molecular many electron systems: electronic & nuclear movement … · 2017. 5. 11. · optical...

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IPC Friedrich-Schiller-Universität Jena 1 Hamiltonian for a polyatomic molecule treated as Coulomb system with N nuclei (coordinates {R }) and n electrons (coordinates {r i }) : In atomic units i.e. ~ = q e = m e = 1 Kinetic energy operator for nuclei Kinetic energy operator for electrons Nuclei-electron interaction operator Electron-electron interaction operator Nuclei-nuclei interaction operator Molecular many electron systems: electronic & nuclear movement

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  • IPC Friedrich-Schiller-Universität Jena 1

    Hamiltonian for a polyatomic molecule treated as Coulomb system with N nuclei

    (coordinates {R}) and n electrons (coordinates {ri}) :

    In atomic units i.e. ~ = qe = me = 1

    Kinetic energy operator for nuclei

    Kinetic energy operator for electrons

    Nuclei-electron interaction operator

    Electron-electron interaction operator

    Nuclei-nuclei interaction operator

    Molecular many electron systems: electronic & nuclear movement

  • IPC Friedrich-Schiller-Universität Jena 2

    (3N + 3n)-dimensional problem:

    Born-Oppenheimer Approximation: separate treatment of electronic and nuclear

    motion allows the total wavefunction of a molecule to be broken into its electronic

    and nuclear components:

    Decomposition of Hamiltonian:

    = adiabatic potential energy surfaces

    Schrödinger equation for complete problem:

    Molecular many electron systems: electronic & nuclear movement

    Does not depend on {ri} =

    constant for given nuclear

    geometry

  • IPC Friedrich-Schiller-Universität Jena 3

    Multiplikation with and integration over electron coordinates

    Schrödinger equation for nuclear motion:

    C describe coupling between nuclear and electron motion thus the resulting

    coupling of electronic states (non-adiabatic coupling)

    Molecular many electron systems: electronic & nuclear movement

  • IPC Friedrich-Schiller-Universität Jena 4

    Born-Oppenheimer approximation neglects coupling between nuclear and electron

    motion

    C = 0

    Electrons adjust immediately or adiabatic to any nuclear motion:

    displays the potential for nuclear motion

    Within the Born-Oppenheimer approximation the nuclear dynamic is treated

    in a way that the nuclear motion is described on adiabatic potential energy

    surfaces

    Molecular many electron systems: electronic & nuclear movement

  • IPC Friedrich-Schiller-Universität Jena 5

    Molecular many electron systems: electronic & nuclear movement

  • IPC Friedrich-Schiller-Universität Jena 6

    Description of quantized molecular electronic energy states by many-electron

    wavefunctions:

    Approximation of many electron wavefunctions as Slater determinant

    (antisymmetrized product) of one electron wavefunctions called molecular orbitals

    (MOs):

    Electronic states can be approximated by a single electronic configuration which is

    commonly displayed by a MO diagram

    MO

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 7

    In a MO diagram (representing a single electronic configuration) the highest occupied

    MO is called HOMO and the lowest unoccupied MO is called LUMO

    MOs are represented as linear combination of atomic orbitals (AOs)

    Bonding MOs result when AOs enhance each other in the nuclei region

    Antibonding MOs are formed when AOs cancel each other in the nuclei region

    Classification of MOs:

    s-orbitals: bonding orbitals which are symmetric with respect to rotation around

    the molecular axis

    s*-orbitals: antibonding orbitals with nodal plane within molecular axis

    p-orbital: results from overlap of two lobes of one AO with the two lobes of

    another AO

    Nonbonding MOs contain lone pairs of electrons which do not participate in bonding

    atoms together since they are unshared

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 8

    Molecular electronic transitions

    UV-Vis-Absorption

    Molecular electronic transitions take place when valence electrons in a molecule

    are excited from one energy level to a higher energy level.

    Electrons residing in the HOMO of a sigma bond can get excited to the LUMO of

    that bond. This process is written down as a σ → σ* transition.

    Likewise promotion of an electron from a π-bonding orbital to an antibonding π

    orbital* is denoted as a π → π* transition.

