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Note to readers: Relevant theory for this laboratory on electrophoretic lights scattering is typically covered in two lectures. Here, we present only a short introduction to theory, a standards-reading exercise, and the procedures, data analysis, and discussion questions corresponding to a laboratory exercise. Theory sections may be expanded into additional chapters at a later time.

1. Introduction

The surface charge or potential of nanoparticles or colloids is an important factor contributing to their colloidal stability in suspension. Surface charge arises from charged moieties or absorbates on the particle surface and leads to a surface potential. This potential is screened by counterions in solution, leading to a decline in the magnitude of the potential away from the surface. Counterions at higher concentrations or higher valences provide more effective charge screening, i.e., a more compressed electric double layer with a shorter Debye length (κ–1). Charge screening results in diminished electrostatic repulsion forces and poorer colloidal stability for like-charged particles.

Electrophoretic light scattering (ELS) measurements are often used to evaluate the zeta potential (ζ) of the particles, i.e., the potential at the hydrodynamic shear plane. These measurements are based on the principle of the motion of charged particles in an electric field as evaluated through a force balance – particles with a higher magnitude of charge or potential will experience a stronger force in the electric field relative to the opposing drag or friction force and attain a higher steady-state velocity. For particles in motion, the frequency of their scattered light will change following the Doppler effect. ELS uses laser Doppler velocimetry measurements to determine the particle speed by evaluating the frequency shift between the scattered light and a reference beam of the incident light. The instrument utilized in this laboratory (Malvern Zetasizer Nano ZS) further implements mixed mode measurement – phase analysis light scattering (M3-PALS). PALS yields improved measurements of particles with lower velocities (or particles under a lower applied electric field), and the M3 (fast field reversal and slow field reversal) measurements yield higher quality measurements of zeta potential distributions by correcting for electro-osmotic effects.[1]

The ELS measurements of particle velocity are normalized by the applied electric field strength to determine the electrophoretic mobility (ue) of the particles. Various model equations have been derived to convert ue to ζ. The Hückel approximation, ue = 2/3(εζ/η), applies for spherical particles with a very small radius (Rs) relative to the Debye length, i.e., Rs < 0.1κ–1, whereas the Helmholtz-Smoluchowski approximation, ue = εζ/η, applies for particles with a very large radius relative to the Debye length, i.e., Rs > 100κ–1. For nanoparticles having diameters between 1 nm and 100 nm in monovalent electrolyte from 1 mM to 100 mM ionic strength, neither regime applies and the Henry equation should be used, in which the multiplicative factor is a function of kRs. Simplified expressions for f(κRs) have been derived in various references, e.g., by Ohshima (1994),[2] where f(κRs) ranges from 2/3 to 1 for ue = f(κRs)(εζ/η). (Note that many other references, including the Malvern Zetasizer software, write the Henry equation as ue = f(κRs)(2/3)(εζ/η), such that f(κRs) ranges from 1 to 1.5.)

This laboratory will apply ELS measurements to determine zeta potentials for gold (Au) nanoparticles (nominally 60 nm diameter) in background electrolytes of varying concentration (1 mM, 20 mM, 50 mM, and 100 mM NaCl), valence (1 mM CaCl2), and with a polymeric surface coating (polyvinylpyrrolidone coating, in 1 mM NaCl). The learning objectives of the laboratory include: (1) evaluating and explaining trends in the measured zeta potential; (2) identifying uncertainties in the measurement and data analysis; and (3) implementing best practices for ELS measurements.

The laboratory is paired with NCL Method PCC-2 — Measuring Zeta Potential of Nanoparticles to support the learning objectives.

2. Relevant Documentary Standards and Reading Exercises

Exercise L3.1

Review the following method published by the Nanotechnology Characterization Laboratory (NCL) of the National Cancer Institute:

Identify answers to the following questions from your reading of the sections listed below:

Section 3.4 — Measurement Procedure

  1. What is the minimum number of runs that should be performed per sample?
  2. How should the voltage setting for the analysis be adjusted and optimized?

