| Literature DB >> 32731486 |
Tony Phan1, Christian Devine1, Erik D Laursen1, Adrian Simpson1, Aaron Kahn1, Amit P Khandhar1, Steven Mesite2, Brad Besse2, Ken J Mabery3, Elizabeth I Flanagan4, Christopher B Fox1,5.
Abstract
Squalene emulsions are among the most widely employed vaccine adjuvant formulations. Among the demonstrated benefits of squalene emulsions is the ability to enable vaccine antigen dose sparing, an important consideration for pandemic response. In order to increase pandemic response capabilities, it is desirable to scale up adjuvant manufacturing processes. We describe innovative process enhancements that enabled the scale-up of bulk stable squalene emulsion (SE) manufacturing capacity from a 3000- to 5,000,000-dose batch size. Manufacture of concentrated bulk along with the accompanying viscosity change in the continuous phase resulted in a ≥25-fold process efficiency enhancement. Process streamlining and implementation of single-use biocontainers resulted in reduced space requirements, fewer unit operations, and minimization of cleaning requirements. Emulsion physicochemical characteristics were measured by dynamic light scattering, laser diffraction, and HPLC with charged aerosol detection. The newly developed full-scale process was demonstrated by producing two 5,000,000-dose batches of bulk concentrated SE. A scale-up of adjuvant manufacturing capacity through process innovation enables more efficient production capabilities for pandemic response.Entities:
Keywords: adjuvant manufacturing; emulsion manufacturing; nanoemulsion; pandemic response; process scale-up; squalene emulsion; vaccine adjuvant
Year: 2020 PMID: 32731486 PMCID: PMC7464178 DOI: 10.3390/ph13080168
Source DB: PubMed Journal: Pharmaceuticals (Basel) ISSN: 1424-8247
Squalene emulsion (SE) composition.
| Component | Concentration in 4% | Concentration in 30% |
|---|---|---|
|
| 34 | 257 |
|
| 0.2 | 1.5 |
|
| 7.6 | 57 |
|
| 0.36 | 2.7 |
|
| 22.7 | 170 |
|
| 2.7 | 20.5 |
|
| 0.17 | 1.2 |
|
| QS | QS |
Figure 1Small-scale (≤1 L) process flow diagram for production of SE.
Effect of sonication on emulsion droplet characteristics.
| Name | Number of Emulsions Manufactured | Particle Diameter(Z-ave, nm) | Polydispersity Index (PdI) |
|---|---|---|---|
|
| 4 | 79.6 ± 7.1 | 0.047 ± 0.004 |
|
| 4 | 86.1 ± 2.6 | 0.045 ± 0.005 |
Note: Emulsions in this experiment were manufactured at 100–200-mL batch size, 4% v/v squalene concentration and 10–12 recirculating passes on the Microfluidics 110-P. Differences in Z-ave and PdI were not statistically significant by Student’s t-test.
Figure 2Emulsion droplet diameter (a) and polydispersity index (b) as a function of dispersed phase volume percent and number of Microfluidizer processing passes. Droplet diameter was measured within one month following manufacture. Error bars represent standard deviation of three measurements from one batch of emulsion produced at each dispersed phase content level. Note that the specific volume of DMPC was not accounted for, thus the concentration of DMPC and other aqueous phase excipients may have varied between ~1–13% from the target concentrations [13].
Viscosity of oil and aqueous phases and corresponding emulsion particle size.
| Description * | Viscosity (cP) ** | Emulsion Particle Diameter (Z-Ave, nm) after 3 Passes (see |
|---|---|---|
| Oil phase | 14.8 | N/A |
| Aqueous phase for 4% SE | 1.4 | 141.5 ± 3.6 |
| Aqueous phase for 10% SE | 1.3 | 132.4 ± 2.1 |
| Aqueous phase for 20% SE | 1.7 | 125.4 ± 1.4 |
| Aqueous phase for 30% SE | 2.3 | 88.5 ± 1.5 |
| Aqueous phase for 30% SE (no glycerol) | 1.4 | 120.2 ± 0.9 |
| Aqueous phase for 40% SE | 3.9 | 76.6 ± 0.4 |
* The specific volume of DMPC was not accounted for, thus the concentration of DMPC and other aqueous phase excipients may have varied between ~1–13% from the target concentrations [13]. ** Viscosity was measured prior to addition of DMPC; DMPC impacts viscosity of both oil and aqueous phases.