    Auxochromes with free electron pairs denoted as n have their own transitions, as

    do aromatic pi bond transitions.

    The following molecular electronic transitions exist:

    σ → σ* π → π* n → σ* n → π* aromatic π → aromatic π*

    p,p* np* ns*

    (C=C, C=O) (C=O, C=N, C=S) (–Hal, -S-, -Se- etc.)

  • IPC Friedrich-Schiller-Universität Jena 9

    Molecular orbital or electronic configuration (z.B. Formaldehyd)

    Energetic order of transitions:

    p* ← n < p* ← p < s* ← n < p* ← s < s* ← s

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 10

    spin multiplicity

    • Total spin quantum number S = ∑ si

    with si = +½ or - ½

    • Multiplicity M = 2S + 1

    • M = 1: Singulet

    • M = 2: Dublet

    • M = 3: Triplet

    HOMO

    LUMO

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 11

    Molecular

    orbital

    Electronic

    configuration

    Electronic

    states

    UV/Vis-absorption spectrum

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 12

    J = 0

    J = 1

    J = 2

    J = 3

    J = 4

    Ro

    tatio

    na

    l le

    ve

    ls

    v = 0

    v = 1

    v = 0

    v = 1

    v = 3

    v = 4

    Vib

    ratio

    na

    l le

    ve

    ls

    Excitation [

    10

    -15 s

    ]

    Internal conversion

    [10-14 s]

    Fluorescence

    [10-9 s]

    Intersystem crossing

    Phosphorescence

    [10-3 s]

    S0

    S1

    S2

    S3

    S4

    T1

    Tn

    IR- & NIR-

    spectroscopy

    UV-VIS-spectroscopy Microwave-

    spectroscopy

    Molecular many electron systems: electronic & nuclear movement

    Jablonski-Scheme

  • IPC Friedrich-Schiller-Universität Jena 13

    Principle to interpret electronic absorption spectra based on the probability distrubtion

    ||2 of the vibrational levels within the electronic states.

    The basis of this principle is that

    electronic transitions happen on a

    timescale (~10-16s) that is

    significantly smaller than the

    vibrational period (~10-13s) of a

    given molecule and therefore the

    distance at which they happen can

    be assumed to be fixed during the

    transition.

    Franck-Condon principle

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 14

    Transition dipole moment for a transition between the states |i and |f:

    For excitation follows:

    Electronic transition dipole moment is developed in a rapidly converging Taylor

    expansion about nuclear displacements from the equilibrium position

    Condon approximation neglects higher order terms i.e. electronic transition dipole

    moment is assumed to be constant i.e. nuclear coordinates correspond to

    equilibrium geometry

    Condon approximation:

    Transition dipole moment:

    B.O.-approximation

    Franck-Condon principle

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 15

    = degree of redistribution of electron density during transition

    = degree of similarity of nuclear configuration between vibrational

    wavefunctions of initial and final states.

    Intensity of a vibronic transition is direct proportional to the square modulus of the

    overlap integral between vibrational wavefunctions of the two electronic states =

    Franck-Condon-Factor:

    Franck-Condon principle

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 16

    |i

    |f |i

    |f

    Franck-Condon principle

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 17

    Transition metal complexes

    A biologically very important group of metal complex bonds are the porphyrin

    pigments such as:

    Hemoglobin (pigment of the blood, central ion Fe2+)

    Cytochromes of respiratory chain

    Chlorophyll (green molecules in leaves, central atom Mg)

    UV-Vis-Absorption

    In these molecules the octahedron

    structure with a central atom is

    incorporated into particular proteins

    The four ligand positions of the base of

    the pyramid are occupied by the lone

    electron pairs of nitrogen atoms of the

    plane porphyrin ring system

    The two corners of the pyramid are

    occupied by specific amino acids

    (histidine) and/or by an oxygen molecule

    (hemoglobin)

    Heme-group

  • IPC Friedrich-Schiller-Universität Jena 18

    Cytochrome c:

    Pyramid corners of heme unit are occupied by N-atom of a histidine residue and

    S-atom of a mezhionine residue

    Redox change of cytochromes predominatly occurs at the central iron atom

    [(Fe2+) ↔ (Fe3+)]

