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Improved Visualization, Counting and Sizing
of Polydisperse Nanoparticle Colloids
using ViewSizer® 3000
Jan “Kuba” Tatarkiewicz, PhD
VP Engineering
MANTA Instruments, Inc.
Established technologies
• Flow Cytometry (FC)
• Transmission Electron Microscopy (TEM)
• Static Light Scattering (SLS)
• Dynamic Light Scattering (DLS)
• conventional Nanoparticle Tracking Analysis (cNTA)
Unmet needs
• Accurate & reproducible measurement of:
 particle number concentration
 particle size distribution
 particle kinetic processes
• and visualization of highly polydispersed colloids
Visualization of Brownian motion
microscope + camera
light sheet
scattered light
light sheet thickness
light source
investigated volume
Problem
>6 orders of
magnitude in
scattered light
intensity (Mie)
445 nm laser on polystyrene beads in water
1.0E-05
1.0E-04
1.0E-03
1.0E-02
1.0E-01
1.0E+00
1.0E+01
1.0E+02
1.0E+03
1.0E+04
10 100 1,000
Diameter [nm]
Scatteringcross-section[nm2]
Six orders of magnitude
• DLS – large particles skew results
(small ones not detected)
• DLS – experimental complications that users overlook
(concentration-dependent results)
• cNTA – different sized particles can’t be seen simultaneously
(highly irregular images for large particles, dim for smallest)
• cNTA – interrogated volume depends on particles sizes and their
refractive indices (similar to FC problem when sizing)
Problem is well known
“Sample polydispersity affects the ability to track and therefore analyze
different size fractions in the particle number-size distribution. […]
In a polydisperse sample large particles scatter a lot more than small
particles making it difficult to detect or track small size particles.”
1.0E-05
1.0E-04
1.0E-03
1.0E-02
1.0E-01
1.0E+00
1.0E+01
1.0E+02
1.0E+03
1.0E+04
10 100 1,000
Diameter [nm]
Scatteringcross-section[nm2]
MANTA solution US patent 9645070
(Multispectral Advanced Nanoparticle Tracking Analysis)
Sample of three color video
Size determination (Einstein 1905, Langevin 1908)
• Mean Squared Distance (MSD in 2D, N frames, jumps of n):
• Diffusion coefficient D (optimized least-square fit of MSD vs. n):
• Hence diameter:
MSD(n) =
1
N -n
(xi+n
i=1
N-n
å - xi )2
+(yi+n - yi )2
MSD n( )= 4·Dt·D( )·n
𝑑 =
𝑘 𝐵 𝑇
3𝜋𝜂𝐷
Light sheet thickness
Intensity
Thickness
“Top hat”
Gaussian
Concentration (counts per volume)
• Observed volume depends on intensity of scattered light
• Calibration of interrogated volume is done using standards
(various sizes and refractive indices) → lookup table
• Volume factor is calculated from average intensity of
scattered light for each tracked particle (takes laser power,
camera exposure & gain into account)
• Density of particle size distribution (PSD) is calculated with
variable volume factor for each size bin
Volume factor US patent 9857283
Volume
Diameter
Intensity
d0
I0
V0
Lookup surface
0
1
2
3
4
5
6
7
0
200
400
600
800
1000
0
200
400
600
800
1000
1200
1400
1600
Volume[nL]
Diameter [nm]
Mie
 [nm
2 ]
Silica
Polystyrene
Silver
ViewSizer® 3000
cuvette w/insert
US patent 9541490
*Sample material dependent
Specifications
Range of particle sizes measured* 10 nm to 15 µm
Minimum sample volume 0.4 mL
Typical sample concentration 5 x 106 to 1 x 108 particles/mL
Sample temperature range (controlled) 10 °C to 50 °C, ± 0.1 °C (-15 °C to 110 °C available)
Dimensions 55 cm W x 66 cm D x 35 cm H
Weight 27 kg
Operational Environment 15 °C to 30 °C with < 85% RH
NIST exploratory poly-standard
Diameter [nm]
50 100 200 500 1000
DensityofPSD[counts/mL/nm]
1.0e+3
1.0e+4
1.0e+5
1.0e+6
1.0e+7
Gold mixes: DLS vs. MANTA
TEM, DLS & cNTA vs. MANTA
α-lactalbumin nanoparticles
made as per Arroyo-Maya et al.
