ArticleAnalytical chemistry2019
Enhanced Sample Handling for Analytical Ultracentrifugation with 3D-Printed Centerpieces.
Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- The State of the Art in Defect Monitoring Technologies for Selective Laser Melting Processes.3D printing and additive manufacturing · 2026Article
- Development of an advanced multiwavelength emission detector for the analytical ultracentrifuge.Nanoscale advances · 2024Article
- Versatile Capillary Cells for Handling Concentrated Samples in Analytical Ultracentrifugation.Analytical chemistry · 2024Article
- An automated interface for sedimentation velocity analysis in SEDFIT.PLoS computational biology · 2023Article
- Comparison of three AUC techniques for the determination of the loading status and capsid titer of AAVs.European biophysics journal : EBJ · 2023Article
- An automated interface for sedimentation velocity analysis in SEDFIT.bioRxiv : the preprint server for biology · 2023Article
- Global multi-method analysis of interaction parameters for reversibly self-associating macromolecules at high concentrations.Scientific reports · 2021Article
- Low-cost and open-source strategies for chemical separations.Journal of chromatography. A · 2021Review
- Using modern approaches to sedimentation velocity to detect conformational changes in proteins.European biophysics journal : EBJ · 2020Article
- Sedimentation Velocity Analytical Ultracentrifugation Analysis of Marketed Rituximab Drug Product Size Distribution.Pharmaceutical research · 2020Article
- Resuspending samples in analytical ultracentrifugation.Analytical biochemistry · 2020Article
- Efficient data acquisition with three-channel centerpieces in sedimentation velocity.Analytical biochemistry · 2019Article
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
The centerpiece of the sample cell assembly in analytical ultracentrifugation holds the sample solution between windows, sealed against high vacuum, and is shaped such that macromolecular migration in centrifugal fields exceeding 200 000g can proceed undisturbed by walls or convection while concentration profiles are imaged with optical detection systems aligned perpendicular to the plane of rotation. We have recently shown that 3D printing using various materials allows inexpensive and rapid manufacturing of centerpieces. In the present work, we expand this endeavor to examine the accuracy of the measured sedimentation process, as well as short-term durability of the centerpieces. We find that 3D-printed centerpieces can be used many times and can provide data equivalent in quality to commonly used commercial epoxy resin centerpieces. Furthermore, 3D printing enables novel designs adapted to particular experimental objectives because they offer unique opportunities, for example, to create well-defined curved surfaces, narrow channels, and embossed features. We present examples of centerpiece designs exploiting these capabilities for improved AUC experiments. This includes narrow sector centerpieces that substantially reduce the required sample volume while maintaining the standard optical path length; thin centerpieces with integrated window holders to provide very short optical pathlengths that reduce optical aberrations at high macromolecular concentrations; long-column centerpieces that increase the observable distance of macromolecular migration for higher-precision sedimentation coefficients; and three-sector centerpieces that allow doubling the number of samples in a single run while reducing the sample volumes. We find each of these designs allows unimpeded macromolecular sedimentation and can provide high-quality sedimentation data.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.