ABSTRACT
We present a compact, 3D‐printed device designed to facilitate the efficient packing of semisolid or highly viscous samples into 3.2‐mm rotors compatible with cryogenic solid‐state NMR probes. The tool enables sample loading by centrifugation under standard laboratory conditions, significantly improving packing reproducibility and minimizing sample loss. In contrast to previously reported designs for conventional rotors, this device is optimized for the expanded volume and geometrical constraints of 90‐μL rotors used in the Bruker CPMAS cryoprobe. A complementary unloading tool is also described to recover samples or enable rotor reuse. Both tools are compatible with standard benchtop centrifuges and are fully customizable. Their implementation improves sample handling for biological or material samples with limited availability or challenging rheological properties. Open‐access 3D design files are provided to support broad adoption and future adaptation to other rotor sizes or sample formats. These devices represent a scalable solution for routine use and may inspire further development of customized tools for challenging sample types.
Keywords: cryoprobe MAS, packing device, sample packing, semisolid samples, solid‐state NMR
The packing tools facilitate the handling of semisolid samples by enabling reproducible centrifugation‐based packing and controlled unloading into 3.2‐mm rotors used in cryogenic probes, thereby optimizing sample preparation for solid‐state NMR.

1. Introduction
Solid‐state nuclear magnetic resonance (ssNMR) has emerged as an essential tool for the structural and dynamic characterization of systems with high molecular complexity, restricted mobility, or intrinsic heterogeneity [1, 2, 3, 4]. Unlike other techniques, ssNMR does not require crystalline samples, is independent of solubility, and is not limited by molecular size, allowing access to a wide range of biological samples and functional materials under conditions close to their native state [5, 6]. This versatility has enabled the study of systems ranging from inorganic polymers and extracellular matrix biopolymers to supramolecular complexes such as nucleosomes, membrane proteins in lipid bilayers, amyloid fibers, and bacterial cell walls [7, 8, 9, 10, 11, 12].
The development of this technique has been closely linked to the progressive increase in magic‐angle spinning (MAS) frequencies, a fundamental strategy for suppressing dipolar interactions and chemical shift anisotropy, which would otherwise lead to significant spectral line broadening [13]. Since the implementation of the first 7‐ and 4‐mm rotors capable of reaching spinning speeds of approximately 5 and 10–15 kHz, respectively, the technology has evolved toward smaller diameter rotors, such as 3.2, 2.5, and 1.3 mm, enabling spinning speeds exceeding 60 kHz [14, 15]. Currently, rotors of 0.7 mm and even smaller, such as 0.4 mm, can achieve spinning rates above 150 kHz, driving remarkable improvements in spectral resolution and substantially narrowing the gap between the spectral quality of ssNMR and that of solution‐state NMR [16, 17].
Proper sample packing in the rotor is a fundamental aspect of ssNMR, as it directly influences magnetic field homogeneity and the quality of the resulting spectra [18]. Achieving precise and uniform filling remains a significant challenge. The small internal volumes of ssNMR rotors limit direct manipulation of the sample, increasing the risk of uneven compaction or void formation factors that can compromise both spinning stability and spectral sensitivity [19]. These difficulties become even more pronounced when working with semisolid or highly viscous samples, where controlled transfer and compaction within the rotor demand delicate handling and reproducibility depends on well‐defined sample hydration and density conditions [20, 21].
To address the difficulties associated with packing samples into rotors of various sizes, several strategies have been developed to maximize both efficiency and uniformity of loading. One of the most reliable methods for handling semisolid samples is centrifugation, which facilitates uniform compaction while reducing the occurrence of internal voids [22]. In this context, the design of specialized devices using 3D printing has opened new possibilities for precise sample handling and loading, providing accessible and customizable solutions [22, 23, 24, 25]. A notable example is the development of adapters and devices compatible with ultracentrifuges, which enable in situ sedimentation of biomolecules directly within the rotor. This approach increases the effective sample concentration within the active volume and enhances both spinning stability and spectral sensitivity, especially when using small‐diameter rotors [26, 27, 28].