Section 4 — Precautions and Guidelines

  1. Why is the sample pH important to report and/or control? If the pH needs to be adjusted, what is the recommended approach?
  2. How should the following features of the measurement be evaluated to assess the data quality?
    • Scattering intensity count rate
    • Frequency plots
    • Phase plots
    • Zeta potential result
  3. Why are bubbles detrimental to the sample analysis, and how can they be mitigated?
  4. Why is electrode blackening detrimental to the sample analysis, and how can it be mitigated?
  5. What issues arise from sample concentrations that are too low or too high, and how can the sample concentration be optimized to improve the data quality?
  6. How should polydisperse samples be handled when evaluating the zeta potential results?

3. Experimental Procedure

3.1 Chemical reagents

  • Deionized (DI) water
  • 60 nm Au nanoparticle stock suspension (BBI Solutions, EM.GC60)
  • NaCl stock solutions (100 mM and 1 M)
  • CaCl2 stock solution (100 mM)
  • Polyvinylpyrrolidone (PVP) stock solution (≈ 40 kDa molar mass, 10 g/L in DI water)

3.2 Equipment and supplies

  • Malvern Zetasizer Nano ZSP instrument
  • Malvern dip cell or disposable zeta cell
  • Pipettors and pipet tips
  • Polystyrene cuvettes (“macro” volume), 1 per sample, if using a dip cell

3.3 Procedures

Sample preparation

Confirm that all stock solutions are near pH 7 or otherwise adjust the pH to 7. (Note that you should separate an aliquot of Au nanoparticles prior to measuring pH, to avoid contaminating the purchased stock suspension).

Prepare the six samples below with the required volumes of deionized water, salt, and/or polymer stock solutions for 1 mL total of sample. The Au nanoparticles should be added immediately before the zeta potential measurement.

    1. 10X dilution of 60 nm citrate-Au nanoparticles in 1 mM NaCl background
    2. 10X dilution of 60 nm citrate-Au nanoparticles in 20 mM NaCl background
    3. 10X dilution of 60 nm citrate-Au nanoparticles in 50 mM NaCl background
    4. 10X dilution of 60 nm citrate-Au nanoparticles in 100 mM NaCl background
    5. 10X dilution of 60 nm citrate-Au nanoparticles in 1 mM CaCl2 background
    6. 10X dilution of 60 nm citrate-Au nanoparticles with 1 g/L PVP in 1 mM NaCl background

Instrument setup

Turn on the Zetasizer instrument, and open the Manual measurement dialogue. Table L3.1 below specifies the instrument settings to apply for the measurements.

Table L3.1. Zetasizer Measurement Settings for Particle Zeta Potential Analysis by Electrophoretic Light Scattering

PARAMETER TAB SETTING NOTES
Measurement Type Zeta Potential
Material


Material: Gold The properties listed here for gold are those already loaded in the Zetasizer software.
RI: 0.2
Absorption: 3.32
Dispersant




Dispersant: Water The properties listed here for water are those already loaded in the Zetasizer software.
Temperature:25 °C
Viscosity: 0.8872 cP
RI: 1.330
Dielectric constant: 78.5
General Options

Model: Smoluchowski The properties listed here are the default options that are selected in the Zetasizer software. Errors related to the model selection will be evaluated and discussed in the data analysis for this laboratory.
Sample viscosity options: Use dispersant viscosity as sample viscosity
Temperature

Temperature: 25 °C
The default equilibrium time is listed to the left; for courses with time restrictions, a shorter time of 30 s may be inputted.
Equilibration time: 120 s
Cell Select the appropriate option for the type of cell that you are using
Measurement