J. Dairy Sci. (2012) 95, 6204-6214
200 300100 500 600400 800700
107
108
109
1010
0
Particle diameter [nm]
DensityofPSD[counts/mL/nm]
cNTA
MANTA
3x DLS
TEM
Whole vs. fat-free milk
DA,B alpha DA,B,α Reject?
0.2335 0.050 0.0338 yes
Diameter [nm]
0 200 400 600 800 1000
Cumulative
0.0
0.2
0.4
0.6
0.8
1.0
whole milk
fat-free milk
How to compare two distributions
with unknown shapes (no theory)?
Use the so called nonparametric tests
like Kolmogorov-Smirnow statistics:
dav=256 nm, SD=145 nm, CV=0.57
dav=163 nm, SD=68 nm, CV=0.42
Micellisation of a polymer
If number of particles retained, diameter/volume increases -> growth by adding polymer
Kinematykapolimeryzacji miceli – współpraca dr. Nia Bell, UCSD
5 min 45 min25 min
DensityofPSD[counts/mL/nm]
Neat proteins
Sample 1 Sample 2
Viscosity of proteins
𝜂 𝑝𝑟𝑜𝑡𝑒𝑖𝑛 =
𝑑𝑖𝑛 𝑝𝑟𝑜𝑡𝑒𝑖𝑛
𝑑𝑖𝑛 𝑤𝑎𝑡𝑒𝑟
∗ 𝜂 𝑤𝑎𝑡𝑒𝑟
203 nm PSL in water and proteins
Diameter [nm]
0 500 1000 1500 2000
DensityofPSD[counts/mL/nm]
0.0
1.0e+5
2.0e+5
3.0e+5
4.0e+5
5.0e+5
6.0e+5
7.0e+5
in water
in protein 1
in protein 2
Neat proteins PSD
Instrument Info
Serial Number=007
Calibration Constant=225.6 [nm/pixel]
Software Version=1.5.0.4016,
1.0.5 WeekBuild 3716
Interrogation Volume=2.5E-06 [mL]
Sample Info
Sample ID=Protein1
Sample Description=neat
Sample 1 Sample 2
Report something from fridge
Measurement date: 9/15/2017
Measurement time: 13:49:01
Measurement type: NTA
Operator: JB
Instrument information
Serial number: 023
Software version: 1.8.0.2517,
1.0.7 WeekBuild 2317
Calibration constant: 195.79 [nm/pixel]
Lysozyme heated to 60 °C
before after
Fluorescence
0.0E+00
5.0E+04
1.0E+05
1.5E+05
2.0E+05
2.5E+05
0 100 200 300 400 500 600 700 800 900 1,000
DensityofPSD[counts/mL/nm]
Diameter [nm]
Gravimetric mix:
B 44%
G 33%
R 23%
FL measured:
B 36%
G 49%
R 15%
Mix of three types of carboxylate fluorescent beads (all nominally 500 nm diameter, stained with Fluoresbrite®)
MANTA
Vesicles stained with fluorophore
Fluorophore DilC18(3) Ex=520÷551 nm, Em=569÷620 nm
1,1'-Dioctadecyl-3,3,3',3'-Tetramethylindocarbocyanine-5,5'-Disulfonic Acid
0.00E+00
5.00E+05
1.00E+06
1.50E+06
2.00E+06
2.50E+06
3.00E+06
3.50E+06
0 200 400 600 800 1000
DensityofPSD[counts/mL/nm] Diameter [nm]
MANTA
FL
Vesicles processed differently
DA,B alpha DA,B,α Reject?