The ongoing technological progress in ssNMR spectroscopy has led to significant hardware developments, among which the implementation of MAS cryogenic probes stands out. Similar to their impact in solution‐state NMR, these cryoprobes have marked a turning point in sensitivity [29]. Operating at low temperatures and equipped with optimized detectors, they enable a substantial improvement in signal‐to‐noise ratio, facilitating the acquisition of high‐resolution multidimensional spectra from minimal sample amounts [30, 31, 32].
In parallel, the implementation of this technology has been accompanied by the introduction of rotors with specific geometries. While maintaining the nominal outer diameter of 3.2 mm, the rotors used in solid‐state cryoprobes differ internally from standard designs. Conventional models typically offer an internal volume of approximately 47 μL, whereas cryoprobe‐compatible versions can reach up to 90 μL.
With the increasing use of cryogenic probes in the field of ssNMR, the demand for practical and broadly accessible devices to support sample preparation in rotors with specialized geometries has become increasingly apparent. Although several devices have been developed to accommodate a variety of rotor types, there are currently no documented devices specifically designed for the internal geometry of the 3.2‐mm rotor used in cryogenic MAS probes.
In this work, we propose the design of two 3D‐printed devices: one for efficient sample packing by centrifugation, and another for controlled rotor unloading. Both are compatible with standard 1.5‐mL tubes and benchtop centrifuges. These devices will be made available as open‐access designs to support their implementation in diverse experimental settings and to contribute to the refinement of practical protocols in ssNMR.
2. Methods
2.1. 3D Printing of Components
The devices used for sample packing and unloading were designed using Blender [33] exported in STL format and processed with the Lychee slicing software [34]. Fabrication was carried out via stereolithography [35] using an Anycubic Photon Mono X 6K 3D printer (Anycubic Technology Company, Hong Kong, China), with a layer height of 50 μm and an exposure time of 2.5 s per layer. Washable resin from Anycubic (Anycubic Technology Company, Hong Kong, China) was used for printing. After printing, the parts were transferred to an Anycubic Wash & Cure station (Anycubic Technology Company, Hong Kong, China), where they were washed with water for 30 min to remove residual resin. Finally, the printed components were cured under 405‐nm ultraviolet (UV) light for 15 min at room temperature to ensure complete polymerization of the material.
2.2. Sample Packing
After obtaining the semisolid sample (which may include amyloid fibers or other aggregates), the sample is first centrifuged at 4000 × g for 10 min to concentrate the material. The resulting pellet was carefully transferred to a 1.5‐mL microcentrifuge tube and subjected to a second centrifugation at 10,000 × g for 15 min to obtain a compact pellet. After centrifugation, the supernatant was gently removed to avoid disturbing the sediment. A 3.2‐mm rotor with a 90‐μL volume was placed into the 3D‐printed device face up and inserted into a 1.5‐mL microcentrifuge tube. Since the material of interest was concentrated at the bottom of the previous tube, the lower section of that tube was carefully cut, allowing the segment containing the pellet to be inserted upside down directly into the filling device. This approach enabled a more efficient transfer of the concentrated material into the rotor, minimizing sample loss and providing better control over compaction. The assembled device was then subjected to a final centrifugation at 20,000 × g for 30 min.
2.3. Rotor Unloading
To recover the sample or reuse the rotor after NMR acquisition, an auxiliary unloading device was used. The rotor was placed in an inverted position within the device, such that its open end faced downward. The device is compatible with standard 1.5‐mL microcentrifuge tubes. This configuration enabled rotor emptying by centrifugation at 20,000 × g for 20 min.