Effect of the one-pot approach on emulsion droplet characteristics at small scale (≤200 mL).
| Name | Number of Emulsions Manufactured | Particle Diameter (Z-ave, nm) | Polydispersity Index (PdI) | pH | Conductivity (mS) |
|---|---|---|---|---|---|
|
| 3 | 85.6 ± 8.8 | 0.061 ± 0.008 | 5.2 ± 0.1 | 5.4 ± 0.1 |
|
| 2 | 95.8 ± 18.5 | 0.062 ± 0.016 | 5.3 ± 0.1 | 5.7 ± 0.2 |
Note: Emulsions in this experiment were manufactured at 100–200-mL batch size, 30% v/v squalene concentration and 5 recirculating passes or 4 discrete passes on the Microfluidics 110-P. Differences in Z-ave, PdI, pH, and conductivity were not statistically significant by Student’s t-test.
Pilot scale (10 L) production of 30% v/v SE using one-pot or separate phase methods.
| Name | Number of Emulsions Manufactured | Particle Diameter (Z-ave, nm) | Polydispersity Index (PdI) | % Target Squalene Conc. | % TargetDMPC Conc. |
|---|---|---|---|---|---|
|
| 1 | 96.8 | 0.097 | 98 ± 2 | 103 ± 2 |
|
| 1 | 90.6 | 0.094 | 94 ± 5 | 96 ± 7 |
Note: Emulsions in this experiment were manufactured at 10-L batch size, 30% v/v squalene concentration on the Microfluidics M-7250-30 with a recirculating chiller set to 5 °C. Particle diameter values were measured immediately after the 3rd discrete pass for each batch. The final number of discrete passes was 5 and 3, respectively, for the one-pot and separate phase batches. HPLC measurements were collected 26 mon after manufacture with emulsions stored at 2–8 °C, and the standard deviation from three measurements is shown.
Figure 3Droplet diameter (a) and polydispersity index (b) as a function of number of passes through the Microfluidizer processor in 30% v/v oil-in-water emulsion batches produced at the pilot scale (10 L) using the one-pot approach or the traditional separate phases approach as indicated.
Figure 4Droplet diameter (a) and polydispersity index (b) as a function of number of passes through the indicated Microfluidizer processor model. Error bars represent the standard deviation from three measurements from the same aliquot. The M-7250-30 data are taken from Figure 3. Batch size produced for each model was 10 L (M7250-30), 300 mL (M110-EH), 200 mL (M110P), and 100 mL (LM20). Typical representative flow rate for each Microfluidizer model when processing at 30,000 psi is 2.8 L/min (M7250-30), 400 mL/min (M110-EH), 110 mL/min (M110P), and 80 mL/min (LM20). Prior to Microfluidizer processing, high shear mixing conditions and equipment varied somewhat for the different batches although minimal impact is anticipated from these differences.
Evaluation of filter capacity regarding 30% v/v SE.
| Filter Pore Size (µm) | Vendor * | Filter Membrane Material | Flux Tested (LMH) | Calculated Capacity (L/m2) |
|---|---|---|---|---|
| 0.35/0.2 | Sartorius | PES | 192 | 93 |
| 0.45/0.2 | Sartorius | PES | 175 | 66 |
| 0.45/0.2 | Sartorius | PES, high bubble point | 169 | 55 |
| 0.45/0.2 | Sartorius | PES, surface modified | 175 | 46 |
| 0.45/0.2 | Sartorius | Cellulose acetate | 157 | 40 |
| 0.8/0.2 | Sartorius | PES | 174 | 85 |
| 0.45/0.2 | Pall | PES | 545 | 57 |
| 0.65/0.2 | Pall | PES | 545 | 46 |
| 0.2/0.2 | Pall | PES/PVDF | 545 | 23 |
| 0.2/0.2 | Pall | PVDF | 545 | 2 |
* Sartorius filters were tested the day after emulsion production; Pall filters were tested 2 weeks following production.
Large-scale (200 L) 30% v/v SE batch characterization.
| Target Range | 200-L Batch A | 200-L Batch B | |
|---|---|---|---|
| Date of Manufacture | For information only | 22 May 2018 | 28 November 2018 |
| Particle diameter after 4 recirculating passes on high shear mixer (D50; μm) | ≤7.0 | 4.0 | 4.2 |
| Particle diameter after 3 discrete Microfluidizer passes (Z-ave; nm) | ≤100 | 94 ± 2 | 92 ± 2 |
| Yield % (filtered volume) | For information only | 96% (192 L) | 97% (193 L) |
| Squalene content (% of target) | 80–120 | 99 ± 5 | 114 ± 7 |
| DMPC content (% of target) | 80–120 | 103 ± 5 | 119 ± 7 |
| pH | 5.0–5.5 | 5.2 | 5.2 |
| Processing time (h) | ≤10 | 7 | 7 |
Figure 5Physical stability of the two large-scale batches from Table 7 when stored at 2–8 °C. Droplet diameter (a) and polydispersity index (b) remain stable for a minimum of 12–18 months. Error bars represent the standard deviation of 8–9 measurements.
Figure 6Large-scale (200 L) process flow diagram for one-pot production of SE.