Optical Metrology of Nanomaterials and Nano-assemblies Optical - - PowerPoint PPT Presentation

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Optical Metrology of Nanomaterials and Nano-assemblies Optical - - PowerPoint PPT Presentation

Optical Metrology of Nanomaterials and Nano-assemblies Optical Metrology of Nanomaterials and Nano-assemblies for Quantitative Biophotonics for Quantitative Biophotonics The Fifth US-Korea Forum on Nanotechnology: The Fifth US-Korea Forum on


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SLIDE 1

Optical Metrology of Nanomaterials and Nano-assemblies for Quantitative Biophotonics Optical Metrology of Nanomaterials and Nano-assemblies for Quantitative Biophotonics

The Fifth US-Korea Forum on Nanotechnology: Nano-Biotechnology

Jeeseong Hwang jch@nist.gov Biophysics Group Optical Technology Division Physics Laboratory

The Fifth US-Korea Forum on Nanotechnology: Nano-Biotechnology

Jeeseong Hwang jch@nist.gov Biophysics Group Optical Technology Division Physics Laboratory

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SLIDE 2

Founded in 1901 (National Bureau of Standards) U.S. Commerce Department’s Technology Administration. Mission: To develop and promote measurement, standards, and technology to enhance productivity, facilitate trade, and improve the quality of life. www.nist.gov

NIST

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SLIDE 3

What is ‘Biophotonics?’

Dennis Matthews NSF Center for Biophotonics

Biophotonics is the study of the interaction

  • f light with biological material, where

“light” includes all forms of radiant energy whose quantum unit is the photon.

Absorption of photonic energy by a human body Photodynamic surgery

physics.upenn.edu

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SLIDE 4

LI GHT M I CROSOCPE

“Manipulated” photons Nanomaterials:

Contrast agents or Manipulators

cohesiondev.rice.edu

Ultimate goal of NANOBiophotonics for DYNAMICAL quantitative nanoscale imaging

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SLIDE 5

Measurement Strategy Optical Metrology for Biophtotonics and Biophysics (OMB2)

Nanoprobes Nanoprobes Integrated tools Integrated tools Measurement confidence Measurement confidence Diffraction-limited

  • ptical techniques

with enhanced temporal resolutiion Diffraction-limited

  • ptical techniques

with enhanced temporal resolutiion Nanoscale details Nanoscale details

Validated information

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SLIDE 6

?

Quantum Dot (QD)

CdSe/ ZnS Attractive fluorophores for bio- imaging due to its broad absorption and narrow symmetric emission spectra Higher quantum yield and more photostable than conventional organic dye Size and composition dependent tunable absorption and emission pattern Bio-functional Coating Attractive Attractive fluorophores fluorophores for bio for bio-

  • imaging due to its broad

imaging due to its broad absorption and narrow absorption and narrow symmetric emission spectra symmetric emission spectra Higher quantum yield and more Higher quantum yield and more photostable photostable than than conventional organic dye conventional organic dye Size and composition dependent Size and composition dependent tunable absorption and tunable absorption and emission pattern emission pattern Bio Bio-

  • functional Coating

functional Coating

2nm 8nm

Functional Coating

Optical Properties?

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SLIDE 7

Local environment and fluorescence

  • ZnS monolayers
  • Nirmal et al, Nature, 383:802, 1996.
  • addition of ZnS

monolayers result in greater fluorescence

  • masks surface imperfections/defects
  • prevents air/solvent molecules from interacting with CdSe

surface

  • Oxygen/Argon atmosphere -

Koberling et al, Adv Mater, 13:672, 2001.

  • fluorescence quenched in presence of oxygen
  • xygen traps electrons at quantum dot surface
  • β-Mercaptoethanol
  • Hohng et al, JACS, 126:1324, 2004.
  • near 100% blinking suppression
  • thiol

moiety donates electrons “Sensor” for nanoscale environment.

  • Probe electron-hole separation/recombination kinetics

responsible for fluorescence intermittency

Valence Band Conduction Band Band Gap What is the effect of the BIOCONJUGATION, functional coating on the fluorescent properties of single quantum dots?

Why single QD characterization?

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SLIDE 8

Coming up…

Measurable I: Surface hydrophilicity Single particle tracking on QDs interacting with a lipid membrane Measurable II: Distance and orientation Fluorescence Energy Transfer using QDs as donors Measurable III: electrostatic environment Intermittency in fluorescence, “blinking” of single QDs Measurable IV: Local concentration Fluorescence from “clustered” QDs Measurable I: Surface hydrophilicity Single particle tracking on QDs interacting with a lipid membrane Measurable II: Distance and orientation Fluorescence Energy Transfer using QDs as donors Measurable III: electrostatic environment Intermittency in fluorescence, “blinking” of single QDs Measurable IV: Local concentration Fluorescence from “clustered” QDs

An application Nanosensor assembly and characterization of bacteriophage/QDs nanocomplexes An application Nanosensor assembly and characterization of bacteriophage/QDs nanocomplexes

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SLIDE 9

Nanoparticle vs membrane interactions Hydrophobic vs Hydrophilic

Measurable I: Surface hydrophilicity

Nanoparticles interacting with a lipid membrane

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SLIDE 10

Combined 785 nm DIC and Fluorescence

Nanoshells trapped inside a lipid vesicle

785 nm DIC Fluorescence

single particle tracking of single nanocrystals

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SLIDE 11

Fluorescence resonance energy transfer is measured to study biomolecular interactions such as DNA hybridization and antibody- antigen reaction.