3. Results and Discussion
The use of ultracentrifugation‐based devices has been extensively documented as an effective strategy for sample packing in MAS rotors, particularly through direct sedimentation of material within the rotor [36, 37]. In this study, an alternative approach based on conventional centrifugation at 20,000 × g was employed, which proved sufficient to achieve homogeneous compaction of semisolid samples [38]. This choice enabled the design of a device compatible with standard 1.5‐mL microcentrifuge tubes and benchtop centrifuges, facilitating its implementation in typical laboratory environments without compromising packing efficiency or spectral quality.
Unlike other tools described in the literature that rely on funnel‐like structures to guide the sample into the rotor cavity [37], the design proposed here avoids the use of narrow channels prone to clogging. Instead, it features an open conical geometry that directs the material smoothly and continuously into the rotor. This configuration minimizes blockage points and allows for a cleaner and more controlled transfer. The design is shown in Figure 1, which illustrates the integration of the entry cone with the rotor cavity.
FIGURE 1.

Centrifugation‐based packing device for 3.2‐mm rotors. (A) Schematic representation of the 3D‐printed device, highlighting its functional components. (B) Standard 3.2‐mm rotor used in cryogenic MAS probes. (C) Assembled system view, showing the integration of the rotor within the device and its compatibility with standard 1.5‐mL microcentrifuge tubes.
During development, it was observed that poor coupling between the structure and the rotor could lead to sample leakage, particularly in the gaps between the printed part and the rotor. To prevent sample loss, the channel diameter was progressively adjusted in 0.01‐mm increments until a sufficiently tight fit was achieved, ensuring complete and efficient transfer of the material into the rotor. Due to the high level of precision required, a small hole was also incorporated at the base of the device, allowing the rotor to be gently pushed out using a micropipette tip without causing damage (Figure 1).
The quality of the fit between the device and the rotor largely depends on the geometric accuracy achieved during the printing process. As reported in previous studies [24, 37], the orientation of the model during stereolithography significantly influences both the resolution and structural stability of parts with defined internal geometries. In this case, it was found that a fully vertical orientation was the most suitable, as it prevented distortions in the central channel where the rotor is inserted, which is critical to avoid sample leakage.
Adapting the device design to the standard 1.5‐mL tube format enabled a practical sample‐packing strategy: directly placing the sample into the device followed by centrifugation. This approach is feasible for certain types of samples, particularly those that are homogeneous and flow easily. However, in practice, many semisolid or viscous samples tend to clog pipette tips, making precise transfer difficult. Although a common solution is to cut off the narrow ends of pipette tips to prevent clogging, this can lead to sample loss if the material is not fully transferred. As an alternative, a more efficient approach was adopted: The sample was first centrifuged in a 1.5‐mL tube to form a compact pellet, after which the lower section of the tube containing the concentrated material was carefully cut and inverted onto the filling device. This strategy, inspired by a procedure described by Wang et al. (2013) to maximize sample transfer into MAS rotors, significantly reduces handling, minimizes sample loss, and ensures direct transfer of the material into the rotor cavity (Figure 2). Although the proposed centrifugation times worked well for our samples, the compaction (10,000 × g for 15 min) and transfer processes (20,000 × g for 30 min) may vary depending on the properties of each preparation. Therefore, it is advisable to adjust the duration, especially during the final rotor filling step, to ensure efficient packing that guarantees stable and secure rotor spinning. To compensate for potential tilt effects caused by the rotor angle in the centrifuge, the procedure can be repeated after rotating the tube 180° to promote a more uniform distribution.
FIGURE 2.

Schematic representation of the sample packing protocol. (A) Sample concentration by centrifugation to form a compact pellet. (B) Removal of the lower segment of the 1.5‐mL tube to expose the pellet. (C) Positioning of the tube segment onto the preassembled packing device containing the rotor. (D) Centrifugation of the system to drive the sample into the rotor cavity. (E) Packed rotor ready for use.