    -Peaks

    = sensitive for redox change

    (analysis of mitochondria)

    Transition metal complexes

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 19

    Transition metal complexes

    Hemoglobin (iron is always found as Fe2+)

    Arterial oxygen-loaded blood = light red

    Blood in veines free of oxygen = deep red

    Desoxy Hemoglobin

    (Fe2+ / 92 pm / high spin)

    End-on coordination of O2 (Fe2+ / 75 pm / low spin)

    0,4 A °

    B

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 20

    Fundamental terms:

    Polarimetry, optical rotation, circular birefringence:

    turning of the plane of linearly polarized light

    Optically active molecules exhibit different refractive indices for right nR and

    left nL polarized light nR ≠ nL

    Optical rotatory dispersion (ORD):

    Wavelength dependency of rotation

    Allows determination of absolute configuration of chiral molecules

    Circular dichroism:

    linearly polarized light is transformed into elliptically polarized light upon traveling

    through matter

    Different absorption coefficients for left and right circular polarized light

    (eR ≠ eL ).

    Polarimetry & Optical rotatory dispersion & Circular dichroism

    UV-Vis-Absorption

  • IPC Friedrich-Schiller-Universität Jena 21

    Polarimetry

    What happens if light interacts with chiral molecules?

    Enantiomeric molecules interact differently with circular polarized light.

    Polarizability depends on direction of rotation of incoming circular polarized light

    Optically active substances exhibit different refractive indices for right nR and

    left nL polarized light nR ≠ nL

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 22

    Polarimetry:

    Incoming linear polarized light beam experiences different refractive indices for its

    left and right circular components.

    Phasing of left and right rotating component of exiting light beam is shifted while

    the absolute E-field vectors do not change

    Vector addition leads to linear polarized light with rotated polarization plane

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 23

    Polarimetry:

    For follows:

    Na-D line l = 589 nm

    2-Butanol = 11.2° (Messwert)

    T = 20°C

    l = 1dm

    Difference is rather small!

    Due to the different refractive indices a phase difference d = jL –jR builds up in the active medium which is proportional to the path

    length l.

    When exiting the medium linear polarized light where the oscillation

    plane is rotated by d/2 arises

    It follows:

    l

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 24

    Optical rotatory dispersion(ORD)

    ORD measures molar rotation [F] as function of the wavelength!

    If the substance to be investigated has no

    electronic absorption within the

    investigated spectral region the following

    ORD spectra are obtained

    Reason:

    refractive indices for left and right

    polarized light change differently with

    wavelength (rotatory dispersion is

    proportional to refractive index

    difference).

    ORD-spectra of 17ß- and 17-

    hydroxy-5-androstan

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 25

    Optical rotatory dispersion(ORD)

    Refractive indices for left and right polarized light exhibit anomalous dispersion in

    the range of an absorption band

    Cotton effect

    Positiv negativ Cotton effect

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 26

    Circular Dichroism (CD)

    Enantiomeric molecules exhibit besides different refractive indices for left and right

    circular polarized light also different absorption coefficients:

    It follows:

    For pure ORD bands left and right circular polarized components of linear polarized

    light experience only different retardation when passing through the sample while for a

    CD band also one component gets more absorbed than the other

    Exiting light is elliptically polarized.

    Circular Dichroism

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 27

    Circular Dichroism (CD)

    [10-1 × deg × cm2 × g-1]

    [10 × deg × cm2 × mol-1]

    The ratio between short and the long elliptical axis is defined as tangent of an

    angle , the so called ellipticity (tan = b/a):

    a = ER + EL

    b = ER - EL

    The specific ellipticity is defined as:

    where 0bs is the experimentally determined

    ellipticity.

    The molar ellipticity is defined as:

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 28

    Circular Dichroismus (CD) Simple model:

    For an electronic transition to be CD active the following must be true:

    µe is the electronic transition dipole moment (corresponds to a linear displacement

    of electrons upon transition into an excited state)

    µm is the magnetic transition moment (corresponds a radial displacement of

    electrons upon excited state transition)

    Scalar product is characterized by a helical electron displacement.

