Solute Transport in Engineered Living Materials Using Bone‐Inspired Microscale Channel Networks
Source abstract
Abstract
Engineered living materials (ELMs) are an emerging class of materials that are synthesized and/or populated by living cells to achieve novel functionalities including self‐healing and sensing. Providing nutrients to living cells within an ELM over prolonged periods remains a major technical challenge that limits the service life of ELMs. Bone maintains living cells for decades by delivering nutrients through a network of nanoscale channels punctuated by microscale pores. Nutrient transfer in bone is enabled by mechanical loading experienced by the material during regular use. Herein, the geometric traits of the network of channels and pores that can be used in ELMs to allow mechanical loading to enable nutrient delivery to resident cell populations are identified in a manner seen in bone. Transport occurs when deformation in the microscale pore network exceeds the volume of the connecting channels. Computational models show that transport is enhanced at greater loading magnitudes and lower loading frequencies. The computational results are confirmed using experiments with microfluidic systems. In the findings, quantitative design principles are provided for channel‐pore networks capable of sustained delivery of nutrients to living cells within materials.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: 3D Printing in Biomedical Research · Bone Tissue Engineering Materials · Cellular Mechanics and Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Sibley School of Mechanical and Aerospace Engineering Cornell University Ithaca NY 14853 USA
Meinig School of Biomedical Engineering Cornell University Ithaca NY 14853 USA
Departments of Bioengineering and Therapeutic Sciences and Orthopedic Surgery University of California San Francisco CA 94143 USA
Chan Zuckerberg Biohub San Francisco CA 94143 USA
Funding
Division of Civil, Mechanical and Manufacturing Innovation · National Science Foundation
References (20)
Show source-provided references
1. 10.1038/s41589-021-00773-y10.1038/s41589-021-00773-y ↗
2. 10.1016/j.xcrp.2022.10105410.1016/j.xcrp.2022.101054 ↗
3. 10.1002/adma.20220132610.1002/adma.202201326 ↗
4. 10.1038/s41563-021-01123-y10.1038/s41563-021-01123-y ↗
5. 10.1038/s41563-022-01231-310.1038/s41563-022-01231-3 ↗
6. 10.1016/j.matt.2021.08.00110.1016/j.matt.2021.08.001 ↗
7. 10.1002/adma.20170484710.1002/adma.201704847 ↗
8. 10.1073/pnas.161830711410.1073/pnas.1618307114 ↗
9. 10.1021/bm060649h10.1021/bm060649h ↗
10. 10.1038/s41598-023-27640-110.1038/s41598-023-27640-1 ↗
11. 10.1114/1.131753110.1114/1.1317531 ↗
12. 10.1111/j.1365-2958.2012.08063.x10.1111/j.1365-2958.2012.08063.x ↗
13. Neuman W. · Q. Rev. Biol. · 1959 · 34 · 85
14. 10.1038/269080a010.1038/269080a0 ↗
15. 10.1002/jbmr.21110.1002/jbmr.211 ↗
16. 10.1007/s12195-010-0129-810.1007/s12195-010-0129-8 ↗
17. 10.1073/pnas.050519310210.1073/pnas.0505193102 ↗
18. 10.1093/oso/9780198568643.001.000110.1093/oso/9780198568643.001.0001 ↗
19. Idelchik I. · 1966
20. Mondal S. · J. Visualized Exp. · 2012 · 3780