0.0647 0.050 0.0297 yes
Vesicles stained with DilC18(3)
Diameter [nm]
0 200 400 600 800
Cumulative
0.0
0.2
0.4
0.6
0.8
1.0
MANTA
FL dav=278 nm, SD=166 nm, CV=0.60
dav=264 nm, SD=169 nm, CV=0.64
Nanoparticles dissolution rate
Nanoparticles dissolution rate II
0.00
0.20
0.40
0.60
0.80
1.00
1.20
0:00:00 1:12:00 2:24:00
#particles
0.00
0.20
0.40
0.60
0.80
1.00
1.20
0:00:00 1:12:00 2:24:00
density
0.00
0.20
0.40
0.60
0.80
1.00
1.20
0 50 100 150 200
Relativeintensity
Time [minutes]
Settling rate for large particles
𝑑 =
18 ∗ 𝑣 ∗ 𝜂
𝑔 ∗ 𝜌 − 𝜌0
Protein crystallization rate
0
5
10
15
20
25
30
35
40
0 50 100 150 200 250 300 350 400 450 500
Intensity[a.u.]
Time [minutes]
Brownian sizing
Sinking sizing
PBS 2
PBS 1
Crystallization
Dissolution
Wittbold & Tatarkiewicz 2017, BioProcess International 15 (3)
polystyrene, also with PEG coating, silica, silver, gold, 316L stainless,
sand/dirt, clay, CaO, YAG, SiO2, carbon, PMMA, LiMnO
sea water, fresh water, rain water, tap water, acetone, wine, urine,
blood plasma, milk, ammonia, jet A-1 fuel
small molecule APIs, protein aggregates, silicon oil, protein crystals,
liposomes, exosomes, vesicles, micelles, α-lactalbumin, rolled DNA,
RNA, viruses, bacteriophages, emulsions, polymeric API carriers,
self-adjuvanted proteins
Successfully tested samples
Key benefits of MANTA
 Individual particle method, not ensemble average
 Accurate density of PSD for polydisperse samples
 Concentration measured, not estimated
 Absolute method (no calibration w/standards needed)
 Particles and processes visualization
Other benefits
 Kinetic processes (time constants)
 Temperature range and ramp rates
 Real time agitation
 Real time reagent addition
 Multiple tests w/o changing sample
Customers love ViewSizer® 3000
“I can’t do my
research without
MANTA”
Thank you
Jan “Kuba” Tatarkiewicz PhD
VP Engineering
MANTA Instruments, Inc.

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Improved Visualization, Counting and Sizing of Polydisperse Nanoparticle Colloids using ViewSizer 3000

  • 1. Improved Visualization, Counting and Sizing of Polydisperse Nanoparticle Colloids using ViewSizer® 3000 Jan “Kuba” Tatarkiewicz, PhD VP Engineering MANTA Instruments, Inc.
  • 2. Established technologies • Flow Cytometry (FC) • Transmission Electron Microscopy (TEM) • Static Light Scattering (SLS) • Dynamic Light Scattering (DLS) • conventional Nanoparticle Tracking Analysis (cNTA)
  • 3. Unmet needs • Accurate & reproducible measurement of:  particle number concentration  particle size distribution  particle kinetic processes • and visualization of highly polydispersed colloids
  • 4. Visualization of Brownian motion microscope + camera light sheet scattered light light sheet thickness light source investigated volume
  • 5. Problem >6 orders of magnitude in scattered light intensity (Mie) 445 nm laser on polystyrene beads in water 1.0E-05 1.0E-04 1.0E-03 1.0E-02 1.0E-01 1.0E+00 1.0E+01 1.0E+02 1.0E+03 1.0E+04 10 100 1,000 Diameter [nm] Scatteringcross-section[nm2]
  • 6. Six orders of magnitude • DLS – large particles skew results (small ones not detected) • DLS – experimental complications that users overlook (concentration-dependent results) • cNTA – different sized particles can’t be seen simultaneously (highly irregular images for large particles, dim for smallest) • cNTA – interrogated volume depends on particles sizes and their refractive indices (similar to FC problem when sizing)
  • 7. Problem is well known “Sample polydispersity affects the ability to track and therefore analyze different size fractions in the particle number-size distribution. […] In a polydisperse sample large particles scatter a lot more than small particles making it difficult to detect or track small size particles.”
