEAR MAGNETIC RESONANCENUCLEAR MAGNETIC RESONANCE
NUCLEAR MAGNETIC RESONANCE
 
Proton nmr spectroscopy present
Proton nmr spectroscopy presentProton nmr spectroscopy present
Proton nmr spectroscopy present
 
X ray photoelectron spectroscopy
X ray photoelectron spectroscopyX ray photoelectron spectroscopy
X ray photoelectron spectroscopy
 
nmr spectroscopy
nmr spectroscopynmr spectroscopy
nmr spectroscopy
 
Nmr ppt.
Nmr ppt.Nmr ppt.
Nmr ppt.
 
NMR Spectroscopy
NMR SpectroscopyNMR Spectroscopy
NMR Spectroscopy
 
Nuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance SpectroscopyNuclear Magnetic Resonance Spectroscopy
Nuclear Magnetic Resonance Spectroscopy
 
Xps (x ray photoelectron spectroscopy)
Xps (x ray photoelectron spectroscopy)Xps (x ray photoelectron spectroscopy)
Xps (x ray photoelectron spectroscopy)
 
Nmr spectroscopy
Nmr spectroscopyNmr spectroscopy
Nmr spectroscopy
 

Ähnlich wie NMR Spectroscopy

Quntum Theory powerpoint
Quntum Theory powerpointQuntum Theory powerpoint
Quntum Theory powerpointKris Ann Ferrer
 
Nuclear Basics Summer 2010
Nuclear Basics Summer 2010Nuclear Basics Summer 2010
Nuclear Basics Summer 2010Roppon Picha
 
Particle in One-Dimensional Infinite potential well (box)
Particle in One-Dimensional Infinite potential well (box)Particle in One-Dimensional Infinite potential well (box)
Particle in One-Dimensional Infinite potential well (box)DrMangilalChoudhary
 
Structure of atom
Structure of atom Structure of atom
Structure of atom sahil9100
 
Dsp U Lec10 DFT And FFT
Dsp U   Lec10  DFT And  FFTDsp U   Lec10  DFT And  FFT
Dsp U Lec10 DFT And FFTtaha25
 
Particle in a box- Application of Schrodinger wave equation
Particle in a box- Application of Schrodinger wave equationParticle in a box- Application of Schrodinger wave equation
Particle in a box- Application of Schrodinger wave equationRawat DA Greatt
 
Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationColm Connaughton
 
Atomic Structure ( sri chaitanya).pdf
Atomic Structure ( sri chaitanya).pdfAtomic Structure ( sri chaitanya).pdf
Atomic Structure ( sri chaitanya).pdfssuseree13e2
 
Statics and dynamics of nanoscale structures
Statics and dynamics of nanoscale structures Statics and dynamics of nanoscale structures
Statics and dynamics of nanoscale structures University of Glasgow
 
R. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsR. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsSEENET-MTP
 
Chapter 1 pt 2
Chapter 1 pt 2Chapter 1 pt 2
Chapter 1 pt 2SinYK
 
How to "see" a neutrino?
How to "see" a neutrino?How to "see" a neutrino?
How to "see" a neutrino?Alan Poon
 

Ähnlich wie NMR Spectroscopy (20)

Quntum Theory powerpoint
Quntum Theory powerpointQuntum Theory powerpoint
Quntum Theory powerpoint
 
Nuclear Basics Summer 2010
Nuclear Basics Summer 2010Nuclear Basics Summer 2010
Nuclear Basics Summer 2010
 
Hydrogen atom
Hydrogen atomHydrogen atom
Hydrogen atom
 
Particle in One-Dimensional Infinite potential well (box)
Particle in One-Dimensional Infinite potential well (box)Particle in One-Dimensional Infinite potential well (box)
Particle in One-Dimensional Infinite potential well (box)
 
Structure of atom
Structure of atom Structure of atom
Structure of atom
 
Dsp U Lec10 DFT And FFT
Dsp U   Lec10  DFT And  FFTDsp U   Lec10  DFT And  FFT
Dsp U Lec10 DFT And FFT
 
Particle in a box- Application of Schrodinger wave equation
Particle in a box- Application of Schrodinger wave equationParticle in a box- Application of Schrodinger wave equation
Particle in a box- Application of Schrodinger wave equation
 
Fluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregationFluctuations and rare events in stochastic aggregation
Fluctuations and rare events in stochastic aggregation
 
UNIT 4_BCH-106.pptx
UNIT 4_BCH-106.pptxUNIT 4_BCH-106.pptx
UNIT 4_BCH-106.pptx
 
Part i
Part iPart i
Part i
 
PhotonModel
PhotonModelPhotonModel
PhotonModel
 
Atomic Structure ( sri chaitanya).pdf
Atomic Structure ( sri chaitanya).pdfAtomic Structure ( sri chaitanya).pdf
Atomic Structure ( sri chaitanya).pdf
 