    Depending on the chirality of the helix preferably more right or left circular

    polarized light will be absorbed, respectively.

    Electronic transition Magnetic transition Optical activity

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 29

    Circular Dichroism (CD)

    Application field:

    b-sheet

    random coil

    -helix

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 30

    Circular Dichroism (CD)

    Application field:

    Typical reference CD spectra:

    Poly-L-Lysine in different conformations:

    -Helix, b-sheet and random coil.

    Temperature

    dependent CD

    spectra of insuline:

    For increasing

    temperature the

    molecule changes

    form -helix into the

    denaturated random

    coil form with ß-sheet

    contributions.

    UV-Vis-Absorption

    Polarimetry & Optical rotatory dispersion & Circular dichroism

  • IPC Friedrich-Schiller-Universität Jena 31

    Vibrational microspectroscopy

    Polyatomic molecules – Normal modes

    Number of vibrational degrees of freedom:

    For a non-linear molecule consisting of N atoms

    there are 3N – 6 vibrational degrees of freedom =

    Normal modes.

    Normal modes can be excited independently (they

    are decoupled).

    Every normal mode q is a harmonic oscillator

    independent of the rest of the molecule:

    q = effective mass of the vibration = measure of the mass,

    which is moved during the vibration. amplitude, x

    Possib

    le e

    nerg

    y levels

    , E

    qv Potential energy

    V

    0

  • IPC Friedrich-Schiller-Universität Jena 32

    Vibrational microspectroscopy

    Polyatomic molecules – Normal modes

    Example Water: 3 normal modes

    d (1595 cm-1) as (3756 cm-1) s (3652 cm

    -1)

    Adenine

    ar ring breathing

    Thymine

    (C=O) ar

  • IPC Friedrich-Schiller-Universität Jena 33

    Vibrational microspectroscopy

    Polyatomic molecules – band assignment

  • IPC Friedrich-Schiller-Universität Jena 34

    Raman vs. IR and NIR Absorption spectroscopy

    v = 1

    v = 0

    a(R-R eq )

    IR

    V

    v = 1

    v = 0

    a(R-R eq )

    V

    NIR

    IR Absorption NIR Absorption

    v = 1

    v = 0

    a(R-R eq )

    V

    Raman-Signal

    (Stokes)

    Raman scattering

    Vibrational microspectroscopy

  • IPC Friedrich-Schiller-Universität Jena 35

    Raman microspectroscopy

    Vibrational microspectroscopy

    Classical description

    Incident electromagnetic field: (1)

    Induced dipole moment: (2)

    (1) in (2): (3)

    Oscillating molecule: (4)

    Expansion of around q = 0:

    (5)

  • IPC Friedrich-Schiller-Universität Jena 36

    (5) in (3): (6)

    Anti-Stokes-Raman-Streeung

    Rayleigh-Streuung Stokes-Raman-Streuung

    Vibrational microspectroscopy

    Raman microspectroscopy

    Classical description

    Trigonometric transformation:

    (7)

  • IPC Friedrich-Schiller-Universität Jena 38

    Vibrational microspectroscopy

    Raman microspectroscopy – quantum mechanical description

    v = 0

    v = 1

    laser – vib laser + vib

    virtual states

    v = 0

    v = 1

    v = 2

    v = 3

    vibrational

    states

    Rayleigh scattering

    Stokes-Raman

    scattering

    Anti-Stokes-Raman scattering

  • IPC Friedrich-Schiller-Universität Jena 40

    Vibrational microspectroscopy

    Raman microspectroscopy

    3500 3000 2500 2000 1500 1000 5000

    5000

    10000

    15000

    20000

    25000

    30000

    wavenumber / cm-1

    Ra

    ma

    n in

    ten

    sity / a

    rb. u

    .