  • 8. 1.0E-05 1.0E-04 1.0E-03 1.0E-02 1.0E-01 1.0E+00 1.0E+01 1.0E+02 1.0E+03 1.0E+04 10 100 1,000 Diameter [nm] Scatteringcross-section[nm2] MANTA solution US patent 9645070 (Multispectral Advanced Nanoparticle Tracking Analysis)
  • 9. Sample of three color video
  • 10. Size determination (Einstein 1905, Langevin 1908) • Mean Squared Distance (MSD in 2D, N frames, jumps of n): • Diffusion coefficient D (optimized least-square fit of MSD vs. n): • Hence diameter: MSD(n) = 1 N -n (xi+n i=1 N-n å - xi )2 +(yi+n - yi )2 MSD n( )= 4·Dt·D( )·n 𝑑 = 𝑘 𝐵 𝑇 3𝜋𝜂𝐷
  • 12. Concentration (counts per volume) • Observed volume depends on intensity of scattered light • Calibration of interrogated volume is done using standards (various sizes and refractive indices) → lookup table • Volume factor is calculated from average intensity of scattered light for each tracked particle (takes laser power, camera exposure & gain into account) • Density of particle size distribution (PSD) is calculated with variable volume factor for each size bin
  • 13. Volume factor US patent 9857283 Volume Diameter Intensity d0 I0 V0 Lookup surface 0 1 2 3 4 5 6 7 0 200 400 600 800 1000 0 200 400 600 800 1000 1200 1400 1600 Volume[nL] Diameter [nm] Mie  [nm 2 ] Silica Polystyrene Silver
  • 15. *Sample material dependent Specifications Range of particle sizes measured* 10 nm to 15 µm Minimum sample volume 0.4 mL Typical sample concentration 5 x 106 to 1 x 108 particles/mL Sample temperature range (controlled) 10 °C to 50 °C, ± 0.1 °C (-15 °C to 110 °C available) Dimensions 55 cm W x 66 cm D x 35 cm H Weight 27 kg Operational Environment 15 °C to 30 °C with < 85% RH
  • 16. NIST exploratory poly-standard Diameter [nm] 50 100 200 500 1000 DensityofPSD[counts/mL/nm] 1.0e+3 1.0e+4 1.0e+5 1.0e+6 1.0e+7
  • 17. Gold mixes: DLS vs. MANTA
  • 18. TEM, DLS & cNTA vs. MANTA α-lactalbumin nanoparticles made as per Arroyo-Maya et al. J. Dairy Sci. (2012) 95, 6204-6214 200 300100 500 600400 800700 107 108 109 1010 0 Particle diameter [nm] DensityofPSD[counts/mL/nm] cNTA MANTA 3x DLS TEM
  • 19. Whole vs. fat-free milk DA,B alpha DA,B,α Reject? 0.2335 0.050 0.0338 yes Diameter [nm] 0 200 400 600 800 1000 Cumulative 0.0 0.2 0.4 0.6 0.8 1.0 whole milk fat-free milk How to compare two distributions with unknown shapes (no theory)? Use the so called nonparametric tests like Kolmogorov-Smirnow statistics: dav=256 nm, SD=145 nm, CV=0.57 dav=163 nm, SD=68 nm, CV=0.42
  • 20. Micellisation of a polymer If number of particles retained, diameter/volume increases -> growth by adding polymer Kinematykapolimeryzacji miceli – współpraca dr. Nia Bell, UCSD 5 min 45 min25 min DensityofPSD[counts/mL/nm]
  • 22. Viscosity of proteins 𝜂 𝑝𝑟𝑜𝑡𝑒𝑖𝑛 = 𝑑𝑖𝑛 𝑝𝑟𝑜𝑡𝑒𝑖𝑛 𝑑𝑖𝑛 𝑤𝑎𝑡𝑒𝑟 ∗ 𝜂 𝑤𝑎𝑡𝑒𝑟 203 nm PSL in water and proteins Diameter [nm] 0 500 1000 1500 2000 DensityofPSD[counts/mL/nm] 0.0 1.0e+5 2.0e+5 3.0e+5 4.0e+5 5.0e+5 6.0e+5 7.0e+5 in water in protein 1 in protein 2