To complete the sample handling system, an auxiliary device was designed for rotor unloading, intended for applications in which the sample needs to be recovered or when the rotor is to be reused without excessive handling. The design remains compatible with standard 1.5‐mL tubes and allows the rotor to be placed in an inverted orientation. Unlike the filling device, this model features a wider bottom opening to facilitate content release by centrifugation (Figure 3). This solution provides a practical option for laboratories working with valuable samples or requiring post‐collection procedures with minimal manual intervention.
FIGURE 3.

Rotor unloading device. (A) Schematic view of the unloading device design, highlighting the rotor cavity and the wide bottom outlet. (B) Usage protocol: The rotor is placed in an inverted position within the device and centrifuged to release its contents.
This work aligns with a growing trend in which 3D printing has proven to be a valuable tool for addressing and improving experimental protocols in ssNMR. It enables the design of customized solutions tailored to specific needs. Within this context, the devices presented here expand the available repertoire with a particular focus on the efficient handling of semisolid samples in cryoprobe rotors, combining operational simplicity, reproducibility, and open accessibility for local fabrication and implementation.
4. Conclusion
The increasing use of cryogenic probes in ssNMR studies has highlighted the need for specialized tools to handle samples in 90‐μL rotors. In this work, a 3D‐printed device was developed and validated for the efficient packing of semisolid samples into 3.2‐mm rotors, optimizing sample transfer and minimizing manual handling. Its modular design, focused on operational simplicity, addresses limitations of conventional configurations and can be adapted to other formats. By providing the design files as an open‐access resource, this device facilitates implementation across different laboratories and encourages the continued development of experimental solutions within a collaborative and evolving research environment.
Conflicts of Interest
The authors declare no conflicts of interest.
Peer Review
The peer review history for this article is available at https://www.webofscience.com/api/gateway/wos/peer‐review/10.1002/mrc.70010.
Supporting information
Figure S1. Identification of packing device variants. (A) Schematic representation of the 3D‐printed packing device designed for 3.2‐mm rotors. (B) View of the top surface of the device showing the engraved markings used to identify the internal cavity diameter where the rotor is inserted. Four variants are included: 3.27 mm (no marking), 3.28 mm (one mark), 3.29 mm (two marks), and 3.30 mm (three marks).
Data S1. 3D files.
Data S2. Disclaimer and Important Notice.
Acknowledgments
This work was developed within the scientific framework of the ERC‐funded project BiFOLDOME (Grant 101042403), led by Miguel Mompeán (CSIC), and funded by the European Union. Views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them. G.A.T.‐D. acknowledges support from FJC2021‐047976‐I funded by MCIN/AEI/10.13039/501100011033 and the European Union Next Generation EU/PRTR. The authors also acknowledge the “Manuel Rico” NMR Laboratory (LMR) of the Spanish National Research Council (CSIC), a node of the Spanish Large‐Scale National Facility (ICTS R‐LRB), as the infrastructure for which this device was designed and validated.
Gelardo A. and Titaux‐Delgado G., “3D‐Printed Device for Efficient Packing of Semisolid Samples in 3.2‐mm Rotors Used in Cryoprobe Systems,” Magnetic Resonance in Chemistry 63, no. 10 (2025): 762–767, 10.1002/mrc.70010.
Funding: This work was supported by the European Union (ERC‐BiFOLDOME), 101042403, and MCIN/AEI/10.13039/501100011033 and the European Union Next Generation/PRTR, FJC2021‐047976‐I.
Data Availability Statement
The data that support the findings of this study are available in the Supporting Information of this article.