Measurement duration: Automatic (Minimum runs: 10, Maximum runs: 100) The minimum runs may be increased if the zeta potential does not appear to have stabilized over the course of the measurement. However, the increased risk of electrode blackening or sample degradation should also be considered if increasing the minimum runs
Number of measurements: 3
Delay between measurements: 0 s
Measurement → Advanced
Automatic attenuation: Yes The attenuator setting is optimized as discussed in Laboratory 2 (Dynamic Light Scattering). The voltage setting is optimized by the instrument after taking an initial measurement of the sample conductivity, which is related to the salt concentration.
Automatic voltage selection: Yes
Data Processing Analysis model: General purpose Note that the default setting is “Auto” mode, which does not perform the full suite of M3-PALS measurements when the salt concentration is very high (e.g., > 150 mM) — the fast field reversal is conducted, but not the slow field reversal. Therefore, the reported result is only the mean zeta potential value and not a zeta potential distribution. If a zeta potential distribution is desired, the general purpose mode should be selected.

Sample analysis

  1. As noted in the sample preparation instructions, the Au nanoparticles should not be added until immediately before each measurement. Add 0.1 mL of 60 nm Au nanoparticles to the first sample to be measured, and mix thoroughly.
  2. Insert a Malvern zeta dip cell into the cuvette or load the sample into the disposable zeta cell, ensuring no bubbles have been trapped in the sample. Insert the dip cell assembly or disposable zeta cell into the Zetasizer sample compartment, ensuring that it is oriented in the correct direction and inserted all the way to the bottom such that the electrodes make secure contact with the instrument. Close the compartment.
  3. In the Zetasizer software, open the Manual measurement dialogue. Input the sample name and verify the measurement settings listed in Table L3.1.
  4. Click “Start measurement” to collect the measurements on your sample.
  5. Record your observations on the measurements collected during the lab in the table below (one per sample).

Table L3.2. Observations Noted During Electrophoretic Light Scattering Analysis

RESULT TYPE OBSERVATIONS NOTES
Attenuation factor Attenuator value: See notes in Laboratory 1 (Dynamic Light Scattering).
Conductivity Conductivity value: The measured conductivity value should correlate with the salt concentration.
Voltage Voltage value: The instrument should reduce the applied voltage at higher conductivity if automatic voltage selection was enabled.
Phase plot Inpsect the phase plots for all samples to evaluate the appearance of the plot. The phase plots should show small triangular peaks during the first half of the measurement (fast field reversal) and one large triangular peak during the last half of the measurement (slow field reversal). The direction of the peak (positive or negative) relative to the starting position (0) indicates that the particle is positively or negatively charged, respectively. The slope (and ultimately the overall height/depth of the peak) is indicative of the magnitude of the potential.  If the data appear noisy across the whole plot, this could indicate that the sample charge is close to zero — overlaying multiple samples (charged and uncharged) to compare can assist in evaluating this scenario.
Zeta potential distribution plot Evaluate the overall appearance of the plot, i.e., whether there is a smooth or noisy peak and whether there are multiple peaks. A noisy peak may be improved by increasing the minimum number of runs per measurement.
Sample and electrode appearance Has any change in the sample or electrode color occurred from before to after the measurement? Have any bubbles formed in the sample? Changes in sample/electrode color or formation of bubbles can indicate sample or electrode degradation upon application of the voltage. This issue may be improved by reducing the applied voltage during the measurement.

Shutdown procedure

Save and export all of your data. Discard all samples to the waste containers provided.

4. Data Analysis

The attached Excel file (UH – Exptl Methods Nano – Laboratory 3 Data Analysis Template) contains example data collected in the lab to be processed (sections in orange to be completed by the user following the steps below), along with figures showing the phase plots and zeta potential distributions.

