journal article·2025-06Open access

Interfacial Yield Stress Response in Synthetic Mucin Solutions

Sumit Sunil Kumar, Travis Leadbetter, J. Brandon McClimon, Manuel A. Lema, Farhana M. Khan, Prashant K. Purohit, Adam B. Braunschweig, Robert W. Carpick

Advanced Materials Interfaces· Volume 12· Issue 12

Abstract

Abstract The solution rheology of a fully synthetic, monodisperse mucin that mimics the glycosylated domains of natural mucins, poly(β‐Gal‐Thr)22, is studied to systematically explore relationships between polymer structure, solution conditions, and rheological properties. Using standard cone‐plate rheometry, shear thinning is observed over a range of concentrations, with an apparent yield stress—typical for gels—evident at the highest concentrations. This is surprising given the dilute, weakly interacting nature of the solutions and the lack of observable structure in cryogenic electron microscopy and particle tracking microrheology. However, interfacial rheometry demonstrates that the gel‐like behavior is attributable to a thin structured layer at the air–water interface, without any bulk gelation. This is attributed to an interfacial layer formed by inter‐mucin H‐bonds that yields when sheared. A computational model using kinetic Monte Carlo (kMC) simulations qualitatively reproduces the yield stress response of such a network through an intermolecular bonding potential. An analytical model of stochastic bond formation and breaking, validated by the kMC simulations, demonstrates that having multiple bonding sites per mucin with a force‐dependent debonding rate aligns with experiments, consistent with intermolecular interactions for other mucin proteins. This suggests that in mucin solutions, gelation may begin at the air–water interface, and emphasizes the need for multitechnique validation when exploring structural cues of mucus gelation through rheometry.
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Research context

OpenAlex topics: Advanced Cellulose Research Studies · Hydrogels: synthesis, properties, applications · Surfactants and Colloidal Systems

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Mechanical Engineering and Applied Mechanics University of Pennsylvania Philadelphia PA 19104 USA

Graduate Group in Applied Mathematics and Computational Science University of Pennsylvania Philadelphia PA 19104 USA

Advanced Science Research Center Graduate Center at the City University of New York New York NY 10031 USA

Department of Chemistry Hunter College New York NY 10065 USA

PhD Program in Chemistry Graduate Center at the City University of New York New York NY 10016 USA

Nomi Materials Corp. New York NY 10040 USA

PhD Program in Biochemistry Graduate Center at the City University of New York New York NY 10016 USA

Funding

National Science Foundation

References (85)