Cy5 QD

  • -----Biotin-CG ACG GTA TAG ATG

Cy5-GC TGC CAT ATC TAC----

Human Papilloma Virus gene detection

K(θ)2

Si NP

Measurable II: Distance and orientation

Fluorescence Energy Transfer using QD as donors

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SLIDE 12

Fluorescent, “ON” state Trapped, “OFF” state photon hole electron

Measurable III: electrostatic environment

Intermittency in fluorescence, “blinking”

conduction band valence band Photoluminescence in Semiconductor An electron and a hole recombine to emit a photon An electron or a hole trapped on a surface “trap” state surface “trap” states

“a particle in a box”

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SLIDE 13

1 µm

Confocal Fluorescence Microscopy of Single QDs

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SLIDE 14

2 μm

Bare Carboxyl Amine

Surface functionalization results in shorter “on” periods of QD fluorescence due to increased surface traps

bin time: 1ms

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SLIDE 15

CdSe/ZnS

Hydrophobic Interactions

TOPO PEG PE

>10 nm

CdSe/ZnS

Surface conjugation chemistry of QDs

Thiol chemistry

CdSe/ZnS

+ H2 N-DNA

OR

mercaptoundecanoicacid (MDA) - QD

Non-covalent bonding

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SLIDE 16

550 560 570 580 590 600 610 620 630

Intensity [arb. Units] Wavelength [nm]

50 100 150 200 250 300 350 13.0 13.5 14.0 14.5 15.0 15.5 16.0 16.5

FWHM [nm] Time [sec]

1 4 1 4 5 1 5 1 5 5 1 6 1 6 5 1 7 1 2 3 4 5 6 7 8

Counts/10ms T i m e [ m s ]

5 1 2 3 4 5 6 7 8

Counts/10ms T i m e [ m s ]

5 1 1 5 2 2 5 3 3 5 1 2 3 4 5 6 7 8

f e d c b

Counts/10ms T i m e [ m s ]

a

3 3 5 3 1 3 1 5 3 2 3 2 5 3 3 3 3 5 3 4 3 4 5 3 5 1 2 3 4 5 6 7 8

Counts/10ms T i m e [ m s ]

Dynamical fluorescence analysis of a single bio-conjugated QD

Increasing trap states Decreasing quantum confinement size Spectral Shift Spectral diffusion

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SLIDE 17
  • Quantized levels in blinking “counter”
  • No enhancement in the emission intensity “measure cluster behavior”

ON

“blinking” of a single QD

OFF

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SLIDE 18

Quantum Dot - Blinking Analysis

Background Counts: Mean = 2.33 counts/ms, σ = 1.52 mean+σ = 3.86 +2σ = 5.40 +3σ = 6.92 +4σ = 8.44 (Left) A 10 second background transient extracted from a 10 minute transient and collected from a dark region of the quantum dot sample. (Right) A histogram analysis of the background counts plotted relative to the mean and the standard deviation (σ) of the measurement. The mean+4σ value was found to be above 99.99%

  • f the background counts in the measurement and was

employed as the threshold value. A threshold analysis procedure was performed following Kuno et al. J. Chem. Phys. 115(2):1028, 2001. Poisson Distribution <0.01%

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SLIDE 19

ON OFF

1 second counts/ms

On: 41 16 5 260 106 4 308 ms Off: 6 1 34 7 110 15 ms

Histogram Analysis (Log-Linear) of On and Off lengths

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SLIDE 20

ON OFF OFF ON

Probability Density (Log-Linear) of On and Off lengths

The on-time probability distribution (left) reflects the On Off kinetics while the

  • ff-time probability distribution (rigt) reflects the Off On kinetics. Curvature

in the log-linear plot implies the blinking process is not exponential, therefore, a single recovery channel or single trap state is unlikely responsible for the blinking phenomenon.