    (C=C)

    (=C-H)

    s(CH2)

    s(CH3)

    as(CH2)

    s(CH)

    as(CH)

    as(CH3)

    d(CH3/CH2)

    Pyridin – ring breathing

    N

    N

    C H 3

    H

    H

    H H

    H

    H

    H

    H H

    H

    H

    Pyrrolidin – ring breathing

    Raman spectrum of nicotine

  • Vibrational microspectroscopy

    Raman microspectroscopy

    Raman spectra of cells

    3000 2500 2000 1500 1000

    (C

    -H)

    (C

    -C)

    (C

    -O)

    (C

    H2)

    (P

    O2

    - )sym

    d(C

    H2,C

    H3)

    d(C

    H2,C

    H3)

    d(C

    H2,C

    H3)

    s(O

    -H)

    (C

    =O

    )

    d(O

    -H)

    water

    protein

    lipide

    polysaccharide

    Ra

    ma

    n In

    ten

    sity

    Wavenumber / cm-1

    dna

    T A

    , G

    A. C

    , U

    C, U

    A, G

    A, G

    T

    Phe, T

    rp

    am

    ide III

    Tyr,

    Trp

    , H

    is

    Trp

    , am

    ide II

    Trpam

    ide I

    (C

    -C) s

    cele

    tal

    (C

    -C) s

    cele

    tal

    (C

    =C

    ) cis

    d(=

    CH

    ) in p

    lane

    (C

    H2)

    (C

    -H)

    (C

    -H)

    (C

    -H)

    endoplasmic

    reticulum

    nucleus

    ribosome

    mitochondria

    DNA/RNA

    polysaccharides

    lipids

    proteins

    water

  • Vibrational microspectroscopy

    Raman microspectroscopy

    Raman spectra of cells

    endoplasmic

    reticulum

    nucleus

    ribosome

    mitochondria

    DNA/RNA

    polysaccharides

    lipids

    proteins

    water

    3000 2500 2000 1500 1000 500

    Experimentell bacterial spectrum

    Simulated bacterial spectrum

    Linearcombination of the main components

    Ra

    ma

    n In

    ten

    sity

    Wavenumber / cm-1

    * *

    Quartz *

  • Raman microscopy

    Vibrational microspectroscopy

    Raman microspectroscopy

    CCD spectrometer

    laser

    microscope

    L

    BS1

    BS2

    M

    MO

    S

    N IF

    C

    W

    High specificity

    High spatial resolution ( < 1 µm)

    Minimal sample preparation

    All solvents can be applied

    (inclusive water)

  • 44

    Vibrational microspectroscopy

    Requirement of statistical models

    Biological samples

    Biopolymers (proteins, DNA, …)

    Similar vibrations

    Similar spectra

    Classification model

    Calculating a marker for groups

    0

    Classification models:

    Artificial neural networks

    Linear discriminant analysis

    Support vector machines

  • IPC Friedrich-Schiller-Universität Jena 45

    Vibrational microspectroscopy

    788

    DNA

    1005

    phe

    1575

    G, A

    1800 1600 1400 1200 1000 800 600

    Ra

    ma

    n-I

    nte

    nsity

    Wavenumber / cm-1

    Breast cancer cell lines (MCF-7, MCF-10A) as model system

    finger print region with chemical

    information

    Univariate analysis show the chemical

    information

  • IPC Friedrich-Schiller-Universität Jena 46

    Vibrational microspectroscopy

    Multivariate Analysis Strategy for Cancer Diagnosis

    In order to compare two eukaryotic cells it is necessary to focus on one compartment.

    The nucleus was chosen because major differences arise while tumorgenesis.

    All spectra which exhibit a higher DNA/RNA content were

    used to build a classification model for MCF-7/-10A.

    The decision malignant cell (MCF-7) / benign cell (MCF-

    10A) was possible with a accuracy of 99,11%.

  • Raman microscopy

    Raman spectroscopy of a colon tissue section. A, representative Raman spectra of connective tissue (1),

    muscle layer (2) and epithelial tissue (3). B, 79 x 79 Raman map with a step size of 2,5 µm. The colors of

    the Raman represent cluster memberships. C, the arrow in the photograph shows the position of a

    ganglion. E, enlarged ganglion from C.