References
- 1. Demers J.‐P., Fricke P., Shi C., Chevelkov V., and Lange A., “Structure Determination of Supra‐Molecular Assemblies by Solid‐State NMR: Practical Considerations,” Progress in Nuclear Magnetic Resonance Spectroscopy 109 (2018): 51–78, 10.1016/j.pnmrs.2018.06.002. [DOI] [PubMed] [Google Scholar]
- 2. Liu J., Wu X.‐l., Zeng Y.‐t., Hu Z.‐h., and Lu J.‐x., “Solid‐State NMR Studies of Amyloids,” Structure 31, no. 3 (2023): 230–241, 10.1016/j.str.2023.01.005. [DOI] [PubMed] [Google Scholar]
- 3. Siemer A. B., “Advances in Studying Protein Disorder with Solid‐State NMR,” Solid State Nuclear Magnetic Resonance 106 (2020): 101643, 10.1016/j.ssnmr.2020.101643. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4. Separovic F., Keizer D. W., and Sani M.‐A., “In‐Cell Solid‐State NMR Studies of Antimicrobial Peptides,” Frontiers in Medical Technology 2 (2020): 610203, 10.3389/fmedt.2020.610203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ahlawat S., Mote K. R., Lakomek N.‐A., and Agarwal V., “Solid‐State NMR Methods for Biological Solids,” Chemical Reviews 122, no. 10 (2022): 9643–9737, 10.1021/acs.chemrev.1c00852. [DOI] [PubMed] [Google Scholar]
- 6. Linser R., “Solid‐State NMR Spectroscopic Trends for Supramolecular Assemblies and Protein Aggregates,” Solid State Nuclear Magnetic Resonance 87 (2017): 45–53, 10.1016/j.ssnmr.2017.08.003. [DOI] [PubMed] [Google Scholar]
- 7. Morales D. J. and Greenbaum S., “NMR Investigations of Crystalline and Glassy Solid Electrolytes for Lithium Batteries: A Brief Review,” International Journal of Molecular Sciences 21, no. 9 (2020): 3402, 10.3390/ijms21093402. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Wang T. and Hong M., “Solid‐State NMR Investigations of Cellulose Structure and Interactions With Matrix Polysaccharides in Plant Primary Cell Walls,” Journal of Experimental Botany 67, no. 2 (2016): 503–514, 10.1093/jxb/erv416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Ackermann B. E. and Debelouchina G. T., “Emerging Contributions of Solid‐State NMR Spectroscopy to Chromatin Structural Biology,” Frontiers in Molecular Biosciences 8 (2021): 741581, 10.3389/fmolb.2021.741581. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Xie H., Zhao Y., Zhao W., Chen Y., Liu M., and Yang J., “Solid‐State NMR Structure Determination of a Membrane Protein in E. coli Cellular Inner Membrane,” Science Advances 9, no. 44 (2023): eadh4168, 10.1126/sciadv.adh4168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Mompeán M., Li W., Li J., et al., “The Structure of the Necrosome RIPK1–RIPK3 Core, a Human Hetero‐Amyloid Signaling Complex,” Cell 173, no. 5 (2018): 1244–1253, 10.1016/j.cell.2018.03.032. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Vallet A., Ayala I., Perrone B., et al., “MAS NMR Experiments of Corynebacterial Cell Walls: Complementary 1H‐ and CPMAS CryoProbe‐Enhanced 13C‐Detected Experiments,” Journal of Magnetic Resonance 364 (2024): 107708, 10.1016/j.jmr.2024.107708. [DOI] [PubMed] [Google Scholar]
- 13. Nishiyama Y., “Fast Magic‐Angle Spinning Solid‐State NMR at 60–100 kHz for Natural Abundance Samples,” Solid State Nuclear Magnetic Resonance 78 (2016): 24–36, 10.1016/j.ssnmr.2016.06.002. [DOI] [PubMed] [Google Scholar]
- 14. Langer V., Daugaard P., and Jakobsen H. J., “Ultrahigh Spinning Rates for a 7 mm Rotor in Multinuclear CP/MAS NMR Spectroscopy of Solids,” Journal of Magnetic Resonance 70, no. 3 (1986): 472–475, 10.1016/0022-2364(86)90138-1. [DOI] [Google Scholar]