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SLIDE 21

ON OFF Probability Density (Log-Log) of On and Off lengths

mon = -1.69 SD = 0.29 R = -0.94481 moff = -1.54 SD = 0.27 R = -0.94068

A linear log-log plot of the on-time (left) and off time (right) probability distribution implies that the blinking dynamics follow an inverse power law according to P(τ) α τ-m. m can be extracted from the graph using a least Chi-square fit to the data (red line) and allows the blinking dynamics

  • f the bare, carboxyl, and amine quantum dots to be quantitatively compared.
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SLIDE 22

P(τ) ∝ (1/τ)m

  • 0.95
  • 0.94
  • 0.94

R - moff 0.26 0.24 0.27 SD - mon

  • 1.64
  • 1.39
  • 1.38

moff 0.28 0.29 0.30 SD - moff

  • 0.97
  • 0.97
  • 0.95

R - mon

  • 2.27
  • 2.29
  • 1.73

mon Amine (N = 35) Carboxyl (N =49) Bare (N = 48) MDA

  • 1.48
  • 0.93

0.18

  • 1.64
  • 0.94

0.26

Thiol (electron donating) group suppresses blinking. Bare QD PEG-lipid carboxyl (amine)QD

ON OFF

Thiols (e-donating group) on the surface suppress blinking

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SLIDE 23

Fluorescent Microscopy to count the # of QDs per bead

Bright Field Fluorescent

Out of 256 single beads from 3 nM QD sample that we looked at, 206 (≈ 80.5 %) beads showed fluorescence from attached QDs.

a (Δ=+0.5%)b a b

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SLIDE 24

Blinking of single QDs conjugated onto Silica Bead

Single, separated: Quantized “blinking”

Silica bead The estimated average intensity (≈ 150 counts) of each quantized step from a single QD allows for the detection limit determination of quantitative flow cytometry by estimating the number of QDs attached onto the beads detected above the threshold in the flow cytometry (as indicated with arrow ‘a’ in the micrographs in Figure 3). Maximum fluorescence signals of ≈ 3200 counts on average were

  • bserved from these bright beads corresponding to ≈

8 QDs per bead.

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SLIDE 25

Measurable IV: Local concentration Fluorescence from “clustered” QDs

surface “trap” states photon hole electron

Photo-induced lowering of the tunneling barrier (i.e. oxide layer)

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SLIDE 26

The difference between a group of isolated QDs and clustered QDs

Confocal fluorescence images of QDs

  • n glass substrates spun cast from a low concentration (a) and a high concentration (b)

QD solution. Cross marked positions, (1), (2), and (3) in the images are the positions from which the time-trace of fluorescence intensities presented in (c), (d), and (e) are measured, respectively. Inset in (a) is a magnified view of the area

  • ver

position (1) exhibiting the “blinking” behavior of a single QD.

1 μm 1 μm

(1) (2) (3)

1 μm 1 μm

(1) (2) (3)

1 μm 1 μm 1 μm 1 μm

(1) (2) (3)

2x10

2

4x10

2

40 10 20 30

2x10

3

4x10

3

10 20 30 40 1x10

4

2x10

4

Time (s)

(1) (2) (3)

Time (0.1 s) Time (s)

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SLIDE 27

T7 phage: the capsid shell, head-tail connector, tail, and tail fibers are shown schematically. The diffraction pattern from polyheads (4) showing a hexamer capsid unit has been fit onto the surface of the icosahedral particle (diameter approx. 55 nm). The monomer units are in gray. (Newsletter of NOVAGEN Inc. Vol. No 6, October, 1996).

Only a few GFP can be expressed to maintain the biological function of the phage.

10nm

Nanosensor assembly of bacteriophage and QDs

Specificity to BL21 E. coli cells

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SLIDE 28
  • BirA

(15aa):GLNDIFEAQKIEWHE the BPL of E. coli biotinylates only a single cellular protein, Biotin Carboxyl Carrier Protein (BCCP), a subunit of acetyl-CoA carboxylase (the enzyme catalyzing the first committed step of fatty acid synthesis)

Expressing Biotin protein ligase (BPL) on the capsid surface

  • Negative control, myc

(10aa): EQKLISEEDL

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SLIDE 29

T a r g e t c e l l Host cell

Strategy

BL21 T7 Biotin-binding ligase Biotin Streptavidin Quantum Dot

International Patent (2006)

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SLIDE 30

NIST

  • Peter Yim
  • Joshua (HyeongGon) Kang
  • Mathew Clarke
  • Jeff Krogmeier (US Genomics)
  • Cheryl Lau (Alexza Pharmaceuticals)

Acknowledgement

Outside NIST

  • Michael Mckinstry, Shanmuga Sozahamannan, Timothy Read

(Navy Medical Research Center)

  • Marina Dobrovolskaia and Anil Patri (NCL/NCI)
  • Edgar Rotem,, Kunio Nagashima, and Sankar Adhya (NCI)

Funding

  • NIAID/NIH (IAG)
  • NCL/NCI
  • NIST Physics Laboratory Support
  • NIST Intramural ATP intramural program
  • NRC Postdoctoral Fellowship
  • KATS (MOU)