Abstract
Purpose
Characterization of submicron protein particles continues to be challenging despite active developments in the field. NTA is a submicron particle enumeration technique, which optically tracks the light scattering signal from suspended particles undergoing Brownian motion. The submicron particle size range NTA can monitor in common protein formulations is not well established. We conducted a comprehensive investigation with several protein formulations along with corresponding placebos using NTA to determine submicron particle size distributions and shed light on potential non-particle origin of size distribution in the range of approximately 50–300 nm.
Methods
NTA and DLS are performed on polystyrene size standards as well as protein and placebo formulations.
Results
Protein formulations filtered through a 20 nm filter, with and without polysorbate-80, show NTA particle counts. As such, particle counts above 20 nm are not expected in these solutions. Several other systems including positive and negative controls were studied using NTA and DLS.
Conclusions
These apparent particles measured by NTA are not observed in DLS measurements and may not correspond to real particles. The intent of this article is to raise awareness about the need to interpret particle counts and size distribution from NTA with caution.
Similar content being viewed by others
Abbreviations
- CCD:
-
Charge Coupled Device
- DLS:
-
Dynamic Light Scattering
- MFI:
-
Micro-Flow Imaging
- NTA:
-
Nanoparticle Tracking Analysis
References
Dimitrov DS. Therapeutic proteins. Methods Mol Biol. 2012;899:1–26.
Das TK. Protein particulate detection issues in biotherapeutics development - current status. AAPS PharmSciTech. 2012;13(2):732–46.
Joubert MK, Luo Q, Nashed-Samuel Y, Wypych J, Narhi LO. Classification and characterization of therapeutic antibody aggregates. J Biol Chem. 2011;286(28):25118–33.
Filipe V, Hawe A, Jiskoot W. Critical evaluation of Nanoparticle Tracking Analysis (NTA) by nanosight for the measurement of nanoparticles and protein aggregates. Pharm Res. 2010;27(5):796–810.
Barnard JG, Babcock K, Carpenter JF. Characterization and quantitation of aggregates and particles in interferon-β products: potential links between product quality attributes and immunogenicity. J Pharm Sci. 2013;102(3):915–28.
Surfactant micelle characterization using dynamic light scattering. Zetasizer Nano application note, no. MRKB09-01. Malvern Instruments.
Sigh SK, Afonina N, Awwd M, Bechtold-Peters K, Blue JT, Chou D, et al. An industry perspective on the monitoring of subvisible particles as a quality attribute for protein therapeutics. J Pharm Sci. 2010;99(8):3302–21.
Wright M. Nanoparticle tracking analysis for the multiparameter characterization and counting of nanoparticle suspensions. Methods Mol Biol. 2012;906(6):511–24.
Saveyn H, De Baets B, Thas O, Hole P, Smith J, Van der Meeren P. Accurate particle size distribution determination by nanoparticle. J Colloid Interface Sci. 2010;352:593–600.
Choi I, Lee L. Rapid detection of Aβ aggregation and inhibition by dual functions of gold nanoplasmic particles: catalytic activator and optical reporter. ACS Nano. 2013;23(7):6268–77.
Torosantucci R, Weinbuch D, Klem R, Jiskoot W. Triethylenetetramine prevents insulin aggregation and fragmentation during copper catalyzed oxidation. Eur J Pharm Biopharm. 2013;8(3):464–71.
Song H, Geng H, Ruan J, Wang K, Bao C, Wang J, et al. Development of Polysorbate 80/Phospholipid mixed micellar formation for docetaxel and assessment of its in vivo distribution in animal models. Nanoscale Res Lett. 2011;6(354):1–12.
ACKNOWLEDGMENTS AND DISCLOSURES
We thank Dr. Sibylle Herzer and Matthew Conover of Bristol-Myers Squibb Process Development group for help with preparing the nanofiltered samples, and Dr. Reb Russell of New Jersey Biologics Development for encouragement and support. We also thank Dr. Ragy Ragheb and Dr. Jonathan Mehtala of Nanosight (Malvern) for helpful discussions on NTA instrument parameters. We thank an anonymous reviewer for insightful comments during review regarding potential root cause of NTA spurious peaks. The authors declare no personal financial or non-financial conflicts of interest.
Author information
Authors and Affiliations
Corresponding author
Electronic supplementary material
Below is the link to the electronic supplementary material.
Figure S1
(PDF 834 kb)
Rights and permissions
About this article
Cite this article
Bai, K., Barnett, G.V., Kar, S.R. et al. Interference from Proteins and Surfactants on Particle Size Distributions Measured by Nanoparticle Tracking Analysis (NTA). Pharm Res 34, 800–808 (2017). https://doi.org/10.1007/s11095-017-2109-3
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11095-017-2109-3