The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Effect of Surface Wettability on the Adhesion of Proteins
Abstract
Besides significantly broadening the scope of available data on adhesion of proteins on solid substrates, we demonstrate for the first time that all seven proteins (tested here) behave similarly with respect to adhesion exhibiting a step increase in adhesion as wettability of the solid substrate decreases. Also, quantitative measures of like-protein-protein and like-self-assembled-monolayer (SAM)-SAM adhesive energies are provided. New correlations, not previously reported, suggest that the helix and random content (as measures of secondary structure) normalized by the molecular weight of a protein are significant for predicting protein adhesion and are likely related to protein stability at interfaces. Atomic force microscopy (AFM) was used to directly measure the normalized adhesion or pull-off forces between a set of seven globular proteins and a series of eight well-defined model surfaces (SAMs), between like-SAM-immobilized surfaces and between like-protein-immobilized surfaces in phosphate buffer solution (pH 7.4). Normalized force-distance curves between SAMs (alkanethiolates deposited on gold terminated with functional uncharged groups -CH3, -OPh, -CF3, -CN, -OCH3, -OH, -CONH2, and -EG3OH) covalently attached to an AFM cantilever tip modified with a sphere and covalently immobilized proteins (ribonuclease A, lysozyme, bovine serum albumin, immunoglobulin, gamma-globulins, pyruvate kinase, and fibrinogen) clearly illustrate the differences in adhesion between these surfaces and proteins. The adhesion of proteins with uncharged SAMs showed a general "step" dependence on the wettability of the surface as determined by the water contact angle under cyclooctane (thetaco). Thus, for SAMs with thetaco < approximately 66 degrees, (-OH, -CONH2, and -EG3OH), weak adhesion was observed (>-4 +/- 1 mN/m), while for approximately 66 < thetaco < approximately 104 degrees, (-CH3, -OPh, -CF3, -CN, -OCH3), strong adhesion was observed (< or =8 +/- 3 mN/m) that increases (more negative) with the molecular weight of the protein. Large proteins (170-340 kDa), in contrast to small proteins (14 kDa), exhibit characteristic stepwise decompression curves extending to large separation distances (hundreds of nanometers). With respect to like-SAM surfaces, there exists a very strong adhesive (attractive) interaction between the apolar SAM surfaces and weak interactive energy between the polar SAM surfaces. Because the polar surfaces can form hydrogen bonds with water molecules and the apolar surfaces cannot, these measurements provide a quantitative measure of the so-called mean hydrophobic interaction (approximately -206 +/- 8 mN/m) in phosphate-buffered saline at 296 +/- 1 K. Regarding protein-protein interactions, small globular proteins (lysozyme and ribonuclease A) have the least self-adhesion force, indicating robust conformation of the proteins on the surface. Intermediate to large proteins (BSA and pyruvate kinase-tetramer) show measurable adhesion and suggest unfolding (mechanical denaturation) during retraction of the protein-covered substrate from the protein-covered AFM tip. Fibrinogen shows the greatest adhesion of 20.4 +/- 2 mN/m. Unexpectedly, immunoglobulin G (IgG) and gamma-globulins exhibited very little adhesion for intermediate size proteins. However, using a new composite index, n (the product of the percent helix plus random content times relative molecular weight as a fraction of the largest protein in the set, Fib), to correlate the normalized adhesion force, IgG and gamma-globulins do not behave abnormally as a result of their relatively low helix and random (or high sheet) content.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Nonequilibrium Equality for Free Energy Differences
Jarzynski, C. (1997) · Physical Review Letters · doi:10.1103/physrevlett.78.2690 · Cited by 5,293
Knowledge‐based protein secondary structure assignment
Frishman, D., & Argos, P. (1995) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.340230412 · Cited by 2,523
Direct measurement of colloidal forces using an atomic force microscope
Ducker, W. A., Senden, T. J., & Pashley, R. M. (1991) · Nature · doi:10.1038/353239a0 · Cited by 2,075
Protein misfolding, evolution and disease
Dobson, C. M. (1999) · Trends in Biochemical Sciences · doi:10.1016/s0968-0004(99)01445-0 · Cited by 1,952
Cleveland, J. P., Manne, S., Bocek, D., & Hansma, P. K. (1993) · Review of Scientific Instruments · doi:10.1063/1.1144209 · Cited by 1,642
Prime, K. L., & Whitesides, G. M. (1993) · Journal of the American Chemical Society · doi:10.1021/ja00076a032 · Cited by 1,620
Nuzzo, R. G., Dubois, L. H., & Allara, D. L. (1990) · Journal of the American Chemical Society · doi:10.1021/ja00158a012 · Cited by 1,569
Liphardt, J., Dumont, S., Smith, S. B., Tinoco, I., & Bustamante, C. (2002) · Science · doi:10.1126/science.1071152 · Cited by 1,243
Adsorption of proteins from solution at the solid-liquid interface
Norde, W. (1986) · Advances in Colloid and Interface Science · doi:10.1016/0001-8686(86)80012-4 · Cited by 1,102
Effect of Surface Wettability on the Adsorption of Proteins and Detergents
Sigal, G. B., Mrksich, M., & Whitesides, G. M. (1998) · Journal of the American Chemical Society · doi:10.1021/ja970819l · Cited by 816
Cited by
Effects of surface wettability and contact time on protein adhesion to biomaterial surfaces
Xu, L.-C., & Siedlecki, C. A. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2007.03.032 · Cited by 715
Proteins, platelets, and blood coagulation at biomaterial interfaces
Xu, L.-C., Bauer, J. W., & Siedlecki, C. A. (2014) · Colloids and Surfaces B: Biointerfaces · doi:10.1016/j.colsurfb.2014.09.040 · Cited by 391
Hou, Y., Wang, W., & Bartolo, P. (2022) · Materials & Design · doi:10.1016/j.matdes.2022.110582 · Cited by 75
Metadata
- Authors
- Sethuraman, A., Han, M., Kane, R. S., & Belfort, G.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2004-07-30
- Volume
- 20
- Issue
- 18
- Pages
- 7779-7788
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2040343906
- Cited by
- 344
- References
- 33
- FWCI
- 7.57
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Effect of Surface Wettability on the Adhesion of Proteins. https://app.cochat.ai/papers/10.1021/la049454q
- The paper
- Sethuraman, A., Han, M., Kane, R. S., & Belfort, G. (2004). Effect of Surface Wettability on the Adhesion of Proteins. Langmuir. https://doi.org/10.1021/la049454q
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.