Statics and dynamics of nanoscale structures
Statics and dynamics of nanoscale structures Statics and dynamics of nanoscale structures
Statics and dynamics of nanoscale structures
 
R. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical ObservationsR. Jimenez - Fundamental Physics from Astronomical Observations
R. Jimenez - Fundamental Physics from Astronomical Observations
 
NANO266 - Lecture 7 - QM Modeling of Periodic Structures
NANO266 - Lecture 7 - QM Modeling of Periodic StructuresNANO266 - Lecture 7 - QM Modeling of Periodic Structures
NANO266 - Lecture 7 - QM Modeling of Periodic Structures
 
Quantum chaos of generic systems - Marko Robnik
Quantum chaos of generic systems - Marko RobnikQuantum chaos of generic systems - Marko Robnik
Quantum chaos of generic systems - Marko Robnik
 
Atomic structure
Atomic structureAtomic structure
Atomic structure
 
Gravity tests with neutrons
Gravity tests with neutronsGravity tests with neutrons
Gravity tests with neutrons
 
Chapter 1 pt 2
Chapter 1 pt 2Chapter 1 pt 2
Chapter 1 pt 2
 
How to "see" a neutrino?
How to "see" a neutrino?How to "see" a neutrino?
How to "see" a neutrino?
 

Mehr von clayqn88

Hoa Phan Tich[Chemvn.Net]
Hoa Phan Tich[Chemvn.Net]Hoa Phan Tich[Chemvn.Net]
Hoa Phan Tich[Chemvn.Net]clayqn88
 
Bai Giang Dai Hoc Mon Vo Co
Bai Giang Dai Hoc Mon Vo CoBai Giang Dai Hoc Mon Vo Co
Bai Giang Dai Hoc Mon Vo Coclayqn88
 
The Chemistry Of Polymers
The Chemistry Of PolymersThe Chemistry Of Polymers
The Chemistry Of Polymersclayqn88
 
Chemical Equilibrium
Chemical EquilibriumChemical Equilibrium
Chemical Equilibriumclayqn88
 
Free Radical
Free RadicalFree Radical
Free Radicalclayqn88
 
Dung Cu Dung Trong Hoa Phan Tich
Dung Cu Dung Trong Hoa Phan TichDung Cu Dung Trong Hoa Phan Tich
Dung Cu Dung Trong Hoa Phan Tichclayqn88
 
Bai Giang Dai Hoc Hoa Vo Co
Bai Giang Dai Hoc Hoa Vo CoBai Giang Dai Hoc Hoa Vo Co
Bai Giang Dai Hoc Hoa Vo Coclayqn88
 
Hoa Dai Cuong
Hoa Dai CuongHoa Dai Cuong
Hoa Dai Cuongclayqn88
 

Mehr von clayqn88 (8)

Hoa Phan Tich[Chemvn.Net]
Hoa Phan Tich[Chemvn.Net]Hoa Phan Tich[Chemvn.Net]
Hoa Phan Tich[Chemvn.Net]
 
Bai Giang Dai Hoc Mon Vo Co
Bai Giang Dai Hoc Mon Vo CoBai Giang Dai Hoc Mon Vo Co
Bai Giang Dai Hoc Mon Vo Co
 
The Chemistry Of Polymers
The Chemistry Of PolymersThe Chemistry Of Polymers
The Chemistry Of Polymers
 
Chemical Equilibrium
Chemical EquilibriumChemical Equilibrium
Chemical Equilibrium
 
Free Radical
Free RadicalFree Radical
Free Radical
 
Dung Cu Dung Trong Hoa Phan Tich
Dung Cu Dung Trong Hoa Phan TichDung Cu Dung Trong Hoa Phan Tich
Dung Cu Dung Trong Hoa Phan Tich
 
Bai Giang Dai Hoc Hoa Vo Co
Bai Giang Dai Hoc Hoa Vo CoBai Giang Dai Hoc Hoa Vo Co
Bai Giang Dai Hoc Hoa Vo Co
 
Hoa Dai Cuong
Hoa Dai CuongHoa Dai Cuong
Hoa Dai Cuong
 

Kürzlich hochgeladen

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilV3cube
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsJoaquim Jorge
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesBoston Institute of Analytics
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
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
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdflior mazor
 
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
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)wesley chun
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Drew Madelung
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024Rafal Los
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
[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
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024The Digital Insurer
 
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
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024The Digital Insurer
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProduct Anonymous
 
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
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processorsdebabhi2
 

Kürzlich hochgeladen (20)

Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of BrazilDeveloping An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and MythsArtificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
 
HTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation StrategiesHTML Injection Attacks: Impact and Mitigation Strategies
HTML Injection Attacks: Impact and Mitigation Strategies
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
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?
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
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...
 
Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)Powerful Google developer tools for immediate impact! (2023-24 C)
Powerful Google developer tools for immediate impact! (2023-24 C)
 
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
[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
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
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
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)A Domino Admins Adventures (Engage 2024)
A Domino Admins Adventures (Engage 2024)
 
Exploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone ProcessorsExploring the Future Potential of AI-Enabled Smartphone Processors
Exploring the Future Potential of AI-Enabled Smartphone Processors
 

NMR Spectroscopy

  • 1. Physical techniques to study molecular structure
  • 2. Sample Radiation Detection X-ray n e- RF
  • 3. About samples of biomolecules Example: How many protein molecules are there in the solution sample (volume, 100 µl) at the concentration of 0.1 mM?
  • 4. Brownian motion 1 µm particles
  • 5. History of Brownian motion 1785: Jan Ingenhousz observed irregular motion of coal dust particles in alcohol. 1827: Robert Brown watched pollen particles performing irregular motion in water using a microscope. He repeated his experiments with dust to rule out that the particles were alive. 1905: Einstein provided the first physical theory to explain Brownian motion. 1908: Jean Perrin did experiments to verify Einstein’s predictions. The measurements allowed Perrin to give the first estimate of the dimensions of water molecules. Jean Perrin won the Nobel Prize of Physics in 1926 for this work.
  • 6. y Random walk       R = qe1 + qe2 + qe3 + ... + qeN where ei are unit vectors  For random walk we require that R = 0  Example (assume only two steps)  qe2  qe1 x   2 ( 2    ) (   ) (   R 2 = ( qe1 + qe 2 ) = q 2 e 2 + e12 + 2e 2 ⋅ e1 = q 2 1 + 1 + 2e 2 ⋅ e1 = q 2 2 + 2e 2 ⋅ e1 ) Average over M experiments 2 1 m 2 1  M 2     2  q2   R = ∑ R k = M ∑ q ( e1 + e2 + e3 + ... + e N )  = M (MN + ∑ ei ⋅e j ) M k =1  k =1  i≠ j t If we assume that each step is random and takes a time τ and the total time is t, then N = τ 2 t 2 q 2 2q 2 q 2 We may write R = Nq = q = 4Dt, where D = 2 = x = x where q 2 = q 2 + q 2 = 2q 2 x y x τ 4τ 4τ 2τ Each step in the x and y directions are random, but otherwise equal, such that qx2=qy2
  • 7. Random walk MSD y x t 2 q2 Mean Square Deviation = MSD = R = 4Dt, where D = x 2τ 1D: MSD=2Dt 2D: MSD=4Dt try to show this yourself! 3D: MSD=6Dt
  • 8. Fick’s law of diffusion Adolf Fick (1855): J dC J = −D A dx J= flux of particles (number of particles per area and time incident on a cross-section) [m-2s-1] D= diffusion coefficient [m2s-1] C=concentration of particles [m-3] (sometimes n is used instead of C to represent concentration )
  • 9. Random walk is due to thermal fluctuations! v ma = 0 = −fv + R(t) f = 6πrη for a spherical particle where r = radius of particles R(t) is a random force due to collision with water molecules fv R(t) k BT D= (Einstein relationship, 1905) f
  • 10. Diffusion coefficients in different materials k BT D= (Einstein relationship, 1905) f State of matter D [m2/s] Solid 10-13 Liquid 10-9 Gas 10-5
  • 11. Radiation X-ray n e- RF
  • 12. Photons and Electromagnetic Waves • Light has a dual nature. It exhibits both wave and particle characteristics – Applies to all electromagnetic radiation
  • 13. Particle nature of light • Light consists of tiny packets of energy, called photons • The photon’s energy is: E = h f = h c /λ h = 6.626 x 10-34 J s (Planck’s constant)
  • 14.
  • 15. Wave Properties of Particles • In 1924, Louis de Broglie postulated that because photons have wave and particle characteristics, perhaps all forms of matter have both properties
  • 16. de Broglie Wavelength and Frequency • The de Broglie wavelength of a particle is h h λ = = p mv • The frequency of matter waves is E ƒ= h
  • 17. Dual Nature of Matter • The de Broglie equations show the dual nature of matter • Matter concepts – Energy and momentum • Wave concepts – Wavelength and frequency
  • 18. X-Rays • Electromagnetic radiation with short wavelengths – Wavelengths less than for ultraviolet – Wavelengths are typically about 0.1 nm – X-rays have the ability to penetrate most materials with relative ease • Discovered and named by Röntgen in 1895