    47

    Vibrational microspectroscopy

    Biomedical diagnostics

  • Special properties of Raman spectroscopy:

    Stokes ( = 0 – R) Raman scattering intensity:

    Increase of the

    laser intensity

    or by

    SERS

    Use of higher

    excitation frequency

    (shorter wavelengths)

    Excitation of the electronic

    resonance

    Resonance Raman scattering

    48

    Vibrational microspectroscopy

  • IPC Friedrich-Schiller-Universität Jena 49

    inte

    nsity

    400 450 500 550 600 650 700 750

    wavelength / nm

    Fluorescence Raman

    Resonance

    Raman

    Resonance Raman spectroscopy

    Vibrational microspectroscopy

  • IPC Friedrich-Schiller-Universität Jena 52

    Advantages of resonance Raman spectroscopy

    Resonance enhancement of the scattering intensities by a factor 106 – 108

    Improved S/N ratio

    Allows detection of low concentrated substances in solution

    Resonance-Raman spectra are dominated by modes characteristic for the

    geometrical changes of the molecules during the electronic transition

    Selective excitation (e.g. of chromophores pivotal for the biological activity of the

    molecule) possible due to variation of the excitation wavelength

    simplified spectrum, since less vibrations contribute to the spectrum; only

    Franck-Condon active modes are enhanced

    Vibrational microspectroscopy

    Resonance Raman spectroscopy

  • IPC Friedrich-Schiller-Universität Jena 53

    Excitation of different chromophors within a molecule

    Guanosin-5‘-Mono-Phosphat

    Vibrational microspectroscopy

    Resonance Raman spectroscopy

  • IPC Friedrich-Schiller-Universität Jena 54

    Vibrational microspectroscopy

    Resonance Raman spectroscopy

    3000 2500 2000 1500 1000

    wavenumber / cm-1

    AG

    -Vort

    rag

    NIR

    -bandassig

    nm

    ent

    grating: 300 l/mm

    Hole: 1000 m

    central spectral

    position: 2000 cm-1

    wavebumbercorrection:

    + 2cm-1

    IR spectrum

    Raman spectrum (532 nm)

    UV resonance Raman spectrum (244 nm)

    phospho

    die

    ste

    r

    (C

    C/C

    N)

    d(C

    H)

    Am

    id II

    Am

    id I

    satu

    rate

    d e

    ste

    rscarbohydrates

    proteins

    lipids

    Tyr

    A +

    G +

    Tyr

    T +

    AA

    + G

    G +

    AC

    G +

    AT

    yr+

    Trp

    T

    S. pseudovenezuela DSM 40212

    (C

    H)

    G+A

    Am

    id III

    DNA – components

    &

    Proteins

    Contribution from

    whole cell

    5 µm

    10

    20

    30

    40

    50

    20 30 40 50 60 70

    bulk

    single cell

    Applied vibrational spectroscopic methods Retrieved information

  • IPC Friedrich-Schiller-Universität Jena 55

    SERS = Surface Enhanced Raman Scattering

    Vibrational microspectroscopy

    Stokes ( = 0 – R) Raman scattering intensity:

    Increase of the

    laser intensity

    or by

    SERS

    Use of higher

    excitation frequency

    (shorter wavelengths)

    Excitation of the electronic

    resonance

    Resonance Raman scattering

  • IPC Friedrich-Schiller-Universität Jena 57

    Electromagnetic enhancement

    Localized surface plasmon resonance (LSPR)

    Plasmons can be described in the classical picture as an oscillation of free electron

    density against the fixed positive ions in a metal. Surface plasmons are surface

    electromagnetic waves (evanescent wave) that propagate in a direction parallel to

    the metal/dielectric (or metal/vacuum) interface.

    +

    -

    +

    -

    Electric field

    Electron cloud

    Gold sphere

    Vibrational microspectroscopy

    SERS = Surface Enhanced Raman Scattering

  • IPC Friedrich-Schiller-Universität Jena 58

    ELM

    EDIP

    ESC

    R

    Molecule = Etot

    mit Etot = E0 + ELM

    Observator

    EDIP

    EO

    Raman intensity IR

    IR ER2

    ER = EDIP + ESC

    Vibrational microspectroscopy

    SERS = Surface Enhanced Raman Scattering

    Electromagnetic enhancement

    Localized surface plasmon resonance (LSPR)

  • IPC Friedrich-Schiller-Universität Jena 60

    SERS increases detection limit!