  • 23. Neat proteins PSD Instrument Info Serial Number=007 Calibration Constant=225.6 [nm/pixel] Software Version=1.5.0.4016, 1.0.5 WeekBuild 3716 Interrogation Volume=2.5E-06 [mL] Sample Info Sample ID=Protein1 Sample Description=neat Sample 1 Sample 2 Report something from fridge Measurement date: 9/15/2017 Measurement time: 13:49:01 Measurement type: NTA Operator: JB Instrument information Serial number: 023 Software version: 1.8.0.2517, 1.0.7 WeekBuild 2317 Calibration constant: 195.79 [nm/pixel]
  • 24. Lysozyme heated to 60 °C before after
  • 25. Fluorescence 0.0E+00 5.0E+04 1.0E+05 1.5E+05 2.0E+05 2.5E+05 0 100 200 300 400 500 600 700 800 900 1,000 DensityofPSD[counts/mL/nm] Diameter [nm] Gravimetric mix: B 44% G 33% R 23% FL measured: B 36% G 49% R 15% Mix of three types of carboxylate fluorescent beads (all nominally 500 nm diameter, stained with Fluoresbrite®) MANTA
  • 26. Vesicles stained with fluorophore Fluorophore DilC18(3) Ex=520÷551 nm, Em=569÷620 nm 1,1'-Dioctadecyl-3,3,3',3'-Tetramethylindocarbocyanine-5,5'-Disulfonic Acid 0.00E+00 5.00E+05 1.00E+06 1.50E+06 2.00E+06 2.50E+06 3.00E+06 3.50E+06 0 200 400 600 800 1000 DensityofPSD[counts/mL/nm] Diameter [nm] MANTA FL
  • 27. Vesicles processed differently DA,B alpha DA,B,α Reject? 0.0647 0.050 0.0297 yes Vesicles stained with DilC18(3) Diameter [nm] 0 200 400 600 800 Cumulative 0.0 0.2 0.4 0.6 0.8 1.0 MANTA FL dav=278 nm, SD=166 nm, CV=0.60 dav=264 nm, SD=169 nm, CV=0.64
  • 29. Nanoparticles dissolution rate II 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0:00:00 1:12:00 2:24:00 #particles 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0:00:00 1:12:00 2:24:00 density 0.00 0.20 0.40 0.60 0.80 1.00 1.20 0 50 100 150 200 Relativeintensity Time [minutes]
  • 30. Settling rate for large particles 𝑑 = 18 ∗ 𝑣 ∗ 𝜂 𝑔 ∗ 𝜌 − 𝜌0
  • 31. Protein crystallization rate 0 5 10 15 20 25 30 35 40 0 50 100 150 200 250 300 350 400 450 500 Intensity[a.u.] Time [minutes] Brownian sizing Sinking sizing PBS 2 PBS 1 Crystallization Dissolution Wittbold & Tatarkiewicz 2017, BioProcess International 15 (3)
  • 32. polystyrene, also with PEG coating, silica, silver, gold, 316L stainless, sand/dirt, clay, CaO, YAG, SiO2, carbon, PMMA, LiMnO sea water, fresh water, rain water, tap water, acetone, wine, urine, blood plasma, milk, ammonia, jet A-1 fuel small molecule APIs, protein aggregates, silicon oil, protein crystals, liposomes, exosomes, vesicles, micelles, α-lactalbumin, rolled DNA, RNA, viruses, bacteriophages, emulsions, polymeric API carriers, self-adjuvanted proteins Successfully tested samples
  • 33. Key benefits of MANTA  Individual particle method, not ensemble average  Accurate density of PSD for polydisperse samples  Concentration measured, not estimated  Absolute method (no calibration w/standards needed)  Particles and processes visualization
  • 34. Other benefits  Kinetic processes (time constants)  Temperature range and ramp rates  Real time agitation  Real time reagent addition  Multiple tests w/o changing sample
  • 35. Customers love ViewSizer® 3000 “I can’t do my research without MANTA”
  • 36. Thank you Jan “Kuba” Tatarkiewicz PhD VP Engineering MANTA Instruments, Inc.