- 15. Daskalov A., El Mammeri N., Lends A., et al., “Structures of Pathological and Functional Amyloids and Prions, a Solid‐State NMR Perspective,” Frontiers in Molecular Neuroscience 14 (2021): 670513, 10.3389/fnmol.2021.670513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Ji Y., Liang L., Bao X., and Hou G., “Recent Progress in Dipolar Recoupling Techniques Under Fast MAS in Solid‐State NMR Spectroscopy,” Solid State Nuclear Magnetic Resonance 112 (2021): 101711, 10.1016/j.ssnmr.2020.101711. [DOI] [PubMed] [Google Scholar]
- 17. Korvink J. G., “A Perspective for Magic Angle Spinning Above 250 kHz‐OptiMAS,” Magnetic Resonance 4 (2023): 95–117, 10.5194/mr-2022-24. [DOI] [Google Scholar]
- 18. Lacabanne D., Fogeron M.‐L., Wiegand T., Cadalbert R., Meier B. H., and Böckmann A., “Protein Sample Preparation for Solid‐State NMR Investigations,” Progress in Nuclear Magnetic Resonance Spectroscopy 110 (2019): 20–33, 10.1016/j.pnmrs.2019.01.001. [DOI] [PubMed] [Google Scholar]
- 19. Mandal A., Boatz J. C., Wheeler T. B., and van der Wel P. C. A., “On the Use of Ultracentrifugal Devices for Routine Sample Preparation in Biomolecular Magic‐Angle‐Spinning NMR,” Journal of Biomolecular NMR 67, no. 2 (2017): 165–178, 10.1007/s10858-017-0089-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Gopinath T., Weber D., Wang S., Larsen E., and Veglia G., “Solid‐State NMR of Membrane Proteins in Lipid Bilayers: To Spin or Not to Spin?,” Accounts of Chemical Research 54, no. 6 (2021): 1430–1439, 10.1021/acs.accounts.0c00670. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Zhang Z., Chen Y., Tang X., Li J., Wang L., and Yang J., “Solid‐State NMR Shows That Dynamically Different Domains of Membrane Proteins Have Different Hydration Dependence,” Journal of Physical Chemistry B 118, no. 34 (2014): 9553–9564, 10.1021/jp503032h. [DOI] [PubMed] [Google Scholar]
- 22. Hisao G. S., Harland M. A., Brown R. A., Berthold D. A., Wilson T. E., and Rienstra C. M., “An Efficient Method and Device for Transfer of Semisolid Materials Into Solid‐State NMR Spectroscopy Rotors,” Journal of Magnetic Resonance 265 (2016): 172–176, 10.1016/j.jmr.2016.01.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Banks D., Michael B., Golota N., and Griffin R. G., “3D‐Printed Stators & Drive Caps for Magic‐Angle Spinning NMR,” Journal of Magnetic Resonance 335 (2022): 107126, 10.1016/j.jmr.2021.107126. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Amerein C., Banerjee U., Pang Z., Lu W., Pimenta V., and Tan K. O., “In‐House Fabrication of 1.3 to 7 mm MAS Drive Caps Using Desktop 3D Printers,” Journal of Magnetic Resonance 348 (2023): 107391, 10.1016/j.jmr.2023.107391. [DOI] [PubMed] [Google Scholar]
- 25. Long Z., Ruthford J., and Opella S. J., “3D Printed Sample Tubes for Solid‐State NMR Experiments,” Journal of Magnetic Resonance 327 (2021): 106957, 10.1016/j.jmr.2021.106957. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Gardiennet C., Schütz A. K., Hunkeler A., et al., “A Sedimented Sample of a 59 kDa Dodecameric Helicase Yields High‐Resolution Solid‐State NMR Spectra,” Angewandte Chemie International Edition 51, no. 31 (2012): 7855–7858, 10.1002/anie.201200779. [DOI] [PubMed] [Google Scholar]