  • 19. Production of X-rays • X-rays are produced when high-speed electrons are suddenly slowed down
  • 21. Production of X-rays in synchrotron European synchrotron Grenoble, France
  • 22.
  • 23. European synchrotron Electron energy: 6 Gev
  • 24. European synchrotron Bending magnets Undulators
  • 26. The three largest and most powerful synchrotrons in the world APS, USA ESRF, Europe-France Spring-8, Japan
  • 27. Scattering Analogical synthesis Image Object Lens Direct imaging method (optical or electronic)
  • 28. Scattering Synthesis by computation (FT) Image Object Data collection Indirect imaging method (diffraction X-ray, neutrons, e-)
  • 29. Scattering of a plane monochrome wave Incident wave Scattered wave Janin & Delepierre
  • 30. A molecule represented by electron density
  • 31. Scattering by an object of finite volume Scattered beam Incident beam Janin & Delepierre
  • 32. Schematic for X-ray Diffraction • The diffracted radiation is very intense in certain directions – These directions correspond to constructive interference from waves reflected from the layers of the crystal
  • 33. Diffraction Grating • The condition for maxima is d sin θbright = m λ • m = 0, 1, 2, …
  • 34. X-ray Diffraction of DNA Photo 51 http://en.wikipedia.org/wiki/Image:Photo_51.jpg
  • 35. Planes in crystal lattice
  • 36. Bragg’s Law • The beam reflected from the lower surface travels farther than the one reflected from the upper surface • Bragg’s Law gives the conditions for constructive interference 2 d sinθ = mλ; m = 1, 2, 3…
  • 38. X-ray diffraction pattern of a protein crystal http://en.wikipedia.org/wiki/X-ray_crystallography
  • 39. Electron density of a protein
  • 40. Scattering and diffraction of neutrons Institut Laue-Langevin, Grenoble, France
  • 41. Why use neutrons? Electrically Neutral Microscopically Magnetic Ångstrom wavelengths Energies of millielectronvolts
  • 42. The Electron Microscope • The electron microscope depends on the wave characteristics of electrons • Microscopes can only resolve details that are slightly smaller than the wavelength of the radiation used to illuminate the object • The electrons can be accelerated to high energies and have small wavelengths
  • 43. Nuclear Magnetic Resonance (NMR) spectroscopy Superconducting magnets 21.5 T Earth’s magnetic field 5 x 10-5 T http://en.wikipedia.org/wiki/Nuclear_magnetic_resonance
  • 44. Spin and magnetic moment • Nuclei can have integral spins (e.g. I = 1, 2, 3 ....): 2H, 6Li, 14N fractional spins (e.g. I = 1/2, 3/2, 5/2 ....): 1H, 15N or no spin (I = 0): 12C, 16O • Isotopes of particular interest for biomolecular research are 1 H, 13C, 15N and 31P, which have I = 1/2. • Spins are associated with magnetic moments by: m = γħ I
  • 45. Larmor frequency A Spinning Gyroscope A Spinning Charge in a Gravity Field in a Magnetic Field ω = γ B0 http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr2.htm#pulse
  • 46. Continuous wave (CW) NMR http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 47. Chemical shift http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 48. Chemical shift http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 49. Chemical shift http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 50. Chemical shift δ = (f - fref)/fref
  • 51. Pulsed Fourier Transform (FT) NMR RF http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 52. Fourier transform (FT) NMR http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 53. Fourier transform (FT) NMR http://www.cem.msu.edu/~reusch/VirtualText/Spectrpy/nmr/nmr1.htm
  • 54. Proton 1D NMR spectrum of a protein http://www.cryst.bbk.ac.uk/PPS2/projects/schirra/html/2dnmr.htm#noesy
  • 55. Proton 1D NMR spectrum of a DNA fragment
  • 56. A 2D NMR spectrum http://www.bruker-nmr.de/guide/
  • 57. Nuclear Overhauser Effect Spectroscopy (NOESY) provides information on proton-proton distances NOE ~ 1/r6 http://www.cryst.bbk.ac.uk/PPS2/projects/schirra/images/2dnosy_1.gif
  • 58. Information obtained by NMR • Distances between nuclei • Angles between bonds • Motions in solution
  • 59. Today’s lesson: • Molecules in solution; Brownian motion • X-ray • Scattering and diffraction • Neutron scattering • Electron Microscopy (EM) • Nuclear Magnetic Resonance (NMR) spectroscopy