Show source-provided references
1. 10.1021/acsbiomaterials.0c0071310.1021/acsbiomaterials.0c00713 ↗
2. 10.1242/jcs.19348210.1242/jcs.193482 ↗
3. 10.1039/C8BM00471D10.1039/C8BM00471D ↗
4. 10.1093/icb/42.6.116410.1093/icb/42.6.1164 ↗
5. 10.1038/srep3037110.1038/srep30371 ↗
6. 10.1063/1.210292710.1063/1.2102927 ↗
7. 10.1038/s41467-023-35907-410.1038/s41467-023-35907-4 ↗
8. 10.1016/S0167-8922(03)80157-810.1016/S0167-8922(03)80157-8 ↗
9. 10.1038/s41467-023-41094-z10.1038/s41467-023-41094-z ↗
10. 10.1016/j.tim.2021.03.01410.1016/j.tim.2021.03.014 ↗
11. 10.1016/j.cis.2023.10304910.1016/j.cis.2023.103049 ↗
12. 10.1002/ppul.2453010.1002/ppul.24530 ↗
13. 10.3390/ijms2015375510.3390/ijms20153755 ↗
14. 10.1016/j.cocis.2005.11.00110.1016/j.cocis.2005.11.001 ↗
15. A.Curnutt K.Smith E.Darrow K. B.Walters E. S.Vasquez S.Kundu inAJKFluids2019: Fluid Measurement and Instrumentation; Micro and Nano Fluid Dynamics Vol.4 American Society of Mechanical Engineers (ASME) New York City2019 p.382 https://asmedigitalcollection.asme.org/FEDSM/proceedings/AJKFluids2019/59070/V004T06A016/1069383.
16. 10.1021/acs.biomac.1c0007310.1021/acs.biomac.1c00073 ↗
17. 10.1007/s11249-021-01529-410.1007/s11249-021-01529-4 ↗
18. 10.15446/ing.investig.v35n2.5001910.15446/ing.investig.v35n2.50019 ↗
19. 10.1021/acs.biomac.2c0101610.1021/acs.biomac.2c01016 ↗
20. 10.1098/rsfs.2022.002810.1098/rsfs.2022.0028 ↗
21. 10.1016/j.cis.2017.12.00510.1016/j.cis.2017.12.005 ↗
22. 10.1177/1045441193004003020110.1177/10454411930040030201 ↗
23. 10.1021/acs.macromol.1c0247710.1021/acs.macromol.1c02477 ↗
24. 10.1016/j.cossms.2022.10103110.1016/j.cossms.2022.101031 ↗
25. 10.1177/1934578X1986860610.1177/1934578X19868606 ↗
26. 10.1016/j.addr.2020.12.00910.1016/j.addr.2020.12.009 ↗
27. 10.1016/j.actbio.2015.03.02410.1016/j.actbio.2015.03.024 ↗
28. 10.1002/adfm.20200842810.1002/adfm.202008428 ↗
29. 10.1002/adfm.20190258110.1002/adfm.201902581 ↗
30. 10.1002/adma.20200551310.1002/adma.202005513 ↗
31. 10.3390/nu1302069410.3390/nu13020694 ↗
32. 10.1021/la025515d10.1021/la025515d ↗
33. 10.1016/j.carres.2007.10.00510.1016/j.carres.2007.10.005 ↗
34. 10.1021/bm060969110.1021/bm0609691 ↗
35. 10.1002/cplu.20200063710.1002/cplu.202000637 ↗
36. 10.1021/cr010439p10.1021/cr010439p ↗
37. 10.1002/anie.20171307510.1002/anie.201713075 ↗
38. 10.1073/pnas.151612711210.1073/pnas.1516127112 ↗
39. 10.1016/j.tcb.2011.06.00210.1016/j.tcb.2011.06.002 ↗
40. 10.1021/la047941010.1021/la0479410 ↗
41. 10.1122/8.000051710.1122/8.0000517 ↗
42. 10.1515/arh-2020-011610.1515/arh-2020-0116 ↗
43. 10.1007/s00397-009-0422-410.1007/s00397-009-0422-4 ↗
44. 10.1021/ma000417p10.1021/ma000417p ↗
45. 10.1038/s41598-020-65392-410.1038/s41598-020-65392-4 ↗
46. 10.1111/j.1745-4603.1994.tb01321.x10.1111/j.1745-4603.1994.tb01321.x ↗
47. 10.1146/annurev.fl.24.010192.00040310.1146/annurev.fl.24.010192.000403 ↗
48. 10.1016/j.cossms.2019.06.00210.1016/j.cossms.2019.06.002 ↗
49. 10.1039/b615546d10.1039/b615546d ↗
50. 10.1073/pnas.090343810610.1073/pnas.0903438106 ↗
51. 10.1016/S0006-3495(99)77288-710.1016/S0006-3495(99)77288-7 ↗
52. 10.1016/j.cell.2020.09.02110.1016/j.cell.2020.09.021 ↗
53. 10.1016/j.foodhyd.2007.05.01410.1016/j.foodhyd.2007.05.014 ↗
54. 10.1021/acs.langmuir.5b0054810.1021/acs.langmuir.5b00548 ↗
55. 10.1021/acs.biomac.7b0080910.1021/acs.biomac.7b00809 ↗
56. 10.1007/s00397-009-0407-310.1007/s00397-009-0407-3 ↗
57. 10.1122/1.513062010.1122/1.5130620 ↗
58. 10.3390/polym1403036010.3390/polym14030360 ↗
59. 10.3390/eng403010710.3390/eng4030107 ↗
60. 10.1098/rsta.2009.019410.1098/rsta.2009.0194 ↗
61. 10.1242/jeb.88.1.37510.1242/jeb.88.1.375 ↗
62. 10.1038/285160a010.1038/285160a0 ↗
63. 10.1007/s00397-008-0267-210.1007/s00397-008-0267-2 ↗
64. 10.1016/j.ijbiomac.2017.04.06310.1016/j.ijbiomac.2017.04.063 ↗
65. 10.1002/smll.20230620710.1002/smll.202306207 ↗
66. 10.1039/c0sm01312a10.1039/c0sm01312a ↗
67. 10.1039/D0CP04174B10.1039/D0CP04174B ↗
68. 10.2116/analsci.31.100510.2116/analsci.31.1005 ↗
69. 10.1021/jp076316b10.1021/jp076316b ↗
70. 10.3109/1083745090291192910.3109/10837450902911929 ↗
71. 10.1017/S002211200200826110.1017/S0022112002008261 ↗
72. 10.1016/j.jnnfm.2006.08.01010.1016/j.jnnfm.2006.08.010 ↗
73. 10.1063/1.45370810.1063/1.453708 ↗
74. 10.1016/j.jsb.2003.10.02910.1016/j.jsb.2003.10.029 ↗
75. 10.1021/ja209454a10.1021/ja209454a ↗
76. 10.1039/C9SM01930H10.1039/C9SM01930H ↗
77. 10.1016/j.jmps.2021.10466010.1016/j.jmps.2021.104660 ↗
78. 10.1063/1.504615910.1063/1.5046159 ↗
79. 10.1122/8.000055610.1122/8.0000556 ↗
80. 10.1021/ma00130a00810.1021/ma00130a008 ↗
81. 10.1002/1439-7641(20020315)3:3<255::AID-CPHC255>3.0.CO;2-M10.1002/1439-7641(20020315)3:3<255::AID-CPHC255>3.0.CO;2-M ↗
82. 10.1021/ar050084m10.1021/ar050084m ↗
83. 10.1016/S0006-3495(02)75416-710.1016/S0006-3495(02)75416-7 ↗
84. 10.1002/chem.20210166010.1002/chem.202101660 ↗
85. 10.1016/0016-5085(89)91433-910.1016/0016-5085(89)91433-9 ↗