- 27. Bertini I., Engelke F., Gonnelli L., et al., “On the Use of Ultracentrifugal Devices for Sedimented Solute NMR,” Journal of Biomolecular NMR 54, no. 2 (2012): 123–127, 10.1007/s10858-012-9657-y. [DOI] [PubMed] [Google Scholar]
- 28. Shi F., Zhang T., Li J., Shi C., and Xiang S., “Studying Large Biomolecules as Sedimented Solutes With Solid‐State NMR,” Biophysics Reports 10, no. 4 (2024): 201–212, 10.52601/bpr.2024.240014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Hassan A., Quinn C. M., Struppe J., et al., “Sensitivity Boosts by the CPMAS CryoProbe for Challenging Biological Assemblies,” Journal of Magnetic Resonance 311 (2020): 106680, 10.1016/j.jmr.2019.106680. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Perrone B., Gunnarsson M., Bernin D., Sparr E., and Topgaard D., “Cryogenic Probe Technology Enables Multidimensional Solid‐State NMR of the Stratum Corneum Without Isotope Labeling,” Solid State Nuclear Magnetic Resonance 134 (2024): 101972, 10.1016/j.ssnmr.2024.101972. [DOI] [PubMed] [Google Scholar]
- 31. Du Y., Struppe J., Perrone B., Hassan A., Codina A., and Su Y., “Efficient Analysis of Pharmaceutical Drug Substances and Products Using a Solid‐State NMR CryoProbe,” Analyst 148, no. 4 (2023): 724–734, 10.1039/d2an01903e. [DOI] [PubMed] [Google Scholar]
- 32. Gopinath T., Shin K., Tian Y., et al., “Solid‐State NMR MAS Cryoprobe Enables Structural Studies of Human Blood Protein Vitronectin Bound to Hydroxyapatite,” Journal of Structural Biology 216 (2024): 108061, 10.1016/j.jsb.2024.108061. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Blender Online Community , “Blender – A 3D Modelling and Rendering Package,” Blender Foundation. Amsterdam, The Netherlands, https://www.blender.org/.
- 34. Mango 3D , “Lychee Slicer – 3D Printing Software for Resin Printers,” Version 7.2, Mango 3D, France, https://mango3d.io/lychee‐slicer/.
- 35. Huang J., Qin Q., and Wang J., “A Review of Stereolithography: Processes and Systems,” Processes 8, no. 9 (2020): 1138, 10.3390/pr8091138. [DOI] [Google Scholar]
- 36. Osborn Popp T. M., Matchett B. T., Green R. G., et al., “3D‐Printable Centrifugal Devices for Biomolecular Solid‐State NMR Rotors,” Journal of Magnetic Resonance 354 (2023): 107524, 10.1016/j.jmr.2023.107524. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37. Olson M. A., Han R., Ravula T., et al., “A Complete 3D‐Printed Tool Kit for Solid‐State NMR Sample and Rotor Handling,” Journal of Magnetic Resonance 366 (2024): 107748, 10.1016/j.jmr.2024.107748. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Das N., Murray D. T., and Cross T. A., “Lipid Bilayer Preparations of Membrane Proteins for Oriented and Magic‐Angle Spinning Solid‐State NMR Samples,” Nature Protocols 8, no. 11 (2013): 2256–2270, 10.1038/nprot.2013.129. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figure S1. Identification of packing device variants. (A) Schematic representation of the 3D‐printed packing device designed for 3.2‐mm rotors. (B) View of the top surface of the device showing the engraved markings used to identify the internal cavity diameter where the rotor is inserted. Four variants are included: 3.27 mm (no marking), 3.28 mm (one mark), 3.29 mm (two marks), and 3.30 mm (three marks).
Data S1. 3D files.
Data S2. Disclaimer and Important Notice.
Data Availability Statement
The data that support the findings of this study are available in the Supporting Information of this article.