    Vibrational microspectroscopy

    SERS = Surface Enhanced Raman Scattering

  • IPC Friedrich-Schiller-Universität Jena 62

    L

    L - S = R

    R

    Excitation of coherent molecular vibrations

    within common focus of two laser beam whose

    difference frequency L - S matches a

    molecular vibration.

    Non-linear Raman microspectroscopy

    Coherent Raman spectroscopy

    Fundamental concepts of coherent anti-Stokes Raman scattering (CARS)

  • IPC Friedrich-Schiller-Universität Jena 68

    Coherent molecular

    vibrations excited by

    the two laser fields L

    and S modulate a

    third laser field (L)

    and thus generate a

    coherent light beam at

    anti-Stokes frequency

    aS = 2L - S

    Non-linear Raman microspectroscopy

    Fundamental concepts of coherent anti-Stokes Raman scattering (CARS)

  • IPC Friedrich-Schiller-Universität Jena 72 Stokes pulse

    Pump pulse 1

    Pump pulse 2

    CARS-Signal

    Energy conservation

    Momentum

    conservation

    Non-linear Raman microspectroscopy

    Fundamental concepts of coherent anti-Stokes

    Raman scattering (CARS)

  • IPC Friedrich-Schiller-Universität Jena 73

    CARS intensity

    starting point for derivation of CARS intensity is non-linear wave equation for anti-

    Stokes amplitude EaS

    for k = 0 CARS intensity increase for L2

    for k 0 build up of CARS signal over limited coherence

    length lPh p/k; thereafter spatial-time-periodic intensity

    modulation due constructive and destructive interference.

    CARS signal oscillates as function of L with periodicity

    laS/2n

    Non-linear Raman microspectroscopy

    Fundamental concepts of coherent anti-Stokes Raman scattering (CARS)

    L

    IaS

    lPh

  • IPC Friedrich-Schiller-Universität Jena 77

    CARS line profiles

    Besides resonant susceptibility due

    to molecular vibrations also a non-

    resonant contribution NR due to

    electronic structure of medium must

    be considered. NR is a real value

    and does not show a strong

    frequency dependency i.e. can be

    considered as constant in vicinity of

    vibrational ferquency.

    resonant

    susceptibility

    Non-resonant

    susceptibility

    Non-linear Raman microspectroscopy

    Fundamental concepts of coherent anti-Stokes Raman scattering (CARS)

  • IPC Friedrich-Schiller-Universität Jena 79

    Collinear CARS microscopy:

    Phase-matching for strong focusing with microscopy objective

    Phase-matching uncritical because:

    For every wave vector component of

    pump beam the corresponding

    component of Stokes beam needed

    to fulfill phase-matching can be found

    in focus.

    CARS signal is only generated for

    short interaction length. Focusing with

    objective goes below coherence

    length. Interaction length is too short

    in order for a large phase mismatch

    to occur.

    Wavevector mismatch in water for collinear CARS geometry

    as a function of NA. Solid line: pump wavelength: 600 nm,

    Raman shift: 4167 cm-1; dashed line: pump wavelength:

    500 nm, Raman-Shift: 7500 cm-1; L is defined as FWHM of

    the focal excitation intensity along optical axis

    CARS microscopy

    Non-linear Raman microspectroscopy

  • IPC Friedrich-Schiller-Universität Jena 80

    Collinear CARS microscopy:

    Beam geometries in CARS microscopy

    F-CARS

    E-CARS

    p

    S aS

    aS F-CARS = Forward CARS

    E-CARS = Epi CARS

    E-CARS signal for scattering

    objects smaller than half anti-

    Stokes wavelength

    Magnitude of phase mismatch

    acts as filter for scattering

    objects of certain size.

    Non-linear Raman microspectroscopy

    CARS microscopy

  • IPC Friedrich-Schiller-Universität Jena 81

    CARS signal dependence on the size of

    a sphere placed in vacuum at the origin

    of tightly focused excitation beams for

    different experimental geometries.