  1. Review the voltage settings that were applied to each of the six samples. Recommendations were discussed in the NCL PCC-2 Method regarding the voltage selection. Discuss the technical reasons for why the voltage selection can be important. Then, inspect your actual data collected in lab: Was there any trend in the applied voltage automatically determined by the instrument as ionic strength increased, and if so, does it match the recommendations?
  2. Review the phase plots, zeta potential distribution plots, and other observations recorded in Table L3.2 for each of the six samples. Guidance related to data quality are noted in Table L3.2 and the NCL PCC-2 Method. Are there any samples where you might have data quality concerns? If so, indicate which sample and describe the issue of concern.
  3. Complete Table L3.3 with the results indicated. Report the mean +/- standard deviation of the triplicate measurements for each sample, and round the reported values to an appropriate number of significant figures based on the standard deviation.Table L3.3. Summary of Results
    Sample Background Electrophoretic Mobility (μm cm V-1 s-1) Zeta potential (mV)
    (i) 1 mM NaCl    
    (ii) 20 mM NaCl    
    (iii) 50 mM NaCl    
    (iv) 100 mM NaCl    
    (v) 1 mM CaCl2    
    (vi) 1 g/L PVP, 1 mM NaCl    
  4. The Smoluchowski model was selected in the Zetasizer software to report the zeta potentials in Data Analysis Part 1 above. Compute the Debye parameter (κ) and the product (κRs) for the seven samples. Does each sample fall within the Smoluchowski regime? Recompute the zeta potential using the Henry equation instead, using the approximation for f(κRs) by Ohshima (1994), cited in the Introduction section above. Compute the % error of the Smoluchowski approximation compared to the Henry equation for each sample. Report all of the results in a table with four columns for κ, κRs, ζHenry, and % error. Remember to include units if relevant.

5. Discussion Questions

  1. Measurement settings
    For ELS measurements, the “Dispersant” tab requires one additional parameter, the dielectric constant or relative permittivity of the solvent, which was not required for the dynamic light scattering measurements in Laboratory 2. Discuss why this property is now required by identifying where (e.g. what model equation) an error in this parameter input would propagate to error in the zeta potential determination by ELS. It is encouraged to refer to the introductory theory section of this laboratory and/or the ASTM E3247-20 standard for relevant discussion to answer this question.
  2. Sensitivity to electrolyte concentration and counterion valence
    For the citrate-stabilized Au nanoparticles in only NaCl (i.e., samples i-iv): Is there any trend in the zeta potential and the electrophoretic mobility with NaCl concentration? Also, compare the Au nanoparticles in 1 mM NaCl and 1 mM CaCl2 (samples i and iv). Which sample has a lower magnitude (less negative) zeta potential? Discuss whether the trends observed with salt concentration and counterion valence meet the theoretical expectations. As part of your discussion, please note the relevant theory (equations) and how the salt concentration or valence impacts the result (e.g. which parameters are affected, and what is the impact in the model equations?).
  3. Sensitivity to surface coatings
    Compare the uncoated (citrate-stabilized) and PVP-coated Au nanoparticles in 1 mM NaCl (samples i and vi). Which sample has a lower magnitude (less negative) electrophoretic mobility?  Is the ELS measurement sensitive to the presence of the coating? Explain theoretically why it would or would not be expected to be sensitive to an adsorbed coating layer.
  4. Data analysis uncertainties
    The Smoluchowski approximation is often used as the default setting to convert electrophoretic mobility to zeta potential, regardless of the sample properties. Inspect your results from Data Analysis Step 4. Was there any trend in the % error with ionic strength (i.e., decreasing, increasing, or no trend in % error as ionic strength increases) when comparing the ζ values using the Smoluchowski model to the ζHenry values? Discuss whether the trend does or does not meet theoretical expectations, considering the assumptions of where the Smoluchowski model applies.
  5. Sensitivity to pH
    Assuming the sample pH was approximately 7 for all of the citrate-stabilized Au nanoparticles measured in this laboratory, discuss how you might expect the zeta potential to change (or not) if the pH was decreased to pH 4 or increased to pH 10, and explain why. It is encouraged to review Activity 1 and Activity 2, which provide relevant information on citrate chemistry, to answer this question.

References

[1] Malvern Instruments, Zetasizer Nano User Manual, MAN0485 Issue 1.1, April 2013, Malvern Instruments: Malvern, Worcestershire, UK.

[2] Ohshima, H., A Simple Expression for Henry’s Function for the Retardation Effect in Electrophoresis of Spherical Colloidal Particles, J. Colloid Interface Sci., 1994, 168, 1, 269-271, https://doi.org/10.1006/jcis.1994.1419.

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