    F-CARS signal increases quadratically with D

    until it reaches a constant value where the

    diameter of the sphere exceeds the longitudinal

    dimension of the focal volume.

    E-CARS signal has the same amplitude as F-

    CARS signal for sphere diameters smaller than

    the pump wavelength and reaches a maximum

    for~ 0.3lp. E-CARS amplitude decreases quickly

    for increasing sphere diameters and oscillates as

    function of D with periodicity laS/2n as a result of

    interference effects due to a large phase

    mismatch . For large D (= bulk) no E-CARS

    signal can be observed anymore.

    Collinear CARS microscopy:

    Beam geometries in CARS microscopy

    Non-linear Raman microspectroscopy

    CARS microscopy

  • IPC Friedrich-Schiller-Universität Jena 82

    Collinear CARS microscopy:

    CARS microscopy is not background free

    Contrast reduction due to:

    Non-resonant background signals.

    Water as solvent leads due to ist broad

    Raman bands strong resonant

    background signals

    CARS field of object in F-CARS geometry is superimposed on much stronger CARS signal of medium

    (due to larger interaction length).

    Low contrast of CARS image of object

    E-CARS detection allows imaging with much better contrast because E-CARS signal of medium

    disappears due to destructive interference. However, this is not true for E-CARS signal of object if its size

    is comparable to anti-Stokes wavelength where only the object leads to image contrast.

    Non-linear Raman microspectroscopy

    CARS microscopy

  • IPC Friedrich-Schiller-Universität Jena 83

    Comparison of contrast in F-CARS

    and E-CARS images of unstained

    live epithelial cells taken with 5 ps

    pulse trains at a repetition rate of

    400 kHz. (a) F-CARS image

    recorded with parallel-polarized

    pump and Stokes beams with

    average powers of 0.4mW and

    0.2mW, respectively, at a Raman

    shift of 1579 cm−1 (protein vibration).

    (b) E-CARS image recorded with

    average pump and Stokes powers

    of 2.0mW and 1.0mW, respectively,

    at a Raman shift of 1570 cm−1.(DNA

    vibration).

    Larger water background Background supression! Small

    features (~ 100 nm) become visible.

    Non-linear Raman microspectroscopy

    CARS microscopy

    Collinear CARS microscopy:

    CARS microscopy is not background free

  • Raman images 1659cm-1; 32 x 32 data points; Measuring time 9 h

    Bright field

    CARS image

    CARS images at 1660cm-1; 512 x 512 data points; Measuring time 5.4s,

    A comparative study on colon tissue by means of CARS and Raman imaging

    Non-linear Raman microspectroscopy

    CARS microscopy

  • IPC Friedrich-Schiller-Universität Jena 90

    Multimodal Optical Imaging

    Future trends in non-linear microscopy

  • IPC Friedrich-Schiller-Universität Jena 91

    Multimodal image:

    Composite of

    CARS, SHG and TPEF

    Cerebellum of a domestic pig:

    Multimodal image retrieves simlar information as

    H&E

    In-vivo detection of tumor

    H&E CARS CH SHG (collagen)

    Purkinje cells

    White matter

    arachnoidea

    Granule layer

    TPEF

    Grey matter

    Multimodal Optical Imaging

    Future trends in non-linear microscopy

  • IPC Friedrich-Schiller-Universität Jena 92

    Multimodal Optical Imaging

    Brain metastasis of lung carcinoma:

    Detection of tumor by CARS

    Detection of tumor boundary by spectral profile

    Subcellular details (cell cores)

    Multimodal information of the tissue morphochemistry

    H&E

    Future trends in non-linear microscopy

  • IPC Friedrich-Schiller-Universität Jena 95

    Multimodal Optical Imaging

    Multi-modal imaging

    Various methods are necessary in order to achieve molecular contrast

    as well as multivariate information (absorption, fluorescence based

    methods, SHG, THG, Raman and FTIR, CARS, etc.)

    Implementation of in-vivo multimodal imaging for clinical detection and

    ultimately to the diagnosis of disease

    Multi-modal imaging

    Future trends in non-linear microscopy